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IN THE NAME OF ALLAH
THE MOST BENEFICENT THE MOST MERCIFUL
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ASSESSMENT OF PRODUCTIVE POTENTIAL OF BROWSE SPECIES
AND THEIR MANAGEMENT STRATEGY IN THE DEGRADING
RANGELANDS OF CHOLISTAN DESERT
By
MUHAMMAD ABDULLAH
M.Sc. (Hons.) FORESTRY
A THESIS SUBMITTED IN ACCORDANCE WITH THE
REQUIREMENTS FOR THE DEGREE OF
DOCTOR OF PHILOSOPHY
IN
FORESTRY
DEPARTMENT OF FORESTRY RANGE MANAGEMENT AND WILDLIFE
UNIVERSITY OF AGRICULTURE FAISALABAD PAKISTAN 2013
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The Controller of Examinations
University of Agriculture
Faisalabad
We the supervisory committee certifies that the contents and form of the thesis submitted by
Mr. Muhammad Abdullah, Registration No. 2001-ag-2617 have been found satisfactory and
recommend that it be processed for final evaluation by External Examiner(s) for the award of
degree.
SUPERVISORY COMMITTEE
1. PROF. DR. RASHID AHMAD KHAN .
(CHAIRMAN)
2. DR. SHAHID YAQOOB .
(MEMBER)
3. PROF. DR. MUNIR AHMAD .
(MEMBER)
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DECLARATION __ _______ _____________ ___
I Muhammad Abdullah declare that dissertation “ASSESSMENT OF PRODUCTIVE
POTENTIAL OF BROWSE SPECIES AND THEIR MANAGEMENT STRATEGY IN THE
DEGRADING RANGELANDS OF CHOLISTAN DESERT” hereby submitted for the requirement
of degree of doctor of philosophy is my original work. All the sources have been
acknowledged by the mean of complete references and the views expressed therein will
remain the responsibility of author. This work has not been submitted by me at any other
university/faculty in Pakistan or abroad. I further code the copyright of this thesis in favour
of University of Agriculture Faisalabad Pakistan.
SIGNATURE: .
MUHAMMAD ABDULLAH
DATE: .
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PREFACE __ _______ _____ ___________
All praise to Almighty ALLAH alone the most merciful, the most compassionate and Holy
Prophet MUHAMMAD (P.B.U.H) the most perfect and exalted among and even of ever born
on the surface of earth, who is far ever a torch of guidance and knowledge for the humanity. I
wish to thank the following persons, without whom the execution of this study would not
have been possible:
• My parents, for giving me the opportunity to make my dream a reality, amidst
difficult times, and my brothers, sisters, bhabies for all their support, unconditional
love and guidance during this study.
• My mentor and supervisor Prof. Dr. Rashid Ahmad Khan, for inspiring guidance,
constructive criticism and enlightened supervision especially his willingness to help
amidst a full program. Your support to promote the spirit of constant work and the
maintenance of professional integrity besides other invaluable words will always
serve as beacon of light in my life.
• My co-supervisor, Late Dr. Muhammad Arshad, for always sharing his expert
knowledge, dexterous guidance and for all his patience throughout the fieldwork. I
sincerely believe that without his patronage and assistance, this research work would
not have reached a successful culmination.
• My Supervisory Committee, Dr. Shahid Yaqoob, and Prof. Dr. Munir Ahmad, under
whose scholastic guidance and consistent encouragement, I have completed my work.
• My class fellows and friends (Rafay, Imran, Fahad, Usman, Akbar sab & Nadeen
bhae) who supported me at every step to accomplish this job. There are many other
individuals who supported me in various ways, although I cannot mention their
names here. I simply say thank you so much for your immense support.
• Higher Education Commission (HEC), Pakistan for sponsoring this research project
under the Indigenous Scholarship Scheme.
• All the staff of the Department of Forestry, Range management and wildlife for all
their support and encouragement throughout the study.
MUHAMMAD ABDULLAH
abdullahfrw@gmail.com
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DEDICATION __ _______ _____________ ___
This thesis is dedicated to my father (CH. WALAYAT ALI) whose proper guidance and effort
inspired a great interest of learning in my mind and to my mother who provides me all her love and
sacrificed her interests for my success that will be remembered forever.
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TABLE OF CONTENTS___ ___ ____ ________ _____ A. MINOR CONTENTS PAGE No.
TITLE 2
SUPERVISORY COMMITTEE 3
DECLARATION 4
PREFACE 5
DEDICATION 6
TABLE OF CONTENTS 7
LIST OF FIGURES, PLATES AND TABLES 10
LIST OF ACRONYMS 11
ABSTRACT 12
B. MAJOR CONTENTS CHAPTER 1: INTRODUCTION
1.1: BACKGROUND AND JUSTIFICATION 13
1.2: OBJECTIVES 16
1.2.1: GENERAL OBJECTIVE 16
1.2.2: SPECIFIC OBJECTIVES 16
CHAPTER 2: LITERATURE REVIEW 2.1: FLORISTIC COMPOSITION 17
2.2: PHYTOSOCIOLOGY 19
2.2.1: COMMUNITY STRUCTURE 19
2.2.2: MULTIVARIATE ANALYSIS 21
2.3: BROWSE FORAGE PRODUCTION 24
2.4: RANGE CARRYING CAPACITY 26
2.5: PALATABILITY CLASSIFICATION 29
2.6: NUTRITIONAL EVALUATION 30
2.6.1: PROXIMATE COMPOSITION 32
2.6.2: STRUCTURAL COMPOSITION 33
2.6.3: MINERAL COMPOSITION 35
CHAPTER 3: MATERIAL AND METHODS 3.1: DESCRIPTION OF STUDY AREA 3.1.1: GEOGRAPHICAL LOCATION 38
3.1.2: HISTORY OF CHOLISTAN DESERT 38
3.1.3: CLIMATE 38
3.1.4: SOIL 40
3.1.5: VEGETATION 40
3.1.6: SOCIOECONOMIC ASPECT 41
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3.2: DATA COLLECTION METHODS 3.2.1: RECONNAISSANCE SURVEY AND STUDY SITES 43
3.2.2: FLORISTIC ANALYSIS OF BROWSES 44
3.2.2.1: COLLECTION OF PLANTS 44
3.2.2.2: FLORISTIC COMPOSITION 44
3.2.2.3: PHENOLOGICAL PATTERNS 44
3.2.2.4: ECONOMIC USE CLASSIFICATION 45
3.2.2.5: STATISTICAL ANALYSIS 45
3.2.3: PHYTOSOCIOLOGICAL ANALYSIS 45
3.2.3.1: ANALYTIC PHASE (BOTANICAL SURVEY) 45
3.2.3.2: SYNTHETIC PHASE (DATA ANALYSIS) 45
3.2.3.3: COORDINATES 46
3.2.4: SOIL ANALYSIS 47
3.2.4.1: SOIL SAMPLING 47
3.2.4.2: PREPARATION OF SATURATED SOIL PASTE 47
3.2.4.3: SATURATION PERCENTAGE 47
3.2.4.4: SOIL pH AND ELECTRICAL CONDUCTIVITY 47
3.2.4.5: ORGANIC MATTER AND SOIL MOISTURE 47
3.2.4.6: AVAILABLE PHOSPHORUS, SODIUM AND POTASSIUM 48
3.2.5: BROWSE FORAGE PRODUCTION 48
3.2.6: RANGE CARRYING CAPACITY 48
3.2.7: PALATABILITY CLASSIFICATION OF BROWSES 49
3.2.8: NUTRITIONAL EVALUATION OF BROWSES 49
3.2.8.1: PROCUREMENT OF SAMPLES 49
3.2.8.2: PROXIMATE ANALYSIS 49
3.2.8.3: FIBER FRACTIONS 49
3.2.8.4: MINERAL PROFILE 50
3.2.8.5: STATISTICAL ANALYSIS 50
CHAPTER 4: RESULTS 4.1: FLORISTIC INVENTORY OF BROWSES 51
4.1.1: FLORISTIC COMPOSITION 51
4.1.2: PHENOLOGICAL PATTERNS 53
4.1.3: ECONOMIC USE CLASSIFICATION 54
4.2: PHYTOSOCIOLOGICAL STUDY OF BROWSES 54
4.2.1: COMMUNITY STRUCTURE 54
4.2.2: MULTIVARIATE ANALYSIS 63
4.2.2.1: CLASSIFICATION 63
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4.2.2.2: ORDINATION 66
4.3: FORAGE PRODUCTION OF BROWSES 69
4.4: RANGE CARRYING CAPACITY 70
4.5: PALATABILITY CLASSIFICATION OF BROWSES 72
4.5.1: DEGREE OF PALATABILITY 72
4.5.2: PALATABILITY BY PARTS GRAZED 72
4.5.3: PALATABILITY BY ANIMAL PREFERENCES 73
4.6: NUTRITIONAL EVALUATION OF BROWSES 74
4.6.1: PROXIMATE COMPOSITION 74
4.6.2: STRUCTURAL COMPOSITION 75
4.6.3: MINERAL COMPOSITION 76
CHAPTER 5: DISCUSSION 5.1: FLORISTIC INVENTORY OF BROWSES 78
5.1.1: FLORISTIC COMPOSITION 78
5.1.2: PHENOLOGICAL PATTERNS 79
5.1.3: ECONOMIC USE CLASSIFICATION 81
5.2: PHYTOSOCIOLOGICAL STUDY OF BROWSES 83
5.2.1: COMMUNITY STRUCTURE 83
5.2.2: MULTIVARIATE ANALYSIS 85
5.3: FORAGE PRODUCTION OF BROWSES 89
5.4: RANGE CARRYING CAPACITY 92
5.5: PALATABILITY CLASSIFICATION OF BROWSES 94
5.6: NUTRITIONAL EVALUATION OF BROWSES 98
5.6.1: PROXIMATE COMPOSITION 98
5.6.2: STRUCTURAL COMPOSITION 100
5.6.3: MINERAL COMPOSITION 101
CHAPTER 6: CONCLUSION AND MANAGEMENT STRATEGY 6.1: GENERAL CONCLUSIONS 109
6.2: MANAGEMENT STRATEGY 112
CHAPTER 7: LITERATURE CITED 115 CHAPTER 8: ANNEXURE
8.1: ECOLOGICAL ATTRIBUTES OF BROWSE SPECIES 144
8.2: PHENOLOGICAL PATTERNS OF BROWSE SPECIES 145
8.3: ECONOMIC USE CLASSIFICATION OF BROWSE SPECIES 146
8.4: NAME, LOCATION, AND TOPOGRAPHY OF EACH STAND 147
8.5: SEASONAL BROWSE PRODUCTION (kg/ha) AND GRAZING STATUS OF STANDS 148
8.6: PALATABILITY CLASSIFICATION OF BROWSE SPECIES 149
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LIST OF FIGURES, PLATES, AND TABLES __ ___ ____
FIGURES PAGE No.
FIGURE 3.1: MAP OF STUDY AREA; THE CHOLISTAN DESERT 43
FIGURE 3.2: LAYOUT OF DATA COLLECTION METHODS 46
FIGURE 4.1: PHENOLOGICAL PATTERNS OF BROWSE SPECIES 53
FIGURE 4.2: DENDROGRAM FROM CLUSTER ANALYSIS OF STANDS 64
FIGURE 4.3: DETRENDED CORRESPONDENCE ANALYSIS (DCA) OF STANDS 67
FIGURE 4.4: CCA BIPLOT OF STANDS WITH ENVIRONMENTAL (SOIL) VARIABLES 68
FIGURE 4.5: SEASONAL BROWSE FORAGE YIELD (kg/ha) AT THREE RANGE HABITATS 70
FIGURE 4.6: CLASSIFICATION OF BROWSES BASED ON PALATABILITY 72
FIGURE 4.7: CLASSIFICATION OF BROWSES BASED ON PARTS USED 73
FIGURE 4.8: CLASSIFICATION OF BROWSES BASED ON LIVESTOCK PREFERENCES 73
TABLES TABLE 3.1: MEAN MONTHLY METEOROLOGICAL DATA OF CHOLISTAN RANGELANDS 39
TABLE 4.1: FAMILY IMPORTANCE INDEX OF BROWSE SPECIES 51
TABLE 4.2: BROWSE SPECIES WITH FAMILY, BOTANICAL, AND VERNACULAR NAMES 52 TABLE 4.3: ECONOMIC USE CLASSIFICATION OF BROWSE SPECIES 54
TABLE 4.4: COMMUNITY STRUCTURE AND IMPORTANCE VALUE INDEX OF BROWSES 58
TABLE 4.5: SOIL PHYSIO-CHEMICAL ANALYSIS OF BROWSE COMMUNITIES 62
TABLE 4.6: MEAN IMPORTANCE VALUES OF PLANT SPECIES IN THREE ASSOCIATIONS 65
TABLE 4.7: MEAN VALUES OF SOIL ANALYSIS AT THREE ASSOCIATIONS 66
TABLE 4.8: SUMMARY OF DETRENDED CORRESPONDENCE ANALYSIS 67
TABLE 4.9: SUMMARY OF CANONICAL CORRESPONDENCE ANALYSIS 69
TABLE 4.10: SEASONAL CARRYING CAPACITY AT THREE RANGE HABITATS 71
TABLE 4.11: PROXIMATE COMPOSITION OF SELECTED BROWSE SPECIES (ON DM BASIS) 74
TABLE 4.12: STRUCTURAL COMPOSITION OF SELECTED BROWSE SPECIES (ON DM BASIS) 75
TABLE 4.13: MINERAL COMPOSITION OF SELECTED BROWSE SPECIES (ON DM BASIS) 77
PLATES PLATE 1.1: AERIAL VIEWS OF CHOLISTAN RANGELANDS (a, b) 16
PLATE 2.1: AUTHOR DURING CAMPING IN CHOLISTAN RANGELANDS (a, b) 37
PLATE 3.1: NOMADIC LIFE STYLE IN CHOLISTAN RANGELANDS (a, b, c, d) 42
PLATE 3.2: RAIN WATER HARVESTING PONDS IN CHOLISTAN RANGELANDS (a, b) 50
PLATE 5.1: ILLEGAL CUTTING AND BURNING OF BROWSE SPECIES (a, b, c, d) 82
PLATE 5.2: SANDUNAL (a, b) INTERDUNAL SANDY (c, d) AND CLAYEY SALINE (e, f) HABITATS 87, 88
PLATE 5.3: VEGETATION STRUCTURE IN DRY (a) AND WET SEASON (b) 91
PLATE 5.4: TYPES OF GRAZING LIVESTOCK IN CHOLISTAN RANGELANDS (a, b, c, d) 97
PLATE 5.5: NOMADIC HERDERS OF CHOLISTAN RANGELANDS (a, b, c, d) 108
PLATE 7.1: LIVESTOCK DEATH; A SEVERE EFFECT OF DROUGHT (a, b) 143
PLATE 8.1: SOME PICTURES TAKEN DURING FIELD WORK 150
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LIST OF ACRONYMS __ _______ _______ ______
A.O.A.C ASSOCIATION OF OFFICIAL ANALYTICAL CHEMISTS
ADF ACID DETERGENT FIBER
ADL ACID DETERGENT LIGNIN
ANOVA ANALYSIS OF VARIANCE
CA CLUSTER ANALYSIS
Ca CALCIUM
CC CARRYING CAPACITY
CCA CANONICAL CORRESPONDENCE ANALYSIS
CP CRUDE PROTEIN
CRD COMPLETELY RANDOMIZED DESIGN
Cu COPPER
DCA DETRENDED CORRESPONDENCE ANALYSIS
DM DRY MATTER
EC ELECTRICAL CONDUCTIVITY
Fe IRON
FIV FAMILY IMPORTANCE VALUE
GPS GLOBAL POSITIONING SYSTEM
IVI IMPORTANT VALUE INDEX
K POTASSIUM
KPK KHYBER PAKHTON KHAWA
LSD LEAST SIGNIFICANT DIFFERENCE
Mg MAGNESIUM
Mn MANGANESE
MVSP MULTIVARIATE STATISTICAL PACKAGE
Na SODIUM
NDF NEUTRAL DETERGENT FIBER
OM ORGANIC MATTER
P PHOSPHORUS
SAS STATISTICAL ANALYSIS SYSTEM
SRM SOCIETY OF RANGE MANAGEMENT
Zn ZINC
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ABSTRACT __ _______ _______ __________________________________ The Cholistan rangelands have been on decline due to various stresses and their effects can be visualized on its flora particularly on browse species. Therefore, a baseline study was carried to determine the productivity potential of browses with specific objectives of investigating their floristic composition, vegetation structure, forage productivity, and nutritive evaluation. Total 25 browse species belonging to 12 families and 17 genera were identified whereas Chenopodiaceae, Mimosaceae, and Rhamnaceae were found as dominant families that were mainly contributing to browse cover. In the investigated area two phenological seasons were recorded, first from February to April and second from September to November, whereas December to January and May to August were almost dormant phases. Further, based on economic importance of browses, maximum species were observed to be used as forage/fodder that clearly indicated that this area could serve as potential rangeland. According to phytosociological study, twenty browse communities were documented on the basis of importance value index. Multivariate analysis of twenty stands has delineated three vegetation associations inhabiting the sandunal, interdunal sandy and clayey saline habitats. Soil physio-chemical analysis revealed that texture of sandunal habitat was sandy; interdunal was sandy loam while clayey saline was clayey. Results have exposed that organic matter, and soil nutrients were better at interdunal sandy habitat whereas pH, EC, Na, and soil moisture were high at clayey saline habitat. It was estimated that browse productivity was high (8029.1 kg/ha) in wet season as compare to dry season (5422.9 kg/ha), correspondingly carrying capacity was high during wet season (16 ha/AU/Y) than dry season (24 ha/AU/Y). Moreover, during dry season, mostly stands were observed to be overgrazed while in wet season maximum stands were moderately grazed. High carrying capacity and good grazing status of stands in wet season was due to better forage production. Based on palatability classification, 22 species were found to have palatability to varying degree and 03 species were non-palatable. In palatable species, leaves of 14 species; shoot/stem of 13 species, flower of 04 species, and fruit of 03 species were grazed by livestock, whereas cattle were observed to graze on 07 species; goat and sheep like 10 species each while camel prefer 20 species. Subsequently, nutritive evaluation revealed that browse species were good source of dry matter and protein whereas; concentration of almost all the minerals (micro and macro) was less than required level for ruminants grazing therein. The findings of this study indicate that the browse productivity of Cholistan rangelands was low and fluctuate according to seasons. Therefore, they need proper protection, management, and rehabilitation through ecological approaches. This would be possible with the participation of government and local peoples to make these range resources sustainable. Key words: Cholistan rangelands, Browse species, Floristic composition, Phenology, vegetation structure, Multivariate analysis, Biomass production, Carrying capacity, Palatability, Nutritive evaluation
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INTRODUCTION___ _________________ CHAPTER 1
1.1: BACKGROUND AND JUSTIFICATION
Rangelands can be defined as the areas on which natural vegetation is mainly grasses, forbs,
or shrubs suitable for browsing or grazing, which also include lands revegetated artificially or
naturally to provide forage that is managed like native vegetation (SRM., 1999). Rangelands
cover about 50% of world land surface and are essentially the larger tracts of natural
vegetation, used to support animal production (Friedel et al., 2000). Majority of these
rangelands are located in vegetation biomes such as grasslands, shrublands, savannas, and
deserts. These areas are often characterized by arid climate that experience low rainfall, large
daily and seasonal temperature extremities (Vetter et al., 2006).
Pakistan is a sub-tropical country, which consists of vast semi-arid and arid tracks of land,
stretches over 68 million hectares (Majeed et al., 2002). Out of total area of Pakistan (80
million ha) 49 million hectare has been classified as rangelands which are almost consisting
of arid to semiarid conditions. According to provincial position, Punjab constitutes 40%,
Sindh 55%, K.P.K. 60%, and Baluchistan 90% to rangeland sector. These rangelands
encompass alpine pastures in northern mountains, temperate and mediterranean ranges in
western mountains and arid to semi-arid desert ranges in Indus plains. The rangelands of
Pakistan show a great diversity of species composition, structure, productivity and eventually
their capacity to support livestock production (Mohammad & Naz, 1985).
Rangelands are very important from the environmental point of view because they provide
vegetation cover, protection for soil, which also ensures sustainable economic production of
feed for animals. Especially browse plants (shrubs & tree foliage) beside grasses compose
one of the cheapest sources of feed for animals in many parts of the World. Mostly the
browses have advantage of maintaining their nutritive value and greenness during the dry
season when grasses dry up and decline in both quantity and quality (Kibon & Orskov,
1993). This nutritious profusion and perennial performance of browse species afford round
the year provision of forage for grazing livestock (Aganga & Mosase, 2001).
Rangelands of Pakistan sustain thirty million herds of grazing animals that provide 400
million US $ to annual export income (Anon., 2006). In Pakistan, small ruminants obtain
more than 60% of their feed necessities from arid and semi-arid rangelands (Khan et al.,
1990). Previous policies have always supported the crops production over livestock, leading
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in the misuse of lands having economically ineffectual productive potential. Livestock sector
play very significant role because it provides various services for humankind like milk and
meat, which are vital components of our diet. Livestock occupies a key position in the rural
economy of Pakistan for improving the living standard of small resource peoples (Khan et
al., 2005).
Rangelands, which constitute about 65% of the total area of Pakistan, are degrading and
facing many difficulties like short growth period, over grazing, droughts, soil erosion, and
marginal availability of productive perennial species. The herbaceous vegetation of these
rangelands only flourishes in the monsoon season, accordingly livestock herds show pitiable
health and produce very poor yield of meat and milk. These problems are common
everywhere in the world where arid or semiarid rangelands exist. Therefore, developing
countries like Pakistan face the similar situation in their rangelands productivity and health
(Ahmad & Hasnain, 2001).
Rangeland degradation is a worldwide issue, upsetting not only pastoralists who depend on
healthy rangelands for existence but also others who experience hydrological disturbances,
commodity scarcity and dust storms (Harris, 2010). The main causes for rangeland
degradation are low carrying capacity, unscientific livestock management, excessiveness of
unpalatable species, change in climate, and disturbance of soil by small mammals.
Overgrazing is a major land problem in arid and semi-arid areas, together with conversion of
lands to cultivated farms and because of spatial and temporal variability; it is very difficult to
quantify (Landsberg & Crowley, 2004).
The rangelands of Pakistan are in the process of deterioration due to extreme climatic
conditions, unplanned grazing, prolonged droughts, mismanagement in the utilization of
water resources and deforestation. The productivity of Pakistan rangelands is very poor and it
is not possible to utilize them for continued agriculture purposes, however graziers and
nomadic peoples are using these rangelands, which are providing 40-50% forage demand of
their animals (Mohammad, 1989). Information about vegetation and livestock grazing
behavior is important to understand and manage both plant and animal resources in order to
enhance the productivity of grazing areas (Papachristou, 1997). These vast natural resources
of Pakistan are not managed by scientific approaches and presently, only 10-15% of their
actual potential is being documented (Ali et al., 2001).
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The desertification of rangelands does not refer to the spreading out of existing deserts, but to
the process of land degradation in these natural ecosystems and is defined as the destruction
of the biological potential, caused by exceeding the carrying capacity of land (Van-Auken,
2000). Deserts are unique habitats, categorized by punishing temperature, extreme wind
velocity, lack of moisture, high solar radiations and coarse topography where very limited
species of animals and plants are adapted to stay alive (Bhandari, 1995). A good percentage
of human population in the subcontinent depend upon desert resources and increasing human
population and communication links has extended the human misuse of these biotic
resources, due to simplicity of the ecosystems (Fullen & Mitchell, 1994).
The Cholistan desert was formerly a thriving and prosperous area but now largely converting
into an abandoned patch. The productivity of its rangelands is degrading because the
livestock number is increasing; ultimately, carrying capacity of this area is decreasing.
Sustainability of life in this hot desert rotates around the annual rainfall. During summer
season, weather is tremendously severe and harsh; certain xeric plant species survive but
suffer high grazing pressure and leading to partial eradication. Resultantly, the palatable
species are diminishing slowly and unpalatable species with less nutritious properties are
becoming abundant. Continuous increase in human population for livelihood and multiplying
the number of livestock is adding towards the desertification (Akhter & Arshad, 2006).
In Cholistan rangelands during summer season, the nomadic pastoralists migrate with their
cattle, sheep, and goats towards nearby canal-irrigated areas. However, a few male members
of some clans remain in desert for the take care of their camel herds. These camels are seen
everywhere in the desert, browsing on different shrubs and tree species including Prosopis
cineraria, Tamarix aphylla, Acacia nilotica, Calligonum polygonoides, Sueda fruticosa,
Haloxylon salicornicum, Capparis decidua etc. These browse species are one of the most
important and nutritionally rich sources of feed for livestock in Cholistan rangelands (Akhter
& Arshad, 2006). Due to year round stress, the browses of Cholistan rangelands are under
severe threat and need detail assessment of their productivity potential.
Already no conservational measures have been made in Cholistan rangelands because of
unavailability of sufficient baseline data about their potential. In order to preserve the
optimum production and justifiable use of range resources in future, information about the
current range resources is very important. Therefore, this study was being planned to collect
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the base line data about the productivity potential of browses and on the bases of this
information to chalk out their management strategy in Cholistan rangelands.
1.2: OBJECTIVES OF THE STUDY
1.2.1: GENERAL OBJECTIVE To evaluate the productive potential and propose a management strategy for the browses of
Cholistan rangelands
1.2.2: SPECIFIC OBJECTIVES
The study had following six inter-related specific objectives
1. To compile the floristic inventory of browses
2. To investigate the vegetation structure of browse species
3. To measure the browse forage production and carrying capacity
4. To determine the palatability, parts used and animal preferences of browses
5. To analyze the nutritional value of selected browse species
6. To propose a management strategy for the browses of Cholistan rangelands
a b
PLATE 1.1: AERIAL VIEWS OF CHOLISTAN RANGELANDS (a, b)
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LITERATURE REVIEW_____ _____ ____________ CHAPTER 2
In this chapter the main topics, which have been discussed, include floristic composition,
phytosociology, browse forage production, carrying capacity, palatability classification, and
nutritive evaluation.
2.1: FLORISTIC COMPOSITION
The diversity of flora is an imperative foundation for most of our terrestrial ecosystems. A
significant character of plant life is the provision of various services for ecosystem including
the enrichment of soils, protection of watersheds, moderation of climate and setting up of
habitat for wild fauna. Human beings and most other animals are more or less entirely
dependent on plants, directly or indirectly. Whereas it is commonly accepted, that the
understanding of natural distribution of plants (floristic studies) is vital to conserving
biodiversity and managing the ecosystems for long-term sustainability (Yavari &
Shahgolzari, 2010).
The information about floristic composition and diversity of an area is precondition for any
phytogeographical, ecological studies and conservational actions. Floristic studies have
acquired increasing importance in recent years in response to the need of developing and
under developing countries to assess their plant wealth. Floristic studies of particular
geographic area are indispensible for all the plant-based researches. They make available
baseline information's about plant wealth. Further these baseline references are used by
several researchers for sustainable utilization of their potential for the comfort of humankind.
The significance of such studies has now established globally, particularly in the
documentation of plant diversity with the ultimate objective of conserving germplasm
(Alanso et al., 2001).
The compilation of floras inventory by plant taxonomists is a common activity in the world
in order to have information about various plant species. Flora is considered as documented
checklist of various plants growing in a particular geographic region. As our biosphere is
extremely diverse and a vast variety of floras are existing that can be used for correct
identification of all plant wealth therefore its usage could be carried on scientific basis. The
identification of native plants with details of their region is imperative since it can represent
plant species of specific area, their growing season, defining new species and effect of over-
grazing and drought on vegetation (Ali, 2008).
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Plant species lists not only make available information on the floristic composition of an area
but also its natural status as well as affinities with other areas. In Pakistan, a total of 1572
genera and 5521 species of flowering plants have been identified. Among which 1389 genera
and 4758 species are published in 215 families in the form of Flora of Pakistan and 5 families
with 183 genera and 763 species are yet to be published (Ali, 2008). Little literature is
available about the different taxa of Cholistan desert. Few years back Arshad & Rao (1994)
has documented the vegetation of Cholistan rangelands (list of trees, shrubs, herbs, and
grasses). Now this detailed floristic and ecological survey was undertaken as part of
productivity analysis of browses of this area.
Several floristic studies have been reported from different areas of Pakistan e.g., Qureshi et
al., (2011a) has compiled floristic inventory of arid agriculture university farm and recorded
130 plant species consisting of 105 genera and 37 families. Further Qureshi, et al., (2011b)
has explored the biodiversity of khunjerab national park and reported 62 plant species
including 45 genera and 25 families. Qureshi & Bhatti, (2010) reported total 93 plant species
with 67 genera and 30 families from Pai Forest, Sindh. Durrani, et al., (2010) has evaluated
the ecological features, floristic composition, and ethnobotanical summary of plants of
aghberg rangelands, Balochistan. Dar & Malik (2009) has compiled the floristic list and
phenology of plants of Lawat, Azad Jammu Kashmir. Qureshi (2008a) presented a floristic
inventory of Chotiari wetland complex, Nawab Shah, Sindh. Subsequently Parveen &
Hussain (2007) has recognized 74 plant species comprising of 62 genera and 34 families
from Gorakh hill (Khirthar range).
However, various floristic studies have been reported from the different areas of world e.g.,
some studies have been reported from Indian desert that is found on other side of Thar Desert
of Pakistan (Shetty & Singh, 1991). Pharswan, et al., (2010) explored the flora of Kedarnath
(Garhwal Himalaya) and found 80 species, belonging 36 families. A study was conducted by
Yavari & Shahgolzari (2010) who encountered 213 specimens belonging to 164 genera and
45 families at Khan-Gormaz in Iran. Filmalter, (2010) documented the Hondekraal vascular
plant species, which comprises 302 species represented by 204 genera and 71 families.
Similarly Costa et al., (2007) reported 133 plant species and categorized them as therophytes,
phanerophytes, chamaephytes, hemicrytophytes and cryptophytes on life form basis.
19
2.2: PHYTOSOCIOLOGY
2.2.1: COMMUNITY STRUCTURE
Phytosociology visualize the existing vegetation structure, soil plant relationship, species
diversity and produce data on seasonal and temporal variation in accessible nutrients
(Mueller-Dumbois & Ellenberg, 1974). It also aims to classify and characterize the plant
communities in term of their structure and composition and therefore comes under the
umbrella of plant ecology (Hargreaves, 2008). Phytosociological studies are valuable means
to evaluate the vegetation of particular region, which in turn assist in planning, management,
and sustainable utilization of natural resource, because key links of food web viz., man,
livestock, soil organisms, and wild fauna are almost dependent on local vegetation. Data on
vegetation is considered a key source for habitat characterization e.g., in the assessment of
global biodiversity and for monitoring programs (Myers et al., 2000).
The plant communities of specific area are influenced by their phytogeographical positions,
human activities, climatic factors, and soil conditions. Plant communities are assemblage of
species living together, having homogeneous formations because they find similar
environmental conditions (Primack, 2002). Each plant species is classified based on
hierarchical system of identification and nomenclature by carefully applying the criteria of
growth structure and physiognomy. The presence or absence of specific plant species has
great importance because abundance of each species shows its significance (Kent & Coker,
1992). The diversity of species is dependent on a variety of biotic (e.g. competition,
symbiosis, predation) as well as abiotic factors, such as rainfall, temperature, fire, soil type
and many more (Tainton & Hardy, 1999). Species diversity of most herbaceous plants
normally increases when woody plants, which present competition for some of these biotic
and abiotic factors, are removed from the area (Dye & Spear, 1982).
The variations in the existing constituents of natural environment, particularly soil, and plants
leads to gradual change in the composition, structure and shape of plant communities. Thus,
analyzing the classification and the inter-relation between various plant communities in
response to environmental variables are necessary (Jafari et al., 2003). The influence of
environmental elements on different plant communities have remained the question of
numerous ecological studies. Jafari et al., (2004) have exposed that distribution of vegetation
in the rangelands of Yazd Province (Iran) was dependent on moisture and soil texture.
20
Youssef et al., (2009a) have reported that vegetation in coastal areas of Saudi Arabia are
mostly determined by geomorphology, climate, and soil conditions. Similarly, Zegeye et al.,
(2006) revealed that the interdependence of vegetation with soil characteristics lead to the
diversity of species, types of vegetation and dispersal of plant communities.
Studies on the arid and semi-arid zones of Pakistan and India have generally remained
phytogeographical and floristical (Athar, 2005). New synecological methods have produce
the techniques for utilize at local and regional level, in order to compile the field data sets by
ordination and classification and then connecting the results to environmental information
(Ter-Braak, 1987). Such types of objective approaches have hardly been applied to the
vegetation data of Pakistan. In Pakistan, the importance of range management as a discipline
was not recognized until 1954 when a development project with the U.S. Government
technical and financial assistance was initiated in Baluchistan province (Rafi, 1965). The
government has now started focusing its attention on the long ignored, Cholistan desert.
Cholistan is the one of hottest desert of Pakistan, which is rich in biodiversity. In past, there
were only few studies to examine the phytosociology of Cholistan Desert. No actual
information was existing about plant communities of Cholistan rangelands though; Dasti and
Agnew (1994) documented six plant communities but they have scanned a small part of
desert. Arshad and Rao (1995) reported different vegetation forms in Cholistan area with
reference to phytogeographic conditions. Rao et al., (1989) examined the flora of Cholistan
and recognized eleven different phytosociological groups. Based on soil characteristic and
topography four basic phytosociological divisions were identified in Cholistan desert viz.,
sandy planes, sand dunes, compact soil areas with gravel and saline areas, each type have
specific set of indigenous plant species (Arshad & Rao, 1995).
In Cholistan desert four divisions of vegetation have been recognized viz. trees, shrubs,
grasses, and forbs and associated the vegetation structure with different physiographic factors
(Baig et al., 1980). Arshad & Akbar (2002) has described several types of landform divisions
and related plant communities in Cholistan desert. Out of sixteen plant communities, ten
were present in smaller Cholistan and remaining six plant communities were recognized in
greater Cholistan (Arshad & Akbar 2002). Akhter and Arshad, (2006) has reported eight
dominant vegetation types in the arid rangelands of Cholistan desert. Some species were
21
associated with distinct habitat types; however, it is tough to describe different community
forms related with different habitats.
It was reported that there exist different types of dominant plant species and soils in
Cholistan desert (Arshad & Akbar, 2002; Arshad et al., 2007). Whereas during investigating
the inner part of Cholistan desert Rao et al., (1989) documented that phytosociological
divisions are representative of different soil types because soil effect the vegetation more
than other factors (Arshad et al., 2008). Baig et al., (1975) categorized the vegetation of
Cholistan desert based on edaphic factors into six plant communities as Prosopis specigera,
Haloxylon recurvum, Eleusine compressa, Dipterygium glaucum, Calligonum polygonoides
and Tribulus terrestris. The solid saline flats named ‘dahars’ were dominated by Suaeda
fruticosa, and Haloxylon recurvum however, Aeluropus lagopoides, Sporobolus ioclados,
Capparis decidua, Ochthochloa compressa, Salsola baryosma, Cymbopogon jwarancusa,
and Prosopis cineraria were found in ‘dahars’ with some sandy soil cover. In same way,
sand dunes were commonly covered by Lasiurus scindicus Calligonum polygonoides, Aerva
javanica, and Panicum turgidum (Chaudhary, 1992; Arshad & Akbar, 2002).
Similarly Hameed et al., (2002) and Arshad et al., (2002) conducted studies to explore the
diversity of plant species in Lal Sohanra national park Pakistan. Qureshi, (2008b) has
assessment the vegetation of Sawan Wari of Nara Desert Pakistan. Correspondingly, other
authors have done phytosociological surveys in different ecological zones of the world e.g.,
Abou Auda, et al., 2009 has evaluated phytosociological attributes in the arid and semi-arid
area of Wadi Gaza, in Palestine. Youssef et al., (2009b) has conducted the vegetation
analysis along Alamain-Wadi El-Natrun Desert Egypt. Atamov (2008) has performed a study
on the floristic, phytosociology, classification, and productivity of the vegetation of Caspian
shores in Azerbaian. Shaltout et al., (2008) has analyzed the vegetation of some desert
rangelands in United Arab Emirates.
2.2.2: MULTIVARIATE ANALYSIS
The application of computer based statistical and multivariate programs assist the ecologists
to ascertain structure in the data set and study the effects of environmental factors on entire
groups of species (Anderson et al., 2006). Statistical packages reduce the complexity of data
by classification and relating the results to abiotic (environmental) components (McCune &
Mefford, 1999). Quantitative community ecology is the most demanding branch of modern
22
environmetrics. Community ecologists sometime need to investigate the effect of numerous
environmental factors on several species at once. Therefore, vegetation ecologists have
engaged several multivariate techniques to study the complex nature of plant communities
with the common objective of summarizing large data sets obtained from community
samples, assisting in the explanation of data and generation of hypotheses about community
structure (Gauch, 1982). Thus, the pattern of distribution and association of different plant
species is explained by using different multivariate techniques. Classifications and
ordinations can provide more comprehensive and detailed representation on the distributions
of vegetation.
Numerous studies have been reported that among the multivariate techniques classification is
one of the most important methods. Classification contributes considerably in elucidating the
complexities in plant communities. Thus, the selection of method to be used depends on the
ecological problem to be solved (Gauch, 1982). Classification aims at the placement of
species or sample units into groups. The members of each group have in common an
assemblage of attributes, which make them to set apart from members of another group.
Stands which are closely alike with one another form one category, which is separated from
other categories that also consist of similar stands (Greig-Smith, 1979). Classification or
putting sample units into (perhaps hierarchical) group is often helpful when one needs to
allocate names, or to plot ecological communities.
Classification of vegetation endeavor to categorize distinct, repeatable classes of
comparatively homogenous vegetation associations or communities about which consistent
statements can be made. There are various contrasting algorithms, which can be used for
classification of samples. Clustering approaches may be classified on the basis whether they
are hierarchical or nonhierarchical, polythetic or monothetic and divisive or agglomerative.
In non-hierarchical technique, samples are partitioned into a number of clusters but specify
no structure inter-relating the clusters. However, hierarchical clustering technique delineates
relationships between the clusters too (Gauch & Whittaker, 1981).
Cluster analysis is a common term, which includes many techniques used to make
classification. The thoughts of classification in ecological studies aim at grouping the
individual species or stands into homogenous clusters based on similarity with one another.
The stands which have similarity with one another form one class, that is separated from
23
other such classes which also consists of similar stands. The features common to a cluster of
similar stands are then abstracted to serve as a description of that group. For practical and
scientific validity, the abstracted features should sufficiently illustrate the individual
members of each category (Digby & Kempton, 1996).
In classification, similar samples are combined in same class, but in ordination, the purpose
is to consider the sample differences rather than similarities, to set out the samples in a linear
or multi dimensional network that expose the associations between the samples and their
environment (Kumar, 1981). However, for practical purpose, it is necessary to consider the
quantity of more prominent species. This means that it provides a useful summary when
complemented by an ordination (Digby & Kempton, 1996). Ordination is a technique used to
sort a group of objects beside a given gradients (Kent & Coker, 1992). The common
objective of ordination in ecological studies is to make a hypothesis concerning the
relationship between the species composition at a site and the basic environmental factors
(Digby & Kempton, 1996).
Ecologists have recognized that environmental factors can control the distribution and
composition of plant species (Jafari et al., 2004). Ordination reviews the patterns of species
and samples along environmental attributes by plotting the data into a single graph that
similar species or samples are close together. In ordination, (correspondence analysis) DCA
ordination (indirect gradient analysis) and CCA ordination (direct gradient analysis)
procedure of multivariate statistical methods are used. DCA analysis of species or stands,
maintains the coherency with the vegetation groups identified by the cluster analysis (CA).
The current technique in ordination methods is the Canonical Correspondence Analysis
(CCA) established by Ter Braak (1986). CCA is the best method of direct ordination by
producing a final product of variability of species data as well as the variability of
environmental data.
Multivariate analysis is the most widely used method that characterizes the composition and
distribution of vegetation. Several studies have been reported from the different areas of
Pakistan about application of multivariate techniques as a useful tool e.g., A study was
carried by Ali & Malik (2010) to evaluate the vegetation communities and their
interrelationship with soil using CCA. Jabeen & Ahmed (2009) exhibited the grouping of
vegetation by edaphic features i.e., soil pH, EC and heavy metals by CCA analysis in Ayub
24
National Park. Enright et al., (2005) has studied the vegetation and environmental
interactions in Kirthar National Park. Wazir et al., (2008) have identified five vegetation
groups by multivariate study of vegetation in Chapursan valley. Shaheen & Shinwari (2012)
reported that Twinspan and DCA showed moisture gradient as main aspect controlling the
vegetation distribution in chitral, hindukush-himalayas. Ali and Kauser (2006) reported the
presence of two main plant communities in the urban flora of Islamabad and soil EC,
moisture, pH, Ca+, heavy metals and Elevation were the key edaphic factors responsible for
vegetation distribution.
Similarly, numerous studies in different zones of the world reported the application of
multivariate techniques e.g., El-ghanim et al., (2010) reported seven vegetation groups with
the application of classification and ordination in hail region of Saudi Arabia. Abd el Ghani
& Fawzy (2006) explored the floristic composition in western desert of Egypt and found four
site groups by classification. Shaltout et al., (2008) reported ten vegetation groups by
classification whereas ordination indicated reasonable segregation among these groups along
axis in desert rangelands of United Arab Emirates. Abd el Ghani & Amer (2003) has
recognized five vegetation groups in coastal desert plains of southern Sinai, Egypt. Whereas
a study was carried out by Tonggui Wu et al., (2011) who documented five vegetation
groups in Hangzhou Bay coastal wetland, China. Subsequently Jeloudar et al., (2010)
investigated the relation of soil with plant species to conclude the operative factors
distributing the vegetation communities in Rineh rangeland Iran.
2.3: BROWSE FORAGE PRODUCTION
Browse species are very important in the feeding of animals especially in dry areas.
According to Baumer (1992), the usages of browses have been reported since the time of
Romans. It was observed that the use of fodder species in Mediterranean arid and semi-arid
regions was started in world wars one and two, afterward it was diversified (Le Houerou,
2000). The increasing demand of forages as animal feed was noticed particularly from harsh
and dry environments; therefore, almost all the research have been reported from arid and
semi-arid rangelands (Von Carlowitz, 1989). Forage species play multiple roles in balancing
the arid and semi-arid grazing systems exploited by man and animals. This role becomes
more significant as the dry season becomes longer (Heneidy, 2002).
25
Biomass usually refers to the mass of organic matter in a unit area. The organic matter may
consist of newly growing herbage on ground, roots, wild animals and mature trees or dead
organic matter (Abule et al., 2007). In vegetation analysis, this is generally done by unit area
measurements that may be square centimeter or square meter. For large area, biomass of
plants is usually measured through multiplication. Measuring the biomass gives the
understandings of forage use by livestock with taking the measurements before and after
grazing or by calculating the measurements in paired plots where one is left as control and
other is grazed. The information of livestock forage utilization is essential to select the
number of animal species that can be permitted to browse in given area (Mengistu, 2006).
Above ground, herbaceous forage is estimated to regulate the available biomass for animals
and to measure the effects of vegetation management and to assess the health of rangelands
(Abule et al., 2007). Estimates of forage production potential of grazing lands are
fundamental in order to apply the most effective grazing practices. Measurements taken
according to spaced period, like seasons, makes the rangeland executives to calculate the
forage amount produced in various seasons and provide information essential in calculating
the stocking density (Mengistu, 2006). Furthermore, from grazing view, forage productivity
is one of the most important components used to evaluate the rangelands. Dry matter of
plants is commonly associated with livestock production whereas other factors are useful to
enumerate the plant population and successional trends and to evaluate the condition of
rangelands (Kassahun, 2006).
The relative biomass of plant species is very important for range managers however; this is a
tough job because it consists of exhausted work to know the weight of various species that
has been clipped together (Mengistu, 2006). Several researches have been conducted to find
out the production of different forages (Hein, 2006; Salis et al., 2006). There are numerous
methods in order to estimate the plant biomass i.e. destructive (clipping), semi-destructive
(visual estimation & double sampling) and nondestructive (height–diameter index)
(Cleemput et al., 2004). However, destructive sampling procedure is most accurate method
and nondestructive method is the basic objective of new researches (Thomson, Mirza &
Afzal, 1998). Formation of algometric equations concerning the volume and aerial biomass
of plants could make the method less damaging (destruction occurred only first time) (Salis
et al., 2006).
26
In grasslands with high biomass turnover, the best technique to calculate aboveground net
primary production (ANPP) is to harvest biomass at the peak growing season. The changes in
this method contain many biomass harvests in the growing season that raise the fieldwork,
drop certain mistakes though increase others (Sala & Austin, 2000). Flombaum & Sala
(2007) perceived that non-destructive and quick process to estimate aboveground plant
biomass is to double the sampled vegetation and aboveground biomass. Regression is the
base for rapid non-destructive and low-cost way of computing the green biomass,
aboveground net primary production (ANPP) and availability of forage.
Forage production of rangelands might be defined in relation to quality and biomass yield of
the dominant species (Peden, 2005). Generally, the quality of forages is determined by the
aspects like amount and type of available nutrients, presence of unpalatable substances,
fibers, and moisture contents that varies with species. In fact, palatable plant species are
found in rangelands that are properly managed, and decrease with mismanagement like
overgrazing (Morris & Kotze, 2006). The growth period in pastures is increased, when the
gap between grazing and cutting is long enough (Humphreys, 1984). The association
between yield and percent digestible nutrients is vital in evaluation that how pasture
management may achieve maximum yield of digestible nutrients as compared to maximizing
dry matter (Roberts, 1987).
The main constraints to the herbage production may be moisture and temperature, which are
the necessary determinants of climatic regions. The secondary constraints upon forage
production are soil and topography, affecting nutrition and growth of plants in different
climatic regions (Roberts, 1987). Similarly, several factors including geography, climate and
plant factors can affects the growth rate of grazing land (Rossiter, 1966). Soils have an effect
on plant growth and dry matter production by influencing texture, structure, depth and
moisture availability (Roberts, 1987). Production of biomass is less in the sand dominated
rangelands than in silt and clay dominated rangeland. The estimation of plant biomass is of
great importance in order to devising the range management policies (O’Farrell et al., 2007).
2.4: RANGE CARRYING CAPACITY
Carrying capacity (CC) is one of the most confusing and common term used in wildlife
management and it represents the several senses and meanings (Wagner et al., 1995).
Caughley & Sinclair (1994) has defined the ecological carrying capacity as the accepted level
27
of a population agreed by resources in a specific environment. It is an equilibrium point;
towards a population tend to move through density dependent effects from lack of food,
cover, space, or other resources (Caughley, 1979). For livestock production, carrying
capacity was referred mostly to the management of arid and semi-arid rangelands in world
and mainly to pastoral systems of Africa where animals are essentially dependent on range
resources (Stoddard et al., 1975).
Range managers have used the idea of CC from the start of this century and rests on the
concept of plant succession that was established in North America. This concept stated that
climax stage of vegetation that is based on climate and soil, potentially exists at a specific
site (Heady, 1975). The acceptability of CC is usually explained by a combination that
satisfies both objectives i.e. condition of vegetation and animal’s production, which are very
important for management. The range model developed on the concept of carrying capacity
in North America assumes that pastoralists of arid and semi-arid regions live on potentially
equilibrium grazing schemes. Overstocking by pastoralists triggered the deterioration of a
system (Bartels et al., 1990). In previous two eras, new concepts has been produced that
opportunistic carrying capacity permit the stocking rate to change over time to use maximum
vegetation without damaging the resources and accept the periodic destocking, in extremely
variable environments (Behnke & Scoones, 1993).
The theory of carrying capacity is based on the assumption that plants and livestock can be in
the state of balance (Bonham, 1989). It is predicted that livestock production is estimated
with the availability of forage and the availability of forage is a function of herbivory and
climate (Hary et al., 1996). The carrying capacity is influenced by several factors such as
rainfall, seasonality, vegetation accessibility and distribution (Smith, 1994). The productivity
parameters of the shrubs are main factors to estimate the potential and carrying capacity for
different grazing intensity. Height, compact circumference, and radius seem to be the most
parameters, which affect the production. Compact circumference has the highest efficiency to
predict productivity (Salah & Din, 1994).
Carrying capacity is calculated from annual productivity of consumable vegetation,
connected with livestock feed requirements. Annual forge production can be estimated by
measuring the standing biomass, using remote sensing, with empirical relationships of
primary productivity to rainfall or from complex relationship between soils, soil water,
28
fertility, and rainfall. These estimations are mostly accurate for available biomass that is the
actual available fraction of vegetation to livestock (Bartels et al., 1993). Number of animals
is generally described in substitution unit, such as tropical livestock units that use different
substitution ratios for various livestock classes. Feed requirements of livestock are
considered based on intake of feed as dry matter (DM) percentage of live weight (De Leeuw
& Tothill, 1990).
The unprotected open grazing areas show decline in carrying capacity. The carrying capacity
of open grazing areas can be increased by providing protection and improving the system of
grazing management (Ahmad et al., 2006). Grazing lands production and nutritious quality
are determined by biotic and abiotic factors comprising of topographic features such as
aspect, slope, and altitude along soil properties, botanical composition, climatic regime, and
range improvement operations (Mutanga et al., 2004). In open rangelands, the quantity and
quality of forages differs considerably with climate change and frequently leads to
inadequacy of nutrition (Ramirez, 1996).
The significance of browses in determining the carrying capacity of Mediterranean pastures
cannot be ignored. However, it is very challenging to describe the factors that explain the
carrying capacity of shrubby vegetation (Walker, 1980). These factors consisted of annual
production of individual species, amount of annual useable browse for dry matter production,
and the effect of grazing on dry matter production (Hardesty & Box, 1988). Consequently,
the available values for the productivity of shrubby rangeland are greatly variable. Le
Houérou (1980) noted 200–1500 kg/ha of consumable feed per year for shrubby range in
North Africa, with 600–1200 kg/ha in humid woodlands. Walker (1980) describes that
seasonal above ground DM production in arid shrub and tree savannah varies between 1000
and 2347 kg/ha in a year.
In Australia and Africa, commercial ranches have used the strategy to manage suitable
stocking rates, and African government has done the destocking interventions by calculating
the intermittent carrying capacity (Scoones, 1992). The desertification control program of
United Nation states that assessing sustainable carrying capacity of rangelands is necessary to
restore environment (Pearce, 1992). Research has proved that in Africa severe drought spells
are main component of long-term dynamics. Various evidences indicate a climate made
changes in Saharan vegetation, however there is no sign to validate that livestock are causal
29
agent. As the area has abandoned because of poor utilization by pastoralists, but it quickly
restore as the rains come back. The explanation of pastoralists as instigators rather than
victims and the concept of livestock driven desertification has made the planners and
organizations to move away from pastoralists for rangelands development (Sandford, 1983).
2.5: PALATABILITY CLASSIFICATION
Palatability can be defined, as the selection or proportional choice by animals among two or
more forages, and is considered as forage quality parameter. Although high nutrient
concentrations, low palatability may lower the forage feeding value (Marten et al., 1987).
Palatability is basically a relish by which animals consume the feed as stirred by sensory
impulses (Heath et al., 1985). Several experiments have been performed to organize the
procedural information of how palatability is determined. However, no reliable detail is
available about the application of such procedure on forages in particular environment
neither its usage as a tool in range management has been determined (Atiq-ur-Rehman,
1995).
Units of lands are comprising of a complex system of different habitats or specific grouping
of plant species in communities e.g. there may be spotted trees with grasses less than one
meter of height in contrast to shrub lands with dense shrubs over three meters height.
Habitats may be delineated into patches, which consist of homogeneous grouping of species.
When the animal enters such a complex environment, it forms a feeding station along its
grazing path, and then it will select the individual plant species and at the last individual
plant part (Stuth, 1993). The most important property of a plant that should govern
herbivores is the nutritional suitability of plant. The main variables, influencing the
suitability, apart from anti nutritional factors are protein contents, mineral composition, and
its water contents (Mc Naughton, 1983).
The palatability of shrubs depends upon a number of interacting factors connected to animals
as well as to its environment (Heneidy, 2002). In various arid and semi arid states of the
world, shrubs have long been accepted as main rangeland resources. Compared to grasses,
fodder shrubs have comparatively higher contents of crude protein and minerals (Ibrahim,
1981). Palatability is the outcome of the factors sensed by grazing animals in searching and
utilizing the feed. It consists of appearance, smell, taste, and texture of food (Ensminger &
Olantine, 1978). Preference involves proportional selection of one plant species among two
30
or more species by grazing animals. Preference frequently changes as abiotic factors (Stuth,
1993).
Palatability might influence the composition and selection of food in most of animals (Baile
& Della fera, 1988). The palatability and digestibility of forage will decide the quantity of
food that the grazing animal will consume and convert into products (Etgen & Reaves, 1978).
The consequences of eating particular plants species can be both immediate and delayed. The
immediate consequences are related with the smell, taste, and texture of the plant. After
sampling the plant, the animal may decide to increase or decrease its consumption based on
its sensory experiences (Malechek & Balph, 1987). Grazing animals try to select the food
that promotes high level of feed intake. Selectivity is the grazing of particular plant species
by excluding the other species. Therefore, when animal selects a certain plant species as
compare to others, it can be considered that it is more palatable than the other that is not
selected (Cooper et al., 1996).
Biochemical compounds and morphological parameters control the probability and severity
of grazing by changing the accessibility of tissue. This may consist of mechanical or
biochemical mechanism. In addition, there may be avoidance mechanism known as escape
mechanism or tolerance mechanism may also recognize as leaf replacement mechanism. The
ability of a plant species to survive from grazing, definitely results from any combination of
these mechanisms. Avoidance mechanism mainly affects the plant palatability to particular
herbivores. Mechanical deterrents like spines and epidermal characteristics directly influence
palatability. Biochemical secondary compounds also contribute to grazing avoidances. The
association of palatable plant species with less palatable species may affect the frequency and
intensity of plant defoliation. Shrub species may form a "hedged" appearance with regular
grazing through the initiation of numerous shoots, which form mechanical barrier protecting
leaves and meristem with in the canopy (Briske, 1993).
2.6: NUTRITIONAL EVALUATION
Rangelands are very significant to the economy of many countries and still afford about 70%
of feed requirements of domestic ruminants and 95% of wild ruminants (Holechek et al.,
1995). The daily nutrient requirement of stock fluctuates in according to the physiological
functions of grazing livestock and therefore growth, gestation, lactation, and fattening play
key roles in determining daily nutrient demands (Cook & Harris, 1977). In contrast, the
31
chemical composition of plants and plant communities in rangelands varies according to
species, soil type, climate, phenology, and abiotic factors (Greene et al., 1987).
The most important objective in range management is animal production that is based on
nutritional composition of accessible forages (Stoddart et al., 1975). Ganskopp and Bohnert
(2003) projected that wildlife or livestock expert must know the nutritive properties of forage
species to maintain reproduction and growth of animals, and assure the reasonable
importance of grazing land. Quality of feed is defined as the sum of nutrients that animals
can attain from a feed in minimum time (Walton, 1983). Vallentine (1990) assumed that
stability of nutrients in animals, whether penfed or grazing is dependent on four essential
factors consisting of animals’ nutrient requirement, composition of feedstuff, quantity of feed
consumed and digestibility of feeding material. Understanding of widespread nutrient ratios
in forages available to livestock will support in attaining their appropriate consumption,
assist to determine nutrient deficiencies and propose supplementation requirements.
The nutritive value of forages is a comprehensive term that is used to include all nutritional
parameters with respect to its overall significance to grazing livestock. Nutritional value
encompasses the thoughts of both the chemical components of feeding matter and capability
for sustaining the physiological functions of livestock (Huston & Pinchak, 1993). Many
analytical methods have been designed but laboratories are using few to evaluate the nutritive
composition. It will assist in the selection of good forage species for propagation in order to
sustain better animal feeding and production (Shenk & Barnes, 1985).
Nutritional evaluation of pastures is mostly related with the provision of protein, minerals,
and energy. Generally, in chemical determination of plant materials; DMD, ME and CP are
mostly measured for the assessment of forage value (Rhodes & Sharrow, 1990; Arzani et al.,
2001, 2004). Walton (1983) confirmed that digestibility is commonly measured because of
the important estimation of forage quality and is closely linked with livestock production.
Digestibility can be associated with energy, dry matter, or to any component of material
accessible in feeds (Van Soest, 1982). Knowledge about vegetation of grazing lands and
livestock grazing responses is vital to understand animal productivity and our skill to handle
both plant and animal resources to optimize the production of grazing areas (Papachristou,
1997).
32
Studies (Bergstrom, 1992; Woolnough & Du Toit, 2001) have revealed that there are
physical (thorns and spines) and chemical (tannins) defenses against grazing animals for
protection of plants, mainly at juvenile stages when plants species must defend themselves
until first reproduction. Browse species (tree & shrubs foliage) are very important in the
provision of forage for ruminants in many zones of the World. Browses are major fodder
constituent in tropical dry regions particularly in dry season when accessible forage is not
enough in quality and quantity to fulfill the requirements of animals (Aganga & Mosase,
2001). Majority of browses have advantage of sustaining their nutritive value and greenness
all over the dry season when grasses become dry and degrade both in quantity and in quality.
Tree foliage’s are usually rich in minerals and protein and are used during dry season as
supplement in poor grazing lands (Kibon & Orskov, 1993).
Several studies have evaluated the nutritive composition of forages in natural rangelands
(Kalmbacher, 1983; Vallentine, 1990; Islam et al., 2003; Nasrullah et al., 2003). Previous
reports have shown that the importance of forages varies with change in season, rainfall, soil,
and age of the plant species, which may affects palatability, and health of grazing livestock
(Wahid, 1990; Liu, 1993; Robles & Boza, 1993; Saleem, 1997; Theunissen, 1995; Ganskopp
& Bohnert, 2001).
2.6.1: PROXIMATE COMPOSITION
Moisture contents are very significant in order to evaluate forages as animal nutrient
requirements are assessed on a dry matter basis (Shenk & Barnes, 1985). Protein is essential
for the production of muscles, milk, hair, and wool and to restore the protein that is lost
during maintenance (Minson, 1990). Likely, ash is estimated to assess the crude value for the
whole of inorganic mineral concentration in feed. Forage consist of variety of nitrogenous
constituents including protein peptides, amides, amino acids, nitrate, ammonia and nucleic
acid, all these components are included in crude protein (Jones & Wilson, 1987). About 20%
of nitrogen generally present in fodder is in the form of non-protein (Shenk & Barnes, 1985).
High level of protein concentration is mostly associated with low dry matter production and
less contents of soluble carbohydrates (Jones & Wilson, 1987). The contents of CP in forage
material decreased by high intensity of light, due to increased forage production and dilution
of obtainable crude protein (Minson, 1990).
33
Holecheck et al., (1998) has described that high crude protein occur at vigorously growing
stage as compared to dormant stage in forages. Sultan et al., (2007) recommended that there
is a requirement of 13.5 and 110.3 m tons of crude protein and total digestible nutrients for
livestock sustainability whereas current feeds are only providing 40% and 75% of crude
protein and total digestible nutrients (Anon., 2006). The insufficiency of nutrients causes the
low productivity and poor nourishment, which prompts animals to epidemics parasitism, and
breeding harms. The inappropriate consumption of rangelands has caused huge changes in
ecosystems (Younas & Yaqoob, 2005).
In tropical dry Africa, crude protein (CP) in fruits and leaves of majority fodder shrubs and
trees have been reported more than 10%, even in dry season when it inclines to decrease. CP
in browses of Sudanian and Sahelian areas of West Africa was observed to be 150 g/kg DM,
with variations from 100 to 206 g/kg DM (Dicko & Sikena, 1992). Estimation of chemical
composition is an insufficient indicator of nutritive importance, since nutrients availability
from forages is variable. The feed nutritional value is not only described by chemical
composition but it also depends upon intake rate and extraction of nutrients during digestion
(Mandal, 1997). A survey of the literature shows only scanty reports about the biochemical
analysis of browse flora of Cholistan deserts is available. Proximate chemical composition of
Suaeda fruticosa (Kali Lani) showed 0.66% carbohydrates, 87.9% moisture, and 6.0% ash
(Rashid et al., 2000). Similarly Iqbal et al., (1981) has also determined the chemical
composition of Haloxvlon recurvum collected from Cholistan desert.
2.6.2: STRUCTURAL COMPOSITION
In plants, fibers generally characterize the cell wall and vascular system. Chemically fibers
mostly comprise of cellulose, hemi cellulose, pectin, lignin, silica, and cutin (Shenk &
Barnes, 1985). The productivity of forages as source of nutrients for grazing animals is a
function of non-structural component and the extent to which cell wall nutrients can be
release through fermentation process (Jones & Wilson, 1987). At early growth stages of'
plants, cell wall's plasticity and elasticity are very important for the organized development
of wall (Labavitch, 1981). The relationships occurring at this time are different from those
occurring during secondary wall development (Selvenderan, 1983).
Lignin is generally produced from a sugar that comes out during photosynthesis. It is very
important constituent of coarse fibers and can play important role in rumen, as compare to its
34
leading function in decreasing the digestibility (Van Soest & Robertson, 1990). In plants
structural integrity, lignin act as a protective cover for cellulose and hemi cellulose from
enzymatic and microbial attacks (Theander & Aman, 1984). The intake of browses is
reduced by lignin and anti-nutritional elements that may be poisonous for grazing animals.
Tannin is also an important anti-nutritional component, which decreases digestibility in
browses. The tannin types (condensed or hydrolysable) and actions in browse species are
different leading to various effects in lowering the digestibility (Ebong, 1995). However
McSweeney et al., (1999) stated that tannin is not a consistent measure in nutritional
evaluation.
Major purposes of lignin is to actually stop the availability of' digestive enzymes (Van Soest,
1973). Stems contain high fraction of lignin as compare to other portions of the plant.
Therefore, stem enlargement will uplift the lignin in whole plant (Chemey et al., 1990). In
order to separate the fiber into numerous fractions, Detergent procedures have been
developed e.g. neutral detergent fibers (cellulose, hemi cellulose, and lignin) and acid
detergent fibers (cellulose and lignin) (Goering & Van Soest, 1970). The neutral detergent
soluble (NDS) covers almost all cell contents like sugars, lipids, proteins and starches and
showing 98% average digestibility. Acid detergent fiber (ADF) is used to analyze the lignin,
cellulose, acid detergent insoluble (ADIN), acid detergent lignin (ADL), and silica but it is
not an authentic way for nutritional purposes (Van Soest & Robertson, 1990).
ADF is mostly found high in stem than in sheath and blade. ADF and NDF are lower in
inflorescence than other morphological plant parts. Stems usually consist of higher
concentration of lignin and cellulose as compare to leaf blade and leaf sheath being in-
between them (Chemey et al., 1990). NDF; cellulose and hemi cellulose from vegetative
stem were easily digested than reproductive stems (Sanderson et al., 1989). Usually, the soil
with low moisture capacity forms the stems with more NDF and lignin (Bohn, 1990). Shrubs
were normally high in ash, CP, EE, N, GE, ADL concentration than grasses. Generally, DM,
NDF, CF, ADF, ADL, carbohydrate, and hemicellulose increased with the maturity in plants.
Some parameters like NFE, GE, DE, and TDN did not differ among various phenological
stages. The nutritional quality in forages is mostly declined by the progression of
phenological stages in various plants (Hussain & Durrani, 2009a).
35
2.6.3: MINERAL COMPOSITION Minerals are compulsory for both animals and plants in significant amount and balance. The
inadequacy of minerals greatly affects the vegetation growth and livestock development.
Mineral analysis is very important because it provides information about the actual amount
of minerals taken up by plants. Its weak point is that it usually provides only qualitative
information while recommendations must be described in quantities per plant. This
quantitative measurement is easily supplied by soil analysis, by using depth of soil sampling
and apparent soil density to change concentrations to weight per hectare (Martin-Prevel et
al., 1987). When a nutrient is lacking in soil or not properly utilized, the efficiency of other
nutrients is reduced and plant nutrition as whole suffers. At high nutrients levels, there is an
inefficient consumption and may be toxicities.
Plants require minerals readily at early stages, but as growth proceeded, dry matter
production become high than minerals take-up and concentration of minerals decrease with
increase in maturity (Jones & Wilson, 1987). Numerous varieties growing in the same soil
rarely had different nutrient contents, but they have the difference in their capacity to take up
individual nutrients. It is very difficult to define standard nutrient concentrations because of
differences due to species, variety, plant growth stage, climate, crop management, and soil
(Sprague, 1979). The growth of distinctive group of plants on uncultivated meadows is
mainly dependent on types of soil and biological competition between different plant
varieties (Georgievskii, 1982). Species with large and deep root system remains in advantage
in competition for nutrient uptake (Humphreys, 1984). Further occurrence and movement of
grazing livestock is very important because the return of excreta maintains the nutrient cycle
and therefore forage mineral levels are maintained (Jones & Wilson, 1987). The details of
some minerals are discussed as follows.
The satisfactory level of Ca in plants is 0.4-0.6% and level above 1.0% is regarded as high
(Georgievskii, 1982). The average Ca contents in temporary lays consist of 0.63% (Blowey,
1990). Ca in leaf portion is twice than in stem and with the increase in maturity there is
decrease in Ca both in stem and leaf parts (Skerman & Riveros, 1990). The concentration of
calcium in forages also depends on the amount of exchangeable Ca in soil and level of
potassium and nitrogen. Ca contents in forages are usually less at the stage of active growth
and high when moisture deficiency and higher temperatures slows down the growth (Minson,
36
1990). The vegetative part of' the plant species consist of more Ca than their reproductive
portions (Georgievskii, 1982).
Phosphorus is usually low in rangelands soil of semi arid and sub humid zones and
resultantly in forage species growing there (Sprague, 1979). The mean phosphorus contents
in forages are 0.29% of DM (Minson, 1990). The concentration of phosphorus becomes high
in plants during wet season. The leaves of shrubs and trees can be poor in P especially in the
areas of sporadic rainfall. Phosphorus contents usually decreases as plant increase in size and
move toward maturity at different rates with different species. Severe drought conditions also
lower P concentration (Humphreys, 1984).
Potassium plays an important role in the activation of many enzymes in plants (Humphreys,
1984). The concentration of K reduces from 3.25% from 3rd Week of age to 2.05% at 8th
week of age (Gohl, 1981). The decrease in soil moisture concentration leads to increase in
nitrogen contents in plant tissues and lower the K concentration (Wadleigh & Richards,
1951). With Ca deficiency in plants, potassium started to seep out from root zone mainly at
lower pH (Kinzel, 1983).
Magnesium deficiencies are present usually more in animals grazing in temperate than
tropical pastures. Mg is found almost in the same percentage in leaf and stem portions
(Skerman & Riveros, 1990). Decrease in Mg concentration was observed in leaves and stem
with the plant maturity (Jones & Wilson, 1987). If there is a deficiency of Mg in the soil, it
will greatly affect the vegetative organs of plants. Mg is very important for heart muscles,
nervous tissue and for the activation of several enzymes. The high level of crude protein in
the diet reduces the absorption of Mg (Georgievskii, 1982).
Copper is a vital element for all living organisms, as an important component of enzymes,
which catalyze oxidative reactions in several metabolic pathways. Copper plays an important
role in protein synthesis (Humphreys, 1984). The vegetative portion of plant consists of more
Cu than the reproductive portion (Georgievskii, 1982). The prominent symptom of Cu
toxicity is a decrease in chlorophyll concentration and causing yellowish coloration over leaf
surface.
Zinc is necessary for plant growth and in body high contents of Zn is present in skin, hair,
horns, and wool. Zn deficiency disturbs the metabolism of protein and voluntary intake
decrease up to 39%. Higher concentration of Ca in feed may reduces the Zn absorption. Zinc
37
is comparatively non-hazardous to ruminants and ruminants show a relatively high tolerance
to Zn (Mills, 1974). The concentration of Zn in fodder varies from 7 ppm to more than 100
ppm of DM with mean value 36 ppm. Zn contents in the pasture are not affected by maturity
of fodder or by climatic change but are increased with the application of fertilizer; zinc and
nitrogen and by decrease in pH of soil (Minson, 1990).
Among the trace elements in the earth's crust Mn is second in abundance. The availability of
Mn is mostly decreased by draining of soil. Poor concentrations of Mn in fodder generally
occur only in neutral or alkaline soils. The concentration of Mn remained constant as the
forage moves towards the maturity. Manganese play an important role as co factor for
various enzymes, with widespread actions including the production of mucopolysaccharides,
required for the organic matter of bones and teeth, usage of glucose and for synthesis of
steroid hormones and gluconeogenesis (Minson, 1990).
a b
PLATE 2.1: AUTHOR DURING CAMPING IN CHOLISTAN RANGELANDS (a, b)
38
MATERIAL AND METHODS_______________ ____ CHAPTER 3
3.1: DESCRIPTION OF STUDY AREA
3.1.1: GEOGRAPHICAL LOCATION This study was conducted in Cholistan desert, which is located in southern part of Punjab
Pakistan. Cholistan desert is a part of Great Indian desert that comprises of Thar desert in
Sindh, Pakistan and Rajastan desert in India. It extends between longitudes 69o 52′ and 75o
24′ E and latitudes 27o 42′ and 29o 45′ N covering an area of about 2.6 million hectares
(FAO, 1993; Arshad et al., 2008). The width of this desert varies from 32 to 192 km while
the length is about 480 km (Chaudhry, 1992). Based on parent material, topography,
vegetation and soil this desert can be divided into two geomorphic parts; the southern part is
called Greater Cholistan that stretches over about 18,130 km2 and northern part is called
Lesser Cholistan that is along canal irrigated areas and covers about 7,770 km2 (Akbar et al.,
1996; Akbar & Arshad, 2000).
3.1.2: HISTORY OF CHOLISTAN DESERT
Cholistan desert of Pakistan was a cradle of civilization commonly known as Hakra valley
civilization around 4000 B.C. It was time when Hakra River flowed through this area. Until
1200 B.C river was a permanent source of water. Around 600 B.C. river changed its flow and
subsequently vanished within a century or so. The Hakra civilization, which prospered here,
was one of the longest in history of world and was earliest civilization in Indian subcontinent.
According to cultural advancement, it can be compared with Mesopotamian, Anatolian,
Egyptian, and Babylonian civilizations. Nothing is assured that how this great Aryan
civilization has ended. Most probably, a range of problems such as change in the direction of
river flow, hostile invading tribes, and decrease in irrigation services have added to the final
disappearance of Hakra valley civilization (FAO, 1993; Akbar et al., 1996).
3.1.3: CLIMATE
Cholistan desert is found in arid subtropical continental monsoonal zone. It is an arid sandy
desert where mean annual rainfall varies from less than 100 mm in west to 200 mm in east,
mostly received in monsoon season (July to September). Rainfall is unpredictable in
39
TABLE 3.1: MEAN MONTHLY METEOROLOGICAL DATA (2001-2010) OF CHOLISTAN RANGELANDS
January February March April May June July August September October November December Annual mean
Mean Monthly Minimum Temperature (⁰C)
6.47 9.70 15.98 21.51 26.72 29.15 29.30 27.85 25.56 19.87 12.41 7.58 19.34
Mean Monthly Maximum Temperature(⁰C)
21.93 25.90 32.83 39.24 43.15 43.14 40.27 38.90 38.66 36.51 30.15 24.40 34.59
Mean Monthly Average Temperature(⁰C)
14.32 17.76 24.40 30.77 34.93 35.86 34.80 33.37 31.80 28.23 21.19 15.99 26.95
Mean Monthly Rainfall (mm)
7.50 12.50 5.20 2.00 13.20 17.20 44.60 70.00 14.60 0.20 - 3.70 17.34
Mean Monthly Relative Humidity (%)
48.92 42.27 38.09 28.86 25.92 28.67 48.80 52.85 48.28 40.54 42.84 45.95 40.99
Mean Monthly Evaporation (mm)
71.70 92.00 191.80 276.40 362.60 490.00 431.20 336.00 292.90 253.00 167.00 110.70 256.28
Mean Monthly Wind Speed (KPH)
4.90 6.09 7.36 8.34 10.94 13.02 12.24 11.17 9.25 6.01 4.70 4.40 8.20
Source: Pakistan Council of Research in Water Resources (PCRWR)
40
duration and quantity, and mostly occurs in heavy showers. Prolonged drought spells are
common after each 10 years (FAO, 1993; Akbar et al., 1996). Rainwater is collected in
locally made water pools called 'tobas'. Tobas are built in clayey flat areas called dahars with
a vast catchment to lower the loss of water percolation and runoff. There are some factors
like less rainfall, high water infiltration into sands, and more evaporation rate stop the natural
accumulation of surface water. Underground water is at depth of 30-50 m that with some
exceptions is brackish containing salts 9,000-24,000 mgLP
-1P. Cholistan is one of the hottest
deserts in Pakistan. Temperature is high in summer and mild in winter without frost. The
mean summer temperature (May-July) is 34-38 P
oPC with the highest reaching over 51.6 P
oPC
(Arshad et al., 2003; Akhter & Arshad, 2006).
3.1.4: SOIL
The soil of Cholistan desert is mostly alkaline, saline, and gypsiferous composed of schists,
gneiss, granites, and slates. Sand dunes are common in Cholistan and reach an average height
of about 30 m in Lesser Cholistan and about 100 m in Greater Cholistan (Akbar et al., 1996;
Akbar & Arshad, 2000). Lesser Cholistan contains large alluvial saline flats (locally called
dahars) alternating with low sandy ridges. The clayey flat areas in Lesser Cholistan are
usually homogenous to a depth from 30 to 90 cm. These soils are classified as either saline or
saline sodic, with pH ranging from 8.2 to 8.4 and from 8.8 to 9.6, respectively (Arshad et al.,
2008).
3.1.5: VEGETATION
Phytogeographically, the vegetation of Cholistan desert belongs to Nubo-Sindhian Province
of Sudanian Region and is typical of arid regions (Akbar et al., 1996). The vegetation of this
desert consists of xerophytes, adjusted to low moisture, extremely high temperature, and
more salinity with wide variation of edaphic factors. The scarce vegetation of Cholistan
commonly comprises perennial shrubs with dispersed small trees. Several ephemeral and
annual species emerge after rains, complete life cycle in short duration and dry up after
producing seeds. Mostly trees and shrubs are leafless or have short leaf like structures. Many
species have surprising capacity to reproduce even with minimum rainfall. The seeds are also
solid enough to survive in high temperature and aridity conditions. Lesser Cholistan is
dominated by numerous species of shrubs and perennial grasses scattered by few species of
small trees. Conversely, in Greater Cholistan, trees are mostly absent, shrubs are spars, and
41
species diversity is low. Generally, vegetation is less on sand dunes and unstable sand dunes
are deficient of vegetation. However, certain interdunal sites are good in vegetation,
depending on soil water holding capacity (Akhter & Arshad, 2006; Arshad et al., 2008).
3.1.6: SOCIOECONOMIC ASPECT
The total human population in Cholistan desert is around 110,000 nomadic pastoralists. Most
of them live on the periphery of desert whereas interior of desert is sparsely populated. The
economy of this area is mainly pastoral and people have been living as nomadic life style
from centuries. The pastoralists have smaller to large herds of cattle, camels, sheep, and
goats. The inner of desert is devoid of modern communication systems and camels or jeeps
are used for traveling in sandy tracks (Akbar et al., 1996; Arshad et al., 1999). The
pastoralism in Cholistan is described by mass movement of people and animals through the
year for searching of food and water. The movement pattern of nomadic herders is mostly
dictated by the start and distribution of monsoon rains (Akhter & Arshad, 2006).
Approximately, in the months of March or April, nomadic households, and their herds started
to move nearby irrigated areas due to shortage water and feed resources in the interior of
desert. In irrigated agriculture fields, the nomadic peoples found free grazing, drinking water
and markets for livestock and their by-products. In return, farmers get adequate labour for
farming operations, crop harvesting, and animal manure to improve soil fertility by camping
of livestock on bare fields (Akbar et al., 1996). These pastoralist returns to desert around July
or August with the start of monsoon rains. In desert, natural vegetation is an ultimate source
of feed and tobas serve as source of water for both nomadic peoples and their livestock
(Arshad et al., 1999). These nomadic peoples live below poverty line due to lack of basic
human needs like clean water, food, education and medical facilities for their children. The
economy of pastoralists generally depends on insufficient natural resources that ultimately
depend on unpredictable rains (Akhtar & Arshad, 2006).
42
a b
c d
PLATE 3.1: NOMADIC LIFE STYLE IN CHOLISTAN RANGELANDS (a, b, c, d)
43
3.2: DATA COLLECTION METHODS 3.2.1: RECONNAISSANCE SURVEY AND STUDY SITES
A reconnaissance survey was conducted in January 2009, in order to have an impression of
site conditions, to collect information about accessibility, to do an overview of plant
assemblages and to determine the sampling and data collection methods. According to
schedule, whole research project was carried for two consecutive years i.e. 2009 and 2010.
After going through the topographic map of area followed by frequent visits during initial
stages of study, research area was divided into 20 stands to cover the variations of
physiognomy and physiography. Homogeneity of stands was noted according to
physiographic and edaphic features. These stands were almost located over transition zone
between lower Cholistan and greater Cholistan on the bed of old Hakra River.
FIGURE 3.1: MAP OF STUDY AREA; THE CHOLISTAN DESERT
MAP OF CHOLISTAN DESERT
: REPRESENTING THE SAMPLING STANDS
44
3.2.2: FLORISTIC ANALYSIS OF BROWSES
3.2.2.1: COLLECTION OF PLANTS Floristic surveys were conducted in different seasons to collect and identify the browse
species of Cholistan Desert. Complete specimens of each species were collected in triplicate,
dried, preserved, and mounted on herbarium sheets by conventional method. The plants were
identified with the help of Flora of Pakistan and available literature (Ali & Nasir, 1990-1991;
Ali & Qaiser, 1993-2007; Arsahd & Rao, 1994; Qureshi, 2004). The determined specimens
were checked and confirmed from National Agricultural Research Council (NARC) Pakistan
and Cholistan Institute of Desert Studies (CIDS) Islamia University Bahawalpur. The
voucher specimens were deposited in the Herbarium of Cholistan Institute of Desert Studies
(CIDS).
3.2.2.2: FLORISTIC COMPOSITION
A complete floristic list along with families, genera, and vernacular names was compiled
about browse species that came under vegetation sampling or observed at any range site. The
native peoples were interviewed to get local names of plant species. Information and
observations about the growing season (monsoon, spring, winter, and whole year), habit
(climber, herb, subshrub, shrub, and tree), and abundance (v. common, common, rare) were
recorded on spot during plant collection and vegetation analysis. Life form was determined
by Raunkiaer (1934) approach.
3.2.2.3: PHENOLOGICAL PATTERNS
The information about phenological events of browses was noted at periodic intervals
(fortnightly/monthly) during study period for two full calendar years from January 2009 to
December 2010. The phenological behaviour of plant species was determined according to
method of Opler et al., (1980). The phenological activity of each species was determined as
the sum of species with different phenological stages every month. For each plant, four
phenological events were recorded. These were; Seedling stage (vegetatively young and pre-
flowering); Flowering stage (only flowers seen); Fruiting stage (mature where both flowering
and fruiting can be seen); Dormant stage (life cycle completed or fruiting completed. A
starting date of particular event was assigned when two or more individuals of a species were
found to be in it. Likewise, the final date was assigned when only two or fewer species
remained in the phase.
45
3.2.2.4: ECONOMIC USE CLASSIFICATION
Plants were classified based on known local economic uses in order to know their
ethnobotanical importance. These economic uses of browse species were as forage,
medicinal, timber and fuel wood uses. Information about economic and beneficial value of
plant species was gathered by direct observation in field and from nomads and local
inhabitants during field visits in the study area.
3.2.2.5: STATISTICAL ANALYSIS
Microsoft Excel spreadsheet analysis (MS OFICE, 2010) was conducted to determine simple
averages, percentiles and mean values and to make needful tables and graphs (McCullough &
Heiser, 2008).
3.2.3: PHYTOSOCIOLOGICAL ANALYSIS
3.2.3.1: ANALYTIC PHASE (BOTANICAL SURVEY)
This phase concerned with acquisition of all relative vegetation data, present in the stands.
During surveys, stands were sampled in areas where the botanical composition was
homogenous and were representative of specific area that needed to be surveyed.
Phytosociological parameters consisting of frequency, density and plant cover are considered
necessary for complete analysis of vegetation. Data was collected after monsoon season from
September to November 2009. In order to calculate the quantitative vegetation parameters,
Line Transect and Quadrate methods were used (Mueller-Dumbois & Ellenberg, 1974; Chul
& Moody, 1983; Hussain, 1989). The importance Value (IV) for each species was calculated
by direct summation of relative density, relative frequency, and relative cover. Based on
importance value, sampled vegetation was delineated into different plant communities (Chul
& Moody, 1983). At each stand five transect, each of 100 meter in length with quadrates of
1x1 meter square were used to sample the vegetation. Data collection layout is shown in the
figure 3.2.
3.2.3.2: SYNTHETIC PHASE (DATA ANALYSIS)
The synthetic phase follows the classification of data to obtain groupings of communities
based on floristic and structural similarities. The arrangement of surveyed data and
mathematical classification was obtained by using the multivariate statistical program MVSP
Ver. 3.2 (Kovach, 1985-2002). The aim of this process was to identify and classify various
vegetation units present in the study area. Many studies have pointed out that among the
46
multivariate approaches; ordination and classification are two main methods. The choice of
method to be used depends on the ecological question to be answered (Gauch, 1982).
Classification by means of cluster analysis is most common multivariate technique to analyze
community data (Kershaw, 1973). The vegetation classification was made using IVI based
data and name of communities were given after two or three dominant species with higher
synoptic values. The ordination techniques (DCA, CCA) were also applied to dataset in order
to provide evidence for possible gradients in and between communities and to detect habitat
gradients that may be associated with vegetation analyses, and to identify environment plant
interactions. Finally, results were presented using tables, charts, and graphs. 3.2.3.3: COORDINATES
The specific stand position was determined by a GPS (Global Positioning System) named
Garmin eTrex. The geographic coordinate's latitude, longitude, and altitude were taken from
the center of each stand.
FIGURE 3.2: LAYOUT OF DATA COLLECTION METHOD (05 transect of each 100 m length with quadrat of 1x1 mP
2 Pon 10 m interval)
100
m
m 100
1x1 m2
47
3.2.4: SOIL ANALYSIS
3.2.4.1: SOIL SAMPLING
Soil sample of 1 kg was collected along each transect from the depth of 0-30 cm. Five soil
samples are collected from each stand. These samples were pooled together to form one
composite sample, air-dried, thoroughly mixed, and passed through 2 mm sieve to liberate it
from gravel and boulders. The collected samples were stored in polythene bags and labeled
for physical and chemical analysis in soil laboratory (Jackson, 1967; Allen & Stainer, 1974).
Soil analysis was done according to the methods of Hand Book No. 60 (U.S. Salinity Lab.
Staff, 1954) unless otherwise mentioned. Brief descriptions of analytical methods are as
follows.
3.2.4.2: PREPARATION OF SATURATED SOIL PASTE
Saturated soil paste was prepared by taking soil (250 g) in plastic beaker and slowly adding
distilled water and mixing with a spatula until the paste glistened and slid off the spatula with
lacking of free water on paste surface (Richards, 1954). Extract of saturated soil paste was
obtained with pressure by the help of filter press. Solution of Sodium hexametaphosphate
(1%) was added at the rate of one drop per 25 mL extract to stop precipitation of salts during
storage.
3.2.4.3: SATURATION PERCENTAGE (SP)
A small part of saturated soil paste was taken in a tared china dish. It was weighed then dried
to constant weight at 105°C and was weighed again. Saturation percentage was calculated by
using (Method 27a) given formula.
Saturation percentage = UMass of wet soil-Mass of oven dry soil Ux 100 Mass of oven dry soil 3.2.4.4: SOIL pH AND ELECTRICAL CONDUCTIVITY (ECReR)
The soil pH was noted by using saturated soil paste as prepared before in 3.2.4.2 and
stabilized over night (Kent Eil 7015) (Method 21a).
Electrical conductivity was determined with digital Jenway conductivity meter model 4510
(Method 3a and 4b).
3.2.4.5: ORGANIC MATTER AND SOIL MOISTURE
Soil (1g) sample was mixed thoroughly with 10 mL 1N potassium dichromate solution and
20 mL concentrated sulphuric acid. Then 150 mL of distilled water and 25 mL of 0.5 N
48
ferrous sulphate solution were added and the excess was titrated with 0.1 N potassium
permanganate solution to pink end point (Moodie et al., 1959).
In soil samples, moisture contents were measured with the help of ScalTec Moisture analyzer
with 110 ºC.
3.2.4.6: AVAILABLE PHOSPHORUS, SODIUM AND POTASSIUM
Phosphorus was determined by taking 2.50 g soil and adding 0.50 M NaHCOR3R solution
adjusted to pH 8.5 (with the help of 50 % w/w NaOH) according the methods of Page et al.,
(1982).
Flame photometer (Jenway PFP7) was used to estimate the Sodium and Potassium (Rhoades,
1982).
3.2.5: BROWSE FORAGE PRODUCTION
Biomass is a commonly measured vegetation attribute that refers to the weight of plant
material within a particular area. Only plants that are available and palatable to grazing
animals are classified as forage (Pieper, 1988; SRM, 1989). Data was collected in wet
(August) and dry season (April) both. Biomass was calculated by Direct Harvest method
(Moore & Chapman, 1986) using 100-meter line transect with 1x1 meter square quadrate. At
each stand five transect were laid out and quadrate were placed systematically at 10-meter
interval on each transect (Figure 4.2). Clipping was done at grazed-height, because it gives
more pertinent measure of forage biomass. The harvested material was packed and labeled in
paper bags immediately and weighed in the field to get fresh weight and then oven dried at
65 P
oPC for 72 hours in laboratory and re weighed. The dry weight of all the quadrates was then
combined and averaged to get the total dry matter production (kg/ha), at each stand (Hussain,
1989; Bonham, 1989). Grazing status was estimated by direct observation at each stand and
categorizes them as overgrazed, moderately grazed, slightly grazed and no grazing.
3.2.6: RANGE CARRYING CAPACITY
Carrying capacity is an important management tool that connects forage supply with forage
consumption. Carrying capacity was estimated based on 40% allowable grazing material.
The one animal unit (AU) was taken as, a cow having 350 kg weight, demanding 7 kg dry
matter forage per day, 2555 kg/year (Bonham, 1989).
Carrying capacity (ha/AU/Year) = UAnimal forage requirement kg /yearU Forage production kg /ha
49
3.2.7: DEGREE OF PALATABILITY
Classification of browse species based on palatability, parts used and animal's preferences
was recorded by direct observing the grazing livestock (cattle, sheep, goats & camel) in field
for two consecutive years from 2009-2010. These field observations were further confirmed
from knowledge gathered from graziers and nomadic peoples at different range sites of
Cholistan desert.
In order to calculate the degree of palatability, following palatability classes were used.
i) Highly palatable ii) Moderately palatable iii) Less palatable iv) Non-palatable
The palatable species were classified into four categories based on parts used by livestock.
i) Leave grazed ii) Shoot grazed iii) Flower grazed and iv) Fruit grazed
The livestock mostly differ in their selection of browsing species at different range sites. In
present case, browsing species were classified whether grazed by cattle, sheep, goat, or
camel.
3.2.8: NUTRITIONAL EVALUATION OF BROWSES 3.2.8.1: PROCUREMENT OF SAMPLES
The samples of selected browse species were collected in spring seasons (February) 2010
from the different range sites of Cholistan desert. The collected browse samples were mostly
consisting of mixture of leaves, twigs, and inflorescence. The samples were air dried under
shade then pooled for ground using Willey mill with 2 mm sieve for laboratory analysis.
Ground samples were stored in plastic whirl-pack sample bags until put to use for further
analysis. All the chemical analyses were done in triplicate.
3.2.8.2: PROXIMATE ANALYSIS
The collected browse samples were subjected to proximate analysis for dry matter (DM),
crude protein (CP), crude fibre (CF), ether extract (EE) and total ash according to official
methods of Association of Official Analytical Chemists (AOAC, 2005). Nitrogen-free extract
was determined on dry matter basis as; %NFE = 100 – (%crude protein + %crude fiber +
%ether extract + %Ash).
3.2.8.3: FIBER FRACTIONS
The fiber fractions, neutral detergent fiber (NDF), acid detergent fiber (ADF), and lignin
were estimated by the methods followed by (Van Soest et al., 1991). Hemicellulose was
determined by difference of NDF and ADF.
50
3.2.8.4: MINERAL PROFILE
In order to determine the mineral profile the labeled ground samples were subjected to wet
digestion (nitric acid and perchloric acid). Following the wet digestion the Phosphorus (P)
was determined by spectrophotometer (U 1100, Hitachi), whereas the concentration of
sodium (Na) and potassium (K) was determined with flame photometer (Jenway PFP7).
Subsequently, concentration of Calcium (Ca), Magnesium (Mg), Manganese (Mn), Copper
(Cu), Zinc (Zn) and ferrous (Fe) were calculated by Atomic absorption spectrometer (Hitachi
Polarized Zeeman, Z-8200).
3.2.8.5: STATISTICAL ANALYSIS
The data collected regarding proximate composition, fiber fractions, and mineral contents
was analyzed for variance analysis (ANOVA) in completely randomized design. Significance
between means was tested using the least significance difference (LSD) (Steel et al., 1997).
Significance was accepted at 5% level of probability. All the statistical procedures were
performed using Statistical Analysis System Computer Package (SAS, 2000).
a b
PLATE 3.2: RAIN WATER HARVESTING PONDS IN CHOLISTAN RANGELANDS (a, b)
51
URESULTS _ ________________________ CHAPTER 4
4.1: FLORISTIC INVENTORY OF BROWSES
4.1.1: FLORISTIC COMPOSITION
In this baseline study, total 25 browse species belonging to 17 genera and 12 families were
identified and documented from the arid rangelands of Cholistan desert. Family importance
index showed that Chenopodiaceae and Mimosaceae were most dominant families with 4
species each (16%) followed by Rhamnaceae with 3 species (12%), Amaranthaceae,
Asclepiadaceae, Capparaceae, Papilionaceae, Tamaricaceae, with 2 species each (08%) and
Compositae, Malvaceae, Polygonaceae, Salvadoraceae with 01 species each (04%)
respectively (Table 4.1). For the ease of identification, local name of species were also noted
from the study area as given in the table 4.2. The recorded browse species were composed of
07 species of trees (28%) and 18 species of shrubs (72%). According to life span and
Raunkiaerian life form, all the identified species were found as perennials and phanerophytes
respectively. Abundance of browse species showed that out of total species, 10 species (40%)
were considered as very common, 08 species (32%) were common, and 07 species (28%)
were rare in Cholistan rangelands (Annexure 8.1). TABLE 4.1: FAMILY IMPORTANCE INDEX OF BROWSE SPECIES
Sr. No. Family No. of Genera No. of Species Percentage
1 Amaranthaceae 1 2 8
2 Asclepiadaceae 2 2 8
3 Capparaceae 1 2 8
4 Chenopodiaceae 3 4 16
5 Compositae 1 1 4
6 Malvaceae 1 1 4
7 Mimosaceae 2 4 16
8 Papilionaceae 2 2 8
9 Polygonaceae 1 1 4
10 Rhamnaceae 1 3 12
11 Salvadoraceae 1 1 4
12 Tamaricaceae 1 2 8
Total 17 25 100
52
TABLE 4.2: BROWSE SPECIES WITH FAMILY, BOTANICAL, AND VERNACULAR NAMES
Sr. No. Family Botanical Name Vernacular Name
1 Amaranthaceae Aerva javanica (Burm. f.) Merill. Bui
2 Amaranthaceae Aerva pseudotomentosa ssp. bovei. Clarke. Bui
3 Asclepiadaceae Calotropis procera (Aiton.) Aiton. Ak
4 Asclepiadaceae Leptadenia pyrotecnica (Forssakal.) Decne. Khip
5 Capparaceae Capparis decidua (Forsskal.) Edgew. Karir
6 Capparaceae Capparis spinosa Linn. Kubber
7 Chenopodiaceae Haloxylon recurvum Bunge. ex. Boiss. Khar, Sajji
8 Chenopodiaceae Haloxylon salicornicum (Moq.) Bunge. Lana
9 Chenopodiaceae Salsola baryosma (Roem. et. Scult.) Dany. Lani
10 Chenopodiaceae Suaeda fruticosa (Linn.) Farsskal. Kali Lani
11 Compositae Pulicaria rajputanae Blatt. & Hall. Bui
12 Malvaceae Abutilon muticum (Del. ex. DC.) Sweet. Gidarwar, Akari
13 Mimosaceae Acacia jacquemontii Benth. Banwali
14 Mimosaceae Acacia nilotica (Linn.) Del Kiker, Babul
15 Mimosaceae Prosopis cineraria (Linn.) Druce. Jand, Kanda
16 Mimosaceae Prosopis juliflora DC. Mesquite, Vilate Kiker
17 Papilionaceae Crotalaria burhia Ham. Ex. Bth. Chag
18 Papilionaceae Tephrosia uniflora Pers. Jill
19 Polygonaceae Calligonum polygonoides Linn. Phog
20 Rhamnaceae Zizyphus mauritiana Lam. Beri
21 Rhamnaceae Zizyphus nummularia (Burm. f.) Wifht & Arn. Mallah
22 Rhamnaceae Zizyphus spina christi ( Linn.) Wild. Beri
23 Salvadoraceae Salvadora oleoides Decne. Pelu
24 Tamaricaceae Tamarix aphylla (Linn.) Karst. Frash, Ukan
25 Tamaricaceae Tamarix dioica Roxb. Ukan
53
4.1.2: PHENOLOGICAL PATTERNS
There was a great diversity in phenological behaviour of browse species in Cholistan
rangelands. Overall, two phenological seasons were recorded from the investigated area. The
first season was from February to April and the second was from September to November.
May to August and December to January were almost dormant seasons. Out of total species,
12 species (48%) were observed in first season (Feb-Apr), in which 04 species were trees and
08 species were shrubs. In the second season, (Sep-Nov) 16 species (64%) were noted which
consisted of 04 species of trees, 12 species of shrubs. Whereas 06 (24%) species were
observed in both phenological seasons, which consist of 02 species of trees, 04 species of
shrubs. There was also some species, which showed a great variation in their phenological
stages as compared to others. It included 03 species (12%) in which 01 species was of tree
and 02 species were of shrubs (Figure 4.1).
The peak seasonal periods in which maximum species were observed in seedling form was
September with 23 species followed by February with 12 species. Whereas maximum browse
species were observed at flowering in October (12 species) followed by March (11 species).
The peak time for fruiting was April and November with 12 species each. The last
phenological stage was dormant season and maximum browse species were observed to
become dormant in May (11 species) and December (12 species). Generally, the dormant
season was observed from May to August and December to January, but the activity of some
species was also noted in these periods (Annexure 8.2). FIGURE 4.1: PHENOLOGICAL PATTERNS OF BROWSE SPECIES
Feb-Apr Sep-Nov Both season OthersTrees 4 4 2 1Shrubs 8 12 4 2Total 12 16 6 3
02468
1012141618
No.
of s
peci
es
54
4.1.3: ECONOMIC USE CLASSIFICATION Out of total identified browse species in Cholistan rangelands, 24 species were found to be
useable while for remaining 01 species, no current use was discovered (Annexure 8.3). These
useable species were divided into four categories (Firewood, Timber wood, Forage/Fodder &
Medicinal) which have total 67 different uses. Based on total uses there were 19 species that
were being used as firewood, 07 species were as timber wood, 22 species were as
forage/fodder and 19 species were as medicine as given in the table 4.3. TABLE 4.3: ECONOMIC USE CLASSIFICATION OF BROWSE SPECIES
Sr. No. Economic Use Classification No. of Species Percentage
1 Fire wood 19 28.36
2 Timber wood 07 10.45
3 Forage/Fodder 22 32.83
4 Medicinal 19 28.36
Total 67 100
4.2: PHYTOSOCIOLOGICAL STUDY OF BROWSES
4.2.1: COMMUNITY STRUCTURE
Based on Importance value index of each plant species, 20 types of browse communities
were identified on different landforms in Cholistan rangelands. The structure of these
communities is being described along with their habitat and edaphic features (Table 4.4 &
4.5).
1. Haloxylon-Calligonum-Leptadenia community (HCL)
At stand one Haloxylon salicornicum (IV=67.09), Calligonum polygonoides (IV=40.55) and
Leptadenia pyrotechnica, (IV=15.43) browse community was present. It was a sandunal
habitat consisting of 3-5 m high sandunes. Total 12 species were recorded in this stand, out
of which 03 species were shrubs, 05 species were herb and 04 species were grasses. The total
importance value contributed by shrubs was 123.07, by herbs 82.28 and by grasses 94.65,
while importance value contributed by three dominant browse species was 123.07. Based on
soil analysis, texture of this community was sandy with soil moisture 0.48% and organic
matter 0.26%. While other features of soil were as pH 7.89, EC 2.08, Na 22.07 ppm, K 30.12
ppm, P 4.2 ppm.
55
2. Haloxylon-Suaeda-Pulicaria community (HSP)
Haloxylon recurvum (IV=79.41) Suaeda fruticosa (IV=65.54) and Pulicaria rajputanae
(IV=29.10) community was present at stand two. It was flat clayey saline area. This
community was composed of total 11 species in which, 01 species was of tree, 03 species of
shrubs, 05 species of herb, and 02 species of grasses. In this stand, contribution towards total
importance value was 3.85 by trees, 174.05 by shrubs, 45.57 by herbs, and 76.53 by grasses.
The importance value contributed by three dominant browse species was 174.05. Soil texture
of this habitat was clayey and concentration of soil moisture and organic matter was 0.92%
and 0.21% respectively. Other constituents of soil in this community were as pH 8.45, EC
10.43, Na 76.43 ppm, K 25.43 ppm, P 2.12 ppm.
3. Leptadenia-Aerva-Crotalaria community (LAC)
At stand three Leptadenia pyrotechnica (IV=74.71) Aerva javanica (IV=54.53) and
Crotalaria burhia (IV=40.51) community was existed. It was interdunal sandy area. This
community was composed of 01 species of tree, 06 species of shrubs, 03 species of herbs,
and 04 species of grasses. The importance value of three dominant browse species (LAC)
was 169.75 and overall contribution to total importance value by trees was 5.04, by shrubs
216.18, by herbs, 5.79 and by grasses 72.99. Physio-chemical analysis of soil showed that
texture of this community was sandy loam, consisting of 0.71% soil moisture and 0.85%
organic matter. Whereas, contents of pH were 8.25, EC were 2.68 and Na, K, and P were as
29.17 ppm, 70.22 ppm and 5.21 ppm respectively.
4. Crotalaria-Leptadenia-Haloxylon community (CLH)
Crotalaria burhia (IV=60.31), Leptadenia pyrotechnica (IV=49.09) and Haloxylon
salicornicum (IV=38.21) community was situated at stand four. Overall 16 plant species
were recorded, out of which 02 were trees, 06 were shrubs, 03 were herbs and 05 were
grasses. This community was located on interdunal sandy area. In this stand, importance
value added by three dominant (CLH) browse species was 147.61; overall, importance value
contributed by trees was 03.18, shrubs 195.24, herbs 6.4 and grasses 95.18. Soil texture of
this community was sandy loam with pH 08.14 and EC 04.41. The concentration of Na, K,
and P in this community was 36.25 ppm, 41.64 ppm, and 04.32 ppm respectively. While, the
concentration of soil moisture was 0.54% and organic matter was 0.49%.
56
5: Calligonum-Haloxylon-Crotalaria community (CHC)
At stand five Calligonum polygonoides (IV=100.06), Haloxylon salicornicum (IV=52.91)
and Crotalaria burhia (IV= 14.12) community was dominant. It was generally sandunal area.
This community was consisting of 15 plant species, which included 01 tree, 04 shrubs, 06
herbs, and 04 grasses. In this stand, total importance value contributed by trees 01.02, shrubs
169.76, herbs 53.91 and grasses 75.31. The contribution of importance value of three
dominant browse species (CHC) was 167.09. Based on soil analysis texture of this
community was sandy with pH 08.11 and EC 01.97. The contents of Na, K, P, were 15.76
ppm, 27.98 ppm, and 4.12 ppm, respectively whereas organic matter and soil moisture were
0.38% and 0.32%.
6. Suaeda-Haloxylon-Salsola community (SHS)
Stand six was located on clayey saline area. Suaeda fruticosa (IV=80.41), Haloxylon
recurvum (IV =59.54) and Salsola baryosma (IV= 20.43) community was composed of total
14 plant species in which 01 was tree, 07 were shrubs, 03 were herbs and 03 were grasses.
The contribution to total importance value by trees was 01.32, by shrubs 187.91, by herbs
19.64 and by grasses 91.13. Overall, the contribution of importance value by three dominant
browse species (SHS) was 160.38. Physio-chemical analysis of soil showed that this
community was located on clayey texture with pH 8.37 and EC 12.13. The concentration of
Na was 90.18, K was 21.95, and P was 1.98, while soil moisture and organic matter were as
0.76% and 0.19% respectively.
7. Haloxylon-Calligonum-Aerva community (HCA)
In stand seven, Haloxylon salicornicum (IV=72.35), Calligonum polygonoides (IV=46.08)
and Aerva javanica (IV=15.54) community was dominating. This area was covered by
sandunes. This community was comprised of 05 species of shrubs, 05 species of herbs and 04
species of grasses. The contribution to total importance value by shrubs was 145.02, by herbs
63.08 and by grasses 91.90. However, importance value of three dominant browse species
was 133.97. Soil texture of this stand was sandy with pH 08.08 and EC 01.33. The
concentration of Na was 18.35, K was 32.76, and P was 3.87, whereas, concentration of soil
moisture and organic matter was 0.35% and 0.27% respectively.
57
8. Crotalaria-Aerva-Haloxylon community (CAH)
Crotalaria burhia (IV=38.31) Aerva javanica (IV=37.22) and Haloxylon salicornicum
(IV=32.16) community was present at stand eight. It was mainly interdunal sandy area. Total
17 plant species were recorded in sampling, out of which 02 were trees, 04 were shrubs, 05
were herbs and 06 were grasses. Importance value of three dominant browse species was
107.69. Overall, contribution to total importance value by trees was 8.62, by shrubs 122.79,
by herbs 76.87, and by grasses 91.72. In this community, texture of soil was sandy loam with
pH 8.28 and EC 2.34. The concentration of Na was 28.32, K was 62.43, and P was 7.68,
while the soil moisture and organic matter was 0.65% and 0.66% respectively.
9. Calligonum-Haloxylon-Aerva community (CHA)
At stand nine, Calligonum polygonoides (IV=74.43) Haloxylon salicornicum (IV=55.32),
and Aerva javanica (IV=13.32) community was dominant. It was sandunal area. In this
community, total 12 plant species were recorded in which 04 species were shrubs, 06 were
herbs and 02 were grasses. Importance value of three dominant plant species was 143.07
while contribution to total importance value by shrubs was 148.71, by herbs 106.9 and by
grasses 44.39. Soil texture of this community showed that it was sandy soil with pH 7.91 and
EC 1.45. The contents of soil Na, K, P, were 17.45, 26.53, and 04.08 respectively, while soil
moisture was 0.34% and organic matter was 0.29% respectively.
10. Aerva-Crotalaria-Calligonum community (ACC)
Aerva javanica (IV=51.29) Crotalaria burhia (IV=33.97) and Calligonum polygonoides
(IV= 26.65) community was located on interdunal sandy area. In this stand, total 17 plant
species were recorded in which 05 were shrubs, 08 were herbs and 04 were grasses. The total
importance value added by three dominant browse species was 111.91, while importance
value contributed by shrubs was 156.25, by herbs 56.86 and by grasses 86.89. Texture of soil
was sandy loam with pH 8.31 and EC 4.21. The values of Na, K, P, was 35.12, 65.28, and
6.54 respectively, while soil moisture was 0.72% and organic matter was 0.92%.
58
TABLE 4.4: COMMUNITY STRUCTURE AND IMPORTANCE VALUE INDEX (IVI) OF BROWSES
Stand Browse Communities No. of Species IV Contributed by
No. Trees Shrubs Herbs Grasses Total species Trees Shrubs Herbs Grasses Total IV Three dominant Browses
1 Haloxylon-Calligonum-Leptadenia 0 3 5 4 12 0 123.07 82.28 94.65 300 123.07
2 Haloxylon-Suaeda-Pulicaria 1 3 5 2 11 3.85 174.05 45.57 76.53 300 174.05
3 Leptadenia-Aerva-Crotalaria 1 6 3 4 14 5.04 216.18 5.79 72.99 300 169.75
4 Crotalaria-Leptadenia-Haloxylon 2 6 3 5 16 3.18 195.24 6.4 95.18 300 147.61
5 Calligonum-Haloxylon-Crotalaria 1 4 6 4 15 1.02 169.76 53.91 75.31 300 167.09
6 Suaeda-Haloxylon-Salsola 1 7 3 3 14 1.32 187.91 19.64 91.13 300 160.38
7 Haloxylon-Calligonum-Aerva 0 5 5 4 14 0 145.02 63.08 91.9 300 133.97
8 Crotalaria-Aerva-Haloxylon 2 4 5 6 17 8.62 122.79 76.87 91.72 300 107.69
9 Calligonum-Haloxylon-Aerva 0 4 6 2 12 0 148.71 106.9 44.39 300 143.07
10 Aerva-Crotalaria-Calligonum 0 5 8 4 17 0 156.25 56.86 86.89 300 111.91
11 Suaeda-Salsola-Haloxylon 2 4 4 3 13 3.69 212.28 14.25 69.78 300 209.08
12 Calligonum -Haloxylon-Leptadenia 0 3 5 3 11 0 122.11 128.98 48.91 300 122.11
13 Haloxylon-Suaeda-Tephrosia 1 4 4 3 12 3.31 221.19 11.15 64.35 300 200.95
14 Salsola-Crotalaria-Haloxylon 0 7 5 3 15 0 189.54 33.93 76.53 300 144.75
15 Haloxylon-Suaeda-Calotropis 1 5 4 2 12 3.32 205.81 7.54 83.33 300 187.26
16 Salsola-Leptadenia-Capparis 1 5 3 3 12 1.43 201.88 21.48 75.21 300 158.71
17 Leptadenia-Salsola-Haloxylon 2 7 3 2 14 5.68 163.47 36.21 94.64 300 111.69
18 Haloxylon-Calligonum-Crotalaria 1 3 7 4 15 1.92 138.1 62.34 97.64 300 138.10
19 Aerva-Salsola- Calotropis 1 4 6 2 13 1.76 140.11 23.27 134.86 300 127.59
20 Suaeda-Haloxylon-Abutilon 0 3 6 2 11 0 175.85 40.25 83.90 300 175.85
59
11. Suaeda-Salsola-Haloxylon community (SSH)
In stand eleven Suaeda fruticosa (IV=110.15), Salsola baryosma (IV=58.32) and Haloxylon
recurvum (IV=40.61) community was dominant. Habitat of this community was clayey
saline area. This community was composed of 02 species of trees, 04 species of shrubs and
herbs each and 03 species of grasses, overall 13 species were recorded during sampling.
Importance value contributed by trees was 03.69, by shrubs 212.28, by herbs 14.25 and by
grasses 69.78. However, contribution of three dominant browse species was 209.08.
According to soil analysis of this stand, texture of soil was clayey with pH 8.53 and EC
11.45. The contents of Na, K, P, were 82.17 ppm, 20.54 ppm and 2.57 ppm respectively,
while soil moisture was 0.91% and organic matter was 0.18%.
12. Calligonum-Haloxylon-Leptadenia community (CHL) Calligonum polygonoides (IV=55.87) Haloxylon salicornicum (IV=44.12) and Leptadenia
pyrotechnica (IV=22.12) community was dominant at stand twelve. This community was
located over sandunal area. Total 11 plant species were identified in which 03 were shrubs,
05 were herbs and 03 were grasses. Total importance value added by shrubs was 122.11, by
herbs 128.98 and by grasses 48.91. While importance value contributed by three dominant
browse species was 122.11. According to soil analysis of this area, texture of soil was sandy
with pH 07.96 and EC 0.92. The contents of Na, K, P, were 14.67 ppm, 28.65 ppm, and
03.86 ppm respectively, while soil moisture and organic contents were as 0.46% and 0.37%.
13. Haloxylon-Suaeda-Tephrosia community (HST)
This stand was located on clayey saline area. Haloxylon recurvum (IV=98.34) Suaeda
fruticosa (IV=76.96) and Tephrosia uniflora (IV=25.65) community was composed of total
12 plant species out of which 01 was tree, 04 were shrubs, 04 were herbs and 03 were
grasses. Importance value contributed by three dominant browse species was 200.95, while
total importance value contributed by trees was 3.31, by shrubs 221.19, by herbs 11.15 and
by grasses 64.35. Texture of soil in this community was clayey with pH 8.49 and EC 9.84.
The values of Na, K, P, were 62.64 ppm, 24.99 ppm, and 2.78 ppm respectively, whereas soil
moisture was 0.87% and organic contents was 0.22%.
14. Salsola-Crotalaria-Haloxylon community (SCH)
At stand fourteen Salsola baryosma (IV=65.29) Crotalaria burhia (IV=52.14) and Haloxylon
salicornicum (IV=27.32) community was present. It was interdunal sandy area. This
60
community was composed of 07 species of shrubs 05 species of herbs and 03 species of
grasses. Total importance value contributed by shrubs was 189.54, by herbs 33.93, by grasses
76.53, while importance value added by three dominant browses was 144.75. Texture of soil
was sandy loam with pH 8.11 and EC 3.86. The contents of Na, K, P, were 31.27 ppm, 54.21
ppm, and 5.52 ppm respectively while concentration of soil moisture was 0.69% and organic
matter was 0.73%.
15. Haloxylon-Suaeda-Calotropis community (HSC)
Haloxylon recurvum (IV=100.25) Suaeda fruticosa (IV= 55.87) and Calotropis procera (IV=
31.14) community was present on clayey saline patch. This community was consisting of 01
species of trees 05 species of shrubs 04 species of herbs and 02 species of grasses. Total 12
plants species were recorded in this stand. Total importance value contributed by trees was
03.32, by shrubs 205.81, by herbs 07.54 and by grasses 83.33, while importance value added
by three dominant browses was 187.26. In this stand, texture of soil was clayey with pH 8.36
and EC 10.06. The values of Na, K, P, were 69.21 ppm, 20.05 ppm, and 2.54 ppm
respectively, while soil moisture was 0.75% and organic contents was 0.18%.
16. Salsola-Leptadenia-Capparis community (SLC)
In this stand Salsola baryosma (IV=74.38) Leptadenia pyrotechnica (IV=55.12) and
Capparis deciduas (IV=29.21) community was dominating. It was interdunal sandy area. Out
of total recorded species, 01 was tree, 05 were shrubs, 03 were herbs and 03 were grasses.
Importance value added by three dominant browses was 158.71. While importance value of
trees was 01.43, by shrubs 201.88, by herbs 21.48 and by grasses 75.21. Soil texture of this
community was sandy loam with pH 8.33 and EC 3.98. The concentration of Na, K, P, was
33.12 ppm, 46.75 ppm, and 6.04 ppm respectively, while soil moisture was 0.64% and
organic matter was 0.81%.
17. Leptadenia -Salsola-Haloxylon community (LSH)
At stand seventeen Leptadenia pyrotechnica (IV=47.43) Salsola baryosma (IV=41.84) and
Haloxylon salicornicum (IV=22.42) community was dominating. It was interdunal sandy
area. During sampling in this stand, total 14 plant species were recorded in which 02 were
trees, 07 were shrubs 03 were herbs and 02 were grasses. In this community, contribution to
total importance value by trees was 5.68, by shrubs 163.47, by herbs 36.21, and by grasses
94.64; however, importance valued of three dominant browses was 111.69. In this
61
community, texture of soil was sandy loam with pH 8.26 and EC 2.84. The values of Na, K,
P, were 27.26 ppm, 68.76 ppm, and 7.08 ppm respectively, while soil moisture was 0.58%
and organic matter was 0.56%.
18. Haloxylon-Calligonum-Crotalaria community (HCC)
Haloxylon salicornicum (IV=67.32) Calligonum polygonoides (IV=47.66) Crotalaria burhia
(IV=23.12) community was located on sandunal habitat. In this stand 15 plant species were
recorded out of which 01 was tree 03 were shrubs 07 were herbs and 04 were grasses. Total
importance value by trees was 1.92, by shrubs 138.1, by herbs 62.34 and by grasses 97.64.
The importance value contributed by three dominant browser species was 138.10. At this
stand, texture of soil was sandy with pH 8.05 and EC 2.04. The concentration of Na, K, P,
was 20.59 ppm, 31.22 ppm, and 3.42 ppm respectively, while soil moisture 0.37% and
organic matter was 0.34%.
19. Aerva-Salsola-Calotropis community (ASC)
At stand nineteen Aerva javanica (IV=53.12) Salsola baryosma (IV=48.04) and Calotropis
procera (IV= 26.43) community was located. It was interdunal sandy habitat. In this
community total 13 plant species were recorded, in which 01 species was tree, 04 were
shrubs, 06 were herbs and 02 were grasses. In this stand importance value contributed by
three dominants, browse species was 127.59. Overall, Importance value contributed by trees
was 1.76 by shrubs 140.11, by herbs 23.27 and by grasses 134.86. Soil texture of this
community was sandy loam with pH 8.3 and EC 4.57. The values of Na, K, P, were as 37.24
ppm, 43.54 ppm, and 5.34 ppm respectively, however soil moisture was 0.53% and organic
matter was 0.87%.
20. Suaeda-Haloxylon-Abutilon community (SHA)
Suaeda fruticosa (IV= 85.17) Haloxylon recurvum (IV=73.34) Abutilon muticum (IV=17.34)
community was located on clayey saline area. In this stand, total 11 plant species were
recorded in which 03 were shrubs, 06 were herbs and 02 were grasses. Total importance
value contributed by shrubs was 175.85, by herbs 40.25 and by grasses 83.90. Whereas,
importance value added by three dominant browse species was 175.85. In this community,
soil texture was clayey with pH 8.55 and EC 11.98. The contents of Na, K, P, were 83.09
ppm, 22.72 ppm, and 2.96 ppm respectively, while soil moisture was 0.83% and organic
contents were 0.23%.
62
TABLE 4.5: SOIL PHYSIO-CHEMICAL ANALYSIS OF BROWSE COMMUNITIES
Stand
No.
Browse Community Depth
cm
pH EC
ds/m
Na
ppm
K
ppm
P
ppm
Soil Moisture
%
Organic matter
%
Saturation
%
Texture
1 Haloxylon-Calligonum-Leptadenia 0-30 7.89 02.08 22.07 30.12 4.2 0.48 0.26 17 Sandy
2 Haloxylon-Suaeda-Pulicaria 0-30 8.45 10.43 76.43 25.43 2.12 0.92 0.21 61 Clayey
3 Leptadenia-Aerva-Crotalaria 0-30 8.25 02.68 29.17 70.22 5.21 0.71 0.85 27 Sandy Loam
4 Crotalaria-Leptadenia-Haloxylon 0-30 8.14 04.41 36.25 41.64 4.32 0.54 0.49 28 Sandy Loam
5 Calligonum-Haloxylon-Crotalaria 0-30 8.11 01.97 15.76 27.98 4.12 0.32 0.38 19 Sandy
6 Suaeda-Haloxylon-Salsola 0-30 8.37 12.13 90.18 21.95 1.98 0.76 0.19 63 Clayey
7 Haloxylon-Calligonum-Aerva 0-30 8.08 01.33 18.35 32.76 3.87 0.35 0.27 17 Sandy
8 Crotalaria-Aerva-Haloxylon 0-30 8.28 02.34 28.32 62.43 7.68 0.65 0.66 29 Sandy Loam
9 Calligonum-Haloxylon-Aerva 0-30 7.91 01.45 17.45 26.53 4.08 0.34 0.29 16 Sandy
10 Aerva-Crotalaria-Calligonum 0-30 8.31 04.21 35.12 65.28 6.54 0.72 0.92 27 Sandy Loam
11 Suaeda-Salsola-Haloxylon 0-30 8.53 11.45 82.17 20.54 2.57 0.91 0.18 61 Clayey
12 Calligonum -Haloxylon-Leptadenia 0-30 7.96 0.92 14.67 28.65 3.86 0.46 0.37 18 Sandy
13 Haloxylon-Suaeda-Tephrosia 0-30 8.49 09.84 62.64 24.99 2.78 0.87 0.22 63 Clayey
14 Salsola-Crotalaria-Haloxylon 0-30 8.11 03.86 31.27 54.21 5.52 0.69 0.73 28 Sandy Loam
15 Haloxylon-Suaeda-Calotropis 0-30 8.36 10.06 69.21 20.05 2.54 0.75 0.18 62 Clayey
16 Salsola-Leptadenia-Capparis 0-30 8.33 03.98 33.12 46.75 6.04 0.64 0.81 28 Sandy Loam
17 Leptadenia-Salsola-Haloxylon 0-30 8.26 02.84 27.26 68.76 7.08 0.58 0.56 29 Sandy Loam
18 Haloxylon-Calligonum-Crotalaria 0-30 8.05 02.04 20.59 31.22 3.42 0.37 0.34 19 Sandy
19 Aerva-Salsola- Calotropis 0-30 8.30 04.57 37.24 43.54 5.34 0.53 0.87 27 Sandy Loam
20 Suaeda-Haloxylon-Abutilon 0-30 8.55 11.98 83.09 22.72 2.96 0.83 0.23 61 Clayey
Key words: EC=Electrical conductivity, Na=Sodium, K=Potassium, P=Phosphorus
63
4.2.2: MULTIVARIATE ANALYSIS In multivariate analysis, classification and ordination techniques were used to analyze the
data. Multivariate analysis has produced almost similar results as obtained in previous section
(4.2.1) by tabular data of Importance value index.
4.2.2.1: CLASSIFICATION
Cluster analysis was used to classify the vegetation of Cholistan rangelands into relatively
homogeneous groups of stands using importance value index of species in each stand. Here
results have been presented in form of dendrogram as shown in figure 4.2. Cluster analysis of
twenty stands has delineated three vegetation associations inhabiting the sandunes, interdunal
sandy patch, and clayey saline flats as described below.
Sandunal association (Cluster A)
In this cluster, six stands were included i.e., 1, 5, 7, 9, 12, and 18, as shown in the figure 4.2.
This association was comprised of six browse communities while the habitat of these stands
was sandunal. Total 21 plant species were recorded in this association out of which there
were six browse species. In sandunal association dominant browse species were Calligonum
polygonoides (IV=60.78) and Haloxylon salicornicum (IV=59.85) while Aerva javanica
(IV=14.43) Crotalaria burhia (IV=12.79) and Leptadenia pyrotechnica (IV=10.75) were
associated species (Table 4.6). Physio-chemical analysis of soil showed that texture of this
association was sandy with pH 8, EC 1.63, soil moisture 0.39% and organic matter was
0.32%. The concentration of Na, K, P, was calculated as 18.15 ppm, 29.54 ppm and 3.93
ppm respectively (Table 4.7).
Interdunal sandy association (Cluster B)
This association was consisting of eight stands including 3, 4, 8, 10, 14, 16, 17, and 19
(Figure 4.2.) The habitat of these stands was interdunal sandy. In this cluster, total 38 plant
species were present out of which 13 species were browses. This association was comprised
of eight browse communities, whereas most dominant browse species was Leptadenia
pyrotechnica (IV=46.40) followed by Aerva javanica (IV=42.14) Crotalaria burhia
(IV=41.33) and Salsola baryosma (IV=37.82) respectively. However Haloxylon
salicornicum (IV=26.36) Capparis deciduas (IV=22.85) Calotropis procera (IV= 20.81)
Calligonum polygonoides (IV=20.68) were considered as associated species (Table 4.6). Soil
texture of this association was sandy loam with pH 08.25 and EC 03.61. The contents of Na,
64
K, P, were calculated as 32.22 ppm, 56.60 ppm and 5.97 ppm respectively, whereas soil
moisture was 0.63% and organic matter was 0.74% (Table 4.7).
Clayey saline association (Cluster C)
Cluster C, was consisting of six stands i.e. 2, 6, 11, 13, 15, 20, as shown in figure 4.2. This
association was comprised of six browse communities and habitat of these stands was clayey
saline. Total 23 plant species were observed in this association in which 11 species were
browses, whereas dominant browse species were Suaeda fruticosa (IV=79.02) and Haloxylon
recurvum (IV=75.25) while Salsola baryosma (IV=39.38) Calotropis procera (IV=20.68)
Pulicaria rajputanae (IV=15.60), Abutilon muticum (IV=13.79) Tephrosia uniflora
(IV=13.24) were associated species (Table 4.6). Based on soil analysis of these stands, soil
texture was clayey with pH 8.46 and EC 10.98. The concentration of Na, K, P, was 77.29
ppm, 22.61 ppm and 2.49 ppm respectively, whereas soil moisture was 0.84% and organic
matter was 0.20% (Table 4.7).
FIGURE 4.2: DENDROGRAM FROM CLUSTER ANALYSIS OF STANDS
Key words: A=Sandunal association, B=Interdunal sandy association, C=Clayey saline association
WPGMA
Squared Euclidean
S1 S18 S5 S7 S9 S12 S3 S4 S16 S17 S8 S10 S14 S19 S2 S20 S13 S6 S15 S11
36000 30000 24000 18000 12000 6000 0
Cluster C
Cluster B
A Cluster
65
TABLE 4.6: MEAN IMPORTANCE VALUES OF PLANT SPECIES IN THREE ASSOCIATIONS
Sr. No. Plant Species A B C 1 Abutilon muticum 0 12.52 13.79 2 Acacia nilotica 0 2.74 0 3 Aeluropus lagopoides 0 0 28.26 4 Aerva javanica 14.43 42.14 0 5 Aristida adscensionis 0 5.20 0 6 Calligonum polygonoides 60.78 20.68 0 7 Calotropis procera 0 20.81 20.68 8 Capparis decidua 0 22.85 10.97 9 Cenchrus biflorus 5.99 0 0 10 Cenchrus ciliaris 28.84 10.14 0 11 Cenchrus setigerus 0 7.89 0 12 Chrozophora plicata 4.00 3.12 0 13 Citrulus colocynthis 3.19 2.23 0 14 Convolvulus microphyllus 0 0 3.13 15 Corchorus depressus 0 2.32 4.55 16 Crotalaria burhia 12.79 41.33 0 17 Cymbopogon jwarancusa 0 29.67 40.89 18 Dipterygium glaucum 62.74 44.41 0 19 Euphorbia prostrata 2.03 1.84 2.50 20 Fagonia cretica 0 7.94 10.90 21 Farsetia hamiltonii 15.15 1.54 0 22 Gisekia pharnaceoides 0 1.87 0 23 Glinus lotoides 0 0 1.68 24 Haloxylon recurvum 0 0 75.25 25 Haloxylon salicornicum 59.85 26.36 0 26 Heliotropium crispum 0 11.18 10.34 27 Lasiurus scindicus 29.22 19.91 0 28 Leptadenia pyrotechnica 10.75 46.40 0 29 Limeum indicum 10.14 3.32 0 30 Mollugu cerviana 2.16 1.13 0 31 Ochthochloa compressa 0 41.03 9.25 32 Panicum devisum 0 25.64 0 33 Panicum turgidum 44.14 30.67 0 34 Polygala erioptera 1.36 1.34 0 35 Prosopis cineraria 1.47 2.91 0 36 Pulicaria rajputanae 0 0 15.60 37 Salsola baryosma 0 37.82 39.38 38 Salvadora oleoides 0 0 2.59 39 Sesuvium sesuvioides 2.62 2.22 0
66
40 Solanum surattense 0 2.07 4.16 41 Sporobolus iocladus 0 31.51 41.26 42 Stipagrostis plumosa 10.13 11.20 0 43 Suaeda fruticosa 0 2.14 79.02 44 Tamarix aphylla 0 0 2.62 45 Tephrosia uniflora 0 2.21 13.24 46 Tribulus longipetalus 1.81 2.45 0 47 Zaleya pentendra 0 0 2.47 48 Zizyphus mauritiana 0 0 2.54
TABLE 4.7: MEAN VALUES OF SOIL ANALYSIS AT THREE ASSOCIATIONS
Association Depth cm
pH EC ds/m
Na ppm
K ppm
P ppm
Soil moisture %
Organic matter %
Saturation %
Texture
A 0-30 8 1.63 18.15 29.54 3.92 0.39 0.32 17.67 Sandy
B 0-30 8.25 3.61 32.22 56.60 5.97 0.63 0.74 34.87 Sandy Loam
C 0-30 8.46 10.98 77.29 22.61 2.49 0.84 0.20 61.83 Clayey
Key words: A=Sandunal association, B=Interdunal sandy association, C=Clayey saline association EC=Electrical conductivity, Na=Sodium, K=Potassium, P=Phosphorus
4.2.2.2: ORDINATION
In ordination, (correspondence analysis) DCA ordination (indirect gradient analysis) and
CCA ordination (direct gradient analysis) procedures of multivariate statistical methods were
used.
DETRENDED CORRESPONDENCE ANALYSIS (DCA)
The distribution of 20 stands along first axis and second axis of detrended correspondence
analysis is represented in the figure 4.3. DCA analysis of stands has maintained the
coherency with vegetation groups identified by cluster analysis (CA). However, scatter graph
is easily interpretable in ecological terms. Stands situated to the left of diagram were
representing the sandunal association (A) and stands situated more to the right of diagram
were showing the clayey saline association (C). While the stands in-between them were
showing the interdunal sandy association (B). This graph illustrate a gradient along
ordination axes 1 which could be related to high pH, EC, Na and soil moisture in right side at
association C and low in left side with association A. Summary of detrended correspondence
analysis is given in the table 4.8.
67
TABLE 4.8: SUMMARY OF DETRENDED CORRESPONDENCE ANALYSIS Axis Axis 1 Axis 2 Axis 3 Axis 4 Eigenvalues 0.823 0.157 0.084 0.052 Percentage 34.193 6.526 3.482 2.152 Cum. Percentage 34.193 40.719 44.201 46.353
FIGURE 4.3: DETRENDED CORRESPONDENCE ANALYSIS (DCA) OF STANDS
Key words: A=Sandunal association, B=Interdunal sandy association, C=Clayey saline association
CANONICAL CORRESPONDENCE ANALYSIS (CCA)
To determine the overall pattern of plant species and stands distribution based on
environmental factors, CCA ordination was performed on a medium containing importance
values of species (n=48 species) in 20 stands. In biplot (Figure 4.4), points were representing
individual stands and arrow representing soil variables. The length and direction of an arrow
representing a given environmental factor provide a sign of importance and direction of
gradient of environmental change for that factor. Long arrow was more closely correlated in
ordination than those with short arrow and was much significant in influencing the variations
in community. Perpendicular vegetation associations near to or beyond the tip of arrows will
be strongly correlated and influenced by an arrow while those at opposite end will be less
affected.
DCA case scores
Axis 2
Axis 1
S1
S2
S3
S4 S5
S6
S7 S8
S9
S10
S11
S12
S13 S14 S15
S16
S17
S18
S19 S20
0.0
0.9
1.9
2.8
3.8
4.7
0.0 0.9 1.9 2.8 3.8 4.7
A B C
68
The angle between an arrow and each axis is a reflection of its degree of correlation with
axis. The eigenvalues of CCA axis are given in the table 4.9. The first two axes are most
important in elucidating the variations in floristic data because these explain 100% variation.
As first two axes are standards for determining the variation in data, hence variables that
strongly correlate with these axes were considered as most important environmental factors.
The continuous decrease of the eigenvalues along the CCA axes has stated a well-structured
data set. In CCA of stands EC, Na, OM, P, K, were most important variables influencing the
stands distribution. While going through the axis 1 and 2, some stands were assembled on
negative side of axis 1 away from the origin of the axis under the effect of EC and Na.
Whereas some stands were scattered on positive side of axis 2 under the influence of OM, P,
and K. It was observed, electrical conductivity and sodium were more towards the long arrow
having strong correlation and portraying some significant role in grouping of stands.
FIGURE 4.4: CCA BIPLOT OF STANDS WITH ENVIRONMENTAL (SOIL) VARIABLES
Key words: A=Sandunal association, B=Interdunal sandy association, C=Clayey saline association EC=Electrical conductivity, Na=Sodium, K=Potassium, P=Phosphorus, OM=Organic matter, M=Moisture
CCA case scores
Axis 2
Axis 1
S1
S2
S3
S4
S5
S6
S7
S8
S9
S10
S11
S12
S13
S14
S15
S16
S17
S18
S19
S20 -0.5
-0.9
-1.4
0.5
0.9
1.4
1.9
2.4
-0.5 -0.9 -1.4 0.5 0.9 1.4 1.9 2.4
pH
EC Na
K P
M
MO
Vector scaling: 2.00
A
B
C
69
TABLE 4.9: SUMMARY OF CANONICAL CORRESPONDENCE ANALYSIS Axis Axis 1 Axis 2 Axis 3 Axis 4 Axis 5 Eigenvalues 0.77 0.355 0.08 0.069 0.065 Percentage 31.958 14.734 3.324 2.846 2.695 Cum. Percentage 31.958 46.693 50.016 52.862 55.557 Cum. Constr. Percentage 54.266 79.284 84.928 89.76 94.336 Spec.-env. correlations 0.974 0.918 0.883 0.768 0.788
4.3: FORAGE PRODUCTION OF BROWSES Browse forage production was estimated during wet (August) and dry season (April) in the
arid rangelands of Cholistan desert. Our study focused on the aboveground productivity of
browses and its belowground counterpart was not explored.
WET SEASON
In Cholistan rangelands during wet season, total fresh browse productivity from all stands
was 14034.6 kg/ha and dry forage productivity was 8029.1 kg/ha. The highest quantity of dry
phytomass was attained at stand 8 (554.4 kg/ha) and minimum at stand 20 (321.5 kg/ha). The
average fresh forage yield recorded from all stand was 701.73 kg/ha and dry forage yield was
401.46 kg/ha. On the basis of habitats, maximum dry matter production (3681.3 kg/ha) was
observed at interdunal habitat, followed by sandunal habitat (2298.5 kg/ha) and then clayey
saline habitat (2049.3 kg/ha). However, average dry forage production of browses at
interdunal habitat was 460.16 kg/ha followed by sandunal habitat with 383.08 kg/ha then
clayey saline habitat with 341.55 kg/ha (Figure 4.5). Based on grazing intensity in wet
season, maximum stands (45%) were observed to be moderately grazed followed by
overgrazed (40%) and then slightly grazed (15%) (Annexure 8.5).
DRY SEASON In Cholistan rangelands during dry season the total fresh biomass productivity was 8865.8
kg/ha while dry matter production was 5422.9 kg/ha. The average fresh productivity of all
stands was 443.29 kg/ha and dry matter was 271.145 kg/ha. The maximum dry matter of
browses was attained at stand 4 (376.5 kg/ ha) while minimum was at stand 20 (161 kg/ha).
Along habitats, maximum dry biomass was recorded at interdunal sandy habitat (2633 kg/ha)
followed by sandunal habitat (1496.5 kg/ha) and then at clayey saline habitat (1293.4 kg/ha).
The average dry forage productivity of interdunal habitat was 329.13 kg/ha followed by
70
sandunal habitat with 249.42 kg/ha then clayey saline habitat with 215.57 kg/ha (Figure 4.5).
In this season maximum stands were observed to be over grazed (75%), followed by
moderately grazed (25%) and there was no stand without grazing effects (Annexure 8.5). FIGURE 4.5: SEASONAL BROWSE FORAGE YIELD (kg/ha) AT THREE RANGE HABITATS
4.4: RANGE CARRYING CAPACITY
Carrying capacity or grazing capacity is a common term, used when we are defining the
stocking rates. In this study, carrying capacity was calculated in the rangelands of Cholistan
desert with respect to browse production. The detail description of carrying capacity in both
wet and dry seasons has been presented as below.
WET SEASON
As given in the table (4.10) overall average dry browse production during wet season was
394.93 kg/ha while available forage production was 157.97 kg/ha. The proper use factor
(PUF) has been taken as 40% to estimate available forage. Over three range habitats in
Cholistan desert, maximum available forage was observed at interdunal sandy (184.06 kg/ha)
followed by sandunal (153.23 kg/ha) and least at clayey saline (136.62 kg/ha). However,
carrying capacity (CC) during wet season was calculated as 16 ha/AU/Y while at interdunal
was 14/ha/AU/Y; at sandunal was 17 ha/AU/Y and at clayey saline habitat was 19 ha/AU/Y.
It was estimated that Cholistan desert cover an area of 2.6 million hectare out of which
01000200030004000500060007000
FreshBiomass
DryBiomass
FreshBiomass
DryBiomass
Wet season Dry seasonSandunal 4062.2 2298.5 2543.6 1496.5Interdunal sandy 6677.8 3681.3 4484 2633Clayey saline 3294.6 2049.3 1838.2 1293.4
Kg/
ha
71
1300000 ha has been considered as rangelands. Based upon this factor, the stocking rate
during wet season was calculated as 80376 AU/Y in Cholistan rangelands.
DRY SEASON
In dry season overall average dry matter production was 264.71 kg/ha while the available
forage was 105.88 kg/ha (Table 4.10). Across the three range habitats in Cholistan desert,
maximum available forage was recorded at interdunal habitat (131.65 kg/ha) followed by
sandunal habitat (99.77 kg/ha) and then at clayey saline habitat (86.23 kg/ha). Based on
available forage overall carrying capacity in dry season was calculated as 24 ha/AU/Y
whereas carrying capacity of interdunal was 19 ha/AU/Y, sandunal was 26 ha/AU/Y and at
clayey saline habitat was 30 ha/AU/Y. In this season, the stocking density of Cholistan
rangelands was calculated as 53872 AU/Y.
TABLE 4.10: SEASONAL CARRYING CAPACITY (CC) AT THREE RANGE HABITATS
Season Range Habitat Aveg. Browse Production
(kg/ha)
Available Forage
(kg/ha)
Carrying Capacity
(ha/AU/Y)
Wet season Sandunal 383.08 153.23 17
Interdunal sandy 460.16 184.06 14
Clayey saline 341.55 136.62 19
Overall aveg. CC 394.93 157.97 16
Dry season Sandunal 249.42 99.77 26
Interdunal sandy 329.13 131.65 19
Clayey saline 215.57 86.23 30
Overall aveg. CC 264.71 105.88 24
72
4.5: PALATABILITY CLASSIFICATION OF BROWSES
4.5.1: DEGREE OF PALATABILITY
This classification was based on palatability of browses in the arid rangelands of Cholistan
desert. Out of total species, 22 (88%) species were found to have palatability to varying
degree and 03 (12%) species were found non-palatable. Among palatable species, 07 species
(31.82%) were highly palatable, 09 species (40.91%) were moderately palatable, and 06
species (27.27%) were less palatable. In highly palatable class, there were 05 species of trees
and 02 species of shrubs. Moderately palatable species were consisting of 02 species of trees
and 07 species of shrubs. Less palatable class was composed of 06 species of shrubs while
non-palatable class was consisting of only 03 species of shrubs (Figure 4.6). There were total
07 species of trees in which 71.43% were highly palatable and 28.57% moderately palatable.
Out of 18 species of shrubs, 11.11% species were highly palatable, 38.89% were moderately
palatable, 33.33% were less palatable, and 16.67% species were unpalatable (Annexure 8.6). FIGURE 4.6: CLASSIFICATION OF BROWSES BASED ON PALATABILITY
4.5.2: PALATABILITY BY PARTS USED
This classification was based on the type of plant parts, used by livestock in Cholistan
rangelands (Figure 4.7). It was observed that among palatable species, leaves of 14 species
(63.64%), shoot/stem of 13 species (59.09%), flower of 04 species (18.18%), and fruit of 03
species (13.64%) were grazed by livestock. The first class in which leaves were used, was
consisting of 06 species of trees and 08 species of shrubs. In second class in which
shoot/stem was used, there were 04 species of trees and 09 species of shrubs. Flower use
0
5
10
15
20
25
Nonpalatable
Palatable Highlypalatable
Moderatlypalatable
Lesspalatable
Total species 3 22 7 9 6Trees 0 7 5 2 0Shrubs 3 15 2 7 6
No.
of s
peci
es
73
class, was consisting of 02 species of trees and shrubs each. In fruit class, there were only 03
species of trees (Annexure 8.6). FIGURE: 4.7: CLASSIFICATION OF BROWSES BASED ON PARTS USED
4.5.3: PALATABILITY BY LIVESTOCK PREFERENCES
According to results (Figure 4.8) out of total palatable browse species, 07 species (31.82%)
were grazed by cattle, which comprised of 05 species of trees and 02 species of shrubs. Goats
were observed to prefer 10 species (45.45%) which consisted of 06 species of trees and 04
species of shrubs. Sheep grazed on 10 species (45.45%) which were composed of 06 species
of trees and 04 species of shrubs. Whereas, 20 species (90.91%) were preferred by camel
which consisting of 07 species of trees and 13 species of shrubs (Annexure 8.6). FIGURE 4.8: CLASSIFICATION OF BROWSES BASED ON LIVESTOCK PREFERENCES
0
2
4
6
8
10
12
14
Leave Shoot Flower FruitTotal species 14 13 4 3Trees 6 4 2 3Shrubs 8 9 2 0
No.
of s
peci
es
02468
101214161820
Cattle Goat Sheep CamelTotal species 7 10 10 20Trees 5 6 6 7Shrubs 2 4 4 13
No.
of s
peci
es
74
4.6: NUTRITIONAL EVALUATION OF BROWSES 4.6.1: PROXIMATE COMPOSITION
Proximate composition of selected browse species of Cholistan rangelands is presented in
table 4.11. The contents of dry matter (DM) varied significantly (p<0.05) among species
from 92.41 to 94.59%. The highest value of dry matter was observed in Haloxylon recurvum
and lowest in Calotropis procera. The concentration of crude protein (CP) was ranging from
08.25 to 17.46% and highest (p<0.05) contents of CP were observed in Suaeda fruticosa and
lowest in Prosopis cineraria. Ether extract (EE) was significantly (p<0.05) varied from 01.03
to 03.44% with maximum in Suaeda fruticosa and minimum in Haloxylon salicornicum.
Highest value (p<0.05) of crude fiber (CF) was observed in Calotropis procera (33.45%) and
lowest in Haloxylon recurvum (13.45%) that ranged from 13.45 to 33.45% among the
species. Similarly, maximum contents of ash (TA) were present in Suaeda fruticosa and
lowest in Prosopis cineraria and concentration of ash was significantly (p<0.05) varied from
08.24 to 18.60%. Subsequently mean concentration of nitrogen free extract (NFE) was
48.79% that was highest (p<0.05) in Haloxylon recurvum and lowest in Suaeda fruticosa. TABLE 4.11: PROXIMATE COMPOSITION OF SELECTED BROWSE SPECIES (ON *DM BASIS)
Sr. No. Species Name DM CP EE CF TA NFE (%) (%) (%) (%) (%) (%) Shrubs 1 Calligonum polygonoides 93.64P
bc 11.54P
d 1.47P
d 23.37P
e 09.48P
e 54.17P
b 2 Suaeda fruticosa 94.43P
ab 17.46P
a 3.44P
a 25.52P
d 18.60P
a 34.98P
g 3 Salsola baryosma 94.33P
ab 12.27P
c 1.08P
def 20.69P
f 16.40P
b 49.56P
de 4 Haloxylon recurvum 94.59P
a 12.21P
cd 1.04P
ef 13.45P
i 16.55P
b 56.75P
a 5 Haloxylon salicornicum 93.42P
c 13.18P
b 1.03P
f 19.51P
g 15.24P
c 51.04P
cd 6 Capparis decidua 94.44P
ab 08.98P
f 1.50P
d 32.34P
b 08.59P
fg 48.60P
e 7 Calotropis procera 92.41P
d 12.52P
bc 2.49P
b 33.45P
a 14.35P
d 37.18P
f Trees 8 Tamarix aphylla 92.57P
d 08.65P
fg 1.46P
de 18.39P
h 17.81P
a 53.69P
b 9 Prosopis cineraria 93.48P
c 08.25P
g 2.04P
c 31.45P
c 08.24P
g 50.02P
de 10 Acacia nilotica 92.52P
d 10.29P
e 3.11P
a 25.48P
d 09.18P
ef 51.91P
c Mean 93.58 11.54 1.87 24.36 13.44 48.79 SEM 0.27 0.24 0.14 0.30 0.29 0.51
Mean values based on 03 replicates; SEM: Standard error of means Means in same column with different superscript (a, b, c, d, e, f, g) are significantly different (P<0.05) *DM=Dry matter, CP=Crude protein, EE=Ether extract, CF=Crude fiber, TA=Total ash, NFE=Nitrogen free extract
75
4.6.2: STRUCTURAL COMPOSITION
The structural constituents of selected browses from Cholistan rangelands are presented in
table 4.12. In this study contents of fiber fractions (NDF, ADF, Hemicellulose & Lignin)
were showing significant (p<0.05) differences among species. The concentration of neutral
detergent fibers (NDF) were varied (p<0.05) from 29.33 to 44.00% with mean value 40.17%.
The highest NDF was observed in Prosopis cineraria and Acacia nilotica besides lowest was
observed in Haloxylon recurvum. The acid detergent fibers (ADF) were ranged from 12.33 to
33.67% with mean value 23.47%. Calligonum polygonoides was found to have maximum
(p<0.05) value of ADF and Haloxylon recurvum has lowest value. Wheras, the concentration
of hemicelluloses was significantly varied (p<0.05) from 10.00 to 21.67%. Highest contents
of hemicellulose were observed in Haloxylon salicornicum (21.67%) and lowest in
Calligonum polygonoides (10.00%). Similarly, mean concentration of lignin was 07.22% that
was highest in Prosopis cineraria (09.87%) and lowest in Calotropis procera (05.40%). TABLE 4.12: STRUCTURAL COMPOSITION OF SELECTED BROWSE SPECIES (ON *DM BASIS)
Sr. No. Species name NDF ADF Hemicellulose Lignin (%) (%) (%) (%)
Shrubs 1 Calligonum polygonoides 43.67P
a 33.67P
a 10.00P
f 8.80P
b 2 Suaeda fruticosa 33.00P
c 21.00P
de 12.00P
f 5.73P
ef 3 Salsola baryosma 41.67P
ab 21.00P
de 20.67P
a 6.60P
de 4 Haloxylon recurvum 29.33P
c 12.33P
f 17.00P
cde 5.73P
ef 5 Haloxylon salicornicum 42.33P
ab 20.67P
de 21.67P
a 6.27P
def 6 Capparis decidua 42.67P
a 24.33P
cd 18.33P
bc 6.70P
cd 7 Calotropis procera 38.67P
b 19.00P
e 19.67P
ab 5.40P
f Trees 8 Tamarix aphylla 42.33P
ab 27.33P
bc 15.00P
e 7.53P
c 9 Prosopis cineraria 44.00P
a 28.67P
b 15.33P
de 9.87P
a 10 Acacia nilotica 44.00P
a 26.67P
bc 17.33P
cd 9.57P
ab Mean 40.17 23.47 16.70 7.22 SEM 1.33 1.27 0.68 0.31
Mean values based on 03 replicates; SEM: Standard error of means Means in same column with different superscript (a, b, c, d, e, f) are significantly different (P<0.05) NDF=Neutral detergent fiber, ADF=Acid detergent fiber, *DM=Dry matter
76
4.6.3: MINERAL COMPOSITION
MACRO MINERALS The contents of macro-minerals (P, K, Na, Ca & Mg) in selected browses from Cholistan
rangelands are presented in the table 4.13. In this study, the concentration of phosphorus (P)
was varied (p<0.05) from 0.011 to 0.024% with mean value 0.016%. The highest value of P
was noted in Calligonum polygonoides and lowest in Haloxylon recurvum. The concentration
of potassium (K) was was ranging from 0.22 to 0.42% that was highest (p<0.05) for Salsola
baryosma and lowest for Prosopis cineraria. Sodium (Na) was considerably varying
(p<0.05) among species from 0.22 to 1.82% and their mean value was 1.15%. Maximum Na
contents were observed in Haloxylon recurvum and lowest in Calligonum polygonoides.
Similarly, maximum concentration of calcium (Ca) was noted in Capparis deciduas (0.37%)
and lowest in Suaeda fruticosa (0.22%) with the mean value 0.30% among the selected
species. The mean concentration of magnesium (Mg) was 0.021% that was highest in
Prosopis cineraria (0.030%) and lowest in Salsola baryosma (0.014 %).
MICRO MINERALS
The concentration of micro minerals (Mn, Cu, Zn & Fe) in selected browse species of
Cholistan rangelands are presented in table 4.13. According to results, concentration of
manganese (Mn) was ranging (p<0.05) from 01.60 to 08.46 ppm among browse species with
mean value 04.83 ppm. The contents of Mn were highest in Acacia nilotica (08.46 ppm) as
compare to other browse species. The concentration of copper (Cu) was found to be highest
in Calotropis procera (02.24 ppm) and lowest in Haloxylon recurvum (0.66 ppm) and
Haloxylon salicornicum (0.66 ppm), with mean 01.39 ppm in the analyzed species.
However, contents of zinc (Zn) were varied (p<0.05) from 0.81 to 03.44 ppm with mean
value 02.14 ppm. Zn was observed to be highest in Acacia nilotica (03.44 ppm) and lowest in
Haloxylon salicornicum (0.81 ppm). Similarly, concentration of ferrous (Fe) was found to be
significantly (p<0.05) high in Calotropis procera (10.41 ppm) and lowest in Haloxylon
salicornicum (01.42 ppm) with mean value 06.37 ppm.
77
TABLE 4.13: MINERAL COMPOSITION OF SELECTED BROWSE SPECIES (ON *DM BASIS) Sr. No. Species Name Macro minerals Micro minerals P K Na Ca Mg Mn Cu Zn Fe % % % % % ppm ppm ppm ppm
Shrubs
1 Calligonum polygonoides 0.024P
a 0.34P
bc 0.22P
d 0.27P
bc 0.017P
c 3.60P
e 1.44P
c 2.32P
b 9.50P
b
2 Suaeda fruticosa 0.017P
cd 0.29P
cd 1.73P
a 0.22P
c 0.016P
c 4.39P
d 1.60P
c 1.33P
e 9.62P
b
3 Salsola baryosma 0.019P
bc 0.42P
a 1.23P
b 0.23P
c 0.014P
c 3.54P
e 1.29P
c 3.39P
a 3.22P
e
4 Haloxylon recurvum 0.011P
e 0.25P
de 1.82P
a 0.25P
bc 0.018P
c 3.78P
de 0.66P
d 1.82P
cd 3.46P
e
5 Haloxylon salicornicum 0.014P
de 0.33P
bc 0.95P
c 0.36P
a 0.027P
ab 6.61P
b 0.66P
d 0.81P
f 1.42P
g
6 Capparis decidua 0.014P
de 0.29P
cd 0.81P
c 0.37P
a 0.025P
b 1.60P
g 2.14P
ab 3.11P
a 2.06P
f
7 Calotropis procera 0.012P
e 0.36P
b 0.97P
c 0.31P
ab 0.024P
b 8.39P
a 2.24P
a 1.80P
cd 10.41P
a
Trees
8 Tamarix aphylla 0.021P
ab 0.25P
de 1.33P
b 0.27P
bc 0.015P
c 2.45P
f 0.78P
d 1.47P
de 6.81P
d
9 Prosopis cineraria 0.018P
bc 0.22P
e 1.26P
b 0.35P
a 0.030P
a 5.52P
c 1.44P
c 1.92P
bc 8.60P
c
10 Acacia nilotica 0.012P
e 0.27P
de 1.18P
b 0.36P
a 0.024P
b 8.46P
a 1.68P
bc 3.44P
a 8.65P
c
Mean 0.016 0.30 1.15 0.30 0.021 4.83 1.39 2.14 6.37
SEM 1.233 0.02 0.07 0.02 1.716 0.26 0.16 0.15 0.19
Mean values based on 03 replicates; SEM: Standard error of means Means in same column with different superscript (a, b, c, d, e, f, g) are significantly different (P<0.05) P=Phosphorus, K= Potassium, Na= Sodium, Ca= Calcium, Mg=Magnesium, Mn=Manganese, Cu=Copper, Zn=Zinc, Fe=Ferrous *DM=Dry matter
78
UDISCUSSION _ ________________________ CHAPTER 5
5.1: FLORISTIC INVENTORY OF BROWSES
5.1.1: FLORISTIC COMPOSITION
A rich flora would definitely signify high floristic composition and diversity in a particular
area. The information about floristic composition of an area is important for any
phytogeographical, ecological, and conservational studies. Pakistan has a great diversity of
flora due to large variety of habitats and ecological zones. Our first objective of this study
was to compile the floristic inventory of browses from Cholistan rangelands. The results
revealed that floristic list was comprised of twenty-five browse species that were distributed
among twelve families. Based on Family Importance Value (FIV) Chenopodiaceae,
Mimosaceae and Rhamnaceae were regarded as dominant families, which mainly contributed
to browse flora of Cholistan rangelands. The vegetation of these rangelands was
characterized of arid climate mostly comprising of xerophytes that were adapted to low
humidity, high temperature and wide variations in edaphic conditions (Arshad & Akbar,
2002).
Further based on abundance of browses, 40% species were found to be very common that
composed the major vegetation cover of Cholistan rangelands. These species were consisting
of Aerva javanica, Leptadenia pyrotecnica, Capparis deciduas, Haloxylon recurvum,
Haloxylon salicornicum, Salsola baryosma, Suaeda fruticosa, Calligonum polygonoides,
Crotalaria burhia and Prosopis cineraria. The vegetation of Cholistan desert was mostly
consisting of bushy perennial shrubs with dotted small trees. On the basis of results it was
observed that 28% browse species are rare in Cholistan desert including Capparis spinosa,
Prosopis juliflora, Tephrosia uniflora, Zizyphus mauritiana, Zizyphus spina christi,
Salvadora oleoides and Tamarix dioica. Verbal information from nomadic peoples and
experts showed that climatic extremities, overgrazing, and exploitation by local inhabitants
were mainly contributing to the degradation of vegetation in Cholistan rangelands (Akbar &
Arshad, 2000; Akhtar & Arshad, 2006).
The individual plant species of particular community can be categorized into various life
forms based on their growth performance and physiognomy (Asmus, 1990). Raunkiaerin
approach is very helpful in understanding and explaining the diversity of vegetation in
relation to prevailing eco-biological conditions (Al-Yemeni & Sher, 2010). Results showed
79
that all the identified browses were Phanerophytes and perennials. The dominancy of
Phanerophytes reflects the climax stage of vegetation while dominance of perennials species
is an evident of arid area, with poor rainfall. Cholistan is a hot arid sandy desert whose
productivity depends upon monsoon rains (July to September). Mostly annuals species come
out with the onset of rain, complete their life cycle within few days, and become vanish.
Therefore, it gives us a clear indication that most of vegetation cover in Cholistan rangelands
is made up of perennial species (Akbar et al., 1996; Akhtar & Arshad, 2006).
There was little published material about the flora of Cholistan desert. Previously Arshad &
Rao (1994) has done preliminary survey to provide the base line about the flora of Cholistan
Desert. Since then, no further study has been carried out in this area. Therefore, this study
was designed to explore the current status of browse species in Cholistan rangelands. Several
floristic studies have been reported from in and out of the country. Some related work has
been carried in Indian desert that is on other side of Cholistan Desert (Shetty & Singh, 1991).
Similarly, A research project was carried by Bhatti et al., (1998-2001) for the floristic study
of Nara desert. Few studies have been reported from other adjoining areas (Qureshi, 2008a;
Hussain & Perveen, 2009; Qureshi & Bhatti, 2010; Durrani & Razaq, 2010; Qureshi et al.,
2011a).
5.1.2.: PHENOLOGICAL PATTERNS The information about phenological behavior represents a relation between climate and
growing seasons of plants species of an area (Hamann, 2004). Such types of studies are very
important for planning, conservation, and regeneration in forestry and range management
(Malik, 2005). The results of this study indicate that there were two phenological seasons in
the investigated area, first from February to April and second from September to November.
The both seasons were observed to be dependent on the availability of moisture from
rainfalls which usually occur in monsoon (July to September) and in winter and spring
(January through February) (Akbar & Arshad, 2000). Therefore, two seasons-early spring
and late summer-were characterized by high growth or reproductive activities of many
species. Furthermore, maximum species were recorded in second phenological season as
compare to first one because most of rainfall in desert was received during monsoon. Some
species were showing the dual behavior because they were observed in both phenological
seasons. There were also some species, which were not following this pattern due to great
80
variation in their phenological events. These species mostly consist of perennial shrubs and
trees, which are not wholly dependent on rainfall.
The first phenological season (Feb-Apr) was directly related with winter rainfall, though
winter rain is less than summer rainfall but lower evaporation during the winter increases the
effectiveness of this rain. It was observed that with the availability of moisture in soil and
low temperature in desert, the seedlings start to appear and maximum seedlings were noted in
February. Due to favorable climatic conditions in spring, maximum species were observed at
flowering stage in March. At this time, temperature start to increase day by day in desert, so
species initiate their fruiting in order to complete their lifecycle and maximum fruiting was
observed in April. In May climatic conditions become very severe and species started to
become dormant or dead. May to August was dormant period due to extreme temperature
and severe shortage of water and but few growth and reproductive activities of perennials
were also observed in this period.
The second phenological season was triggered with the onset of monsoon rain that mostly
occurs July through September. In extreme climatic condition of Cholistan rangelands,
monsoon rains provide sufficient water and lower overall temperature to some extent. These
favourable conditions promote the germination, seedlings start to appear from soil, and
maximum seedlings were observed in September. As growth continuous flowering starts and
maximum flowering was noted in October. Next stage is fruit formation that was observed in
November. In December, maximum plants started to become dormant/dead due to shortage
of water and decrease in temperature. Furthermore, due to continuous decrease in
temperature, deficiency of water and short photoperiod in desert, most of plat functions
remain dormant from December to January.
Different studies from various parts of the world have revealed that climatic factors are
generally responsible for reproductive and vegetative phenology at both species and
community level. The scarce and unpredictable nature of moisture in deserts is well known
but response of desert vegetation to this limiting resource is not well documented. The
present study revealed that sporadically maximum moisture is used at specific times by
particular groups of species and annual species are closely related to periods of abundant
moisture. Based on results rainfall has been recommended as the main source of variation in
the onset of flowering in communities with distinct dry weather. It has been observed that in
81
tropics and desert environments, variations in precipitation are more important than
temperature to control phenological patterns (Borchert et al., 2004; Brearley et al., 2007).
Our findings agreed with Kemp (1983) who have studied phenological behavior in
Chihuahuan desert in relation to availability of water. Similarly, Beatley (1974) has noted the
Phenological stages and their environmental triggers in Mojave Desert. Most of the dominant
species of the Chihuahuan, Mojave, and Sonoran deserts were found to be dependent on
seasonal availability of soil moisture for initiation of flowering and fruiting in order to
complete their life cycle (Beatley, 1974; Simpson, 1977; Kemp, 1983). Many studies have
revealed considerable variations in the onset of flowering because of climatic changes.
Therefore, long-term studies have been found compulsory for better understanding of the
phenological behaviour (Bowers, 2007).
5.1.3: ECONOMIC USE CLASSIFICATION Plants have remained important for human life since the history of humankind. It is very
difficult to think of any human activity in which plants are not involved in one way or other.
The present study deals with traditional uses of various browses in Cholistan rangelands. For
this purpose, twenty-five browse species belonging to twelve families were investigated and
information was collected for their local uses related to firewood, timber wood,
forage/fodder, and medicinal value. Results showed that study area was rich in browse
species of various economic uses. Maximum species were observed to have forage/fodder
value that clearly indicates that this area can serve as a big rangeland.
Further, uses of plants for treatment of various diseases in man and livestock are very
significant. These medicines perform an important role in life of nomadic peoples due to easy
accessibility. In Pakistan, major sources of medicinal plants are forest and rangelands. It has
been observed that homeopathic and traditional medicines are cheaper and usually more
accepted by local peoples (William & Zahoor, 1999). It was found that there is an increasing
trend of exploitation of medicinal plants of Cholistan rangelands due to increase in human
population, local hakims, and pharmaceutical industry. Subsequently, browse species were
also exploited as fuel wood and timber wood in Cholistan rangelands. Both of above uses
were consisting of those perennial species, which were making the maximum vegetation
cover but their ruthless cutting and unchecked utilization is increasing pressure on this area.
82
There was little published information about the uses of flora of Cholistan desert. Arshad, et
al., (2003) and Hameed et al., (2011) has reported the medicinal importance of plants in this
area. It was observed that lack of awareness in local peoples and over exploitation of flora
leading towards the degradation of this area. The results suggested that the major use of this
natural ecosystem could be as rangeland; therefore, effort should be made for the
improvement of this area. a b
c d
PLATE 5.1: ILLEGAL CUTTING AND BURNING OF BROWSE SPECIES (a, b, c, d)
83
5.2: PHYTOSOCIOLOGICAL STUDY OF BROWSES
5.2.1: COMMUNITY STRUCTURE
Phytosociology is generally concerned with methods for recognizing and defining plant
communities, and is collectively termed as classification. The major purpose of classification
is to make a set of plant communities for a particular area under investigation (Kent & Coker,
1997). In Cholistan rangelands flora differs greatly in species composition, hence dynamic
rhythm of plant life was seen changing in magnitude as one passed through desert; whereas
sharp changes were there with reference to topographic features, variability of soil and
distances among habitats.
The phytosociological classification of vegetation of Cholistan rangelands is summarized in
table 4.4. A total 25 browse species were recorded, not all of identified species were used in
the classification of plant communities. There were total twenty browse communities
recognized in the rangelands of Cholistan desert. It has been observed that sampling time and
seasonal activities change the structure of communities. In the studied area, woody and
perennial species almost remained same whereas shape of community changed due to the
prevalence of annuals (Therophytes) during monsoon, which shows seasonal aspect. Several
authors (Coetzee, 1993; Bredenkamp & Brown, 2003) agreed that the differences in
floristically defined plant communities were mostly linked with habitat variables such as
topography (landform, aspect, & slope), geology, and altitude, although soil texture,
rockiness, and depth are also necessary components.
Vegetation assessments are a prerequisite for any ecological or habitat related research (Van
Rooyen et al., 1981). Based on vegetation diversity, investigated area can be divided into
three different habitats including sandunal, interdunal sandy and clayey saline habitats.
Sandunal habitat was consisting of medium to high, generally unstabalized shifting dunes
and was highly sandy. At sandunal habitat six browse communities were observed including
the Haloxylon salicornicum, Calligonum polygonoides Leptadenia pyrotechnica (HCL),
Calligonum polygonoides, Haloxylon salicornicum,Crotalaria burhia (CHC), Haloxylon
salicornicum, Calligonum polygonoides, Aerva javanica (HCA), Calligonum polygonoides,
Haloxylon salicornicum, Aerva javanica (CHA), Calligonum polygonoides, Haloxylon
salicornicum Leptadenia pyrotechnica (CHL) and Haloxylon salicornicum, Calligonum
polygonoides, Crotalaria burhia (HCC) (Arshad & Akbar, 2002; Akhter & Arshad, 2006).
84
Interdunal sandy habitat was consisting of small sandy hummocks of sandy loam soil. Eight
browse communities were located at interdunal habitat, consisting of Leptadenia
pyrotechnica, Aerva javanica, Crotalaria burhia (LAC), Crotalaria burhia, Leptadenia
pyrotechnica, Haloxylon salicornicum (CLH), Crotalaria burhia, Aerva javanica, Haloxylon
salicornicum (CAH), Aerva javanica, Crotalaria burhia, Calligonum polygonoides (ACC),
Salsola baryosma, Crotalaria burhia, Haloxylon salicornicum (SCH), Salsola baryosma,
Leptadenia pyrotechnica, Capparis deciduas (SLC), Leptadenia pyrotechnica, Salsola
baryosma, Haloxylon salicornicum (LSH) and Aerva javanica, Salsola baryosma, Calotropis
procera (ASC) (Arshad & Akbar, 2002; Akhter & Arshad, 2006).
Whereas, clayey saline habitat was consisting of plain hard crust of soil called dahar,
impervious to water and remain plant less. It was flattened habitat shape up by the flow of
water through the area or after the removal of upper deposit of fine silt. Whereas at clayey
saline habitat six browse communities were observed including the Haloxylon recurvum,
Suaeda fruticosa, Pulicaria rajputanae (HSP), Suaeda fruticosa, Haloxylon recurvum,
Salsola baryosma (SHS), Suaeda fruticosa, Salsola baryosma, Haloxylon recurvum (SSH),
Haloxylon recurvum, Suaeda fruticosa, Tephrosia uniflora (HST), Haloxylon recurvum,
Suaeda fruticosa, Calotropis procera (HSC) and Suaeda fruticosa, Haloxylon recurvum,
Abutilon muticum (SHA) (Arshad & Akbar, 2002; Akhter & Arshad, 2006).
The species variations in plants from site to site may be due to composition of soil, elevation
of selected sites, nature of disturbances like human interferences, grazing pressure, distance
of study sites from population areas etc. All the factors determine the category of species in
which the species fall (Ahmad et al., 2007). Within Cholistan rangelands, a number of
different soil types and dominant plant species are found (Arshad et al., 2007). Based on
results the most dominant browse species at sandunes were Calligonum polygonoides and
Haloxylon salicornicum. At interdunal habitat Aerva javanica, Salsola baryosma Leptadenia
pyrotechnica and Crotalaria burhia, species were common. Whereas at compact saline
‘dahars’ without any soil cover are dominated by Suaeda fruticosa and Haloxylon recurvum
(Arshad & Akbar, 2002). Similarly, while exploring Cholistan desert Rao et al., (1989)
documented that phytosociological assemblages are indicator of soil types as edaphic factors
effect the vegetation more than other factors.
85
The soil topography and chemical composition are very important in plant distributions.
Association of soil features with vegetation was estimated for defining the most effective
factors responsible in the distribution of vegetation types in Cholistan rangelands. Physio-
chemical analysis of soil showed that soil texture of sandunal habitat was sandy; interdunal
was sandy loam whereas clayey saline habitat was clayey nature. Results revealed that pH,
EC, Na contents, and soil moisture were high at clayey saline communities and minimum at
sandunal areas. In typical saline communities moisture was remained available for longer
period (Arshad & Akber, 2002). These soils are regarded as highly saline with very high
conductivities. Whereas concentration of organic matter, P, K was better at interdunal habitat
which may be due to better vegetation cover at interdunal areas. Overall percentage of
organic matter in soil of Cholistan desert was poor, that obviously indicate the aridity causing
in sparse vegetation cover. Our results were in line with Arshad et al., (2008) who has
studied the vegetation distribution in relation to edaphic factors in Cholistan desert.
To study the vegetation of Cholistan rangelands, much stress was paid on plant communities.
The vegetation of Cholistan desert has not been studied properly until now. No actual
information was existing about the browse communities of Cholistan desert however, our
work corroborate with the work of some earlier researchers in this area (Rao et a1., 1989;
Arshad & Rao, 1995; Arshad et a1., 2002; Arshad & Akbar, 2002). The criterion of
classification used in current research was highly supported by the studies of Kirk-Patrick
(1990), Malik et al., (2007), Iqbal et al., (2008), Hussain et al., (2009) and Rashid et al.,
(2011) who supported the above criteria and has described plant communities of different
areas of the world.
5.2.2: MULTIVARIATE ANLYSIS
Multivariate analysis of data was carried out by using the classification and ordination
techniques. Classification by the means of cluster analysis is most common multivariate
procedure to analyze the vegetation data (Gauch, 1982). According to results, cluster analysis
has classified the twenty stands into three different vegetation clusters. Cluster A was
consisting of sandunal association, cluster B was consisting of interdunal sandy association
and cluster C was consisting of clayey saline association. Generally, these clusters were
representing the three ecological habitats i.e. sandunal, interdunal and clayey saline in
Cholistan rangelands (Arshad & Rao, 1995).
86
Results showed that vegetation diversity was poor at sandunal habitat because soil texture
was sandy and mostly consisted of unstabilized sandunes. Sandunal association was
comprising of six browse communities i.e. Haloxylon salicornicum-Calligonum
polygonoides-Leptadenia pyrotechnica, Calligonum polygonoides-Haloxylon salicornicum-
Crotalaria burhia, Haloxylon salicornicum-Calligonum polygonoides-Aerva javanica,
Calligonum polygonoides-Haloxylon salicornicum-Aerva javanica, Calligonum
polygonoides-Haloxylon salicornicum-Leptadenia pyrotechnica and Haloxylon
salicornicum-Calligonum polygonoides-Crotalaria burhia (Arshad & Akbar, 2002).
Interdunal habitat was consisting of small hummocks of sand and vegetation cover was
better. This association was comprised of eight browse communities i.e. Leptadenia
pyrotechnica-Aerva javanica-Crotalaria burhia, Crotalaria burhia-Leptadenia pyrotechnica-
Haloxylon salicornicum, Crotalaria burhia-Aerva javanica-Haloxylon salicornicum, Aerva
javanica-Crotalaria burhia-Calligonum polygonoides, Salsola baryosma-Crotalaria burhia-
Haloxylon salicornicum, Salsola baryosma-Leptadenia pyrotechnica-Capparis deciduas,
Leptadenia pyrotechnica-Salsola baryosma-Haloxylon salicornicum and Aerva javanica-
Salsola baryosma-Calotropis procera. Whereas clayey saline association was consisting of
six browse communities i.e. Haloxylon recurvum-Suaeda fruticosa-Pulicaria rajputanae,
Suaeda fruticosa-Haloxylon recurvum-Salsola baryosma, Suaeda fruticosa-Salsola
baryosma-Haloxylon recurvum, Haloxylon recurvum-Suaeda fruticosa-Tephrosia uniflora,
Haloxylon recurvum-Suaeda fruticosa-Calotropis procera and Suaeda fruticosa-Haloxylon
recurvum-Abutilon muticum. In this association, vegetation diversity was low due salinity
and poor organic contents in soil (Arshad & Akbar, 2002; Akhter & Arshad, 2006).
The results of cluster analysis were verified by detrended correspondence analysis. DCA of
stands data has produced the similar vegetation groupings along the axis as identified by the
cluster analysis (CA). The three habitats were clearly discernible in ordination diagram along
the two axis. Results showed that group of stands situated to the left of the diagram was
representing the sandunal association and stands situated more to the right of the diagram
were showing with clayey saline association whereas stands in-between them were
representing the interdunal association. The DCA graph has illustrated a gradient along
ordination axes 1 that could be related to high pH, EC, Na, and soil moisture in right side at
clayey saline association (C) and low in left side at sandunal association (A).
87
Subsequently the effect of environmental variables on three vegetation associations was
carried out by canonical correspondence analysis. Ordination technique CCA has described
the overall pattern of plant species and stands distribution based on soil variables. In CCA
biplot the most effective soil variables, which have significant correlation with the
distribution of vegetation associations were organic matter, phosphorus, potassium, electrical
conductivity and sodium. Result showed that interdunal association (B) was strongly
correlated with organic matter, potassium, and phosphorus whereas clayey saline association
(C) was under the strong impact of EC and Na. It was observed that, sandunal association (A)
was located at opposite end of the high EC, Na, pH, and soil moisture, indicating the poor
affect of these environmental variables (Arshad et al., 2008).
Physio-chemical analysis of soil has revealed that concentration of organic matter, potassium
and phosphorus was better at association (B), therefor vegetation was also healthier at
interdunal sandy habitat. However, soil nutrient level was poor both at sandunal (A) and
clayey saline associations, further poor vegetation in these associations was be due to moving
sandunes problem and high salinity level respectively. Overall, this multivariate analysis has
sketched out the vegetation of Cholistan rangelands into three distinct associations; sandunal,
interdunal sandy and clayey saline along with their specific soil features. a b
88
c d
e f
PLATE 5.2: SANDUNAL(a,b) INTERDUNAL SANDY (c,d) AND CLAYEY SALINE (e,f) HABITATS
89
5.3: FORAGE PRODUCTION OF BROWSES
For rangers and biologists, it is essential to have information about biomass production of
rangelands for range management. The best possible use of rangeland resources depends
upon the understanding of amount and dynamics of seasonal biomass productivity as
influenced by climatic conditions. The dry biomass evaluates the community resources fixed
in different species and is one of the top indicators of species importance within plant
community (Gou et al., 1997). The present study is endeavoring to assess the biomass
productivity of browse species in the degrading rangelands of Cholistan desert.
According to our results, the total dry matter production during wet season was 8029.10
kg/ha while in dry season was 5422.90 kg/ha, that was 19.38% higher in wet season.
Whereas dry matter production at sandunal habitat was 21.14% high, at interdunal habitat
was 16.6% high and at clayey saline habitat was 22.62% high in wet season as compare to
dry season. Overall, the forage productivity was high during wet season across the three
range habitats; this was perhaps due to high amount of rainfall received during wet season as
compared to dry season. Annual rainfall in Cholistan desert is extremely unpredictable both
on temporal and spatial scales. Rainfall generally occurs during monsoon (July to September)
and in winter and spring (January to March). The winter rain is scanty so vegetation in spring
is usually poor, characterized by few annual species of forbs and grasses providing low
biomass for grazing (Akhtar & Arshad, 2006).
In arid and semi arid ecosystems, rainfall is a major environmental agent, affecting the forage
productivity and it is extremely variable all through and between the years. It was concluded
that Cholistan rangelands are monsoonal and forage productivity of these rangelands depends
greatly on monsoon rains (Akhtar & Arshad, 2006). Frost & Smith, (1991) has reported that
based on evidences, we assumed that productivity of rangeland in arid and semi arid areas is
determined mostly by site characteristics (precipitation, soil, topography) which influence the
most important limiting factor, moisture. Similarly, Fischer & Turner (1978) also observed
that precipitation, rather than vegetation composition, was the main determinant of biomass
productivity in semiarid areas. Various studies (Farooq, 2003; Durrani & Hussain, 2005)
have also revealed that the quantity of rainfall greatly affects the rangelands production and
our conclusions agree with them.
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The natural rangelands of arid and semi-arid areas are mainly composed of perennial plants
species, which make the excellent use of climate and soil (Salem & Palmberg, 1985). Based
on results, it was observed that in both seasons dry forage production was high at interdunal
habitat followed by sandunal and clayey saline habitat. This might be due to high vegetation
diversity and better water retention capacity of soil at interdunal habitat. Vegetation coverage
was low on sand dunes and unstable sand dunes were lacking of any vegetation. Whereas in
clayey saline habitat soil and vegetation structure was very poor, might be due to high pH.
Being very saline and impermeable to rain water the clayey saline habitat called ‘dahars’
remained predominately plant less. It was observed that poor soil with less water holding
capacity, little organic matter, and low nutrients in Cholistan range decrease the vigour and
size of plants leading to reduced biomass productivity (Akhtar & Arshad, 2006).
Generally, the great variations in the productivity levels in different range sites are due to
variations in soil, climate, vegetative types, and grazing pressure. Results showed that range
sites with high forage productivity were less disturbed by grazing while the sites with
minimum forage productivity were mostly overgrazed. It was observed that aboveground
total biomass productivity decreased significantly with increasing grazing pressure. As
change in grazing intensity and selectivity will necessarily change the biodiversity;
overgrazing and under grazing both have adverse effects, but overgrazing by animals is
increasingly problematical. Ultimately overgrazing leads to the retrogression and loss of
biodiversity (Khan, 1994).
In study area during wet season maximum range sites were observed to be moderately grazed
followed by overgrazed then slightly grazed sites. While in dry season, maximum range sites
were observed to be overgrazed. There were no sites without grazing in both seasons. In
Cholistan rangelands, grazing period starts from August until the February in good rainy
years. About all the herbaceous forage is exploited during monsoon and post monsoon
season, whereas some green browse remained available throughout the year. The
commencement and distribution of monsoon showers mostly state the pattern of movement
in nomadic peoples and livestock. At the months of March or April, shortage of water and
feed resources in interior of desert compel nomadic peoples and their herds to move towards
irrigated plains (Akhtar & Arshad, 2006). Therefore, in dry season forage, productivity was
poor and most of study sites were observed to be overgrazed.
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This study has provided the baseline about seasonal forgare productivity and grazing status
of cholistan rangelands. Overall, very little information was available about forage
productivity of rangelands in Pakistan. Recorded browse productivity was poor when
compare to the work of Malik, (2004) in rangelands of Azad Kashmir and Hussain & Durani
(2007) in rangelands of kallat. The present study revealed that study area was vegetative rich
in wet season as compare to dry season. Perennial browse species were found playing a
significant role in the provision of forage production round the year. Browses can be an
important component of livestock feed round the year, but particularly important during the
droughts. In Cholistan rangelands, most of perennial species exhibited their greatest
vegetative activity during monsoon and spring and they were less active or dormant during
summer and winter. However, some browse species were active throughout the year. These
type of browse species played significant role in the sustainable production of natural forage.
a b
PLATE 5.3: VEGETATION STRUCTURE IN DRY (a) AND WET SEASON (b)
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5.4: RANGE CARRYING CAPACITY
Carrying capacity or grazing capacity are normally considered synonymous and are
explained by ecologists in several ways. Holechek et al., (1996) has defined the carrying
capacity as maximum possible stocking rate year after year without causing damage to
vegetation and other related resources. Assessment of carrying capacity is an important
element of rangeland inventory and monitoring program because it is basic managing tool to
ensure sustainability of natural resources (Bedunah, 2005).
Carrying capacity is a basic component of rangeland evaluation, because it connects the
forage supply and demand. According to our results, in Cholistan rangelands, overall browse
productively was poor whereas browse production was high in wet season as compare to dry
season. As grazing animals in Cholistan rangelands comprised of cattle, sheep, goats, and
camels therefore, carrying capacity was calculated for these kinds of livestock only.
Holechek (1988) has determined the daily dry matter (DM) intake for bighorn sheep, elk,
moose, white-tailed deer, mule deer, and pronghorn antelopes as two percent of their body
weight. As DM intake for the livestock of Cholistan rangelands has not been analyzed yet,
thus DM intake for these animals was also taken as two percent of their live-body weight.
Based on evidences of livestock producers of the area, a young cow (equal to one AU) may
attain average live-body weight of about 350 kg whereas DM requirement of an AU was
calculated as 7 kg haP
-1P.
It has been reported that intake of forage in grazing livestock differs with body weight,
forage availability and quantity. Grazing time depends on availability of total forage,
accessibility of plant parts, and quality of consumed feed. Grazing time is reduced when
good quality of forage is plentiful (Nyamangara & Ndlova, 1995). Based on USA
recommendations, range utilization intensity is 30 to 40% of key species with 130 to 300 mm
annual rainfall for shrub steppe in semiarid region (Holechek, 1988). It may reach at 50%
utilization level during high productive year and decrease during dry period. In the arid
rangelands of Cholistan, range use intensity was taken as 40%. Overall, available browse
production during wet season was 157.97 kg/ha and 105.88 kg/ha during dry season. Based
on these standards; overall carrying capacity during wet season was 16 ha/AU/Y and in dry
season was 24 ha/AU/Y. whereas on the availability of browse forage in wet season 80376
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AU/Y were estimated while in dry season 53872 AU/Y were estimated that can be grazed in
Cholistan rangelands.
On the account of three range habitats in Cholistan desert, carrying capacity was high at
interdunal habitat followed by sandunal and clayey saline habitats during both seasons. Over
all forage production was better in wet season due to high rainfall in monsoon (July to
September) as compare to dry season (April to June). Therefore, carrying capacity was high
in wet season as compare to dry season in Cholistan rangelands. The data suggested that
overall carrying capacity of Cholistan rangelands during both seasons was very low and
available browse production was insufficient for present stocking rate. Therefore, rangelands
of Cholistan were degrading due to overgrazing and because of continuous grazing, the
palatable species are disappearing at an alarming rate and comparatively unpalatable species
are spreading the landscape (Akhter & Arshad, 2006).
Appropriate stocking distribution is one of the major goals of all grazing systems (BCMF,
2002). It has been observed that overgrazing not only results in the compaction of soil, but
also decrease the palatable species cover. Main factors influencing the livestock nutritional
status include type of animals, stocking rate, type of forage species, grazing system and
season of usage (Holechek et al., 1998). Hussain & Chughtai (1984) have reported that non-
palatable species have become dominant due to overgrazing in Quetta. Similar, observations
has reported in Ganga Chotti and Bedori hills by Malik (2005). Over grazing and over-
exploitation of palatable resources by local inhabitant has caused degradation in South
Wiziristan (Hussain & Badshah, 1998). Likewise, nomadic peoples in Cholistan desert have
also exploited the natural resources of this area. They uprooted almost every plant for their
need irrespective of its forage, medicinal or other values. Therefore, forage productivity is
decreasing day by day ultimately leading to poor carrying capacity of this area.
Little information was found regarding carrying capacity of Cholistan rangelands and it was
concluded that this information was not found in past, but on limited basis. Several other
studies were observed on carrying capacity of rangelands in Pakistan. A carrying capacity of
1.27 AU/ha (AU stands for Animal Unit) was recorded during summer growing season when
the forage biomass was at its peak in Pir chinasi rangelands (Malik, 2007). Afzal et al.,
(2007) has assessed carrying capacity of Pabbi Hills Kharian range as 12 ha/AU/Y. Sana-ul-
haq et al., 2011 has determined the winter season carrying capacity as 2.41 ha/AU/4month of
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sub-tropical, sub humid rangelands of Dhrabi watershed, Pakistan. There is no doubt that the
Cholistan rangelands are dominated by non-equilibrium conditions. There is a great
inconsistency in forage productivity both spatially and temporally where estimates of
carrying capacity should be used as more of an abstraction rather than a set number. In these
environments, droughts will always be an important factor in affecting production levels and
animal numbers. Whereas, in order to decide grazing prescriptions resource managers need to
be able to define the variation in productivity levels and provide estimates of stocking rates
for different vegetation types.
5.5: PALATABILITY CLASSIFICATION OF BROWSES
The Cholistan rangelands are monsoonal and forage productivity of these rangelands depends
greatly on monsoon rains (frequency, amount, & time). The rain in winter season is very
sparse thus; vegetation in spring is normally meager, characterized by few species of annual
grasses and herbs providing very poor biomass for grazing animals. The grazing season in
Cholistan desert is characterized by onset of monsoon rains (July to September) and end at
the months of March or April with the shortage of feed and water in desert (Akbar et al.,
1996). Availability of forage species with respect to season depends upon phenological
stages, which in turn depend upon climate conditions. Results showed that these perennial
browses including the 07 species of trees and 18 species of shrubs were almost remained
available throughout the year.
As rangelands vegetation varied significantly in their seasonal availability, nutritive value,
productivity and palatability, so grazing animals apparently select the highly palatable forage
species first (Hussain & Durrani, 2009b). According to our results, it has been observed that
out of total recorded browse species, 88% species were palatable and 12% species were
unpalatable. In the investigated area maximum browse species were found moderately
palatable. Seven species were found to be highly palatable which consist of 5 species of trees
including Acacia nilotica, Prosopis cineraria, Zizyphus mauritiana, Zizyphus spina Christi,
Salvadora oleoides and 2 species of shrubs Acacia jacquemontii, Zizyphus nummularia.
Among palatable species, mostly the trees were highly palatable and maximum species of
shrubs were found to be moderately palatable.
Whereas, three browse species were found to be unpalatable which consist of only shrubs
including Aerva javanica, Aerva pseudotomentosa and Leptadenia pyrotechnica. This
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unpalatability might be due to alkaloids, phenolics, saponins and other poisonous elements in
feed of grazing animals (Kayani et al., 2007). It is very difficult to differentiate between non-
poisonous and poisonous plants as animals dislike feed due to unlikable feelings or physical
discomfort, produced by toxins, or by excess or deficiency of nutrients. This condition
becomes apparent when grazing livestock take no interest even for preferred food or when
presented substitutes (Provenza, 1995).
Animals greatly differ in their preferences for selection of various plant species or plant parts
as feed. The selectivity of forages by grazing animals as feed mainly depends upon the type
and amount of herbage availability (Hussain & Durrani, 2009b). Results showed that
maximum trees were used for their leaves, whereas maximum shrubs were preferred for their
shoot. It showed that leaves have been grazed in maximum browse species (63.64%), as feed
by grazing animals. The livestock usually prefer the leaves of all forages, might be due to
high crude protein, phosphorus and low lignin and fiber contents than woody parts.
Generally, animals desire fresh foliages than dried and non succulent forages that can be
eaten easily. Likewise, soft green herbaceous parts, in addition having good taste and odour
are rapidly digestible (Durrani, 2000).
It has been observed that Acacia nilotica, Prosopis cineraria, and Prosopis juliflora are
preferred for their fruits by livestock. Pfister & Malecheck, (1986) has reported that flowers
and fruits are seasonally essential in animal feed as they might have high level of proteins
and cell soluble than leaves. Similarly, in shrubs vegetative buds are mostly high in crude
protein and cell soluble (Holechek et al., 1998). Fresh forage species with high contents of
crude protein, sugar, cellulose and fats are highly preferred and digestible. While plant
species with high lignin, fiber, silica, secondary metabolites and with poor digestibility are
less preferred by grazing animals (Vallentine, 1990). Our results were in line with Hussain &
Mustafa (1995) who has observed the preference of floral and fruiting parts by animals in the
pastures of Nasirabad valley, Hunza.
Rangelands of Cholistan desert are freely grazed by mixed herds of cattle, sheep, goats and
camels. According to our results, camel ranked first in exploring maximum number of
species, which consist of 07 species of trees, 13 species of shrubs. Goat and sheep were
observed to have similar selection, which consisted of 06 species of trees and 04 species of
shrubs. Cattle were observed to utilize minimum number of species including 05 species of
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trees and 02 species of shrubs. It was observed that grazing animals select the most palatable
plant species first. It may lead to complete replacement of good quality forages by non-
palatable species. Livestock pass more time for grazing in forage deficient rangelands.
Animals face forage deficiency in Cholistan rangeland in winter (December & January) due
to dormant season but this condition become more severe in April owing to decline of overall
vegetation due to climatic extremities and shortage of water (Akbar et al., 1996). Certain
species of trees and shrubs that maintain their foliage during the winter may continue to be
palatable. Mostly the deficiency of forage forces the animals to eat harmful amount of even
toxic plants (Hussain & Durrani, 2009b). It may be possible that poor health and death loses
of animals in Cholistan rangelands are partially due to continuous utilization of such
poisonous plant species.
It was observed that in Cholistan rangelands maximum forage was available during monsoon
season because sustainability of life in this desert rotates round the annual precipitation.
Numerous species of ephemeral and annual appear after rains, complete their life cycle in a
short duration and vanish (Akhter & Arshad, 2006). These species, as well important in
nutritional contribution also decrease grazing pressure on palatable perennial species. It was
noted that, animals grazed the vegetation as soon as it was produced. A few species growing
within the thicket of spiny or obnoxious plants might escape grazing and reach maturity. A
very little information was available about palatability, seasonal availability, and animal
preferences of forage plants of Cholistan rangelands. However, our results were almost in
line with Arshad et al., (2001) who has studied the sustainability pattern of livestock in
Cholistan desert.
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a. Camel b. Cattle
c. Goat d. Sheep
PLATE 5.4: TYPES OF GRAZING LIVESTOCK IN CHOLISTAN RANGELANDS (a, b, c, d)
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5.6: NUTRITIONAL EVALUATION OF BROWSES 5.6.1: PROXIMATE COMPOSITION
Our data was first report about the chemical composition of browse species in the arid
rangelands of Cholistan desert. The chemical analysis of range browses serves as a relative
measure of differences between the selected species. The comparison of ten major browse
species of Cholistan rangelands showed that there were significant differences in nutrients
among investigated species.
In forages, dry matter (DM) is considered to be the actual amount of feed stuff after
removing water, volatile acids and bases if they are present (Azim et al., 2011). The results
revealed that DM contents were high in browse species, which may be determined by late
stage of maturity of foliage’s at the time of sampling as DM is found to increase with
maturity of forages (Sanon et al., 2008). In this study high DM contents could be due to the
time of sampling in spring season (March) after 5-6 months of fresh growth of plant species
in monsoon because in Cholistan desert, maximum plant growth has been observed during
monsoon (July to September). It indicates that browse species of this area serves as an
essential and consistent source of DM, along other nutrients for feeding the livestock of
Cholistan. The contents of DM in this study had almost similar ranges as those stated
previously (Towhidi, 2007; Towhidi & Zhandi, 2007; Njidda & Ikhimioya, 2010; Foguekem
et al., 2011).
Crude protein (CP) mainly includes all nitrogenous compounds present in forages and
considered as reliable source of overall nutritional status of animal feed (Ganskopp &
Bohnert, 2001). Crude protein below 6-7% causes low production of milk, meat, and wool.
It also disturbs the reproduction process in animals. Deficiency of crude protein may also
reduce microbial activity in the rumen of animals due to poor availability of nitrogen (Bose
& Balakrishnan, 2001). The concentration of CP in browse species was higher than minimum
level of 7-8%, essential for optimum feed intake and function of rumen in grazing animals
(Van Soest, 1994). This high level of CP signifies their high nutritive value; therefore,
browses can be used as protein supplements for poor quality pastures (Osuga et al., 2005).
The animal feeds with less than 6% CP are not likely to provide the minimum level of
ammonia that is required for maximum microbial growth in rumen (Norton, 1994).
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Based on level of CP suggested for the maintenance of several wild and domestic herbivores
by Schwartz et al., (1977) and NRC, (1978; 1984) 7.5% CP was established as satisfactory
forage quality threshold (Ganskopp & Bohnert, 2001). According to results, contents of CP
in browse species were higher than 8%, which were sufficient for medium level of
production in ruminants. Therefore, these browses could be a good quality protein
supplements if they were properly degraded and were non-toxic to the microbes of rumen
and host animal. The concentration of CP was found almost consistent with previous studies
eg., Arzani et al., (2006) Towhidi, (2007) and Mahala, et al., (2009). The CP range in present
study was slightly higher than what had been stated for range forages in earlier studies
(Towhidi & Zhandi, 2007; Foguekem et al., 2011) and was little lower than the range
presented by Melaku et al., (2010) Njidda & Ikhimioya, (2010) and Azim et al., (2011).
These variations in contents of CP in browses may be due to time of sampling because same
species varying in CP level by about 30 to 40% when harvested at different times of the year
(Wood et al., 1994).
Ether is like a group of substances, insoluble in organic compounds and water. They act as
storehouse of energy and refer as lipids (Verma, 2006). Ether extract (EE) is a component of
lipid and animals mainly derive their energy from it for their body production and
maintenance. The high contents of EE in feed samples are a sign of higher energy level for
the animals (Odedire & Babayemi, 2008). According to our results, maximum value of EE
was observed as 03.44% (Suaeda fruticosa) and minimum 01.03% (Haloxylon salicornicum).
Our findings were almost comparable with work of Santra et al., (2008) and Mahala, et al.,
(2009). The results were showing little high values of EE as determined previously (Towhidi
& Zhandi, 2007; Towhidi 2007) but slightly lower than Njidda & Ikhimioya, (2010) and
Azim et al., (2011).
In this study, mean concentration of crude fiber (CF) was 24.36%, which varied from 13.45
to 33.45% among browse species. These results were showing slightly lower contents of CF
as determined previously by Towhidi & Zhandi, (2007). However, these results were almost
in line with Abu-Zanat, (2005) and Azim et al., (2011). Ash represents the mineral level in
animal feed, which is mostly consisting of calcium, phosphorus, potassium and large amount
of silica (Verma, 2006). According to our results, concentration of ash was ranging from
08.24 to 18.60% with mean value 13.44%. Different researchers have determined the
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different ratios of ash in different plant species between 07.60 and 22.20% (Tan & Yolcu,
2001). Our results were in this limit and can be compared with some previous studies
(Mahala, et al., 2009; Njidda & Ikhimioya, 2010; Sultan et al., 2010). However, our results
were slightly higher than the results of Nasrullah et al., (2003), Melaku et al., (2010) and
Azim et al., (2011).
Similarly, in this study mean concentration of nitrogen free extract (NFE) was calculated as
48.79% ranging from 34.98 to 56.75%. This range was almost in agreement with those
reported by Okoli et al., (2003) Abu-Zanat, (2005) and Azim et al., (2011). Our results
showed that browses were of paramount importance for rangelands management in Cholistan
desert. The proximate composition of browse species did not vary much from values
published in previous literature. The slight variations in chemical composition of browse
species among different studies could be attributed to plant variety, agro climatic conditions,
or even growth stages of plants at sampling and sampling procedures (Bamikole et al., 2004).
It was decided that the browse species investigated in present study could be a good source of
DM and protein.
5.6.2: STRUCTURAL COMPOSITION
Neutral detergent fiber (NDF) is an important determinant of forage quality and digestibility,
and it directly affects the performance of an animal. The high concentration of NDF lower
the neutral detergent soluble which mostly consisting of starches, sugar, fat, CP. El Shaer &
Gihad, (1994) has reported that contents of NDF can range from 35-40% which is
considered as the normal range of nutritious fodder. Results revealed that concentration of
neutral detergent fiber (NDF) present in browses was ranged from 29.33 to 44.00%. Browse
species investigated in current study consisted below 45% NDF on DM basis and this render
them as good quality roughages, because fibrous feed with less than 45% NDF have been
classified as good quality feed (Singh & Oosting, 1992). High contents of NDF in Prosopis
cineraria and Acacia nilotica as compare to others may have low DM intake because high
contents of NDF lower the feed intake rate in animals (Mc Donald et al., 2002). Our findings
were very close to the results of Melaku et al., (2010) and Shimelse, (2010) who has studied
the chemical composition of browse species in Ethiopia.
The results showed that concentration of acid detergent fiber (ADF) in selected browse
species was ranged from 12.33 to 33.67%. Melaku et al., (2010) and Shimelse, (2010), has
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reported almost similar ranges. It was observed that Calligonum polygonoides, which has
higher content of ADF may have poor digestibility, since it has been reported that
digestibility of feed and ADF contents are negatively correlated (Mc Donald et al., 2002). In
all the investigated species, except for Haloxylon recurvum, Haloxylon salicornicum and
Calotropis procera the ADF was a large part of NDF fraction that showed high content of
cellulose and lignin and low content of hemicellulose. In this study, hemicellulose was
ranging from 10.00 to 21.67% with the mean value 16.70%. Highest contents of
hemicellulose were observed in Haloxylon salicornicum (21.67 %) and lowest in Calligonum
polygonoides (10.00%). Our results were almost in line with Nasrullah et al., (2003) and
Foguekem et al., (2011) who has evaluated the nutritional status of various forage plants.
Lignin is a cell wall component and formed as part of cell wall thickening process (Boudet,
1998). Results revealed that mean concentration of lignin in browses was 07.22% that was
varying from 05.40 to 09.87%. Shimelse, (2010) has determined the range of ADL in browse
species from 4.3 to 15.9%. Our results were almost in line with this range and with previous
studies (Santra et al., 2008; Melaku et al., 2010). However, from a nutritional point of view,
it is remarkable that lignin value is kept low in order to avoid jeopardizing the digestibility of
other nutrients. Different studies have reported a negative correlation between lignin contents
and cell wall digestibility because lignin acts as a physical barrier in the functioning of
microbial enzymes (Moore & Jung, 2001). According to our results, the differences in
structural constituents among selected browse species could be attributed to facts that these
species were different, and even growing in similar environmental conditions, they may have
different chemical composition, a result of genetic diversity of species (Van Soest, 1965).
5.6.3: MINERAL COMPOSITION
According to results the concentration of macro minerals (P, K, Na, Ca, Mg) and micro
minerals (Mn, Cu, Zn, Fe) were varying significantly (p<0.05) among selected browses from
Cholistan rangelands. Phosphorus (P) has been called as “master mineral” since it is
concerned in most metabolic processes (Rasby et al., 1998). P is also vital for strengthening
of skeleton, improving blood plasma, teeth, carbohydrates assimilation, and activation of
enzymes. Deficiency of P has been observed to cause the poor growth of livestock (Holechek
et al., 1998). The recommended range of P for all classes of ruminants as suggested by
National Research Council (1984) was 0.12 to 0.48%. Sheep and goats require a minimum
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level of phosphorous from 0.16 to 0.37% of DM (Anon., 1985). In this study P concentration
in browse species was also lower than minimum requirement (0.082%) of livestock (Anon.,
1975). This agrees with the results of Inam ur Rahim (1999), Akhtar el al., (2007) and Sultan
et al., (2009) who has observed P deficiency in various forages.
Forages from savanna and semi desert areas have been described as deficient in P due to low
concentration of P in soil. Deficiency of phosphorus becomes apparent in animals when
forages are poor in P and high in Ca (Minson, 1990a). According to Wilson (1969), trees and
shrubs in such areas with poor or intermittent rainfall have been found to be deficient in P.
On worldwide basis, P may be considered as most widespread mineral deficiency among
grazing livestock (Underwood, 1981).
According to National Research Council (1984), the recommended range of potassium (K)
for all classes of ruminants was 0.5-1.0%. The critical level of K was 0.60% as recommended
by the NRC (1996) and 0.80% by McDowell et al., (1984). Results showed that
concentration of K in browses was lower than these recommended ranges. It has been
reported that maximum level of K that can be tolerated is 3% of DM (NRC, 1980). Increase
in concentration of K from 0.7 to 3% in feed linearly reduced the energy and weight gain in
lambs (NRC, 1985). The contents of K are mainly affected by maturity of forage species.
Young actively growing forage may have excess of K, ranging from 4-5%, whereas mature
forages are found to have less than 0.4-0.5% K (McDowell, 2003). Our results were almost
in line with Ramırez-Orduna et al., (2005) and Ghazanfar et al., (2011).
In certain areas of world, it can be possible that deficiency of K occur, in view of increase in
forage maturity may lower the concentration of this element (McDowell & Valle, 2000).
Khan (2003) had confirmed the deficiency of K for ruminants in grazing forages solely in
Pakistan. The major cause for extensive K deficiency, even though forages consist of K
lower than requirements, may be due to the deficiency of other nutrients (McDowell & Valle,
2000). Kinzel (1983) had observed that increase in supply of lime with low availability of K
cause to decrease intake of K from soil, leading to considerable variation in plant growth.
The variation in concentration of K might be associated to availability of water, as absorption
of K by root is related to soil moisture (Charley, 1977). Therefore, in our study, poor soil
moisture, high Na contents, and drought conditions may be the reason of low concentration K
among browses of Cholistan desert. Similar, findings were reported by Barnes et al., (1990),
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Ramırez et al., (2001) and Moya-Rodriguez et al., (2002) who had studied the K in browses
from arid and semiarid areas of world.
Sodium (Na) is an important element in order to determine the adequacy of minerals in
animal feed. It has been reported that animals have an important ability to preserve Na
contents but prolong deficiencies can cause weight loss or the loss of appetite, decreased
growth and reduced milking (McDowell & Valle, 2000). Results revealed that Na was
considerably varying among the browse species from 0.22 to 1.82%. Our results were
showing higher contents than the critical value of Na 0.06% DM (NRC, 1985). Overall, the
recommended range of Na element, for all classes of ruminants, as suggested by National
Research Council (1984) was 0.06 to 0.18%.
Among all the investigated browse species, sodium level was significantly high in Suaeda
fruticosa and Haloxylon recurvum because these species were halophytes and abundance of
sodium make them suitable to an environment so hostile such as desert (Laudadio et al.,
2008). Ramırez-Orduna et al., (2005) has reported that concentration of sodium tends to
increase with the decrease in rainfall. Plants in desert conditions may accumulate Na contents
in order to relieve water and saline stress. As soil becomes dry, the concentration of salts start
to increase in soil and osmotic potential turns to be more negative. In saline environment,
NaCl is very important for osmotic adjustment; but absorption of salts by plants may increase
the chances of potential Na toxicity (Salisbury & Ross, 1994; Miller & Doescher, 1995). The
higher values of Na were in contrary to previous studies that have observed deficiency of Na
in shrubs and trees growing in arid regions (Khanal & Subba, 2001; Moya et al., 2002;
Ghazanfar et al., 2011). However, our findings were in agreement with Ramırez-Orduna et
al., (2005) and Aganga & Mesho, (2008) who has investigated the mineral contents in
various browses.
According to National Research Council (1984), the recommended range of Ca, for all
classes of ruminants was 0.19 to 0.82%. While Minson (1990a) has reported that level of Ca
ranged from 0.31 to 1.98% with the mean value 0.63%. However, ruminants can tolerate Ca
level up to 2% of diet on DM basis (NRC, 1985). It has been reported that Ca contents more
than 1% decrease the DM intake and excess of Ca can upset the absorption of trace minerals
especially Zn (NRC, 2001). In order to fulfill the maintenance and production requirements
of livestock, Ca level in their diet should remain within the range of 0.17 to 0.42% (Anon.,
104
1975). According to our results, the mean contents of Ca in 50% browses were high than
critical value 0.30% of DM for different classes of ruminants (NRC, 1984).
The need of Ca in grazing animals is an issue of considerable debate, because requirement of
Ca is influenced by type of animal, age and level of their production (Khan et al., 2007). If
the diet of animal is poor in Ca, then deficiency of Ca may appear in the form of broken
bones, convulsions, and death of animal. The area under study is sandveld, of which soil has
poor texture and does not hold sufficient nutrients hence browses has low level of nutrients
(Aganga & Mesho, 2008). The calcium concentration in the selected browse species was
high than the level of phosphorus. Ibeawuchi et al., (2002) reported high-level of Ca than that
of P, but findings of Okoli et al., (2001) contradict this view. Our findings were very close to
Vercoe (1987) and Ghazanfar et al., (2011) who has investigated Ca in various foliage’s.
However, our results were not in line with Ahamefule et al., (2006) Aganga & Mesho,
(2008) Sultan et al., (2010).
Green plants are remarkable source of magnesium (Mg) for animals because of its presence
in chlorophyll (Wilkinson et al., 1990). The highest level of Mg in forages was observed in
early vegetative stage. The recommended requirements of Mg were 0.12-0.20% DM in the
feed of ruminants (NRC, 1985) and according to Ensminger & Olantine (1987) Mg
requirements range from 0.90 to 0.21%. Our findings were lower than the recommended
range and required level (0.12-0.18% of diet DM) of Mg for sheep (NRC, 1985). These
browses were remained fail to meet the minimum requirement of Mg for lambs (0.8-1.5%
DM), lactating sheep and goats (0.9-1.8% DM) and lactating cows (1.2-2.1% DM).
The deficiency of Mg was most common on sandy, acidic soils (Sultan et al., 2008). The
proportions of Mg and Ca in soil not only affect the uptake of Mg in plants, but also affect
the concentration of other cat-ions and pH of soil (Skerman & Riveros, 1990). Dua & Care,
(1995) has been reported that dietary requirement of Mg in livestock is markedly influenced
by other nutrients in diet, mainly K. High concentration of N and K in animal diet will
decrease the absorption of Mg from rumen. Whereas the increase in the contents of P in
animals feed causes to decrease the requirements of both Ca and Mg (Judson & McFarlane,
1998). Our results were in line with Ayan et al., (2006) and Sultan et al., (2009) who have
analyzed the minerals of various forages whereas our results were not in agreement with
Aganga & Mesho, (2008).
105
Manganese (Mn) is considered the least toxic to mammals among the trace elements (Sher et
al., (2011). It has been observed that wide variation in the concentration of Mn occurs
between and within plant species (Ramirez et al., 2001). The recommended range of Mn is
18 to 36 ppm, as suggested by the Anonymous (1985) and 20 to 50 ppm as reported by
Ensminger & Olantine (1987). Our results remained fail to fulfill the recommended
requirements of Mn. The maximum Mn contents in the diets of various livestock forms has
been recommended as 1000 mg/kg (Anon., 1984) but in this investigation the level of Mn has
been found below this tolerable range. The mean values of Mn in the browse species were in
the range of Minson (1990b), who has reported that the contents of Mn in pastures can range
from 01 to 2670 ppm.
It has been reported that Mn deficiency causes the impaired growth, skeletal, and infant
abnormalities in livestock (Hussain & Durrani, 2008). Among trace elements, Mn is second
most abundant element next to ferrous on earth; however, availability of Mn is decreased by
draining of soil. Georgievskii (1982) has described that increase in soil pH above 6.0 causes
to decrease the availability of Mn. Low level of Mn contents in forages generally occur only
on neutral or alkaline soils (Minson, 1990a). It has been observed that lower level in the
evaluated browses may be due to high pH of soil and impact of interference with other
elements. Our results are almost in range with Aganga & Mesho, (2008) who has
investigated minerals in various browses but showing some variations from previous studies
of Towhidi, (2007), Sultan et al., (2010), and Sher et al., (2011).
Copper (Cu) is essential because, along with iron it is required for maturation of red cells. It
is also vital in the formation of bones and act as key component of several enzymes in plants
(Curtis & Barnes, 2000). The copper deficiencies are different in different species and
problem of anemia is common along with abnormalities of bones and depressed growth (Sher
et al., 2011). Ensminger & Olantine (1987) has reported that requirement of Cu in ruminants
can vary from 06 to 12 ppm. The Cu level in this report was lower than recommended Cu in
the diet of ruminants (7.0-11.0 mg/kg DM) for common physiological functions and
maintenance (NRC, 2001).
According to McDowell et al., (1983) the Cu contents are inversely related to increase in
plant maturity which may be one of the main causes of low levels of Cu in forage. Cu decline
with maturity in forage species and are high in leaf parts as compare to stem (McDowell,
106
1996). Minson (1990b) reported that Cu values for pastures could vary from 2.50 to 13.90
ppm. In pastures, forages had low contents of Cu than minimum suggested requirements, for
various production purposes in ruminants (Spears, 2003). With the exclusion of P, Cu is most
common mineral deficiency for ruminants in world (McDowell, 2003). Low level of Cu in
plants might be due to high level of pH in soil (Spears, 1994). Furthermore, increase in pH of
soils may perhaps elevate the uptake of Se and Mo, and excess of Mo could seriously
increase deficiency of Cu (Spears, 1994). Akhtar et al., (2007) and Sher et al., (2011) has
stated the deficiency of Cu in forage plants of Pakistan.
Zn is also an essential element for the activation of many enzymes (Sher et al., 2011). In this
study, the contents of Zn were lower in all the analyzed browses than the reported range of
pastures (Minson, 1990b) and optimum value reported by Minson (l990a). Minson (1990a)
stated that the amount of Zn in forages varied from 7.0 to 100.0 ppm in the DM with mean
concentration of 36.0 ppm. It has been recommended that critical dietary point of Zn is 30
mg/kg; however, it has been observed that contents of 12-20 mg/kg are sufficient for growing
of ruminants (Anon., 1980). Our results were showing the lower level of Zn than the
recommended ones and investigated browses were found to be deficient with Zn.
It was reported that Zinc deficiency could cause parakeratosis (inflamed skin around mouth
and nose), stiffness of joints, breaks in skin around the hoof and retarded growth (Ganskopp
& Bohnert, 2003). Deficiency of Zn also causes the sterility, anemia or immune system
problems in animals (Hidiroglu & Knipfell, 1984). Absence of sexual maturation and
dwarfism are main symptoms in case of severe Zn deficiency (Sher et al., 2011).
Deficiencies of Zn could be improved through supplementation of this terrace element. In
recent years, deficiency of Zn in grazing animals has been observed in number of tropical
countries where Zn was less than recommended values in diet (McDowell et al., 1984). Sher
et al., (2011) has also reported the deficiency of Zn in forages from Pakistan rangelands. Our
results were almost in agreement with Aganga and Mesho, (2008) who has investigated the
minerals in various browse species.
Iron (Fe) is a vital component of haemoglobin, blood pigment, muscle protein, myoglobbulin
and several other enzymes. The deficiency of Fe can cause anemia and decrease in the
resistance to various diseases. Very high concentration of iron may cause nutritional
problems in animals by lowering the absorption of phosphate (Sher et al., 2011). McDowell
107
(1992) has reported that the normal requirement of iron can range from 30-60 ppm DM for
ruminants. The dietary requirement of Fe in goats and sheep lies within 30 to 50 ppm (Anon.,
1985). It has been observed that maximum tolerable level of Fe in forages is about 1000 mg
kgP
-1P and is the least toxic of all the essential trace elements for livestock (McDowell &
Arthington, 2005).
The investigated species had lower level of Fe than the critical levels in animal tissues (30-50
mg kg-1 DM). Differences of Fe content between our findings and literature could be partly
explained by type of forage species, Fe content in soil, nature, and type of soil on which these
forages are growing (McDowell, 1992). The change in the conditions of soil and climate as
well as physiological status of plants species may affects the absorption of iron in plants
(Kabata-Pendiaus & Pendias, 1992). Our findings are in line with previous studies of
Towhidi & Zhandi (2007) who has studied the chemical composition of various plant species
in Iran. Sher et al., (2011) has also reported the deficiency of Fe contents (1.819 to 12 ppm)
in forage from Pakistan rangelands. Our study may not support the findings of some earlier
reports, for example Mountousis et al., (2008) and Shamat et al., (2009).
However, differences in the concentration of minerals in present study with those in the
previous literature could be partly described by variations between forage species, minerals
level in soil, influences of climate and locality, growth stages, fractions of leaf and stem for
analysis, and season when forage sampling was carried. The concentration of almost all the
minerals (micro and macro) except Na among selected browses was less than required level
for ruminants grazing therein. The area under study was sandy and by the nature of soil type,
the browse plants have low levels of both major and minor minerals. As a result, grazing
animals in the area cannot obtain sufficient minerals from indigenous plants especially during
dry season.
108
a b
c d
PLATE 5.5: NOMADIC HERDERS OF CHOLISTAN RANGELANDS (a, b, c, d)
109
UCONCLUSION AND MANAGEMENT STRATEGY_ _________ CHAPTER 6
6.1: GENERAL CONCLUSIONS
This research project was being planned to carry out a comprehensive, scientific baseline
study to determine the productivity potential of browses in Cholistan rangelands. Knowing
the current status of browse resources will help in planning the remedy measures to conserve
this ecosystem. The following general conclusions could be drawn from the results of present
study;
1. According to the floristic inventory, total 25 browse species belonging to 17 genera and 12
families were identified from the arid rangelands of Cholistan desert. The recorded species
were composed of 07 species of trees and 18 species of shrubs. Based on life span and life
form, all the identified species were found as perennials and phanerophytes respectively.
Abundance of browses showed that out of total, 10 species were found to be very common,
08 species were common, and 07 species were rare in the investigated rangelands. Family
importance index showed that Chenopodiaceae and Mimosaceae were most dominant
families that were mainly contributing the vegetation coverage.
There was a great diversity in phenological behaviour of browse species; overall, two
phenological seasons were observed from the investigated area. The first season was from
February to April and the second was from September to November. May to August and
December to January were almost dormant seasons but the activity of some browses was also
observed in these phases. Furthermore, maximum species were recorded in second
phenological season as compare to first one, because of high rainfall received during this
season (monsoon).
Further based on economic use classification, there were 19 species, which were being used
as firewood, 07 species were as timber wood, 22 species were as forage/fodder, and 19
species were as medicine. Results have showed that flora of Cholistan desert was rich in
economic plants of various uses. Maximum species were observed to have forage/fodder
value that clearly indicates that this area can serve as rangeland. It means that this area has
potential for grazing and livestock development, with some potential for medicinal plants.
However, overexploitation of browse species for various purposes has contributed to the
degradation of these rangelands.
110
2. According to phytosociological study, 20 browse communities were identified based on
importance value of each plant species, on different landforms in Cholistan rangelands.
Multivariate analysis of twenty stands has delineated three vegetation associations inhabiting
the sandunes, interdunal sandy and clayey saline habitats in the study area. Physio-chemical
analysis of soil showed that texture of sandunal habitat was sandy; interdunal was sandy
loam whereas clayey saline habitat was clayey nature. Results revealed that pH, EC, Na
contents, and soil moisture were high at clayey saline communities and minimum at sandunal
areas. Whereas concentration of organic matter, P, K was better at interdunal habitat which
may be due to better vegetation cover at interdunal habitat. Percentage of organic matter in
soil of Cholistan rangelands was very low, which obviously specify the sparse vegetation
cover. Conservation of these communities especially within disturbed sites is more normally,
demands an exclusive and urgent protection challenge. Therefore, species with low IVIs need
priority measures for conservation and those with high IVIs need monitoring.
3. Based on results, total dry browse production during wet season was 8029.10 kg/ha while in
dry season was 5422.90 kg/ha, that was 19.38% higher in wet season. Forage productivity
was high during wet season across the three range habitats. This was probably due to high
amount of rainfall during wet season (July through September) as compared to dry season.
Moreover, Grazing status of Cholistan rangelands showed that in wet season, maximum
stands were observed to be moderately grazed while in dry season most of stands were over
grazed. Results have revealed that range sites with high forage productivity were less
disturbed by grazing while the sites with minimum forage productivity were mostly
overgrazed. Therefore, in dry season forage productivity was poor and most of study sites
were observed to be overgrazed. As change in grazing intensity and selectivity necessarily
change the biodiversity; overgrazing and under grazing can both have negative effects, but
overgrazing by animals is increasingly problematical. The present study revealed that overall
recorded browse production was poor in both seasons. It was due to poor soil, overgrazing
and climatic extremities in Cholistan range which reduce the size and vigor of plants leading
to poor biomass productivity.
4. Carrying capacity (CC) during wet season was calculated as 16 ha/AU/Y while in dry season
was calculated 24 ha/AU/Y. The data suggested that overall carrying capacity of Cholistan
rangelands during both seasons was very low and available browse production was
111
insufficient for present stocking rate. There is no doubt that the Cholistan rangelands are in
the form of non-equilibrium condition where there is vast variability in forage production
both spatially and temporally. It was observed that aboveground total biomass productivity
decrease significantly with increasing grazing pressure leading to poor carrying capacity of
the area and ultimately livestock suffer more.
5. Based on palatability classification, 22 species were found to have palatability to varying
degree and 03 species were found non-palatable. Among the palatable species, 07 species
were highly palatable, 09 species were moderately palatable, and 06 species were less
palatable. It was observed that among palatable species, leaves of 14 species were grazed;
shoot/stem of 13 species, flower of 04 species, and fruit of 03 species were grazed by
livestock. Out of total palatable browse species, cattle were observed to graze on 07 species,
Goat and sheep like 10 species while camel preferred 20 species. These palatable species are
under sever threat and thinning out gradually due to tremendous grazing pressure and short
growing season round the year. In Cholistan rangelands high intensity of past livestock
grazing, and low palatability, it therefore, becomes indispensable to frequently change the
feeding and bedding grounds, in order to maintain a healthy palatable cover.
6. Nutritive evaluation showed that proximate composition (DM, CP, EE, CF, TA & NFE),
structural constituents (NDF, ADF, Hemicellulose & Lignin) and mineral (macro P, K, Na,
Ca & Mg and micro Mn, Cu, Zn & Fe) composition were varying significantly (p<0.05)
among the selected browse species. Results have revealed that these species were good
source of dry matter and protein whereas; concentration of almost all the minerals (micro and
macro) was less than required level for ruminants grazing therein. The area under study was
sandy and by the nature of the soil type, the browse plants have low levels of both major and
minor minerals. As a result, livestock in this area cannot obtain sufficient minerals from the
indigenous plants especially during dry season. Therefore, provision of supplemented feed
would seem most important for optimum productivity of grazing ruminants during different
times of the year.
112
6.2: MANAGEMENT STRATEGY
The challenge of rangeland management facing by today’s scientists, policy makers, and
users is to develop management strategies that will be based on basic problems over there.
From the conclusions of this baseline study or surveys and observations made during field
research, the following potential and feasible, research and/or developmental
recommendations could be forwarded as part of management strategy.
1. It is recommended that detailed vegetation surveys should be carried out to identify the
complete flora of Cholistan rangelands, in order to compile the floristic inventory and to
provide complete vegetation map of the area. For this herders’ knowledge about plant species
will also be important in developing the local herbarium. Further establishment of botanical
garden in order to conserve the diversity of endangered species is compulsory. It will provide
the base line information for future studies.
2. It was observed that over exploitation of browse species for medicinal, fuel and timber wood
purposes have destroyed these natural resources gradually. Alternate resources should be
provided and the area should be closed for a period of 10 years to promote browse coverage
there. Such long-term efforts might reduce the pressure and allow the flora and fauna to
revert to its natural position. Educating and encouraging the local communities to practice the
use of alternative resources is compulsory.
3. There is an urgent need of research and developmental actions to circumvent and address the
problems faced by those species having poor score and low importance value index in order
to stop the phenomenon of retrogression in Cholistan rangelands. To improve and conserve
the sustainable biological diversity of this ecosystem, long term plans are needed that might
include rehabilitation of degraded habitats by introducing soil and water conservation
operations, artificial reseeding, and reforestation on favorable range cites. There is an urgent
need of detailed soil analysis to encourage the ethics that improvement and conservation of
natural vegetation is essential for land and soil management. Tree planting by local peoples
has to be encouraged on already degraded landscapes to create a buffer for rehabilitation.
4. However, this study is very preliminary and it is recommended that subsequent ecological
studies should be conducted on spatial and temporal variations about browse production. The
productive potential of rangelands is not constant and carrying capacities need to be
periodically reviewed to accommodate any permanent changes in land resources, or from
113
changes in the environment. There is severe problem of overgrazing that leads to year round
stress on browse species. Grazing at suitable stocking rate is compulsory. Planned grazing
should be introduced and implemented in order to release the stress over browse species.
Planned but simple grazing system in accordance to nomadic pattern such as best block
grazing system will be very successful there.
5. It is obvious that successful range management and improvement requires the knowledge of
nutritional value of range plants (qualitative & quantitative) and forage palatability and
preferences of livestock. It is very imperative to determinate the comparative nutrient value
of all available browse resources during various seasons, phonological stages and the ability
of these resources to meet animal requirements for optimum livestock production. It should
be make compulsory for the provision of artificial feed for livestock during drought spells.
Animal feeding experiments are also compulsory to determine the nutritive value of
favorable species in relation to palatability, intake, digestion, and effect on productivity
performance of livestock.
6. Drought must be accepted as part of the pastoral life and there should be an adequate early
warning system regarding livestock feed availability and of appropriate mitigation strategies.
Rainfall patterns in the Cholistan rangelands need to be predicted using modern techniques
such as meteorological data and spatial analysis, while the indigenous knowledge of the
pastoral communities for rainfall prediction could also be used as a supporting tool.
7. There are more avenues for further exploration of browses such as research activity for
knowing the germination, soil seed bank, seed physiology, growth pattern, and propagation
in the investigated area. Potential traditional knowledge of the people on the diverse uses of
plants should be strengthened for enrichment of ethno botanical studies of the area.
8. The participation and cooperation of pastorals and nomadic peoples is very essential to
implement the effective management plan. Community involvement and integrated
management of the area should be considered as a practical option. I conclude that herder’s
knowledge should be considered in future monitoring and development of range management
policy because of important management implications. Based on the findings of this research,
it is recommended that rangeland management systems should integrate community
perceptions and practices. This should be so in every aspect including policies, programs,
114
projects, strategies, and activities that aim at reducing the degradation and managing the
rangelands.
9. The government and its institutions should play their respective responsibilities in
strengthening the low existing efforts as well as in correcting the gaps and in creating
integrated mechanisms at national, regional and local levels for implementing and enforcing
the rules of conservation and sustainable use of range resources. There is an urgent need of
strong linkage among international research activities, regional and sub-regional researches.
Further developmental programs are required to suggest an integrated management sketch so
that ecological and socio-economic problems could be addressed accurately.
At the end, it is described that the set objectives for this study were successfully achieved.
The identification, classification, forage production, stocking rate, and nutritive evaluation of
browses have created a detail map about productive potential of browses in Cholistan
rangelands. Previously no comprehensive studies were reported; therefore, present research
provided a valuable baseline data on the current condition of this ecosystem. All factors
considered, it was concluded that Cholistan rangelands are less productive and they need
proper protection, management, and rehabilitation through ecological approaches. Generally,
it was first comprehensive attempt to summaries what was known about the browses of
Cholistan rangelands. This task was rather overwhelming, because large sections of flora
were still not known, data sources were scattered and presented in different ways. These
problems have inevitably result the gap in previous stated materials but what I have presented
is the best possible summary of the information. This data should be incorporated into the
current management plan and the subsequent vegetation map should serve as a valuable tool
in the planning, conservation and management of these rangelands. The impact of
management recommendations should be regularly monitored to determine whether the aims
that were set, were achieved. This all would be possible with the sincere efforts of
government and local peoples in order to make the range resources sustainable.
115
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a b
PLATE 7.1: LIVESTOCK DEATH; A SEVERE EFFECT OF DROUGHT (a, b)
144
UANNEXURE__ ____________ __________________ CHAPTER 8 ANNEXURE 8.1: ECOLOGICAL ATTRIBUTES OF BROWSE SPECIES Sr. No. Plant Species Habit Life Form Abundance Life Span
1 Aerva javanica (Burm. f.) Merill. Shrub Phanerophyte V.Common Perennial
2 Aerva pseudotomentosa ssp. bovei. Clarke. Shrub Phanerophyte Common Perennial
3 Calotropis procera (Aiton.) Aiton. Shrub Phanerophyte Common Perennial
4 Leptadenia pyrotecnica (Forssakal.) Decne. Shrub Phanerophyte V.Common Perennial
5 Capparis decidua (Forsskal.) Edgew. Shrub Phanerophyte V.Common Perennial
6 Capparis spinosa Linn. Shrub Phanerophyte Rare Perennial
7 Haloxylon recurvum Bunge. ex. Boiss. Shrub Phanerophyte V.Common Perennial
8 Haloxylon salicornicum (Moq.) Bunge. Shrub Phanerophyte V.Common Perennial
9 Salsola baryosma (Roem. et. Scult.) Dany. Shrub Phanerophyte V.Common Perennial
10 Suaeda fruticosa (Linn.) Farsskal. Shrub Phanerophyte V.Common Perennial
11 Pulicaria rajputanae Blatt. & Hall. Shrub Phanerophyte Common Perennial
12 Abutilon muticum (Del. ex. DC.) Sweet. Shrub Phanerophyte Common Perennial
13 Acacia jacquemontii Benth. Shrub Phanerophyte Common Perennial
14 Acacia nilotica (Linn.) Del Tree Phanerophyte Common Perennial
15 Prosopis cineraria (Linn.) Druce. Tree Phanerophyte V.Common Perennial
16 Prosopis juliflora DC. Tree Phanerophyte Rare Perennial
17 Crotalaria burhia Ham. Ex. Bth. Shrub Phanerophyte V.Common Perennial
18 Tephrosia uniflora Pers. Shrub Phanerophyte Rare Perennial
19 Calligonum polygonoides Linn. Shrub Phanerophyte V.Common Perennial
20 Zizyphus mauritiana Lam. Tree Phanerophyte Rare Perennial
21 Zizyphus nummularia (Burm. f.) Wifht & Arn. Shrub Phanerophyte Common Perennial
22 Zizyphus spina christi ( Linn.) Wild. Tree Phanerophyte Rare Perennial
23 Salvadora oleoides Decne. Tree Phanerophyte Rare Perennial
24 Tamarix aphylla (Linn.) Karst. Tree Phanerophyte Common Perennial
25 Tamarix dioica Roxb. Shrub Phanerophyte Rare Perennial
145
ANNEXURE 8.2: PHENOLOGICAL PATTERNS OF BROWSE SPECIES
Sr. No. Plant Species Seedling Flowering Fruiting Dormant
1 Aerva javanica (Burm. f.) Merill. Feb, Sep Mar, Oct Apr, Nov May, Dec
2 Aerva pseudotomentosa ssp. bovei. Clarke. Sep Oct Nov Dec
3 Calotropis procera (Aiton.) Aiton. Feb, Sep Mar Apr May
4 Leptadenia pyrotecnica (Forssakal.) Decne. Mar, Sep Oct Nov Dec
5 Capparis decidua (Forsskal.) Edgew. Feb, Sep Mar, Oct Apr, Nov May, Dec
6 Capparis spinosa Linn. Feb, Sep Mar, Oct Apr, Nov May, Dec
7 Haloxylon recurvum Bunge. ex. Boiss. Sep Dec Dec Jan
8 Haloxylon salicornicum (Moq.) Bunge. Sep Dec Jan Jan
9 Salsola baryosma (Roem. et. Scult.) Dany. Sep Dec Jan Feb
10 Suaeda fruticosa (Linn.) Farsskal. Sep Oct Nov Dec
11 Pulicaria rajputanae Blatt. & Hall. Sep Oct Nov Dec
12 Abutilon muticum (Del. ex. DC.) Sweet. Feb, Sep Mar Apr May
13 Acacia jacquemontii Benth. Sep Oct Nov Dec
14 Acacia nilotica (Linn.) Del Feb, Sep Mar, Oct Apr, Nov May, Dec
15 Prosopis cineraria (Linn.) Druce. Sep, Feb Feb Apr Jun
16 Prosopis juliflora DC. Feb, Sep Mar, Oct Apr, Nov May, Dec
17 Crotalaria burhia Ham. Ex. Bth. Feb, Sep Mar, Oct Apr, Nov May, Dec
18 Tephrosia uniflora Pers. Sep Oct Nov Dec
19 Calligonum polygonoides Linn. Feb, Sep Mar Apr May
20 Zizyphus mauritiana Lam. Sep Nov Dec Feb
21 Zizyphus nummularia (Burm. f.) Wifht & Arn. Sep Nov Dec Feb
22 Zizyphus spina christi ( Linn.) Wild. Sep Nov Dec Feb
23 Salvadora oleoides Decne. Sep Jun Jul Aug
24 Tamarix aphylla (Linn.) Karst. Feb Mar Apr May
25 Tamarix dioica Roxb. Feb Mar Apr May
Key words: Jan-January, Feb-February, Mar-March, Apr-April, Jun-June, Jul-July, Aug-August, Sep-
September, Oct-October, Nov-November, Dec-December
146
ANNEXURE 8.3: ECONOMIC USE CLASSIFICATION OF BROWSE SPECIES
Sr.
No.
Plant Species Fire
Wood
Timber
Wood
Forage/Fodder Medicinal
1 Aerva javanica (Burm. f.) Merill. − − − +
2 Aerva pseudotomentosa ssp. bovei. Clarke. − − − −
3 Calotropis procera (Aiton.) Aiton. + − + +
4 Leptadenia pyrotecnica (Forssakal.) Decne. + − − +
5 Capparis decidua (Forsskal.) Edgew. + − + +
6 Capparis spinosa Linn. − − + +
7 Haloxylon recurvum Bunge. ex. Boiss. + − + +
8 Haloxylon salicornicum (Moq.) Bunge. + − + +
9 Salsola baryosma (Roem. et. Scult.) Dany. + − + +
10 Suaeda fruticosa (Linn.) Farsskal. + − + +
11 Pulicaria rajputanae Blatt. & Hall. − − + −
12 Abutilon muticum (Del. ex. DC.) Sweet. − − + +
13 Acacia jacquemontii Benth. + − + −
14 Acacia nilotica (Linn.) Del + + + +
15 Prosopis cineraria (Linn.) Druce. + + + +
16 Prosopis juliflora DC. + + + −
17 Crotalaria burhia Ham. Ex. Bth. + − + +
18 Tephrosia uniflora Pers. − − + −
19 Calligonum polygonoides Linn. + − + +
20 Zizyphus mauritiana Lam. + + + +
21 Zizyphus nummularia (Burm. f.) Wifht & Arn. + − + +
22 Zizyphus spina christi ( Linn.) Wild. + + + +
23 Salvadora oleoides Decne. + + + +
24 Tamarix aphylla (Linn.) Karst. + + + +
25 Tamarix dioica Roxb. + − + −
147
ANNEXURE 8.4: NAME, LOCATION, AND TOPOGRAPHY OF EACH STAND
Sr. No. Stand Name GPS Location Elevation Topography
1 Mansora N: 29P
oP12.161´ E: 072P
oP15.427´ 398 ft Sandunal
2 Kalapahar N: 29P
oP10.430´ E: 072P
oP05.569´ 384 ft Clayey saline
3 Chaklihar N: 29P
oP11.315´ E: 071P
oP57.648´ 389 ft Interdunal sandy
4 Januwali N: 29P
oP05.056´ E: 072P
oP09.933´ 406 ft Interdunal sandy
5 Khirsir N: 29P
oP10.339´ E: 072P
oP08.749´ 391 ft Sandunal
6 Haider wali N: 29P
oP02.672´ E: 072P
oP10.200´ 382 ft Clayey saline
7 Mojgarh Fort N: 29P
oP01.059´ E: 072P
oP08.106´ 392 ft Sandunal
8 Chelanwala Toba N: 28P
oP57.261´ E: 072P
oP03.089´ 369 ft Interdunal sandy
9 Khanser N: 28P
oP59.227´ E: 071P
oP55.299´ 352 ft Sandunal
10 Aldin Mor N: 28P
oP47.988´ E: 071P
oP45.770´ 340 ft Interdunal sandy
11 Dingarh Fort N: 28P
oP57.454´ E: 071P
oP51.910´ 365 ft Clayey saline
12 Dingarh Fort N: 28P
oP57.182´ E: 071P
oP49.362´ 371 ft Sandunal
13 Nidamwala Toba N: 28P
oP52.963´ E: 071P
oP44.270´ 355 ft Clayey saline
14 Mehmodwala Toba N: 28P
oP47.939´ E: 071P
oP45.770´ 334 ft Interdunal sandy
15 Lakhan N: 28P
oP52.232´ E: 071P
oP42.731´ 351 ft Clayey saline
16 Chananpir N: 28P
oP56.832´ E: 071P
oP40.057´ 353 ft Interdunal sandy
17 Baylawala N: 29P
oP23.466´ E: 071P
oP39.563´ 410 ft Interdunal sandy
18 Derawar fort N: 28P
oP49.208´ E: 071P
oP28.129´ 334 ft Sandunal
19 Derawar fort N: 29P
oP23.465´ E: 071P
oP39.560´ 345 ft Interdunal sandy
20 Chasma Dhar N: 28P
oP39.864´ E: 071P
oP15.632´ 323 ft Clayey saline
148
ANNEXURE 8.5: SEASONAL BROWSE PRODUCTION (kg/ha) AND GRAZING STATUS OF STANDS
Stand No. Topography/Habitat Season Fresh Biomass Dry Biomass Grazing Status 1 Sandunal area Wet 669.1 388.2 Overgrazed Dry 466 284.8 Overgrazed 2 Clayey saline area Wet 517.4 328.4 Overgrazed Dry 344 221.8 Overgrazed 3 Interdunal sandy area Wet 793.2 451.2 Moderately grazed Dry 577.8 322.5 Overgrazed 4 Interdunal sandy area Wet 825.6 452.2 Moderately grazed Dry 582 376.5 Moderately grazed 5 Sandunal area Wet 731.7 420.3 Slightly grazed Dry 436 244.8 Moderately grazed 6 Clayey saline area Wet 623 347.7 Moderately grazed Dry 335.5 234.5 Moderately grazed 7 Sandunal area Wet 690.3 365.2 Moderately grazed Dry 427.5 240 Moderately grazed 8 Interdunal sandy area Wet 1017 554.4 Slightly grazed Dry 623 354.3 Overgrazed 9 Sandunal area Wet 650.4 386.8 Overgrazed Dry 420.5 232.8 Overgrazed 10 Interdunal sandy area Wet 920.3 523.7 Slightly grazed Dry 625.3 372.8 Moderately grazed 11 Clayey saline area Wet 593.3 344.8 Moderately grazed Dry 327.5 255.5 Overgrazed 12 Sandunal area Wet 628.6 376.9 Overgrazed Dry 402.3 240.8 Overgrazed 13 Clayey saline area Wet 523.3 367.3 Overgrazed Dry 313.9 245.3 Overgrazed 14 Interdunal sandy area Wet 810 495.6 Moderately grazed Dry 607.3 363.5 Overgrazed 15 Clayey saline area Wet 570 339.6 Moderately grazed Dry 266.3 175.3 Overgrazed 16 Interdunal sandy area Wet 737.4 391.4 Overgrazed Dry 493.8 285.3 Overgrazed 17 Interdunal sandy area Wet 790.3 396.8 Moderately grazed Dry 489.3 257.8 Overgrazed 18 Sandunal area Wet 692.1 361.1 Moderately grazed Dry 391.3 253.3 Overgrazed 19 Interdunal sandy area Wet 784 416 Overgrazed Dry 485.5 300.3 Overgrazed 20 Clayey saline area Wet 467.6 321.5 Overgrazed Dry 251 161 Overgrazed
149
ANNEXURE 8.6: PALATABILITY CLASSIFICATION OF BROWSE SPECIES
S.
N.
Plant Species Degree of
Palatability
Palatability by
Parts used
Palatability by
Livestock
Hp Mp Lp Np Lv Sh Fl Fr Ca Go Sh Cm
1 Aerva javanica (Burm. f.) Merill. − − − + − − − − − − − −
2 Aerva pseudotomentosa ssp. bovei. Clarke. − − − + − − − − − − − −
3 Calotropis procera (Aiton.) Aiton. − − + − + − − − + + + −
4 Leptadenia pyrotecnica (Forssakal.) Decne. − − − + − − − − − − − −
5 Capparis decidua (Forsskal.) Edgew. − + − − − + − − − − − +
6 Capparis spinosa Linn. − + − − − + − − − − − +
7 Haloxylon recurvum Bunge. ex. Boiss. − + − − − + − − − − − +
8 Haloxylon salicornicum (Moq.) Bunge. − − + − − + − − − − − +
9 Salsola baryosma (Roem. et. Scult.) Dany. − + − − − + − − − − − +
10 Suaeda fruticosa (Linn.) Farsskal. − + − − + + − − − − − +
11 Pulicaria rajputanae Blatt. & Hall. − − + − + − − − − − − +
12 Abutilon muticum (Del. ex. DC.) Sweet. − − + − + − − − − − − +
13 Acacia jacquemontii Benth. + − − − + + + − − + + +
14 Acacia nilotica (Linn.) Del + − − − + + + + + + + +
15 Prosopis cineraria (Linn.) Druce. + − − − + + + + + + + +
16 Prosopis juliflora DC. − + − − + − − + − + + +
17 Crotalaria burhia Ham. Ex. Bth. − − + − + − − − − − − +
18 Tephrosia uniflora Pers. − − + − + − − − − + + −
19 Calligonum polygonoides Linn. − + − − − + + − − − − +
20 Zizyphus mauritiana Lam. + − − − + − − − + + + +
21 Zizyphus nummularia (Burm. f.) Wifht & Arn. + − − − + − − − + + + +
22 Zizyphus spina christi ( Linn.) Wild. + − − − + − − − + + + +
23 Salvadora oleoides Decne. + − − − + + − − + + + +
24 Tamarix aphylla (Linn.) Karst. − + − − − + − − − − − +
25 Tamarix dioica Roxb. − + − − − + − − − − − +
Key words: Hp-Highly palatable, Mp-Moderately-palatable, Lp-Less palatable, Np-Non palatable
Lv-Leaf, Sh-Shoot, Fl-Flower, Fr-Fruit Ca-Cattle, Go-Goat, Sh-Sheep, Cm-Camel
150
PLATE 8.1: SOME PICTURES TAKEN DURING FIELD WORK
top related