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Biodiversity Modeling and Tribal Livelihood
Status in Western Ghats
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Publishing-in-support-of,
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Biodiversity Modeling and
Tribal Livelihood Status in
Western Ghats
Dr. Basavarajaiah D M
Fellow of Royal Statistical Society (UK)
Elected Member of London Mathematical Society (UK)
EDUCREATION PUBLISHING (Since 2011)
www.educreation.in
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Dedicated to our Respectable
Father of Indian Costitution
Bharata Rathna
Dr.Bheem Rao Ambedkar
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FORWARD
It is a matter of great satisfaction that the present academic text book
entitled “Biodiversity Modeling and Tribal Livelihood Status in
Western Ghats” is very well received not only by the students,
teachers and professionals, but also by the great environmentalists
and policy makers. This book is found to be great resourceful for
Scholars from other countries and prospective ecological inventors
for understanding the various analytical methods and species
indices of Western Ghats. An entire text book has intricate with
advanced modelling techniques to assess the biodiversity or
ecosystem functions, to support decision making theory of
ecological imbalance at global level. All chapters concealed with
formal and accurate algorithms modeled at the larger extent.
Fitted models in the present text book can have various levels of
formalization, from purely qualitative and fully mathematical
induction. With a sense of pride and satisfaction, I would like to
say that with the active support of faculty Members University has
come alive to disseminate academic and research needs for the
students and research Scholars. With all the efforts and
contributions put in by the author, I truly hope that the present
edition that follows will make some interesting reading. I
congratulate the author for bringing out innovative and inspiring
new academic text book for student and scientific community.
Prof.H.D.Narayanaswamy
Hon‘ble Vice Chancellor
KVAFSU(B),Nandinagar,Bidar
Republic of India
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PREFACE
Biodiversity boosts ecosystem productivity where each species, no
matter how small, all have an important role to play. For example,
a larger number of plant species means a greater variety of crops.
Greater species diversity ensures natural sustainability for all life
forms. If conservation of natural resources goes wrong, nothing
else will go right. The conservation strategies are greatly required
for the protection of species and ecosystem through statistical and
mathematical intervention. In this vouchsafe, the present academic
book aims to describe basic statistical and mathematical
apprehensions, the narrative new text book flourish empirical
studies to show how recent techniques of model construction can
be used in a wide range of significant applications. Researchers
will realize it an invaluable guide to using different biodiversity
models in their work. The fundamental principles of biodiversity
modeling are covered by the first six chapters of the textbook,
including ‗how to go modeling‘ and an overview of the various
model types applicable in climatic changes. Chapter- i describes
Statistical modeling of floristic diversity, Chapter-ii deals with
socioeconomic status and livestock rearing activities of tribal‘s,
Chapter-iii covers species diversity index modeling, Chapter - iv
widely describes animal diversity index modelling and concept of
population viability analysis, Chapter – v describes Genetic
diversity of ecosystem. Chapter- vi describes the modelling on
climatic changes and ecological imbalance –an empirical analysis.
Lastly, chapter-vii deals with data base management and
compilation of climatic data sets. For all seven chapters, detailed
and illustrative examples are bestowed. The suitable examples are
chosen to allow the readers adequate information to facilitate the
expansion of their own model of the various types. Entire chapters
are addressed key issues of climatic changes derived by various
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analytical interventions and techniques. Present amid text book can
help to analyze the impact of socio-economic developments on the
environment. Fitted statistical models in this text book help us to
understand where we are, why it happened, and how it influences
our understanding of ecological processes. Finally, by using these
models we make accurate predictions about ecosystem, and also
assessing the accuracy of our knowledge for striving upgrade in
our environmental science research at global level.
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ACKNOWLEDGEMENTS
Biodiversity modelling and Tribal livelihood status in Western
Ghats region entitled academic text book tailored with practical
real approach to webbing for knowledge apportion to the
researchers, students and academicians etc. First and foremost, I
would like to thank god and my parents for never ending grace,
mercy and provision during what ended up being one of the
toughest time for completion of this task. I would love to give
special thanks to several great scholars who made this book
possible. Firstly, I would like to give special thanks to our beloved
Hon‘ble Vice Chancellor Prof.H.D.Narayanaswamy,Prof. Placid
E‟D Souza, Dean, Veterinary College, Hebbal, Bengaluru,
Prof.H.M.Jayaprakash, Dean, Dairy Science College. I owing to
extend my sincere unfeigned thanks to all key officers of KVAFSU
(B) and Prof.Jayanaik, HOD, Department of Poultry Science,
Veterinary College, Hebbal, Bengaluru
Last but not least, I would like to thank our family and friends
for their constant supports and encouragements. I convey my
special thanks to Ms.Shreya B.S for giving technical supports. I
hope you to enjoy reading this book and find it useful. We wish all
our readers all the very best in their future endeavour .We would
love to hear your comments and suggestions .You can send your
mails to [email protected]
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CONTENTS AT A GLANCE
Sr.No. Contents Page
I Statistical Modelling of Floristic Diversity 1-54
1.1 Concept of Biodiversity 1
1.2 Historical Prospective 2
1.3 Species Diversity in India and Global Level 2
1.4 Biodiversity Evolution 4
1.5 Species Extinction 4
1.6 Types of Extinction Events 4
1.7 Major Components of Extinction 6
1.8 Biodiversity Dimension 6
1.9 Different levels of Biodiversity 7
1.10 Genetic Diversity 7
1.11 Species Diversity 8
1.12 Community level Diversity 8
1.13 Basic Principles of Biodiversity 8
1.14 Island Biodiversity 9
1.15 Dry and Sub Humid Biodiversity 10
1.16 Forest Biodiversity 10
1.17 Coastal Biodiversity 11
1.18 Mountain Biodiversity 12
1.19 Agriculture Biodiversity 12
1.20 Species Distribution in Distribution 17
1.21 Floristic Diversity in Western Ghats Region 18
1.22 Distribution Model of Notable Arborescent
Genera of Western Ghats
23
1.23 Random Walk 24
1.24 Poisson distribution 25
1.25 Normal Distribution 27
1.26 Biodiversity 30
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1.27 Value of biodiversity 31
1.28 Direct value 31
1.29 In situ (or on situ) Conservation 32
1.30 Limitations 33
1.31 Ex situ Conservation 33
1.32 Major Problems with Biodiversity
Conservation
34
1.33 Salient Features: 35
1.34 India is Home to five World Heritage Sites 36
1.35 Prevention and Mitigation of Natural
Disasters:
37
1.36 Objectives of Ecology 38
1.37 Concept of Ecological Succession: 39
1.38 Climax 40
1.39 Monoclimax theory 40
1.40 Polyclimax theory 40
1.41 Significance of Ecological Succession 41
1.42 Incomplete Ecosystem (IE) 41
1.43 Importance of Ecosystem Diversity 41
1.44 Merits of Biodiversity 45
1.45 Biodiversity Conservation 46
1.46 Key Points of Biodiversity Conservation 47
1.47 Government Policy of Biodiversity
Conservation (GOI)
49
1.48 The Wildlife (Protection) Act 49
1.49 Difference between NP and WLS 50
1.50 Biosphere Reserve 51
1.51 Functions of Biosphere Reserve 52
1.52 Sacred groves 52
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II Socio economic Status and Livestock
Rearing Activities of Tribal‟s
55-101
2.1 Tribal‘s in Western Ghats 55
2.2 Research gap 59
2.3 Livestock Rearing 61
2.4 Econometric Model of Tribal Livelihood 78
2.5 Intervention of Tribal Discourse 80
2.6 Nutritional Assessment of Tribal‘s 82
2.7 Rationale 83
2.8 Scientific Findings 84
2.9 Usage of Medicinal Plants by the Tribal‘s 94
2.10 Impact of Health and Nutrition on Education 98
2.11 Recommendation 100
III Species Diversity Index Modelling 102-159
3.1 Introduction 102
3.2 Species Richness 106
3.3 Evenness 106
3.4 Simpson's Index of Diversity (1 – d) 107
3.5 Simpson's Reciprocal Index (1 / d) 108
3.6 Ecological sampling -Why do we need to
sample
109
3.7 Random Sampling 111
3.8 Systematic Sampling 112
3.9 Line Transect Method 113
3.10 Belt transect Method 113
3.11 Stratified Sampling 114
3.12 Ecological Sampling Methods 116
3.13 Sampling Methods Measure 121
3.14 Density and Dispersion Patterns 124
3.15 Sample size 124
3.16 Species Distribution Modelling 125
3.17 Model Evaluation 127
3.18 Milestone of Ecological NICHE 132
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3.19 NICHE population dynamics 138
3.20 Model System 140
3.21 Model Algorithms 152
3.22 Bioclim Algorithms 152
3.23 Domain Algorithms 153
3.24 Mahalnobis Distance Model 154
3.25 Geographic Null Models 155
3.26 Random Forest Model 156
3.27 Boosted Regression Tree Model 157
3.28 Model Inputs For SDM 159
3.29 SDM -Policy implications 159
IV Animals diversity Index Modelling and
Concept of Population Viability Analysis
161-193
4.1 Introduction 161
4.2 Model Formulation 163
4.3 Model Fitting by Using SAS 165
4.4 Receiver Operating Characteristic Analysis
Model
167
4.5 Species Distribution Entropy Modelling 173
4.6 Model Formulation 175
4.7 Ecological Growth Model 176
4.8 Population Viability Analysis (PVA) 179
4.9 Model Formulation of PVA 180
4.20 Demographic Structured Population Growth
Model
181
4.21 Vital Rate 185
4.22 Population Size 185
4.23 Life Stage 186
4.24 Genetic Variability 186
4.25 Temporal Variation 186
4.26 Population Immigration and Emigration 187
4.27 Structural Changes of Geography 187
4.28 Uncertainty of the Events 188
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4.29 Statistical Analysis (Model) 188
4.30 Practical Implications of Population Viability
Analysis
189
4.31 Glossary 191
V Genetic Diversity of Ecosystem 194-256
5.1 Introduction 194
5.2 Species Diversity 196
5.3 Ecosystem Diversity 197
5.4 Importance of Biodiversity 198
5.5 Estimation of Genetic parameters of Genetic
Diversity
200
5.6 Gene effects of Species 202
5.7 Fisher's Decomposition of the Genetic Value 203
5.8 Gene Marker Assisted Selection Technique 203
5.9 Opportunities for Applying Molecular
Genetics
205
5.10 Genetic markers 207
5.11 Advantages of Marker Assisted Selection 209
5.12 Limitation of Marker-Assisted Selection 211
5.13 Polymerase Chain Reaction 212
5.14 Microsatellite Markers 212
5.15 Single Nucleotide Polymorphisms and
Genome Sequencing
213
5.16 Identifying Markers for Specific Traits 214
5.17 Markers for Quantitative Trait loci Mapping 216
5.18 Populations Used to map Quantitative Trait
loci
216
5.19 Mapping of Genetic Markers 217
5.20 Mapping Trait Genes in Livestock 218
5.21 Applications of Marker-Assisted selection 218
5.22 BLUP techniques for assessment of traits 222
5.23 Design of Breeding Programs 223
5.24 Modelling on GCA & SCA 228
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5.25 Recurrent selection: 230
5.26 Reciprocal Recurrent Selection: 230
5.27 Application of Combining ability 231
5.28 Diallel cross 231
5.29 Different methods of Diallel analysis 233
5.30 Linear and non-Linear modelling 235
5.31 Difference between Linear and Nonlinear
regression models
237
5.32 Genetic linear and non-linear modelling 248
5.33 Mating design practical approach 250
5.34 Need for mating design 251
5.35 Major mating designs 252
5.36 Diallel mating 256
VI Modelling on climatic Change and
Ecological Imbalance-An empirical
analysis
257-311
6.1 Introduction 257
6.2 National issues 257
6.3 Reasons for Ecological Imbalance 258
6.4 Climatic Change over the Time 260
6.5 Climatic Change –Effect on Human Health 264
6.6 Predictive Modelling of Global Climate
Change and Health
268
6.7 climatic predictive models 270
6.8 Model Suggestions 271
6.9 Summary - Effect of Climatic Change 272
6.20 Climatic Changes Statistical Modelling 273
6.21 Weather Model 283
6.22 Climatic Reconstruction by Modelling 284
6.23 Solar energy Balanced Model 285
6.24 Artificial Neural Net Work Models for
Climatic Variation
287
6.25 Major Steps of ANN model Construction 288
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6.26 Ecological Simulation Modelling 290
6.27 Application of Montercarlo Simulation
Method
294
6.28 Extrapolation Approach 297
6.29 Types of Ecological Forecasting Models 298
6.30 Brownian Walk Simulation Model 300
6.31 Regression model 302
6.32 Summary of the Model 303
6.33 Model on Effect of Pollution on Human
Health (health hazard model)
304
6.34 Causes for Plastic Pollution 304
6.35 Plastic Pollution on Health Effect 305
6.36 Effect on Environmental Degradation 308
VII Data Base Management and Compilation
of Climatic Data Sets
312-375
7.1 Introduction 312
7.2 Data Collection And Documentation 313
7.3 Data Base Management System (DBMS) -
Applications
314
7.4 Data Base Management System Models
(DBMS)
315
7.5 Hierarchical Model 315
7.6 Network Model 316
7.7 Object Oriented Model 317
7.8 Security 320
7.9 DBMS - Architecture 321
7.10 Biological Data Entity 323
7.11 Attributes 323
7.12 Relationship 324
7.13 Key Constraints 327
7.14 Referential Integrity Constraints 328
7.15 Relational Algebra 328
7.16 Data Base Environment 328
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7.17 Data Security Risks 329
7.18 Experimental Data Tempering 329
7.19 Falsifying User Identies 330
7.20 Password Related Threats 330
7.21 Unauthorized Access To Data Matrix: 331
7.22 Requirement of Data Security 331
7.24 Hash organization 334
7.25 Data Retrieve from DBMS (DRDMS) 338
7.26 Data Recovery 338
7.27 Database Backup & Recovery from Catastrophic
Failure
338
7.28 Remote Backup 339
7.29 Scope of DBMS in Agriculture Sector 340
7.30 Concept of Research Methodology 342
7.31 Methodological Intervention of Conducting
Research
343
7.32 Variables Selection 344
7.33 Scale of Measurements 346
7.34 Research Approach 348
7.35 Experimental Research 350
7.36 Descriptive Versus Inferential Statistical
Analysis
350
7.37 Descriptive Analyses: 351
7.38 Inferential Analyses: 351
7.39 Testing of Normality 352
7.40 Hypothesis Testing 356
7.41 Statistical Methods for Testing of
Hypothesis
357
7.42 Traditional Method 358
7.43 P-value Method 360
7.44 Effective Scientific Writing Work 360
7.45 Persuasive Aspects of Conventional Written
Structure
361
7.46 Software‘s for Data Analysis 363
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7.47 Mathematical Simulation 365
7.48 Multivariate Analysis 366
7.49 Genetic mapping using genes (sample based) 367
7.50 Climatic Data Source 368
7.51 Model for Prediction of Climatic Threatened
Factors
373
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TABLES
Sr.No. Contents Page
1.1 Percentage wise break up of Bio geographical
Zones with respect to various provinces
16
1.2 Endangered mammals in Western Ghats
region
21
1.3 Notable Arborescent genera of Western Ghats
region (>5 endemic species)
22
1.4 Some taxa of Western Ghats having high
diversity
27
1.5 Categories of inventory relation to different
diversity
43
2.1 Descriptive of Demographic profile of tribal‘s
in Coorg district.
64
2.2 Descriptive of Demographic and livelihood
status of tribal‘s
67
2.3 Infrastructure status of tribal people. 68
2.4 Descriptive of occupation status of tribal‘s. 69
2.5 Level of participation and involvement
among NGO‘s and Government support
service
70
2.6 Details of income generated activities of
tribal communities.
72
2.7 Main Expenditure of tribal communities for
maintains livelihoods.
74
2.8 WHO-Quality of life of tribal peoples in
Western Ghats without rearing of livestock‘s.
75
2.9 Table 2.9: WHO-Quality of life of tribal
peoples in Western Ghats with rearing of live
stocks.
77
2.10 Gini co efficient of tribal economic index 79
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2.11 Regression adjustments for Gini Index tribals
–Panel B
80
2.12 Clinical sign of nutritional deficiency among
tribal and general population
91
2.13 Knowledge of Medicinal plants used by the
tribal in Western Ghats region for health
remedies
95
2.14 Self reported health behaviour indicators of
tribal and control groups
97
3.1 Distribution of Shannon index with numerical
simulation
105
3.2 Conversion of common indices to true
diversities
109
3.3 Ecological Sampling Methods 116
3.4 Comparative indicators of line and belt
transact method
117
3.5 Expected cell frequency 122
3.6 Ecological niche model 129
3.7 Tabular form of specify and sensitivity of
NICHE
138
3.8 Bayesian matrix table for population risk
assessment (Diagnosis test table)
142
4.1 Parameter estimates of spotted deer in
Western Ghats
166
6.1 Climate is affected by the many factors,
showed below
263
6.2 Methods used to forecast future health
impacts of climate change
265
7.1 For large samples, many non parametric
techniques can be viewed as the usual normal
theory –based procedures applied
357
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FIGURES
Sr.No. Contents Page
1.1 Map shows ten Biogeographical regions of
India
15
1.2 Map showing Geographical distribution of
Western Ghats
20
1.3 Munnar Hill station –Western Ghats region 20
1.4 Vulture (Gyps indicus) extinction bird in
Western Ghats region
21
1.5 Binomial distribution model of arborescent
genera of Western Ghats
24
1.6 Poisson distribution model of arborescent
genera of Western Ghats
27
1.7 Normal Distribution of Arborescent genera of
Western Ghats region
27
1.8 Polynomial distribution of Species richness in
Western Ghats region
28
2.1 Map showing Western Ghats Biodiversity 60
2.2 Geographical map of study area 63
2.3 Flora and fauna of Western Ghats in
Government demarcated Gomala.
64
2.4 Tribal shelter made out of Bamboo log with
polythene cover
67
2.5 Tribal were interviewed by the author 69
2.6 Un hygienic raised flooring system for pigs
rearing by tribes
70
2.7 Traditional method of Poultry bird‘s rearing
cage to prevent rats, snakes and wild animals.
70
2.8 Grazing land for cattle and buffaloes near
tribal settlement.
73
2.9 Collection of Non –timber forest products 73
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(NTFP‘s) from forest by tribal‘s.
2.10 A poor tribal man fetches portable water from
a distant place to his shelter.
76
2.11 Lorenz Gini index of tribals before after
economic status of respondents
79
2.12 Distribution of Body Mass Index among
tribal‘s in Western Ghats selected regions
84
2.13 Waist circumference distribution in tribal‘s 85
2.14 Hip circumference distribution in tribal‘s 85
2.15 Hip circumference distribution in General
population (Control Group)
86
2.16 Food pyramid accorded by the tribal and
general population (Cumulative percentage)
87
2.28a1
2.29a2
2.30a
2.31b
2.32c
2.33d
2.34e
Ancardium accidentalis
Syzygium sasidharanii
Garcinia indica
Artocarpus intigrifolia
Sorinum cherry
Syzygium cumini (Black plum)
Mangifera indica (wild)
89
89
89
89
90
90
90
2.35f
2.36g
2.37h
2.38i
2.39k
2.40l
Ophiorrhiza mungos
Acacia concina (Sigekai)
Semecarpus anacardium
Aphanamixis polystachya
Saraca asoca
Rauvolfia serpentina
96
96
97
97
97
97
3.1 Simulation of various diversity index
distributions (Western Ghats)
104
3.2 Natural Beauty of River Nethravathi in
Western Ghats
104
3.3 Species richness in Western Ghats 107
3.4 Beauty of Tandiyanda mol hilly region in
Western Ghats
108
3.5 Feminine Beauty of Seetha River in Western 108
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Ghats
3.6 Bisect method sampling method overview 119
3.7 Quadrant method sampling overview 120
3.8 Endangered Lion-tailed macaque in endemic
to Western Ghats
127
3.9 ROC curve for SDM model evaluation 129
3.10 Trespass of Asian elephants in Nagara Hole
National Park (Western Ghats)
132
3.11 Niche describing the relational position of a
species or population in an ecosystem.
135
3.12 NICHE modeling flow diagram 137
3.13 Relative risk of fundamental niche overview 143
3.14 Nepenthes genus of carnivorous plant in the
monotypic family
146
3.15 Niche distribution in Western Ghats 150
3.16 Geographic null model distribution 155
4.1 PVA Models examine the effects of different
life H/o
184
5.1 Recombination between loci is more likely to
occur between loci that are far apart than those
that are close together
207
5.2 Linear Regression Equations 238
5.3 Nonlinear Regression Equations 239
5.4 Weibull growth 240
5.5 Weibull growth model 241
5.6 The nonlinear regression example below
models the relationship between density and
electron mobility.
241
5.7 The equation for the nonlinear regression
analysis is too long for the fitted line plot
242
5.8 Response mobility model 245
6.1 Climatic changes impact on health flow chart 265
6.2 Contribution of different sectors in world to
climate change
273
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6.3 Estimate of future level of CO2 273
6.4 Predicted trend of temperature variation from
past 1900-2000 year
279
6.5 Distribution concentration of CO2 and trend
of global temperature
280
6.6 Distribution of global bulk atmospheric
temperature (surface 50kt)
280
6.7 Probability of occurrence increase in mean
temperature (Model linked with Gaussian
distribution)
286
6.8 Brownian movement 300
6.9 Species abundance in Western Ghats region
simulated by Brownian motion
302
7.1 Schematic diagram of DBSM 314
7.2 Normality of BMI-Acute Intermittent asthma
cases
353
7.3 Shows Cholesterol level in heart patients 355
7.4 Shows Cholesterol level in heart patients 356
7.5 Forest fire in Western Ghats due to Climatic
Change
374
7.6 Forest Encroachment in Western Ghats due to
anthropogenic effect
374
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Dr. Basavarajaiah D M
1
CHAPTER - I
STATISTICAL MODELING OF
FLORISTIC DIVERSITY
______________________________________________________
Earth is not a platform for human life. It’s a living being; we are
not on it but part of it. Its health is our health
Dr .B.R. Ambedkar
1.1 CONCEPT OF BIODIVERSITY
Biodiversity is defined as “the intrinsically-inbuilt plus the
externally-imposed variability in and among living organisms
existing in terrestrial, marine and other ecosystem at a specific
period of time”. Since the Biodiversity is the richness and variety
of life of species living in an ecosystem. The life of living species
varies greatly across the globe as well as within the local region.
However, so many other factors will influence diversity of all
living organism (biota) viz., temperature, precipitation, altitude,
soils, geography and the presence of other species etc. The main
merits of biodiversity are to increase the stability of ecosystem,
resilience, agriculture production, environmental richness and
benefits to the national economy by generating money through
tourism and recreational system. Although, in an ecosystem with
great biodiversity if one organism dies off, another may step in and
take over it‘s called ‗NICHE‘
As per the Denny (1997)― Biodiversity includes assemblages
of plant, animals and micro-organisms, their genetic variability
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