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PHE-ETHIOPIA CONSORTIUM A Resource Base and Climate Change Risk Maps for Awash National Park Tezera Chernet ERCAND Consult 2015, Addis Ababa Financed by the SCIP Fund: the SCIP Fund is financed by the Governments of the United Kingdom (UK), Norway and Denmark.

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  • PHE-ETHIOPIA CONSORTIUM

    A Resource Base and Climate Change Risk Maps for Awash National Park

    Tezera Chernet

    ERCAND Consult

    2015, Addis Ababa

    Financed by the SCIP Fund: the SCIP Fund is financed by the Governments of the United Kingdom (UK), Norway and Denmark.

  • Table of Contents

    ERCAND Consult Page ii

    Table of Contents

    ACRONYMS .................................................................................................................................................... VI

    ACKNOWLEDGM ENTS ............................................................................................................................. VII

    EXECUTIVE SUMM ARY .......................................................................................................................... VIII

    1. OVERVIEW OF AWASH NATIONAL PARK ...................................................................................................... 1

    1.1 INTRODUCTION ................................................................................................................................................. 1 1.2 OBJECTIVE........................................................................................................................................................ 2 1.3. THE STUDY AREAS ............................................................................................................................................. 2

    1.3.1 Location ................................................................................................................................................. 2 1.3.2 Topography ........................................................................................................................................... 3 1.3.3 Soil ......................................................................................................................................................... 4 1.3.4 Water Resources and drainage ............................................................................................................. 4 1.3.5 Brief History of the Awash National park .............................................................................................. 4

    2. LAND COVER CLASSIFICATION ..................................................................................................................... 6

    2.1 METHODOLOGY ................................................................................................................................................ 6 2.1.1 Data set ................................................................................................................................................. 6 2.1.2 Preprocessing of Images ....................................................................................................................... 6 2.1.3 Image Classification for land use and land cover mapping ................................................................... 6 2.1.5 Land cover change detection ................................................................................................................ 7 2.1.6 Identification of change drivers ............................................................................................................ 7 2.1.7 Materials and tools ............................................................................................................................... 7

    2.2. RESULTS AND DISCUSSION .................................................................................................................................. 8 2.2.1 Present Vegetation types ...................................................................................................................... 8 2.2.2 Description of present land cover ......................................................................................................... 9 2.2.3 Land use / cover changes .................................................................................................................... 12 2.2.4 Drivers of Land cover Change .............................................................................................................. 12

    3. WILD ANIMALS HABITAT MAPPING ........................................................................................................... 13

    3.1 METHODOLOGY .............................................................................................................................................. 13 3.1.1 Data Set............................................................................................................................................... 13 3.1.2 Habitat assessment and mapping ....................................................................................................... 13

    3.2 RESULTS AND DISCUSSIONS ............................................................................................................................... 14 3.2.1 Bio-Diversity of Awash National Park ................................................................................................. 14 3.2.2 Trends in Number of Wild-animal Population ..................................................................................... 16 3.2.3 Habitat Fragmentation ....................................................................................................................... 18

    3.2.3.1 Deforestation and Degradation ..................................................................................................................... 18 3.2.3.1.1 Expansion of Cultivated Land ................................................................................................................ 18 3.2.3.1.2 Competition from Grazing by Domestic Animals ................................................................................... 19 3.2.3.1.3 Collection of Fuel and construction wood ............................................................................................. 19

    3.2.3.2 Infrastructure development .......................................................................................................................... 19 3.2.3.3 Impacts of Fragmentation ............................................................................................................................. 20

    3.2.4 Other Pressures ................................................................................................................................... 21 3.2.4.1 Road Kill ......................................................................................................................................................... 21 3.2.4.2 Alien Invasive Species .................................................................................................................................... 22

    4. CLIMATE CHANGE RISK PROFILES ............................................................................................................... 23

  • Table of Contents

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    4.1 OBJECTIVE...................................................................................................................................................... 23 4.2 METHODOLOGY .............................................................................................................................................. 23

    4.2.1 Data Set............................................................................................................................................... 23 4.2.2 Hazard Assessment ............................................................................................................................. 23

    4.2.2.1 Fire hazard Assessment ................................................................................................................................. 24 4.2.2.2 Drought hazard Assessment .......................................................................................................................... 26 4.2.2.3 Flood hazard Assessment .............................................................................................................................. 27

    4.2.3 Risk Assessment .................................................................................................................................. 28 4.3 RESULTS AND DISCUSSIONS ............................................................................................................................... 28

    4.3.1 Climate ................................................................................................................................................ 28 4.3.1.1 The Present Climate of ANP .......................................................................................................................... 28 4.3.1.2 The Future Climate ........................................................................................................................................ 30

    4.3.2 Hazards Assessment ............................................................................................................................ 30 4.3.2.1 Fire Hazard .................................................................................................................................................... 30

    4.3.2.1.1 Fire Frequency ....................................................................................................................................... 30 4.3.2.1.2. Fire Prone Areas .................................................................................................................................... 34

    4.3.2.2 Drought Hazard ............................................................................................................................................. 34 4.3.2.3 Flood Hazard ................................................................................................................................................. 35

    4.3.2.3.1 Flood Prone Areas .................................................................................................................................. 35 4.3.2.3.2 Flood Frequency ..................................................................................................................................... 36 4.3.2.3.3 Beseka Lake Level .................................................................................................................................. 38

    4.3.3 Vulnerability Assessment .................................................................................................................... 40 4.3.4 Risk Assessment .................................................................................................................................. 40

    4.3.4.1 Fire Risk ......................................................................................................................................................... 40 4.3.4.2 Drought Risk .................................................................................................................................................. 41 4.3.4.3 Flood Risk ...................................................................................................................................................... 42

    5. CONCLUSIONS AND RECOMMENDATIONS ................................................................................................. 44

    5.1. CONCLUSIONS ................................................................................................................................................ 44 5.2. RECOMMENDATIONS ....................................................................................................................................... 45

    6. REFERENCES ............................................................................................................................................... 47

  • Table of Contents

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    List of Tables

    TABLE 1: AREA SIZES OF LAND COVER TYPES ..................................................................................................................... 9 TABLE 2: POPULATION SUPPORT CAPACITY ANALYSIS FOR FENTALE WOREDA (SOURCE: WBISPP) .............................................. 18 TABLE 3: VARIABLES AND WEIGHT FACTOR USED IN FIRE HAZARD MAPPING ........................................................................... 26 TABLE 4: FACTORS USED IN FLOOD HAZARD ASSESSMENT ................................................................................................. 27

    List of Figures

    FIGURE 1: LOCATION MAP OF THE STUDY AREAS ................................................................................................................ 3 FIGURE 2: PROFILE GRAPH: BESEKA LAKE - TOP OF FENTALE MOUNTAIN – HOT SPRING AT ANP ................................................. 3 FIGURE 3: PRESENT LAND USE / COVER MAP OF ANP ......................................................................................................... 8 FIGURE 4: LAND USE / LAND COVER CLASS CHANGE BETWEEN 1973 AND 2014 AT ANP ......................................................... 12 FIGURE 5: CHANGE IN NUMBER OF SPECIES FOR SOME WILD ANIMALS OCCURRING IN ANP BETWEEN 2008 AND 2010 ................ 16 FIGURE 6: MAP DEPICTING THE PRESENT DISTRIBUTIONS OF SOME WILD ANIMALS AT ANP...................................................... 17 FIGURE 7: FREQUENT ROAD KILL AREAS BY SPECIES TYPE AT ANP ........................................................................................ 21 FIGURE 8: CROSS SECTION VIEW OF ROAD CROSSING ANP ................................................................................................. 21 FIGURE 9: MAPS OF WEIGHTED VARIABLES ..................................................................................................................... 25 FIGURE 10: MEAN MONTHLY RAINFALL: METHARA. ........................................................................................................ 28 FIGURE 11: MEAN MONTHLY TEMPERATURE: METHARA. ................................................................................................. 29 FIGURE 12: THERMAL ZONES ....................................................................................................................................... 29 FIGURE 13: NUMBER OF FIRES OBSERVED BY YEAR AT AWASH NATIONAL PARK ..................................................................... 30 FIGURE 14: NUMBER OF FIRES OBSERVED BY MONTH AT AWASH NATIONAL PARK.................................................................. 31 FIGURE 15: NUMBER OF FIRES OBSERVED AT AWASH NATIONAL PARK AND SURROUNDING AREAS BY MONTH ............................. 31 FIGURE 16: DISTRIBUTION OF FIRE POINTS IN THE KAS SURROUNDING ANP ......................................................................... 32 FIGURE 17: NUMBER OF FIRES OBSERVED PER YEAR AT AWASH NATIONAL PARK AND SURROUNDING AREAS ............................... 32 FIGURE 18: LOCATION OF FIRE PIXELS IN ANP AND THE SURROUNDING AREAS ...................................................................... 33 FIGURE 19: ANP - FIRE HAZARD MAP .......................................................................................................................... 34 FIGURE 20: COMPARISON OF NDVI IMAGES OVER ANP (NORTH EASTERN PART OF IMAGE) AND SURROUNDING AREAS FOR 2003 (A)

    AND 2008 (B) ................................................................................................................................................. 35 FIGURE 21: FLOOD PRONE AREAS ................................................................................................................................ 36 FIGURE 22: MEAN ANNUAL FLOW OF AWASH RIVER AT METHARA ..................................................................................... 37 FIGURE 23: MONTHLY FLOW OF AWASH RIVER AT METHARA GAUGING STATION (1982-2009) .............................................. 37 FIGURE 24: LOG PEARSON TYPE III ANALYSIS (USING AVERAGE DAILY MAXIMUM FLOW VALUES) FOR AWASH RIVER AT METHARA

    STATION.......................................................................................................................................................... 38 FIGURE 25: WATER LEVEL OF BESEKA LAKE BETWEEN 2009 AND 2013 ............................................................................... 38 FIGURE 26: FIRE RISK MAP OF ANP ............................................................................................................................. 41 FIGURE 27: FLOOD RISK MAP OF ANP ........................................................................................................................... 42

    List of Plates

    PLATE 1: THICKET AT ANP ............................................................................................................................................ 9 PLATE 2: BUSH LAND (A) AND GRASSLAND (B) AT ANP .................................................................................................... 10 PLATE 3: GRASSLAND WITH TREES AT ANP .................................................................................................................... 10

  • Table of Contents

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    PLATE 4: GRASSLAND WITH SHRUBS AT ANP .................................................................................................................. 10 PLATE 5: RIVERINE FOREST AT ANP .............................................................................................................................. 11 PLATE 6: DOUM PALM AT ANP ................................................................................................................................... 11 PLATE 7: DIK-DIK AT ANP .......................................................................................................................................... 14 PLATE 8: SOEMMERING’S GAZELLE AT ANP .................................................................................................................... 14 PLATE 10: BIRDS AT ANP ........................................................................................................................................... 15 PLATE 9: HAMADRYAS BABOONS AT ANP ...................................................................................................................... 15 PLATE 11: GOAT AND SHEEP HERDS NEARBY ILALA-SALA PLAIN AT ANP ............................................................................... 19 PLATE 12: PART OF ADDIS-DJIBOUTI RAIL-WAY UNDER CONSTRUCTION AT ANP ................................................................... 20 PLATE 13: COMPARISON OF IMAGES OVER BESEKA LAKE (FROM LEFT TO RIGHT: 1973, 1986, 1998 AND 2014) ....................... 39 PLATE 14: NORTHERN PART OF LAKE BESEKA (AT THE BACKGROUND IS FENTALE MOUNTAIN) .................................................. 39

    List of Annexes

    ANNEX 1: LIST OF WILD ANIMALS AT AWASH NATIONAL PARK LISTED IN THE IUCN RED LIST .................................................... 49 ANNEX 2: NUMBER OF DOMESTIC ANIMALS AT KAS SURROUNDING AWASH NATIONAL PARK ................................................... 50 ANNEX 3: COMPARISON OF NO. OF LIVESTOCK IN FENTALE WOREDA BETWEEN 2008/09 AND 2013/14K ................................ 51

  • Acronyms

    ERCAND Consult Page vi

    Acronyms

    ANP Awash National Park

    ASTER Advanced Space-borne Thermal Emission and Reflection Radiometer

    CSA Central Statistics Agency

    DEM Digital Elevation Model

    EMA Ethiopian Mapping Agency

    EWCA Ethiopian Wildlife Conservation Authority

    FDRE Federal Democratic Republic of Ethiopia

    FIRMS Fire Information for Resource Management System

    GCP Ground Control Point

    GIS Geographical Information System

    GPS Global Positioning System

    HH House hold

    KA Kebele Administration

    LUPRD Land-use Planning and Regulatory Department

    m.a.s.l. meters above sea level

    MoARD Ministry of Agriculture and Rural Development

    MODIS Moderate Resolution Imaging Spectro-radiometer

    MSS Multi-Spectral Scanner

    NMSA National Meteorological Service Agency

    PA Protected Area

    PHE Population, Health and Environment

    SCIP Strategic Climate Institutions Program

    SDPASE Sustainable development of the protected area system of Ethiopia

    TM Thematic Mapper

    UTM Universal Transverse Mercator

    WBISPP Woody Biomass Inventory and Strategic Planning Project

    WGS World Geodetic System

  • Acknowledgment

    ERCAND Consult Page vii

    Acknowledgments

    This study was financed by the SCIP Project and the author would like to thank PHE-Ethiopia

    Consortium management and staff for providing the opportunities and facilitating the

    logistic support to conduct the study. The author appreciates and thanks Ato Tadesse Hailu,

    project coordinator and Mr. Adrian Young, Environmental Program officer at PHE-Ethiopia,

    for their valuable advice to improve the document. Thanks are also due to EWCA for

    permission to work and support in acquisition of data on the management plan of the park.

    Awash National Park Office and the management were also very supportive in facilitating

    the field work within the Protected Area; Ato Mamo Alemu and Ato Zerihun Ketema,

    wildlife experts at Awash National Park have also helped in the acquisition of ground data,

    provision of valuable description of habitats and wild animals frequenting it and arranging

    consultative meetings with sector Offices.

    Due appreciation also goes to the Department of Hydrology and GIS Section under the

    Ministry of Water and Energy for their prompt provision of data on discharge and water

    level and spatial data produced under the Awash basin studie. We acknowledge the use of

    FIRMS data and imagery from the Land, Atmosphere Near real-time Capability for EOS

    (LANCE) system operated by the NASA/GSFC/Earth Science Data and Information System

    (ESDIS) with funding provided by NASA/HQ. Gratitude is also due to Ato Arega Mekonen,

    SDPASE-GIZ national project coordinator, for provision of spatial data on Awash National

    Park.

    The author is very grateful to Ato Kidane Mengistu, General Manager, ERCAND Consult, Dr.

    Shiferaw Alem and Yehuala S. for support and providing comments on the draft document.

    Thanks are also due to Ato Temsgen Yohannes in the vegetation survey and Ato Hailu for

    assistance during the field work. Special thanks also goes to park scouts for assistance in

    vegetation survey and providing valuable information on habitats, staff members of Woreda

    Agricultural Offices in the administration of household level questionnaire and farm

    households at the KAs who have spent their precious time for providing responses.

  • Executive Summary

    ERCAND Consult Page viii

    Executive Summary

    This study presents the resource bases at Awash National Park (ANP) and examines future

    exposure to identified climate change impacts. The methodology used includes analysis of

    Landsat images to delineate the vegetation units and describe time-series land cover

    changes. Locations of wild animals inhabiting the park were also mapped based on field

    observation, documented data and discussions with key informants. Further, using basic

    climatic, historical river flow and lake level data, Digital Elevation Model (DEM), Normalized

    Difference Vegetation Index (NDVI) and FIRMS hot spots data analysis were made to

    evaluate exposure to hazards.

    Comparison of time series Landsat image over a period of 40 years on Awash national park

    showed that there is a reduction in size of the grassland units with most of the gain for

    grassland with shrub. A major driver of change at ANP was competition for grazing by

    domestic animals.

    Fire, proneness to drought, river flooding and lake level rise were the types of hazards faced

    by the protected area. An occurrence of fire hazard within the protected area was of

    anthropogenic origin. Most fire prone areas were also located in or adjoining areas where

    such activities are permitted.

    Fire risk assessment shows that 64.28% of ANP area was found in high fire risk areas and

    30.60% under moderate fire risk areas. An estimated 90% of land cover units whose major

    component is the grassland, namely, the grassland, grass with trees and grass with shrub,

    fall under high fire risk area. Likewise, about 24% and 73% of thicket and bush lands are

    found in areas categorized as high and moderate fire risk areas respectively. Analysis of the

    flood risk reveals that, of the 14.6 percent of the park area susceptible to flooding, 3.27

    percent had a very high and 17.17% a high risk of flooding. 3.25 percent of land cover

    classes in which the major component is the grassland, and a proportionate percent of

    thicket and bush lands fall under very high flood risk area. Findings will help strengthen

    efforts in appraisal of natural resources toward meeting challenges of climate change.

  • Section 1: Overview

    ERCAND Consult Page 1

    1. Overview of Awash National Park

    1.1 Introduction

    Toward meeting the multiple needs of communities while building resilience to future

    development and climate change, the core interventions of Population, Health and

    Environment Ethiopia Consortium (PHEEC) programs focus in situation where demographic

    trends put pressure on the environment and where natural resources degraded threaten

    human health and livelihoods (PHEEC, 2012).

    Ethiopia is known to possess some 284 wild mammal, 861 bird, 201 reptile, 63 amphibian,

    188 fish and 1225 arthropod species with about 10, 2, 5, 54, 0.6 and 21 per cent of

    endemism, respectively (IBC, 2009). Protected areas have significant value in the

    conservation and development of these resources. The Ethiopian government, in

    recognition of these, has put in place conservation mechanisms in a bid to protect wild

    animals from various disasters (FDRE, 2005). The wildlife conservation areas of the country

    are estimated to cover 158,200 km2 or about 14% of the country size.

    Despite the efforts made to conserve and develop the protected areas, there had been

    different pressures and mostly were of human origin. Furthermore, these are now

    exacerbated by climate change; the extent and degree in which climate change affects local

    level Protected Areas (PAs) are also little known. Awash National Park (ANP) was one of the

    first two national park gazetted in the country. In the past forty years since establishment,

    however, there are still a number of constraints that hinder the expected progress.

    Accordingly, understanding the nature and characteristics of the existing resources, trends

    in the past forty years, and the pressures now faced along with its exposure to climate

    change related stresses, shall help in developing mechanisms to protect and develop the

    resources.

  • Section 1: Overview

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    The first chapter of this paper provides the background and objective of the study and

    describes the study area. Chapter two explains the present land cover and examines the

    historical trends of land use and cover change. Chapter three discusses the habitat type and

    distribution within the park including habitat fragmentation and make reviews of pressures

    faced. Chapter four focuses on hazards related with climate change and is followed by the

    final chapter, which presents the conclusion and recommendations.

    1.2 Objective

    The general objective of this study was to assess the biological resource potential and values

    of the Awash and develop resource as well as climate risk maps.

    The specific objectives of this study were:

    a. to assess and develop baseline data for the terrestrial biological resources of Awash

    National park;

    b. to assess the biological resources present in the national park and their location in

    order to enable them to be conserved appropriately;

    c. to provide information for decision makers and justify the conservation and

    protection of the park ecosystems as a mechanism to eradicate poverty and mitigate

    and adapt to climate change; and

    d. to create climate change risk profiles that cover all the major hazards (floods,

    droughts, forest fires, landslides etc.) prevailing in and around Awash National Park.

    1.3. The study areas

    1.3.1 Location

    Awash National park, is found some 220 Km East of Addis Ababa in the Awash basin, part of

    the Great Rift, between 8o40' and 9o9' North and 39o50' to 40o10' East (Figure 1).

    Administratively, it is located between the Afar and Oromia Regional states. Two districts

    from the former in the east and north east and four districts from the latter in the North-

    west, west and south bound the national park.

  • Section 1: Overview

    ERCAND Consult Page 3

    Figure 1: Location map of the study areas

    1.3.2 Topography

    Altitudinal variations in ANP range between 740 near the hot spring to 1820 m.a.s.l at top of

    Mt. Fentale. Lake Basaka lies to the southwest of the park; some 3.6 kms from the park

    boundary towards north and some 10 Kms towards east (Figure 2).

    Figure 2: Profile graph: Beseka lake - top of Fentale Mountain – Hot spring at ANP

  • Section 1: Overview

    ERCAND Consult Page 4

    80% of the Awash national park area has slopes lower than 5 degrees, while the remaining

    area, particularly at Mt. Fentale and a nearby hill, has varying slopes; up to 70 degrees in

    certain places.

    1.3.3 Soil

    Based on the study made by FAO/LUPRD (1982), the dominant soil types found in the ANP

    are Lithic leptosols (36%), Eutric cambisols (35%) and Vertic cambisols (28%) with small

    occurrence of Eutric leptosols (1%).

    1.3.4 Water Resources and drainage

    Awash river passes in the south and south east part of the national park and forms part of

    the boundary between East Hararghe and Arsi zones of Oromia Region. The river makes a

    water fall, south of Gotu camp, before entering the gorges. Hot spring is also found at the

    far northern part of the park. Pastoralists and agro-pastoralists found around the park use

    the water to drink their animals. Two other man-made watering points are located within

    the park designed in the early days of the park to drink wild animals.

    1.3.5 Brief History of the Awash National park

    Awash National park, was gazetted in 1969. With respect to its area size, the ANP previously

    had an area of 760 km2, but since 2002 it was reduced to 598 Km2.

    It is believed that ANP is a haven for more than 78 mammals, including the Near threatened

    species like Beisa Oryx (Oryx beisa) and lesser kudu (Tragelaphus imberbis), and of more

    than 472 bird species, including six endemic (Yirmed and Girum, 2013).

    An effort had been made to introduce some species such as Ostrich (Struthio camelus) and

    Swayne’s hartebeest (Alcelaphus buselaphus swaynei) to the national park in the mid

    1970's. In the recent past, the park was Ostrich’s natural habitat, however, when the

    number declined and was on the verge of diminishing, reintroduction, including ostrich eggs

    from Alegedhi, had been made. Despite these, the population declined and the only

    remaining ostrich was killed by vehicle collision in 1995. At the same time, some 60

    Swayne’s hartebeests had also been introduced to the park from Senkele sanctuary;

    however, the effort had been unsuccessful as it survived only to the late 1990s. Similarly,

  • Section 1: Overview

    ERCAND Consult Page 5

    wild animals such as Bush duiker (Sylvicapra grimmia), African hunting dog (Lycaoii pictiis),

    buffalo (Syncerus caffer), Grevy’s zebra (Equus grevyi), black rhinoceros (Diceros bicornis)

    and African elephant (Loxodonta Africana) had once inhabited this national park.

    Tourists that have visited ANP in 2013/14 were 11,843. During the same time period, the

    tourism industry has generated 1.2 million ETB (of which 64,000 ETB is from penalties paid

    by trespassers).

  • Section 2: Land Cover Classifications

    ERCAND Consult Page 6

    2. Land Cover Classification

    2.1 Methodology

    2.1.1 Data set

    Data that characterize the protected areas and influence the fauna and flora existing within

    it are acquired and/or generated to form the individual layers for use in GIS analysis. These

    include raster and vector data, and other available historical survey and map data from local

    institutions and on-line databases.

    Landsat images acquired between mid 1970’s and 2014 are used to estimate the geographic

    extent, distribution and types of land cover changes in the two national park and their

    immediate surroundings. Overall eight cloud free scenes, from sensors including L8, TM and

    MSS, and taken between December and early January were used in the study.

    2.1.2 Preprocessing of Images

    The image scenes received were geo-referenced using GCP and the required atmospheric

    corrections were applied. Further, images were stacked, mosaicking and sub-setting to the

    area of interest done for proper investigation of land cover changes.

    2.1.3 Image Classification for land use and land cover mapping

    A preliminary land use land cover map (through unsupervised classification) was generated

    to help guide the field work. Data collection formats were also developed for vegetation

    survey and the collection of information on wild animals.

    The sampling design employed was stratified sampling. Adequate and representative

    ground data were collected from selected observation plots in December, 2014. At each

    plot, the species composition, percent cover of the different cover types, life-forms, and

    other relevant characteristic and information were recorded on prepaed formats along with

    GPS location data.

    Maximum Likelihood classification technique, which assumes that the statistics for each

    class in each band are normally distributed, was employed to classify the satellite images.

  • Section 2: Land Cover Classifications

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    Post-classification change detection method was employed to determine magnitude of

    change. To validate classification, reference data were collected separately and the

    associated statistics were generated.

    2.1.5 Land cover change detection

    Landsat images, acquired between early 1970’s and 2014, at an interval of 12 years, were

    analyzed to estimate the geographic extent, distribution and types of land cover changes in

    the protected areas. The time span selected between series of layers was determined based

    on availability of cloud free data and preferred season.

    Historical maps and data, depicting vegetation types and distribution, were used to identify

    cover units. These include studies made by LUPRD, WBISPP, Awash Basin Study and aerial

    photographs.

    2.1.6 Identification of change drivers

    Local level data on proximate factors was collected from sampled households of selected

    Kebele administrations that adjoin the national park, through discussions with key

    informants and on site observations. Questionnaires were administered at household level

    by individuals who have a good knowledge of the locality and its culture. A total of 31 HH

    were selected randomly from four KAs to conduct the survey. Furthermore, basic

    information such as population census, stock density and other available relevant

    documents and reports were collected from CSA and adjoining woreda administration and

    reviewed.

    2.1.7 Materials and tools

    ENVI 4.3 was used in the processing, analysis and display of raster data. Further more,

    ArcGIS had also been used for manipulation, editing and viewing of geographic and tabular

    data. SPSS was used for the analysis, conversion and presentation of collected HH data.

    Garmin 12 GPS and silva-compass were used for identification of waypoints (locate ground

    control points), registration of geographical coordinates in the description of land cover

    units and marking of training areas for signature definition, during the field survey.

    Furthermore, binoculars were used in habitat assessments, desktop and notebook

    computers were also used for entry, processing and analysis of different input data.

  • Section 2: Land Cover Classifications

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    2.2. Results and Discussion

    2.2.1 Present Vegetation types

    Based on classification of Landsat images, eight different land use / cover classes were

    identified in ANP (Fig. 3). Grassland with scattered shrubs (27.42%), Grassland with

    scattered trees (23.67%), Thicket (22.86%) and Bushland (14.26%) constitute the major

    cover types at Awash national park (table 1).

    Figure 3: Present Land use / cover map of ANP

  • Section 2: Land Cover Classifications

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    Table 1: Area sizes of land cover types

    Cover type / use Symbol Area (ha) Percentage Thicket F1 13479.00 22.86 Bush land F2 8409.00 14.26 Grassland F3 5685.67 9.64 Grassland with scattered shrubs F4 16168.67 27.42 Grassland with scattered trees F5 13957.67 23.67 Palm Forest F7 375.00 0.64 Exposed surface N 305.00 0.52 Lava flow L 587.00 1.00 TOTAL 58967.00 100.00

    2.2.2 Description of present land cover

    Thicket (F1) had a composition of trees, shrub, and grass between 5-20%, 10-15% and 25-

    55%, respectively (Plate 1). Exposed surface within the unit occupy 10-25%. Characteristics

    tree species found in the unit

    include Acacia senegal, Acacia

    tortolis, and Dobera glabra. A.

    mellifera is also dominant among

    the shrub layer while Balanites

    aegyptica and others are also

    present among others. The unit

    covers an area of 13479 hectare

    (22.8%).

    Bushland (F2) covers an area of 8409 hectare (14.3%). It is characterized by trees (

  • Section 2: Land Cover Classifications

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    Plate 3: Grassland with Trees at ANP

    Plate 2: Bush land (A) and Grassland (B) at ANP

    Grassland (F3) covers an area of 5685 hectare (9.6%) and is characterized by trees (0-1 %),

    shrubs (0-2%), grasses (80-90%) and bare lands (

  • Section 2: Land Cover Classifications

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    Plate 6: Doum Palm at ANP

    Plate 5: Riverine forest at ANP

    Riverine forest (F6) is located along the

    Awash river and is not mapped due to

    the spatial resolution of the classified

    image. Tree species found in the unit

    include Acacia etbaica, Celtis africana,

    Ficus sur, Grewia bicolor, Tamarindus

    indica, Ziziphus muro, and Z.

    mucronata. Saplings encountered

    include Z. mulenona, B. discolor, Z.

    mucronata, Acacia senegal and Ficus sur. Seedlings of and T. indica were also observed

    (Plate 5).

    Palm trees (F7) are located in the

    northern and north eastern part of the

    national park, around the hotspring

    (Plate 6). The unit covers an area of

    375 ha and the dominant species was

    Hyphaene coriacea.

    Marsh land (W): the unit is not mapped. It is located adjoining the hot springs and has a 96-

    100% real cover; water surface cover

  • Section 2: Land Cover Classifications

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    2.2.3 Land use / cover changes

    Class change analysis at ANP (Figure 4) shows that the most persistent and considerable

    change, in all measured time period, had occurred in the grassland unit. Between the end of

    1990’s and 2014 significant part of this cover type had gone to Grassland with shrub (34.6%)

    and an almost equivalent amount (29.14%) was changed to grassland with trees. Similarly,

    between the early 1970’s and mid 1980’s, two-third of the loss in grassland was a gain to

    Grassland with shrub. Since the early 1970s there were also regular, but significantly

    declining, changes in thicket.

    Figure 4: land use / land cover class change between 1973 and 2014 at ANP

    2.2.4 Drivers of Land cover Change

    The vegetation types at ANP had undergone changes in the studied period mainly due to the

    influence of over-grazing by domestic animals which came from different directions and

    destruction of trees.

    Majority of surveyed HH (70%) at ANP had also expressed their opinion that high number of

    animal population coupled with scarcity of grazing land and animal feed, especially during

    the dry season, had led to degradation of the vegetation. Other mentioned causes were also

    an increase in human population and occurrence of drought.

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    3. Wild Animals Habitat Mapping

    3.1 Methodology

    3.1.1 Data Set

    Input data on environmental variables were obtained from different sources and some are

    derived from existing data sets. Surface data including DEM from data centers of NASA and

    USGS and data on infrastructure were collected from local governmental institutions in geo-

    tiff and shape formats. Further, historical data on recorded wild animal density and other

    available information were collected from the two Park. Information on habitat

    requirements for selected species of the area was collected from different documents and

    in consultation with wild animal experts.

    3.1.2 Habitat assessment and mapping

    Field work was made between end of November and December 2014. Based on the

    preliminary land cover map and in consultation with wildlife experts and other key

    informants, data and information on wild animal habitats within the park were collected.

    These include data on habitat use, seasonality, and routes frequented. Further, location of

    animal watering places, frequent wild animal-vehicle collision areas and man-made features

    were registered. On areas which lacks vegetation information, survey of vegetation classes

    was also carried out in four transects and a total of 22 plots at ANP. Information gathered

    and observations made were registered in formats developed and in reference with

    registered points (GPS location). Along with the trend analysis, sampled HH were also

    interviewed in the historic type and abundance of wild-animals along with their personal

    views for the incline / decline observed. Habitat maps were produced through the analysis

    of generated and derived data sets in GIS and with the integration of ancillary data and

    information.

    ArcGIS 9.2 was used to manage and manipulate geographic data including DEM images. The

    software was also used to build and run habitat model. Garmin 12 GPS was used to register

    geographical location during inventory of existing land units and collection of other spatial

    information. Binoculars and digital cameras were used in the spotting and taking of pictures

    of wild-animals.

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    Plate 8: Soemmering’s gazelle at ANP

    Plate 7: Dik-Dik at ANP

    3.2 Results and Discussions

    3.2.1 Bio-Diversity of Awash National Park

    Wild animals like, Klipspringer (Oreotragus oreotragus), Salt’s dik dik (Madoqua saltiana),

    mountain Reed buck (Redunca fulvorufula), Jackal, and Crested Porcupine (Hystrix cristata)

    inhabit the bush land and thickets (Plate 7).

    Caracal (Felis caracal) favors the thicket as

    well the grassland area, especially toward

    mid northern part of the park. In the wet

    season species like Lesser kudu (Tragelaphus

    imberbis) were mainly localized to areas

    where the units adjoin water bodies, such

    as west of Gotu camp. The geographical

    distribution of these two unit ranges from

    the side and foot slope of Fentale mountain to the undulating and flat lands at the center

    and far eastern parts of the park. Tree species such as Acacia senegal, A. tortolis, A.

    mellifera, A. nilotica, Dobera glabra, Grewia spp, Balanites spp., Celtis spp., Ziziphys spp.,

    and Grewia spp are found in these units.

    The grass land, the grassland with trees, and

    grassland with shrubs (Plate 8) are the main

    habitat of Beisa Oryx (Oryx beisa),

    Sommerring’s gazelle (Gazella

    soemmerringi), and warthog (Phacochoerus

    aethiopicus). These species, during the dry

    season, visit the thickets for food (browsing).

    Swayne’s hartebeest (Alcelaphus buselaphus

    swaynei) and Ostrich (Struthio camelus)

    once also exclusively inhabit these units.

    Warthog (Phacochoerus aethiopicus), is

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    Plate 9: Hamadryas Baboons at ANP

    mostly confined to peripheries of the unit adjoining the water areas during the dry season,

    however, during the wet season didn’t show particular affinity towards any.

    The grass land, marshy area and the

    adjoining cliff nearby the hot spring

    provide habitat for Rock hyrax (Procavia

    capensis) and Hamadryas baboons

    (Papio hamadryas); range for the latter

    extends as far to south-eastern parts of

    the park (Plate 9). Warthog

    (Phacochoerus aethiopicus) and

    Waterbuck (Kobus ellipsiprymnus) are

    also found in the dry season. Lion

    (Panthera leo) and leopard (Panthera

    pardus) are mostly found in the mountainous areas on the central part of the park and visits

    almost all identified units.

    Many bird species are found distributed in the park land (Plate 10). The riverine forest and

    the marshy areas around the hot spring were some of the places where numerous bird

    species are observed.

    Plate 10: Birds at ANP

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    The riverine forest is mainly composed of tree and shrub species like Acacia etbaica, Celtis

    spp, Ficus species, Grewia Bicolor, Tamarindus indica, Trichilia spp., B. discolor Acacia

    Senegal, Ziziphus muro, and Z. mucronata. The unit provides habitat for Colobus monkey

    (Colobus guereza), Grivet monkey (Chlorocebus aethiops) and Anubis baboons (Papio

    anubis), among others.

    The adjoining water-bodies are also habitats for species like crocodile and hippopotamus

    (Hippopotamus amphibius). Waterbuck (Kobus ellipsiprymnus) was also found along awash

    river but at present mainly near marshy lands at hot spring area; during the wet season,

    when human and domestic animals interference is at its low, it can spent most of its time in

    the grassland, otherwise feed during the night and remain in the adjoining thicket during

    the day.

    3.2.2 Trends in Number of Wild-animal Population

    Available census data indicate that the number of Beisa Oryx (Oryx beisa) and Soemmering’s

    gazelle (Gazella soemmerringi) population has declined between 2008 and 2010 at ANP

    (Figure 5). The number of Salt’s dik dik (Madoqua saltiana), common warthog

    (Phacochoerus aethiopicus) and spotted hyena (Crocuta crocuta), however, had shown an

    increment of approximately 200 each between 2008 and 2010. The present distribution of

    some wild animals in the national park is shown in Figure 6.

    Figure 5: Change in number of species for some wild animals occurring in ANP between 2008 and 2010

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    Figure 6: Map depicting the present distributions of some wild animals at ANP

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    3.2.3 Habitat Fragmentation

    IPCC (2002) had emphasized that changes in ecosystem and attendant loss of biodiversity

    are caused by land use cover changes and habitat fragmentation, among others. Further,

    Fischlin et. al. (2007) have stated that the present and future land-use change and

    associated landscape fragmentation are very likely to impede species’ migration and thus

    impair natural adaptation via geographical range shifts. Studies also show that (Barbara

    et.al, 2009) fragmentation leads some species to become more abundant while make others

    decline to local or regional extinction.

    In the past 40 years, the vegetation units in Awash National Park have undergone changes in

    area size and distribution patterns of vegetation unit. The major identified anthropogenic

    causes of fragmentation are described below.

    3.2.3.1 Deforestation and Degradation

    Overgrazing by domestic animals, collection of wood and expansion of farmlands were the

    main factors causing deforestation and degradation in the national park.

    3.2.3.1.1 Expansion of Cultivated Land

    In 2002, WBISPP had also carried out an indicative study on the population support capacity

    of rain-fed cropland in order to determine the capacity of the land to support the current

    and projected populations, that is, the degree of population pressure. Based on this study

    the potential limit for Fentale woreda has been much exceeded and was categorized as

    critical (Table 2).

    Table 2: population support capacity analysis for Fentale woreda (source: WBISPP)

    ZONE wereda Total rural population Potential total

    population

    current/ potential

    (%)

    yr 10/ potential

    (%)

    yr 20/ potential

    (%) Category

    East Shewa Fantale 56,768 6,506 873% 1206% 1666% Critical

    After the re-demarcation of Awash National Park boundary in 2012, parts of the left out areas was converted to agricultural plots.

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    Plate 11: Goat and sheep herds nearby Ilala-Sala plain at ANP

    3.2.3.1.2 Competition from Grazing by Domestic Animals

    During the rainy season domestic animals graze around homesteads. However, starting

    from the onset of the dry periods, between mid-October and end of May, herders, from the

    surrounding areas of ANP most often

    send their cattle, goats and sheep to

    other areas, including the park, for

    grazing (Plate 11). Most frequented

    areas of grazing in the national park

    include Mt. Fentale and its

    surrounding, the mid eastern, and

    southern (including Ilala Sala plane)

    parts of the national park.

    3.2.3.1.3 Collection of Fuel and construction wood

    No data on the amount, season and intensity of collection of fuel and construction wood

    was available. However, considering that 100% of the surveyed HHs use biomass as the

    main source of cooking and heating and noting that in the Ethiopian context the average

    estimated annual consumption is 560kg, it can be inferred that there is high pressure on the

    national park.

    3.2.3.2 Infrastructure development

    Addis-Djibouti Rail way

    Since the early 1900’s, the rail way linking Addis and Djibouti town passes between the mid-

    eastern and south-western part of the Awash national park for approximately 26 Km, and

    was not functional for the past decade or so. Nevertheless, a new railway is under

    construction (Plate 12), and unlike the previous old railway, it shall support modern and

    faster ones. The route shall also probably be fenced throughout its passage with mesh-wire

    to avoid collision. In line with this, park authorities have asked for the construction of

    underpasses / overpasses at different points along the route to allow movement of wild

    animals.

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    Plate 12: Part of Addis-Djibouti Rail-way under construction at ANP

    One big concern is related with time of adaptation of some species with the proposed over

    and/or underpasses. The habitat of Oryx, for example, are found in both sides of the

    railway; it frequents the southern side most often during the dry season but also moves to

    the northern side at the onset of the rainy season and when the number of domestic

    animals decrease. Oryx stays there mostly till the end of the wet season, by which time

    availability of water reduced and number of domestic animals rise, then returning to the

    southern parts.

    Settlements

    Awash town was expanding at a faster rate towards the boundary lines of ANP. Associated

    with it, human interference, and as witnessed in most other towns, disposal of urban waste

    would be one of the major problems that would be faced in the near future. Further,

    intensity of fuel wood collection and intrusion into the park area would be more aggravated.

    3.2.3.3 Impacts of Fragmentation

    Based on collected HH data, the numbers of baboons in the national park and adjoining KAs

    have increased while that of most other animals had decreased, especially in the past 5 to

    15 years. One of the main habitats for species such as baboons is peripheries of wood and

    bush lands.

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    Figure 7: Frequent road kill areas by species type at ANP

    Figure 8: Cross section view of road crossing ANP

    3.2.4 Other Pressures

    3.2.4.1 Road Kill

    Available records show that there were a number of road kill at ANP in the past years. A

    number of wild animals, such as Oryx beissa, Lesser kudu (Tragelaphus imberbis),

    Hamadryas baboon (Papio hamadryas), Hyena (Crocuta crocuta), Civet (Vivera civetta), as

    well as many baboons and big birds were killed on the road (Figure 7).

    In 2013/14 some eight Oryx and

    three lesser kudu were killed among

    others. The figures, however, were

    much underestimated, as it was

    based only on data registered at the

    traffic office. Further, it was believed

    that the killing of a single wild animal

    can bring more collision, especially

    carnivores.

    Some of the Oryx were killed on the flatlands while most others at a junction towards

    Awash town and where the inclination starts. Other animals were killed on areas which have

    gentle to moderate slope

    (Figure 8). Vehicles speed

    and fragmentation of

    habitats could be the major

    causes for the disaster.

    During the first week of the

    field work at ANP, humps were constructed in some six places on part of the Addis – Dire

    Dawa highway that crosses the park, to lower the speed of vehicles.

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    3.2.4.2 Alien Invasive Species

    The invasive tree species, Prosopis julliflora, which is widely spread in the adjoining Afar

    plains, was slowly penetrating to the ANP from the NE and Eastern part. The species is

    known for its aggressive expansion and invading characteristics. Different studies show that

    and interviewed HH are evidence for, one way in which the introduction and spread of the

    species is associated with the movements of animal herds from one area to another.

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    4. Climate Change Risk Profiles

    4.1 Objective

    Specific objective of this study was to create climate change risk profiles that cover all the

    major hazards prevailing in and around the Awash National Park.

    4.2 Methodology

    4.2.1 Data Set

    Ten years climatic data from meteorological stations at Methara (ANP) was collected from

    the National Meteorological Service Agency (NMSA). The basic parameters that were

    considered in the analysis are monthly rainfall and monthly temperature.

    Surface and atmospheric data files including archive fire from FIRMS1

    4.2.2 Hazard Assessment

    , surface topography

    such as digital elevation model (DEM) and vegetation indices are acquired in geo-tiff and

    shape formats from data centers of NASA and USGS. Climatic data were also acquired from

    FAO. Classified land use and land cover map and other derived data are also used in the

    analysis.

    Historical data on Awash river discharge at different locations and Beseka water level data

    were obtained from the Hydrology department of Ministry of Water and Energy. Perennial

    and intermittent river features and surface water bodies found within the study areas were

    extracted and digitized from topographic maps.

    Data and information on hazards that have occurred in and around the national park and its

    impact were collected from archived records obtained from Woreda Bureau of Agriculture,

    in discussion with pertinent officials and key informants, household level survey and direct

    observation.

    1 MCD14ML: This data set was produced by the University of Maryland and provided by NASA FIRMS operated by NASA/GSFC/ESDIS with funding provided by NASA/HQ Available on-line https://earthdata.nasa.gov/active-fire-data#tab-content-6

    https://earthdata.nasa.gov/active-fire-data#tab-content-6�https://earthdata.nasa.gov/active-fire-data#tab-content-6�

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    4.2.2.1 Fire hazard Assessment

    Distribution of archived fire data were analyzed and described in terms of spatial

    distribution and frequency. FIRMS Fire hot-spots are acquired by the MODIS instruments,

    on board NASA’s Terra and Aqua Earth Observing System (EOS) satellites. A MODIS active

    fire detection represents the center of an approximately 1km pixel flagged as containing one

    or more actively burning hotspots/fires. Fire detection is performed using a contextual

    algorithm that exploits the strong emission of mid-infrared radiation from fires. The

    algorithm examines each pixel of the MODIS swath, and ultimately assigns to each one of

    the following classes: missing data, cloud, water, non-fire, fire, or unknown (EOS-DIS, 2009).

    Input data were used to estimate the fire prone areas at the study sites. The present land

    use and land cover map, as part of it include the vegetation cover, data on slope, aspect,

    elevation, proximity to road and to settlements were the variables selected as an input to

    the model.

    Initially, each selected variable were reclassified and categorized between classes. Class

    categorization of each variable was made between the ranges of very high to very low

    (Figure 9).

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    Figure 9: Maps of weighted variables

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    Further, environmental and anthropogenic factors that strongly influence the ignition and

    spread of fire in the PA are selected and parameterized with the relative degree of influence

    each has on the fire danger (Table 3). Variables weighted include the present land cover

    classification, slope, aspect, distance from roads, distance from settlements and elevations.

    Table 3: Variables and weight factor used in fire hazard mapping

    Variable Assigned weight

    Land cover 66

    Slope 20

    Aspect 7

    Distance from Road 3

    Distance from Settlements and towns 3

    Elevation 1

    Total 100

    A model widely used in the determination of fire hazard was used to delineate areas

    susceptible to fire.

    4.2.2.2 Drought hazard Assessment

    In order to determine the impact of drought on wild animals, assessment of NDVI values

    between a known drought (2003) and non-drought period (1995) was made to determine

    the vegetation unit most affected by the drought.

    Vegetation indices were generated from Landsat TM images. The Normalized Difference

    Vegetation Index (NDVI) was computed using:

    NDVI =NIR − REDNIR + RED

    Where NIR is reflectance in the near infrared (band 4 of landsat TM) and Red is reflectance

    in the red wavelengths (band 3 of landsat TM).

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    4.2.2.3 Flood hazard Assessment

    Derived and acquired data sets including slope (derived from digital elevation model),

    drainage density, soil type, present land use and land cover and elevation data were used as

    input in flood hazard assessment. The main flooding factors were reclassified into groups

    and ranked based on significance / influence on the hazard (Table 4).

    Table 4: Factors used in Flood Hazard Assessment

    Factor Sub-factor Rank Description

    Slope

    27.109-79.120 5 Very high 16.496-27.109 4 High 8.966-16.496 3 Moderate 4.033-8.966 2 Low 0-4.03 1 Very low

    Drainage density

    0.365-0.568 5 Very high 0.249-0.365 4 High 0.149-0.249 3 Moderate 0.047-0.149 2 Low 0-0.047 1 Very low

    Soil type

    Vertic cambisols 5 Very high Lithic leptosols 4 High Eutric fluvisols 3 Moderate Eutric cambisols 2 Low Eutric leptisols 1 Very low

    Land use and land cover type

    Exposed surface 4 V. High Cultivated land 3 High Grassland 2 Moderate Thicket/bush land 1 Low

    Elevation

    760-920 5 Very high 920-1080 4 High 1080-1320 3 Moderate 1320-1600 2 Low 1600-1960 1 Very low

    The standardized map layers were then assigned weights based on their relative importance

    and normalized by the sum of weights. Accordingly, weights of 33.33, 26.67, 20.00, 13.33

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    and 6.67 were assigned for slope, drainage density, soil type, land use / cover type and

    elevation respectively. GIS based weighted linear combination was used to derive flood

    hazard areas.

    Furthermore, Awash river discharge and Beseka lake level data were processed using Log

    Pearson Type III analysis.

    4.2.3 Risk Assessment

    Based on integration of derived data on hazard and information on the elements at risk,

    assessment of risk was made using weighted overlay. Ranking was made based on relative

    importance attached and categorized from very high to very low. Available data on previous

    impacts were also reviewed.

    4.3 Results and Discussions

    4.3.1 Climate

    4.3.1.1 The Present Climate of ANP

    The total mean annual rainfall for Methara, nearby ANP, is about 496 mm. The area receives

    60% of the total rain fall between July and September and some 25% between March and

    May (Figure 10).

    Figure 10: Mean Monthly Rainfall: Methara.

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    The mean maximum and mean minimum temperature over Methara, 944 m.a.s.l, is 34.0

    and 17.8OC, respectively. In December, the mean maximum and mean minimum

    temperatures are at the lowest and in June at their highest (Figure 11).

    .

    Figure 11: Mean Monthly Temperature: Methara.

    The spatial pattern of temperature in ANP (Figure 12) shows that, except the northern and

    mid western (Fentale Mountain) parts, most other parts have temperature in between 20

    and 22.5oC.

    Figure 12: Thermal zones

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    At national level, a study (NMSA, 2005) showed that there has been a warming trend in the

    annual minimum temperature over the past 50 years and an increase by about 0.370C in

    every ten years. However, even though there were fluctuations, rainfall for the same period

    had remained more or less constant when averaged over the whole country.

    4.3.1.2 The Future Climate

    A study by NMSA (2005) also showed that, for the IPCC mid-range (A1B) emission scenario,

    the mean annual temperature will increase in the range of 0.9 -1.1°C by 2030, in the range

    of 1.7 - 2.1°C by 2050 and in the range of 2.7-3.4°C by 2080 over Ethiopia compared to the

    1961-1990 normal. A small increase in annual precipitation is also expected over the

    country.

    4.3.2 Hazards Assessment

    4.3.2.1 Fire Hazard

    4.3.2.1.1 Fire Frequency

    In between 2001 and 2013 there had been 26 fire incidences at Awash national park. Of

    these, seven each had been recorded in year 2012 and 2013. Furthermore, 54% of the hot

    spots observed between 2001 and 2013 had occurred in just two years, 2012 and 2013

    (Figure 13).

    Figure 13: Number of fires observed by year at Awash National Park

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    The seasonal distribution of fire incidence at ANP (Figure 14) shows that most fire

    incidences had occurred between early October and end of December, after which it shows

    sharp decline in the month of January. Afterwards, it starts to rise again, rather slowly, and

    reach its second peak in the month of May.

    Figure 14: Number of fires observed by month at Awash National Park

    Including the surrounding areas, February, May and December are the months in which fire

    occurrences were most observed (Fig. 15). This implies that most fires had occurred at the

    end of the dry season and a month or two before the onset of the rainy season.

    Figure 15: Number of fires observed at Awash National Park and surrounding areas by month

    Considering the adjoining KAs, the number of fires recorded is proportionally very high at

    the vicinity of Merti sugar Factory (Figure 16), where frequent firing of sugar cane fields

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    were practiced at different times annually. Merti-sugar, adjoins the national park in the

    south western side, in between, there is Awash river.

    Figure 16: Distribution of fire points in the KAs surrounding ANP

    Still, year 2012, 2013 and 2014 were the years in which most fire occurrences had been

    observed (Figure 17)

    Figure 17: Number of fires observed per year at Awash National Park and surrounding areas

    The spatial distribution of fires (Figure 18) shows that there were accumulations of fire

    points at three areas; in far north, mid-eastern and central parts.

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    Figure 18: Location of Fire pixels in ANP and the surrounding areas

    Within the national park, the main causes of fire are believed to be careless throwing of

    cigarette butts from passing vehicles and passenger trains as well as from car exhaust.

    Overlaying the road network, the argument can easily be justified, as some of the fire pixels

    are observed near it (Figure 18) and probably explaining the causes for the central part. In

    the far northern part, unlike Merti-sugar, at southwest, there is no major river that can

    potential hamper the propagation of fire from kesem irrigated areas.

    Based on HH interviews conducted in adjoining KAs under Afar Region, the most probable

    causes of fire in the mid-eastern part of the park could be charcoal production.

    The main road is now made much wider (since 1994 / 95) and the old rail way has stopped

    functioning (since some 5 to 8 years) and a new one is under construction.

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    4.3.2.1.2. Fire Prone Areas

    Fire hazard areas identified at ANP (Figure 19) shows that most of the high fire hazard areas

    are located at and near Fentale Mountain. The high fire hazard area covers 17.20% of ANP.

    Almost half of ANP area is categorized under moderate (47.08%), 30.60% as low and some

    5.00% as very low to none fire hazard areas.

    Figure 19: ANP - Fire Hazard Map

    4.3.2.2 Drought Hazard

    Comparison of NDVI values between a known drought (2003) and non-drought period

    (2008) show that there were changes in the NDVI values over the national park.

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    The mean NDVI values for year 2003 images (drought year) was -0.064733 with a standard

    deviation of 0.253738 while that of year 2008 was -0.055139 with a standard deviation of

    0.238072 (Figure 20)

    Figure 20: Comparison of NDVI images over ANP (North eastern part of image) and surrounding areas for 2003 (A) and 2008 (B)

    4.3.2.3 Flood Hazard

    4.3.2.3.1 Flood Prone Areas

    3.91 percent of ANP area was categorized as very high flood prone area. 20.34 , 33.56, 29.47

    and 12.72 percent of the PA were also assigned as high, moderate, low and very low hazard

    areas respectively. Very high hazard areas are located in the north and north western part

    of the national park (Figure 21).

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    Figure 21: Flood Prone Areas

    4.3.2.3.2 Flood Frequency

    Based on a 28 years instantaneous daily flow data for Methara (gauging station 032003)

    estimates of discharges associated with different return periods have been calculated to

    infer the probability of future Awash river water level.

    The mean annual flow of Awash river, at Methara gauging station, in 1983, 1993, 1999 and

    2007 had exceeded 40m3/s (Figure 22).

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    Figure 22: Mean Annual Flow of Awash River at Methara

    It should be noted that, most of the flow from the upper awash basin are regulated at Koka

    reservoir, located some 110 km south-west of the Methara gauging station, with proper

    notification on the release. However, there exist a proportional area of catchment between

    the reservoir and the gauging station at Methara that contribute to the observed flow.

    Figure 23: Monthly Flow of Awash River at Methara gauging station (1982-2009)

    The monthly flow of Awash river shows high variation between August and September

    (Figure 23). Accordingly, high water flow that can potentially overtop the natural levee of

    the river could be expected during this time period. Within ANP, river flooding occurs in the

    SW part of the river path, before cascading into the gorge, and affects the immediate

    surroundings of its path.

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    Flood frequency, using Log Pearson Type III analysis for Awash river at Methara station is

    shown in Figure 24.

    Figure 24: Log Pearson Type III Analysis (using average daily maximum flow values) for Awash River at

    Methara Station

    4.3.2.3.3 Beseka Lake Level

    Ten years (1997- 2009) daily water level data records for Beseka lake, located some 11

    kilometres south east of the ANP, shows that the water level is continuously on the rise (Fig

    25). Between March, 2009 and March 2013, Beseka lake has shown a 0.85 meters rise.

    Figure 25: Water level of Beseka lake between 2009 and 2013

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    The expansion of the lake, based on satellite images acquired (Plate 13) shows a substantial

    increase in area size between early 1970’s and 2014.

    Plate 13: Comparison of images over Beseka Lake (from left to right: 1973, 1986, 1998 and 2014)

    Studies (Girma et.al., 2005) show that major causes of degradation were accelerated soil

    erosion by wind and water, increasing salinization of soils and near-surface groundwater

    supplies and a reduction in soil moisture retention. Same study further note that, in turn

    these has led to an increase in surface runoff and stream flow variability, a reduction in

    species diversity and plant biomass, and a reduction in the overall productivity in dry land

    ecosystems with an attendant impoverishment of the communities dependent on these

    ecosystems.

    Plate 14: Northern part of Lake Beseka (at the Background is Fentale Mountain)

  • Section 4: Climate Change Risk Profile

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    4.3.3 Vulnerability Assessment

    Hazard affects wild animals mainly through habitat modification (Kennedy and Fontaine,

    2009). Even though, the extent, size, life form and combination of vegetation types required

    by wild animals differ from one species to another, in general, habitat provide shelter, food

    and water, and space in which the survival and continuity of wild animals depend (Yarrow

    G., 2009).

    Awash national park is also surrounded by pastoralist and agro-pastoralist communities,

    whose livelihood depend on the range and agricultural lands. Number of human and

    livestock in the adjoining KAs were given in Annex 2.

    4.3.4 Risk Assessment

    An occurrence of hazard within the park might potentially affect the size and species

    composition of habitat and the fauna that depend on it. Further, it will also affect the

    livelihood of local community who mainly graze their livestock on the range lands.

    Disruption of tourism may also decrease revenue and income derived by business operators

    in the area.

    4.3.4.1 Fire Risk

    64.28% of ANP area was found in high fire risk areas and 30.60% under moderate fire risk

    areas, together these constitutes almost 95%. The remaining 5% fall under low and very low

    fire risk areas. An estimated 90% of land cover units whose major component is the

    grassland, namely, the grassland, grass with trees and grass with shrub, fall under high fire

    risk area. Likewise, about 24% and 73% of thicket and bush lands are found in areas

    categorized as high and moderate fire risk areas respectively (Figure 26).

  • Section 4: Climate Change Risk Profile

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    Figure 26: Fire Risk Map of ANP

    4.3.4.2 Drought Risk

    There are no sufficient census data to determine the impact of drought on wild animals,

    nevertheless, most farmers, based on frequency of visit at their locality, are of the opinion

    that the 2003 drought has a strong influence especially on Warthog.

    In year 2002/2003, about 9,372 households holding 56,313 family members residing in

    Fentale district were affected with drought; translated to 81.21% of the total district

    population. With this drought, it was estimated that about 62,234 cattle, 19,466 sheep and

    11,908 goats were dead (BoFED, 2011).

  • Section 4: Climate Change Risk Profile

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    4.3.4.3 Flood Risk

    Of the estimated 598 km2 total area of ANP, 14.6% is susceptible to flooding. Of these, 3.27

    percent is categorized as having a very high risk of flooding and 17.17% as a high flood risk

    area. The remaining 33.61%, 30.76% and 15.18% are delineated under moderate, low and

    very low flood risk areas (Figure 27).

    3.25 percent of land cover classes in which the major component is the grassland, namely

    the grassland, grassland with trees and grassland with shrubs units, fall under very high

    flood risk areas, while 17.26, 29.10, 35.56 and 14.84 percent were under high, moderate,

    low and very low flood risk areas respectively. Similarly, 3.46 % of the thicket and bush lands

    fall under very high flood risk area whereas 16.13%, 38.95%, 25.35% and 16.12% of these

    units are found in the high, moderate, low and very low flood risk areas respectively.

    Figure 27: Flood Risk map of ANP

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    Flooding affects the local community surrounding the PA. Flooding from Awash River

    retreats within few hours and deposit sediments. Areas mostly affected by flooding are

    localized on the plane areas along the course of the river. Considering the nutrient level of

    the sediment deposited and effect on productivity, unless otherwise it occurred untimely

    and devastates cropped lands, farmer’s perception towards Awash river flooding is not

    negative as that for Beseka lake level rise. The latter, which is saline and showed no retreat

    in months have rendered farmlands productivity low and forced abandonment of most

    nearby agricultural lands and residential quarters.

  • Section 5: Conclusions and Recommendations

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    5. Conclusions and Recommendations

    5.1. Conclusions

    Identified land cover classes at ANP were subjected to changes of different scale in the past

    forty years. Among these, the most significant one was the decline in the area size of

    grassland. The major causes for the decline in area size differ in the time period studied.

    Significant ones include the deforestation and degradation of the vegetation through

    extraction of wood, overgrazing and expansion of cultivation.

    Time-series comparison of census data revealed that there was a decline in the number of

    Oryx beisa. Changes in the observed land use and cover classes might have significant

    impact on the composition and abundance of wild animals in the national park.

    Studies also reveal that the national park was exposed to climatic variations, especially

    related with temperature. Moreover, risk analysis shows that the national park and

    surrounding areas was exposed to fire, drought and flood hazard of different degrees. Some

    64.28% of ANP were exposed to high fire risks and some 3.27 percent to very high risk of

    flooding.

    The national park possesses significant number of wild animals, including mammals and

    birds that are endemic to Ethiopia. Beyond the ecosystem goods and services, the park has

    the potential to generate a substantial amount of economic and social benefit from the

    tourism industry such as livelihood diversification and job creation. These will help

    contribute to the government plan for poverty reduction.

  • Section 5: Conclusions and Recommendations

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    5.2. Recommendations

    In order to support the ongoing efforts toward the conservation and overall development of

    the protected area in general and resilience to climate change in particular the followings

    are recommended:

    • Developing monitoring system, deployment of the required material and training of

    personnel is required to minimize risk and, on the occurrence of one, for an effective

    response to any identified hazard.

    • There is a need to collate the existing documents on traits of wild animals found in

    the country, if not available, to conduct brainstorming workshops in which wild

    animal experts would provide the scientific basis that help determine the interaction

    in face of climate change.

    • There probably exists a wide range of spatial and non-spatial data related to the bio-

    physical and environmental characteristics of wild animals, park, etc. in the country.

    However, such data, at least, are not available at park levels. It is therefore, very

    important and timely to develop a geo-data base and migrate all available maps into

    this for a better retrieval, storage and analysis (can be linked with the existing web

    page of EWCA, access if necessary, can be with permission).

    • Studies (Girma et.al.) show that the quality of Awash river had underwent

    considerable changes in the past; some parts of it are also not frequented by

    herders; it is thus timely to test the water quality of Awash River at different location

    and salinity level of near-surface water to consider alternatives based on results.

    • Sustainable development can be achieved when local communities are in direct

    benefit from the ANP. Therefore, as suggested by NOPA (1992), there is a need to

    establish park revenue sharing schemes that can, based on prioritized needs of local

    community, be directed toward animal health and feed, supplementing current

    efforts underway by the Fentale woreda office of Pastoralist and Agro-pastoralists in

    nearby KAs of Oromia region and improved water supply.

    • It is imperative to conduct carrying capacity assessment of the grassland,

    composition of the herbaceous layer; including seasonal differences in dry mass.

  • Section 5: Conclusions and Recommendations

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    • The location, size and probably length of under and over passes, currently under

    construction should be reconciled in consideration of the biological traits of wild

    animals found in the park and that can potentially be re-introduced into the park.

    • Whatever possible interventions made to stop the encroachment and overgrazing of

    domestic animals shall minimize the risk of invasive species.

    • Installment of road signs, at proper places nearby the newly constructed humps, is required to avoid breakdown of passing vehicles.

    • Anthropogenic impacts poses difficulties in the management of the wild animals

    found at the national park. Nevertheless, data to accurately quantify such activities

    are meager. It would be advisable to collect data on factors such as wild animal

    dispersal areas, number and distribution of domestic animals and season of use, as

    well as fuel collections and use of adjoining kebeles and production and sale of

    charcoal.

  • References

    ERCAND Consult Page 47

    6. References

    Barbara Wilson, Leonie Valentine, Janine Kinloch, Tracy Sonneman, Marnie Swinburn, 2009.

    Habitat Loss and Fragmentation IN: Biodiversity values and threatening processes of

    the Gnangara; Editors: Barbara A. Wilson and Leonie E. Valentine

    BoFED, 2011. Socio-economic profile of Fentale woreda.

    Chuvieco, E. and Congalton, R. 1989. Application of Remote Sensing and Geographic

    Information Systems to Forest Fire Hazard Mapping. Remote Sensing and

    Environment, 29: 147-159.

    Engstrom, R.T. 2010. First-order fire effects on animals: review and recommendations. Fire

    Ecology 6(1): 115-130. doi: 10.4996/fireecology.0601115

    EOS-DIS, 2009. Active Fire Data. Retrieved on March 06, 2015 from EOSDIS Earth Data

    website.

    FAO/LUPRD, 1982. Soil association map of Ethiopia, Technical document 6.

    FDRE, 2005. wildlife strategy. Addis Abeba

    Fischlin, A., G.F. Midgley, J.T. Price, R. Leemans, B. Gopal, C. Turley, M.D.A. Rounsevell, O.P.

    Dube, J. Tarazona, A.A. Velichko, 2007: Ecosystems, their properties, goods, and

    services. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution

    of Working Group II to the Fourth Assessment Report of the Intergovernmental

    Panel on Climate Change, M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden

    and C.E. Hanson, Eds., Cambridge University Press, Cambridge, 211-272.

    Girma Taddese, Kai Sonder and Don Peden, 2005. The Water of the Awash River Basin A

    Future Challenge to Ethiopia, ILRI.

    Greg Yarrow, 2009. Habit Requirements of Wildlife: Food, Water, Cover and Space.

    Cooperation Extension’s Forestry and Natural Resources Team, Clemson University.

    Institute of Biodiversity Conservation, 2009. Convention on Biological Diversity, Ethiopia’s

    4th Country Report, Addis Ababa.

    IPCC, 2002. Climate change and biodiversity. Technical paper IV.

    IUCN SSC Antelope Specialist Group 2008. Oryx beisa. The IUCN Red List of Threatened

    Species. Version 2014.3. . Downloaded on 26 January 2015.

    MoARD, 2005. Wildlife Development, Protection and Utilization Policy and Strategy, Addis

    Ababa.

  • References

    ERCAND Consult Page 48

    NMSA, 2007. Climate Change National Adaptation Programme of Action (NAPA) of Ethiopia,

    Editor: Abebe Tadege "Preparation of National Adaptation Programme of Action for

    Ethiopia”, GEF / UNDP. Addis Ababa, Ethiopia.

    NOPA, 1992. Pastoralists at a cross road: Survival and development issues in African

    Pastoralism.

    Kennedy P. L. and Fontaine B. J., 2009. Synthesis of Knowledge on the Effects of Fire and Fire

    Surrogates on Wildlife in U.S. Dry Forests, Special Report 1096. Extension and

    Experiment Station Communications, Oregon State University.

    PHE, 2012. Three years Strategic plan of PHE Ethiopia Consortium, 2011 – 2013. Addis

    Ababa.

    WBISPP, 2002. A strategic plan for the sustainable development, conservation, and

    management of the woody biomass resources, Volume 5, Methodology: Land Use

    Systems Analysis.

    Yirmed and Girum, 2013. Birds of Awash National Park, Revised Check list.

  • Annex

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    Annex 1: List of wild animals at Awash National Park listed in the IUCN Red list

    Common name Scientific name IUCN status Estimated Total no. (2010)

    Park

    1 Oryx Beisa oryx Near-threatened 410 ANP

    2 Lesser kudu Tragelaphus imberbis Near-threatened 1208

    3 Greater kudu Tragelaphus strepsiceros Least concern 35

  • Annex

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    Annex 2: Number of domestic animals at KAs surrounding Awash National Park

  • Annex

    ERCAND Consult Page 51

    Annex 3: Comparison of No. of Livestock in Fentale Woreda between 2008/09 and 2013/14k

    AcronymsAcknowledgmentsExecutive Summary1. Overview of Awash National Park1.1 Introduction1.2 Objective1.3. The study areas1.3.1 Location1.3.2 Topography1.3.3 Soil1.3.4 Water Resources and drainage1.3.5 Brief History of the Awash National park

    2. Land Cover Classification2.1 Methodology2.1.1 Data set2.1.2 Preprocessing of Images2.1.3 Image Classification for land use and land cover mapping2.1.5 Land cover change detection2.1.6 Identification of change drivers2.1.7 Materials and tools

    2.2. Results and Discussion2.2.1 Present Vegetation types2.2.2 Description of present land cover2.2.3 Land use / cover changes2.2.4 Drivers of La