Biodiversity

With their steep terrain, fragmented landscape and thermal gradients, mountain ecosystems are host to higher species richness and levels of endemism than adjacent lowlands. Many organisms adapt and specialise in these microhabitats, which can provide islands of suitable habitat isolated from unfavourable surrounding lowlands. 
Biogeographically, the Hindu Kush Himalayas straddles a transition zone between the Palearctic and Indo-Malayan realms. Species from both realms are found in the region, with a high proportion of globally threatened plants and animals facing high levels of human pressure. The region hosts all or part of four areas labelled as Global Biodiversity Hotspots: the Himalayas, Indo-Burma, Mountains of South-West China, and Mountains of Central Asia. 
Mountain species with narrow habitat tolerance, particularly higher elevation forms and those with low dispersal capacity, are at high risk from the environmental effects of climate change. The region’s increasing population has led to widespread logging, intensive overgrazing, wetland drainage for subsistence purposes, and extensive clearing of forests and grasslands for cultivation. Inappropriate land management and ill-planned development have led to the fragmentation of remaining habitats. 

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Datasets

Digital dataset of Himalayan Wolf habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital dataset of Ladakh Urial habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital dataset of Musk Deer habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital dataset of Astore Markhore habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital dataset of Himalayan Ibex habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital dataset of Snow Leopard habitat area of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008 based on baseline study volume II, draft report, by Hagler Bailly (2005) and TJ Roberts. Habitat area is identified based on the GPS survey, baseline report and potential habitat area modeling using variables like land cover, slope, DEM etc through ENFA.


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Digital point dataset of Sighting Point locations of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008.


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Vulnerability layer gives information about the climate change vulnerability of forest ecosystems in Chitwan Annapurna Landscape.


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Adaptive capacity layer gives information about the climate change adaptive capacity of forest ecosystems in Chitwan Annapurna Landscape


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At the watershed level, crown projection area (CPA) vs. basal area (BA) model was developed and validated. At the watershed level, for CPA delineation, region growing technique was adopted. GeoEye-1 images captured on 15 December, 2012 was used.


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