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 polygon dataset of Management Zones of Phobjikha Valley, Bhutan. This dataset is created using topographic sheet maps at scale of 50000 and prepared by ICIMOD.


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Digital polygon dataset of Black Neck Crane Habitat locations of Phobjikha Valley, Bhutan. This dataset is based on topographic sheet maps at scale of 50000 and prepared by ICIMOD.


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At the watershed level, land cover data was prepared using object image classification technique. GeoEye-1 images captured 15 December, 2012 was used.


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At the watershed level, land cover data was prepared using object image classification technique. GeoEye-1 images captured 2nd November, 2009 was used.


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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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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 2nd November, 2009 was used.


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In the watershed level, existing lease hold forest boundary delineated to know the exact area under the lease hold forest. GeoEye-2009 image used for this pupose in the Kayerkhola watershed


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This checklist contains a total of 52 species of amphibians documented from the Kangchenjunga Landscape.This checklist is based on information obtained from the country level feasibility assessment reports of the Kangchenjunga Landscape prepared by the implementing partners in Bhutan, India and Nepal.


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This checklist contains a total of 5181 angiosperm species documented from the Kangchenjunga Landscape. This information has been collated from the Kangchenjunga Landscape country level feasibility assessment reports of Bhutan, India and Nepal.


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This checklist contains a total of 618 bird species documented from the Kangchenjunga Landscape. This information has been collated from the country level feasibility assessment reports of Kangchenjunga Landscape prepared by the implementing partners in Bhutan, India and Nepal as well as from various literatures.


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