Multiscale statistical approach to assess habitat suitability and connectivity of common leopard (Panthera pardus) in Kailash Sacred Landscape, India

2018 ◽  
Vol 28 ◽  
pp. 304-318 ◽  
Author(s):  
M.S. Sarkar ◽  
A. Pandey ◽  
G. Singh ◽  
S. Lingwal ◽  
R. John ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Statistical Approach ◽  
Panthera Pardus ◽  
Sacred Landscape ◽  
Kailash Sacred Landscape

Selection and downscaling of general circulation model datasets and extreme climate indices analysis - Manual

2020 ◽  
Author(s):  
Saurav Pradhananga ◽  
Arthur Lutz ◽  
Archana Shrestha ◽  
Indira Kadel ◽  
Bikash Nepal ◽  
...  
Keyword(s):  
River Basin ◽  
General Circulation ◽  
Climate Models ◽  
Circulation Model ◽  
Climate Extremes ◽  
Climate Indices ◽  
Climate Change Scenarios ◽  
Sacred Landscape ◽  
Kailash Sacred Landscape ◽  
Selection Of

A supplement to the Climate Change Scenarios for Nepal report published by the Ministry of Forests and Environment for the National Adaptation Plan (NAP) Process, this manual provides detailed information about the processes through which the assessment highlighted in the report can be carried out. They include – selection of the general circulation/climate models (GCMs), downscaling of the GCM dataset, assessment of changes in precipitation and temperature, and assessment of change in climate extremes. The manual downscales climate datasets for the Koshi River basin, the Kabul River basin, and the Kailash Sacred Landscape to analyse future scenarios in these basins and the landscape.

The Rangeland Livestock Carrying Capacity and Stocking Rate in the Kailash Sacred Landscape in China

2017 ◽  
Vol 8 (6) ◽  
pp. 551-558 ◽  
Author(s):  
Duan Cheng ◽  
Shi Peili ◽  
Zhang Xianzhou ◽  
Zong Ning ◽  
Chai Xi ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Stocking Rate ◽  
Sacred Landscape ◽  
Kailash Sacred Landscape

scholarly journals Ageratina adenophora and Lantana camara in Kailash Sacred Landscape, India: Current distribution and future climatic scenarios through modeling

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0239690
Author(s):  
Alka Chaudhary ◽  
Mriganka Shekhar Sarkar ◽  
Bhupendra Singh Adhikari ◽  
Gopal Singh Rawat
Keyword(s):  
Current Distribution ◽  
Species Distribution Model ◽  
Lantana Camara ◽  
Current Status ◽  
Distribution Model ◽  
Sacred Landscape ◽  
Management Interventions ◽  
Climatic Scenarios ◽  
Ageratina Adenophora ◽  
Kailash Sacred Landscape

The Himalayan region is one of the global biodiversity hotspots. However, its biodiversity and ecosystems are threatened due to abiotic and biotic drivers. One of the major biotic threats to biodiversity in this region is the rapid spread of Invasive Alien Species (IAS). Natural forests and grasslands are increasingly getting infested by IAS affecting regeneration of native species and decline in availability of bio-resources. Assessing the current status of IAS and prediction of their future spread would be vital for evolving specific species management interventions. Keeping this in view, we conducted an in-depth study on two IASs, viz., Ageratina adenophora and Lantana camara in the Indian part of Kailash Sacred Landscape (KSL), Western Himalaya. Intensive field surveys were conducted to collect the presence of A. adenophora (n = 567) and L. camara (n = 120) along an altitudinal gradient between 300 and 3000 m a.s.l. We performed Principal Component Analysis to nullify the multi-colinearity effects of the environmental predictors following MaxEnt species distribution model in the current and future climatic scenarios for both the species. All current and future model precision (i.e., Area Under the Curve; AUC) for both species was higher than 0.81. It is predicted that under the current rate of climate change and higher emission (i.e., RCP 8.5 pathway), A. adenophora will spread 45.3% more than its current distribution and is likely to reach up to 3029 m a.s.l., whereas, L. camara will spread 29.8% more than its current distribution range and likely to reach up to 3018 m a.s.l. Our results will help in future conservation planning and participatory management of forests and grasslands in the Kailash Sacred Landscape–India.

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