toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. url 
  Title Spatial variation in population-density, movement and detectability of snow leopards in 2 a multiple use landscape in Spiti Valley, Trans-Himalaya Type Journal Article
  Year 2020 Publication bioRxiv Abbreviated Journal  
  Volume Issue Pages  
  Keywords Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur Capra sibirica; ungulates; livestock.  
  Abstract The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number Serial 1620  
Permanent link to this record
 

 
Author Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. url  doi
  Title Face Value: Towards Robust Estimates of Snow Leopard Densities Type Journal Article
  Year 2015 Publication Plos One Abbreviated Journal  
  Volume Issue Pages  
  Keywords Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models  
  Abstract When densities of large carnivores fall below certain thresholds, dramatic ecological effects

can follow, leading to oversimplified ecosystems. Understanding the population status of

such species remains a major challenge as they occur in low densities and their ranges are

wide. This paper describes the use of non-invasive data collection techniques combined

with recent spatial capture-recapture methods to estimate the density of snow leopards

Panthera uncia. It also investigates the influence of environmental and human activity indicators

on their spatial distribution. A total of 60 camera traps were systematically set up during

a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,

Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,

representing an average capture success of 2.62 captures/100 trap-days. We identified

a total number of 20 unique individuals from photographs and estimated snow leopard

density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate

that our estimates from the Spatial Capture Recapture models were not optimal to

respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our

results underline the critical challenge in achieving sufficient sample sizes of snow leopard

captures and recaptures. Possible performance improvements are discussed, principally by

optimising effective camera capture and photographic data quality.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number SLN @ rakhee @ Serial 1431  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: