Methods of Estimating Snow Leopard Abundance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00569964" target="_blank" >RIV/86652079:_____/22:00569964 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/22:10468061
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-11355-0_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-11355-0_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-11355-0_3" target="_blank" >10.1007/978-3-031-11355-0_3</a>
Alternative languages
Result language
angličtina
Original language name
Methods of Estimating Snow Leopard Abundance
Original language description
To optimize the conservation strategies of snow leopard, it is necessary to know its distribution within an area and relative abundance in different habitats (Sheng et al. Biodivers Conserv 19:3195–3206, 2010). Its secretive lifestyle makes this quite difficult. Estimation methods of snow leopard abundance include search for signs of their presence, capture-recapture, predator-prey biomass ratios, photographic-capture rate and genetic analyses (McCarthy et al. in J Wildl Manage 72:1826–1833, 2008). There was no photograph of a snow leopard taken in the wild until 1980 (Schaller in Stones of silence: journeys in the Himalaya. Viking Press, New York, 1980). A huge step forward came with the availability of camera traps, which have replaced live-capture (direct capture of an animal), which is almost impossible because of the very low rate of a face-to-face encounter: about 3/1000 trap-nights (McCarthy et al. in J Wildl Manage 72:1826–1833, 2008). Thus, for those who wish to obtain data on snow leopard population dynamics, or at least on its distribution in an area, it is important to know, which method is the most appropriate in his/her case. To help people in this decision, we give an account of the methods used for estimating snow leopard abundance. The chapter is adapted from Valentová (Eur J Environ Sci 7: 73–93, 2017).
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10613 - Zoology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Snow Leopards in Nepal
ISBN
978-3-031-11354-3
Number of pages of the result
13
Pages from-to
61-74
Number of pages of the book
211
Publisher name
Springer Nature Switzerland AG
Place of publication
Switzerland
UT code for WoS chapter
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