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Murali, R., Redpath, S., Mishra, C. (2017). The value of ecosystem services in the high altitude Spiti Valley, Indian Trans-Himalaya. Elsevier, (28), 115–123.
Abstract: The high mountain ranges of South and Central Asia are increasingly being exposed to large-scale development
projects. These areas are home to traditional pastoralist communities and internationally important
biodiversity including the endangered snow leopard Panthera uncia. Development projects rely on
economic cost-benefit analysis, but the ecosystem services in the high Himalayas are poorly understood
and are rarely accounted for. As a first step to fill this gap, we identified the main ecosystem services used
by local people in the Trans-Himalayan Spiti Valley (7591 km2), a region important for conservation of
snow leopards and high mountain biodiversity, and undertook an economic valuation. Stakeholders identified
a range of services, though these were dominated by provisioning services identified by 90% of
respondents. Only 5.4% of the respondents recognised regulatory services and 4.8% recognised cultural
services. The mean economic value of provisioning services was estimated at US$ 3622 ± 149 HH1
yr1, which was 3.8 times higher than the average annual household income. Our results underscore
the need to account for ecosystem services in the cost-benefit analyses of large-scale development projects
in addition to assessments of their environmental and social impact.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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