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Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. (2024). Harnessing Drones for Snow Leopard Prey Surveys. SL Reports, (3), 1–8.
Abstract: Surveying snow leopard prey species such as argali, ibex or blue sheep through traditional ground-based observations is time-consuming, expensive, and challenging. Aerial drones present a promising alternative. We tested using thermal-sensor- equipped drones to count ungulate populations in Mongolia’s Ikh Nart Nature Reserve, surveying ~400km of transects along five fixed routes for forty-three missions. Drones detected 235 prey animals and 209 livestock; 26% of all sightings were in areas that would not have been visible to hypothetical ground-based observers. Our tests reinforced the utility of drones for counting snow leopard prey and highlighted important issues and future advances for supporting largely autonomous prey surveys. We recommend biologists build upon existing technology to attain an inexpensive, easy to use, and field ready set of equipment and procedures that can reliably improve or replace traditional transect or point count methods for large prey species.
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the locations at which animals were detected (their spatial capture histories) to estimate animal density. Despite the often large expense and effort involved in placing detectors in a landscape, there has been relatively little work on how detectors should be located. A natural criterion is to place traps so as to maximize the precision of density estimators, but the lack of a closed-form expression for precision has made optimizing this criterion computationally demanding. 2. Recent results by Efford and Boulanger (2019) show that precision can be well approximated by a function of the expected number of detected individuals and expected number of recapture events, both of which can be evaluated at low computational cost. We use these results to develop a method for obtaining survey designs that optimize this approximate precision for SCR studies using count or binary proximity detectors, or multi-catch traps. 3. We show how the basic design protocol can be extended to incorporate spatially varying distributions of activity centres and animal detectability. We illustrate our approach by simulating from a camera trap study of snow leopards in Mongolia and comparing estimates from our designs to those generated by regular or optimized grid designs. Optimizing detector placement increased the number of detected individuals and recaptures, but this did not always lead to more precise density estimators due to less precise estimation of the effective sampling area. In most cases, the precision of density estimators was comparable to that obtained with grid designs, with improvement in some scenarios where approximate CV(¬D) < 20% and density varied spatially. 4. Designs generated using our approach are transparent and statistically grounded. They can be produced for survey regions of any shape, adapt to known information about animal density and detectability, and are potentially easier and less costly to implement. We recommend their use as good, flexible candidate designs for SCR surveys when reasonable knowledge of model parameters exists. We provide software for researchers to construct their own designs, in the form of updates to design functions in the r package oSCR. |
Yanfa, L., & Bangjie, T. (1988). A Preliminary Study on the Geographical Distribution of Snow Leopards in China. In H.Freeman (Ed.), (pp. 51–63). Interanational Snow Leopard Trust and The Wildlife Institute of India. |
Xu, F., Ming, M., Yin, S. -jing, & Munkhtsog, B. (2006). Autumn Habitat Selection by Snow Leopard (Uncia uncia) in Beita Mountain, Xinjiang, China.
Abstract: Habitat selection of Snow Leopard ( Unica unica) in Beita Mountain of the Altay Mountain system in northeast Xinjiang was conducted from September to October 2004. Six habitat features of 59 sites used by Snow Leopard and 30 random plots were measured by locating 15 transects surveys in the study area . Vanderploge and Scaviaps selectivity index was used to assess Snow Leopardps selection for the different habitat parameters. Principal Component Analysis was used as the primary factor . The results indicated that Snow Leopard preferred the altitude between 2000 – 2 200 m and avoided 2 600 – 3 000 m ; selected cliff base , ridgeline and avoided hillside and valley bottom ; utilized the shrub and rejected the forest ; selected the nongrazing area and avoided the slightly broken region ; preferred north orientation and rejected the south orientation. The results show that grazing status , vegetation type , topography and the ruggedness are the primary factors for the habitat selection of Snow Leopard.
Keywords: habitat; Habitat selection; selection; snow; snow leopard; snow-leopard; leopard; uncia; Uncia uncia; Uncia-uncia; mountain; Xinjiang; China; Chinese; Altay; mountain system; system; 30; transects; transect; surveys; survey; study; area; analysis; primary; factor; 200; 600; Base; valley; Forest; region; south; grazing; status; topography
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Wikramanayake, E. Tracking snow leopard and blue sheep, WWF conservationist Eric Wikramanayake goes on a wildlife survey in Bhutan. |
Wangchuk, R., & Jackson, R. (2009). A Community-based Approach to Mitigating Livestock-Wildlife Conflict in Ladakh, India.
Abstract: Livestock depredation by snow leopard and wolf is widespread across the Himalayan region (Jackson et al. 1996, Jackson and Wangchuk 2001; Mishra 1997, Oli et al 1994). For example, in India's Kibber Wildlife Sanctuary, Mishra (1997) reported losses amounting to 18% of the livestock holdings and valued at about US $138 per household. The villagers claimed predation rates increased after establishment of the sanctuary, but
surveys indicated a dramatic increase in livestock numbers accompanying changes in animal husbandry systems (Mishra 2000). Keywords: community-based; approach; conflict; Ladakh; India; livestock; livestock depredation; livestock-depredation; depredation; snow; snow leopard; snow-leopard; leopard; wolf; wolves; Himalayan; region; Jackson; kibber; Kibber Wildlife Sanctuary; wildlife; sanctuary; sanctuaries; loss; us; villagers; predation; establishment; surveys; survey; number; change; Animal; animal-husbandry; husbandry; system; 2000
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ud Din, J. (2008). Assessing the Status of Snow Leopard in Torkhow Valley, District Chitral, Pakistan: Final Technical Report.
Abstract: This study was aimed at assessing the status of Snow leopard, its major prey base, and the extent of human-Snow leopard conflict and major threats to the wildlife in north Chitral (Torkhow valley) Pakistan. Snow leopard occurrence was conformed through sign transect surveys i.e. SLIMS. Based on the data collected the number of Snow leopards in this survey block (1022 Kmý) is estimated to be 2-3 animals. Comparing this estimate with the available data from other parts of the district the population of snow leopard in Chitral district was count to be 36 animals. Livestock depredation reports collected from the area reflect the existence of human-snow leopard conflict and 138 cases were recorded affecting 102 families (in a period of eight years, 2001-2008). Ungulates (Himalayan Ibex) rut season surveys were conducted in coordination with NWFP Wildlife department. A total of 429 animals were counted using direct count (point method) surveys. Other snow leopard prey species recorded include marmot, hare, and game birds. Signs of other carnivores i.e. wolf, jackal, and fox were also noticed. Major threats to the survival of wildlife especially snow leopard reckoned include retaliatory killing (Shooting, Poisoning), poaching, loss of natural prey, habitat degradation (over grazing, fodder and fuel wood collection), lack of awareness, and over population. GIS map of the study area was developed highlighting the area searched for Snow leopard and its prey species. Capacity of the Wildlife Department staff was built in conducting SLIMS and ungulate surveys through class room and on field training. Awareness regarding the importance of wildlife conservation was highlighted to the students, teachers and general community through lectures and distribution of resource materials developed by WWF-Pakistan.
Keywords: status; snow; snow leopard; snow-leopard; leopard; valley; chitral; Pakistan; Report; study; prey; Base; conflict; threats; threat; wildlife; sign; transect; surveys; survey; Slims; Data; number; snow leopards; snow-leopards; leopards; Animals; Animal; population; livestock; livestock depredation; livestock-depredation; depredation; area; Case; ungulates; ungulate; Himalayan; himalayan ibex; ibex; rut; using; prey species; prey-species; species; marmot; game; birds; carnivores; carnivore; wolf; wolves; jackal; fox; survival; retaliatory; retaliatory killing; retaliatory-killing; killing; poisoning; poaching; loss; habitat; habitat degradation; habitat-degradation; degradation; grazing; collection; awareness; Gis; map; staff; field; training; conservation; community; distribution; resource; project; network; program
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International Snow Leopard Trust. (2001). Snow Leopard News Summer 2001. Seattle, WA: Islt.
Keywords: Islt; Woodland-Park-Zoo; seattle; Snow-leoaprd-Summit; Slss; threats; conservation; donation; field-study; surveys; Pakistan; Kyrgastan; Kyrgyz-Republic; India; research; staff; expansion; programs; education; herders; interviews; funding; travel; livestock; browse; 4350
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International Snow Leopard Trust. (2000). Snow Leopard News Spring 2000. Seattle, Wa: Islt.
Keywords: Rutherford; Freeman; Morse; Jackson; Hillard; Natural-Partnerships-Program; Pakistan; Islt; Slims; training; Chitrol-Gol; parks; preserves; reserves; protected-areas; surveys; Hemis; Conflict-Resolution-Workshop; conflict; herders; leh; Jammu; Kashmir; Ladakh; corrals; predator; prey; livestock; depradation; human-wildlife-conflict; Uzbekistan; Gissar; Peace-Corps; Mongolia; Macne; fiction; populations; browse; 4390
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International Snow Leopard Trust. (2000). Snow Leopard News Autumn/ Winter 2000. Seattle, Wa: Islt. |