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Author | Henschel, P.; Ray, J. | ||||
Title | Leopards in African Rainforests: Survey and Monitoring Techniques | Type | Miscellaneous | ||
Year | 2003 | Publication | Abbreviated Journal | ||
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Keywords | forest leopards; african rainforests; survey; monitoring techniques; lope reserve; gabon; central africa; congo; zaire; field testing; populations; wild meat; relative abundance; density; live-trapping; presence and absense surveys; ad-hoc survey; bushmeat; systematic survey; monitoring; individual identification; tracks; Discriminant Function Analysis; genotyping; scat; Hair; Dna; remote photography; camera trapping; capture rates; Trailmaster; Camtrakker; bait; duikers; pigs; elephant; bongo; okapi; human hunters; 5300 | ||||
Abstract | Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests. | ||||
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Publisher | Place of Publication | Editor | Wildlife Conservation Society | ||
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Call Number | SLN @ rana @ 515 | Serial | 382 | ||
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Author | Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. | ||||
Title | Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. | Type | Journal Article | ||
Year | 2021 | Publication | Conservation Genetics | Abbreviated Journal | |
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Keywords | Snow leopard, Panthera uncia, Microsatellites, Heterozygosity, Population structure, Noninvasive survey, Scat, Subspecies | ||||
Abstract | The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed. | ||||
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Call Number | Serial | 1633 | |||
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Author | Thapa, K. | ||||
Title | Is their any correlation between abundance of blue sheep population and livestock depredation by snow leopards in the Phu Valley, Manang District, Annapurna Conservation Area? Final report | Type | Report | ||
Year | 2005 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-19 | ||
Keywords | abundance; blue; blue sheep; blue-sheep; sheep; population; livestock; livestock depredation; livestock-depredation; depredation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; valley; Manang; annapurna; annapurna conservation area; Annapurna-Conservation-Area; conservation; area; Report; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; Nepal | ||||
Abstract | This study was undertaken in the Phu valley of Manang district in the Annapurna Conservation Area, Nepal, Spring, 2004 and 2005. I used the Snow Leopard Management Information System (“second order” survey technique), to determine the relative abundance of snow leopards in delineated areas in Phu valley. Transects routes were plotted by randomly selected feasible landforms such as along ridgelines, cliff bases and river bluffs where snow leopards sign is likely to be found. Altogether, 16 transects (total length of 7.912 km) were laid down (mean transect length=0.495 km). They revealed, 54 sign sites (both relic and non-relic) and altogether 88 signs (72 scrapes, 11 feces, 3 scent mark, 2 pugmarks and 1 hair) were recorded (6.8 site/km and 11.1 signs/km). There were 61.1% non-relic and 38.9% relic sites. The density of snow leopards in Phu Valley may be 4-5 snow leopards/100 kmý.It was found that the Ghyo block had the highest sign density (13.6 mean sign item/km) and Phu block (9.8 mean sign item/km) and the lowest in Ngoru block (3.9 mean sign item/km.). For blue sheep, direct count method was applied from different appropriate vantage points (fixed-point count). I counted total individuals in each herd and classified all individuals whenever possible, using 8 X24 binocular and 15-60x spotting scope. A total 37 blue sheep herds and 1209 individuals were observed in 192.25 kmý of the study area (blue sheep density, 6.3 kmý). Average herd size was 32.68. Herd size varied from 1 to 103 animals (the largest so far recorded). The average sex ratio male to female for the entire survey area was 0.67. Recruitment rate was 47.13. The ratio of yearlings to adult female was 0.45. In Ghyo block had total 168 blue sheep (area, 44.08 km2 or 3.8/ km2 i.e. 137.2 kg/ kmý). Blue sheep density in Ngoru block showed 4.7/km2 (area, 65.47 km2). Highest density of blue sheep among three blocks was recorded in Phu block, 8.9/km2 (or 320 kg/km2) in its 82.70 km2 area. A standard questionnaire was designed, and interviews conducted for relevant information was collected on livestock depredation patterns (total household survey). Out of 33 households surveyed, 30 reported that they had livestock depredation by the snow leopard in 2004. Altogether 58 animals were reportedly lost to snow leopards (3.1% of the total mortality). Out of the estimated standing available biomass (1, 83,483kg) in the Phu valley at least 2220 kg or 1.3% of the total livestock biomass was consumed by snow leopards in the year of our study (2004). It was estimated that in the Phu valley annually 1.8 animals were lost per household to snow leopards. This means approx. Rs.413560 (US$ 5,908) is lost annually in the valley (US$ 179/household/annum). Ghyo block, had the highest animals loss (53.4%), followed by Phu block (36.2%) and Ngoru block (10.3%) to snow leopards. There is positive correlation among the densities of blue sheep, relative abundance of the snow leopard and livestock depredation. Blue sheep is the main prey species of the snow leopard in Phu valley and its conservation therefore matters to reduce livestock depredation. A general patterns appears here that shows that blue sheep (prey) abundance determine snow leopard (predator) abundance and that livestock depredation by snow leopards may be minimal where there is good population of blue sheep, and vice versa. |
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Notes | Project funded by International Snow Leopard Trust Small Grants Program, 2005. Annapurna Conservation Area Project, Pokhara, Nepal. | Approved | no | ||
Call Number | SLN @ rana @ 1078 | Serial | 959 | ||
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Author | Raghavan, B.; Bhatnagar, Y.; Qureshi, Q. | ||||
Title | Interactions between livestock and Ladakh urial (Ovis vignei vignei); final report | Type | Report | ||
Year | 2003 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-46 | ||
Keywords | Interactions; interaction; livestock; Ladakh; urial; ovis; endangered; Animal; Iucn; 2000; Cites; indian; wildlife; protection; number; 1960; 70; hunting; meat; fox; Chundawat; population; range; species; recent; humans; Human; Pressure; habitat; areas; area; human activity; activity; activities; agriculture; pastoralism; development; dam; Base; threats; threat; poaching; grazing; trans-himalaya; transhimalaya; Competition; resource; presence; India; project; International; international snow leopard trust; International-Snow-Leopard-Trust; snow; snow leopard; snow-leopard; leopard; trust; program | ||||
Abstract | The Ladakh urial (Ovis vignei vignei) is a highly endangered animal (IUCN Red List 2000) listed in the Appendix 1 of CITES and Schedule 1 of the Indian Wildlife Protection Act 1972. Its numbers had been reduced to a few hundred individuals in the 1960s and 70s through hunting for trophies and meat (Fox et al. 1991, Mallon 1983, Chundawat and Qureshi 1999, IUCN Red List 2000). However, with the protection bestowed by the IWPA 1972, and resultant decrease in hunting, the population seems to have shown a marginal increase to about 1000-1500 individuals in its range in Ladakh (Chundawat and Qureshi 1999, IUCN Red List 2000). Although the species had in the past, been able to coexist with the predominantly Buddhist society of Ladakh, the recent increase in the population of both humans and their livestock has placed immense pressures on its habitat (Shackleton 1997, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). This is especially important considering that the Ladakh urial habitat coincides with the areas of maximum human activity in terms of settlements, agriculture, pastoralism and development, in Ladakh (Fox et al. 1991, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). Increased developmental activities such as construction of roads, dams, and military bases in these areas have also increased the access to their habitat. This has consequently made the species more vulnerable to the threats of poaching and habitat destruction (Fox et al. 1991, Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2002). Pressure from increased livestock grazing is one of the major threats faced by the species today (Shackleton 1997, Fox et al. 1991, Mallon 1983, IUCN Red List 2000 Chundawat and Qureshi 1999, Raghavan and Bhatnagar 2003). In the impoverished habitat provided by the Trans-Himalayas, there is great competition for the scarce resources between various animal species surviving here (Fox 1996, Mishra 2001). The presence of livestock intensifies this competition and can either force the species out of its niche (competitive exclusion) by displacing it from that area or resource, or lead to partitioning of resources between the species, spatially or temporally, for coexistence (Begon et al. 1986, Gause 1934). | ||||
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Notes | Project funded by International Snow Leopard Trust Small Grants Program. Wildlife Institute of India. | Approved | no | ||
Call Number | SLN @ rana @ 1075 | Serial | 802 | ||
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Author | Namgail, T. | ||||
Title | Interactions between argali and livestock, Gya-Miru Wildlife Sanctuary, Ladakh, India, Final Project Report | Type | Report | ||
Year | 2004 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-39 | ||
Keywords | Interactions; interaction; argali; livestock; Gya-Miru; wildlife; sanctuary; sanctuaries; Ladakh; India; project; Report; land-use; land use; region; indian; trans-himalaya; transhimalaya; economy; Animal; products; meat; diet; people; wool; goats; goat; International; High; recent; change; population; grazing; Pressure; pasture; impact; 2000; knowledge; primary; Chundawat; wild; area; Support; ungulate; species; fox; nature; domestic; sheep; habitat; habitat use; use; tibetan; Tibetan argali; ovis; Ovis ammon hodgsoni; ammon; reserve; international snow leopard trust; International-Snow-Leopard-Trust; snow; snow leopard; snow-leopard; leopard; trust; program | ||||
Abstract | Livestock production is the major land-use in Ladakh region of the Indian Trans-Himalaya, and is a crucial sector that drives the region's economy (Anon, 2002). Animal products like meat and milk provide protein to the diet of people, while products like wool and pashmina (soft fibre of goats) find their way to the international market. Such high utility of livestock and the recent socio-economic changes in the region have caused an increase in livestock population (Rawat and Adhikari, 2002; Anon. 2002), which, if continue apace, may increase grazing pressure and deteriorate pasture conditions. Thus, there is an urgent need to assess the impact of such escalation in livestock population on the regions wildlife. Although, competitive interaction between wildlife and livestock has been studied elsewhere in the Trans-Himalaya (Bhatnagar et al., 2000; Mishra, 2001; Bagchi et al., 2002), knowledge on this aspect in the Ladakh region is very rudimentary. The rangelands of Ladakh are characterised by low primary productivity (Chundawat & Rawat, 1994), and the wild herbivores are likely to compete with the burgeoning livestock on these impoverished rangelands (Mishra et al., 2002). Thus, given that the area supports a diverse wild ungulate assemblage of eight species (Fox et al., 1991b), and an increasing livestock population (Rawat and Adhikari, 2002), the nature of interaction between wildlife and livestock needs to be assessed. During this project, we primarily evaluated the influence of domestic sheep and goat grazing on the habitat use of Tibetan argali Ovis ammon hodgsoni in a prospective wildlife reserve in Ladakh. | ||||
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Notes | Project funded by International Snow Leopard Trust Small Grants Program, 2003. | Approved | no | ||
Call Number | SLN @ rana @ 1073 | Serial | 711 | ||
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Author | Ale S. | ||||
Title | Have snow leopards made a comeback to the Everest region of Nepal? | Type | Report | ||
Year | 2005 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-21 | ||
Keywords | snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; region; Nepal; Report; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; 1960; endangered; Sagarmatha; High; Himalaya; tourism; impact; establishment; national; national park; National-park; park; 1980; area; Tibet; surveys; survey; status; Cats; cat; prey; research; project; sign; transects; transect; length; valley; Response; hunting; recovery; Himalayan; tahr; density; densities; range; pugmarks; sighting; 60; study; population; predators; predator; structure; prey species; prey-species; species; populations; mortality; effects; predation; population dynamics | ||||
Abstract | In the 1960s, the endangered snow leopard was locally extirpated from the Sagarmatha (Mt. Everest) region of Nepal. In this Sherpa-inhabited high Himalaya, the flourishing tourism since the ascent of Mt Everest in 1953, has caused both prosperity and adverse impacts, the concern that catalyzed the establishment of Mt. Everest National Park in the region in 1976. In the late 1980s, there were reports that some transient snow leopards may have visited the area from adjoining Tibet, but no biological surveys exist to confirm the status of the cats and their prey. Have snow leopards finally returned to the top of the world? Exploring this question was the main purpose of this research project. We systematically walked altogether 24 sign transects covering over 13 km in length in three valleys, i.e. Namche, Phortse and Gokyo, of the park, and counted several snow leopard signs. The results indicated that snow leopards have made a comeback in the park in response to decades of protective measures, the virtual cessation of hunting and the recovery of the Himalayan tahr which is snow leopard's prey. The average sign density (4.2 signs/km and 2.5 sign sites/km) was comparable to that reported from other parts of the cats' range in the Himalaya. On this basis, we estimated the cat density in the Everest region between 1 to 3 cats per 100 sq km, a figure that was supported by different sets of pugmarks and actual sightings of snow leopards in the 60 km2 sample survey area. In the study area, tahr population had a low reproductive rate (e.g. kids-to-females ratio, 0.1, in Namche). Since predators can influence the size and the structure of prey species populations through mortality and through non-lethal effects or predation risk, snow leopards could have been the cause of the population dynamics of tahr in Sagarmtha, but this study could not confirm this speculation for which further probing may be required. | ||||
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Notes | Progress report for the International Snow Leopard Trust Small Grants Program. | Approved | no | ||
Call Number | SLN @ rana @ 1063 | Serial | 50 | ||
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Author | Robinson, J. J., Crichlow, A. D., Hacker, C. E., Munkhtsog, B., Munkhtsog, B., Zhang, Y., Swanson, W. F., Lyons, L. A., Janecka, J. E. | ||||
Title | Genetic Variation in the Pallas’s Cat (Otocolobus manul) in Zoo-Managed and Wild Populations | Type | Journal Article | ||
Year | 2024 | Publication | Diversity | Abbreviated Journal | |
Volume | 16 | Issue | 228 | Pages | 1-13 |
Keywords | Otocolobus manul; microsatellites; zoo-managed population; mitochondrial 12S ribosomal RNA; endothelial PAS domain protein 1 | ||||
Abstract | The Pallas’s cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of “Least Concern” in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas’s cats. These microsatellites were genotyped on six wild Pallas’s cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas’s cat displays moderate genetic diversity. Intriguingly, we found that the Pallas’s cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas’s cat. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1749 | ||
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Author | Aryal, A. | ||||
Title | Final Report On Demography and Causes of Mortality of Blue Sheep (Pseudois nayaur) in Dhorpatan Hunting Reserve in Nepal | Type | Report | ||
Year | 2009 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-53 | ||
Keywords | Report; mortality; blue; blue sheep; blue-sheep; sheep; Pseudois; pseudois nayaur; Pseudois-nayaur; nayaur; Dhorpatan; hunting; reserve; Nepal; biodiversity; research; training; snow; snow leopard; snow-leopard; leopard; conservation; program; population; Population-Density; density; densities; change; Sex; study; area; High; poaching; Pressure; reducing; number; predators; predator; poison; wolf; wolves; canis; Canis-lupus; lupus; wild; wild boar; prey; prey species; prey-species; species; scats; scat; value; fox; cover; deer; diet; leopards; pika; snow leopards; snow-leopards; soil; Relationship | ||||
Abstract | A total of 206 individual Blue sheep Pseudois nayaur were estimated in Barse and Phagune blocks of Dhorpatan Hunting Reserve (DHR) and population density was 1.8 Blue sheep/sq.km. There was not significant change in population density from last 4 decades. An average 7 animals/herd (SD-5.5) were classified from twenty nine herds, sheep per herds varying from 1 to 37. Blue sheep has classified into sex ratio on an average 75 male/100females was recorded in study area. The sex ratio was slightly lower but not significantly different from the previous study. Population of Blue sheep was seen stable or not decrease even there was high poaching pressure, the reason may be reducing the number of predators by poison and poaching which has supported to increase blue sheep population. Because of reducing the predators Wolf Canis lupus, Wild boar population was increasing drastically in high rate and we can observed wild boar above the tree line of DHR. The frequency of occurrence of different prey species in scats of different predators shows that, excluding zero values, the frequencies of different prey species were no significantly different (ö2= 10.3, df = 49, p > 0.05). Most of the scats samples (74%) of Snow leopard, Wolf, Common Leopard, Red fox's cover one prey species while two and three species were present in 18% and 8%, respectively. Barking deer Muntiacus muntjak was the most frequent (18%) of total diet composition of common leopards. Pika Ochotona roylei was the most frequent (28%), and Blue sheep was in second position for diet of snow leopards which cover 21% of total diet composition. 13% of diet covered non-food item such as soil, stones, and vegetable. Pika was most frequent on Wolf and Red fox diet which covered 32% and 30% respectively. There was good positive relationship between the scat density and Blue sheep consumption rate, increasing the scat density, increasing the Blue sheep consumption rate. Blue sheep preference by different predators such as Snow leopard, Common leopard, Wolf and Red fox were 20%, 6%, 13% and 2% of total prey species respectively. |
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Notes | The Biodiversity Research and Training Forum (BRTF) Nepal. Email: savefauna@yahoo.com Submitted to Snow Leopard Conservation Grants Program, USA. | Approved | no | ||
Call Number | SLN @ rana @ 1064 | Serial | 104 | ||
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Author | Durbach, I., Borchers, D., Sutherland, C., Sharma, K. | ||||
Title | Fast, flexible alternatives to regular grid designs for spatial capture–recapture. | Type | Research Article | ||
Year | 2020 | Publication | Methods in Ecology and Evolution | Abbreviated Journal | |
Volume | Issue | Pages | 1-13 | ||
Keywords | camera trap, population ecology,sampling, spatial capture-recapture, surveys | ||||
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. |
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Call Number | Serial | 1618 | |||
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Author | Kosharev, E.P. | ||||
Title | Excerpts from “The snow leopard in Kirgizia” | Type | Magazine Article | ||
Year | 1990 | Publication | Snow Line | Abbreviated Journal | |
Volume | 8 | Issue | 2 | Pages | 7-8 |
Keywords | snow; snow leopard; snow-leopard; leopard; population | ||||
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Publisher | International Snow Leopard Trust | Place of Publication | Editor | ||
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Notes | Translation by Kathleen Braden from Chapter 3, “Distribution and population of snow leopard in Kirgizia” from the following book: “The Snow Leopard of Kirgizia” by E.P. Kosharev, published in 1989 by Ilum Publishers. | Approved | no | ||
Call Number | SLN @ rana @ 968 | Serial | 552 | ||
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