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Greenspan E, Montgomery C, Stokes D, K'lu SS, Moo SSB, Anile S, Giordano AJ, Nielsen CK. Occupancy, density, and activity patterns of a Critically Endangered leopard population on the
Kawthoolei‐Thailand
border. POPUL ECOL 2023. [DOI: 10.1002/1438-390x.12148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Evan Greenspan
- Karen Wildlife Conservation Initiative Willagee Western Australia Australia
| | - Clara Montgomery
- Karen Wildlife Conservation Initiative Willagee Western Australia Australia
| | - Demelza Stokes
- Karen Wildlife Conservation Initiative Willagee Western Australia Australia
| | - Saw Say K'lu
- Kawthoolei Forestry Department Chiang Mai Thailand
| | | | - Stefano Anile
- Forestry Program and Cooperative Wildlife Research Laboratory Southern Illinois University Carbondale Illinois USA
| | | | - Clayton K. Nielsen
- Forestry Program and Cooperative Wildlife Research Laboratory Southern Illinois University Carbondale Illinois USA
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2
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Walkup DK, Ryberg WA, Pierce JB, Smith E, Childress J, East F, Pierce BL, Brown P, Fielder CM, Hibbitts TJ. Testing the detection of large, secretive snakes using camera traps. WILDLIFE SOC B 2022. [DOI: 10.1002/wsb.1408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Danielle K. Walkup
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Wade A. Ryberg
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Josh B. Pierce
- United States Department of Agriculture‐Forest Service Southern Research Station 506 Hayter Street Nacogdoches TX 75965 USA
| | - Emlyn Smith
- United States Department of Agriculture‐Forest Service Catahoula Ranger District, 5325 Highway 8 Bentley LA 71407 USA
| | | | - Forrest East
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Brian L. Pierce
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Price Brown
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Corey M. Fielder
- Texas A&M University Natural Resources Institute AgriLife Water and Natural Resources Building, 1001 Holleman Dr. E. College Station TX 77840 USA
| | - Toby J. Hibbitts
- Texas A&M University Natural Resources Institute, Biodiversity, Research and Teaching Collection, Department of Ecology and Conservation Biology College Station TX 77843 USA
- Texas A&M University Wildlife Fisheries and Ecological Sciences Building 2258 TAMU College Station TX 77843 USA
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3
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Portas R, Wachter B, Beytell P, Uiseb KH, Melzheimer J, Edwards S. Leopard Panthera pardus camera trap surveys in the arid environments of northern Namibia. Mamm Biol 2022. [DOI: 10.1007/s42991-022-00237-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
AbstractIn Namibia, leopards (Panthera pardus) are widely distributed, used commercially as trophy animals and are often persecuted for perceived or real predation on livestock and valuable game species outside protected areas. Therefore, leopard populations living in protected areas might be important source populations and for maintaining connectivity. Little data on their population sizes and densities are available from the northern part of the country, particularly from protected areas. Here, we estimated leopard densities using a spatial capture–recapture approach in northern Namibia: (i) the Khaudum National Park (KNP) in north-east Namibia with an annual average rainfall of 450 mm and (ii) the Lower Hoanib River (LHR) in north-west Namibia with an annual average rainfall of 25 mm. With an effort of 2430 and 2074 camera trap nights in the KNP and LHR, respectively, 11 adult female and six adult male leopards were identified in the KNP, whilst only one adult female leopard was detected once in the LHR. For the KNP, a maximum likelihood approach (using the package SECR) revealed a density estimate of 2.74 leopards/100 km2, whereas a Bayesian approach (using the package SPACECAP) revealed a density estimate of 1.83 leopards/100 km2. For the LHR, no density estimate could be determined and it is suggested that the leopard density in such an arid environment is low. These are the first leopard density estimates based on camera trap surveys provided for these protected areas and thus of importance for further monitoring programs to understand leopard population dynamics. We discuss our findings with current habitat changes and conservation measures in both study areas.
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4
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Ario A, Mercusiana S, Rustiadi A, Gumilang R, I Gede Gelgel Darma Putra Wirawan, Ahmad Slamet T. The Javan Leopard Panthera pardus melas (Cuvier, 1809) (Mammalia: Carnivora: Felidae) in West Java, Indonesia: estimating population density and occupancy. JOURNAL OF THREATENED TAXA 2022. [DOI: 10.11609/jott.7483.14.7.21331-21346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The Javan Leopard is endemic to the Indonesian island of Java and has been classified as Endangered. Reliable information about its population status, distribution, and density is lacking but are essential to guide conservation efforts and provide a benchmark for management decisions. Our study represents the first empirical density and occupancy estimates for the Leopard in West Java and provides baseline data for this region. We used camera trap data collected from February 2009 to October 2018 in six study areas comprising a sampling effort of 10,955 camera trap days in a total area of 793.5 km2. We identified 55 individual Leopards in these areas and estimated Leopard density using spatially explicit capture-recapture. Population density estimates range from 4.9 individuals/100 km2 in Gunung Guntur-Papandayan Nature Reserve to 16.04 individuals/100 km2 in Gunung Gede Pangrango National Park. Latter is among the globally highest Leopard densities. Based on detection data, we modelled single-season Leopard occupancy using three sampling covariates and eight site covariates. Modelling revealed that the two covariates forest cover and presence of Wild Boar are the strongest predictors for Leopard occupancy in our study areas. We recommend assessing and monitoring Leopard distribution, density and occupancy in other areas of Java and emphasize that a landscape approach for conservation of the Javan Leopard is imperative.
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5
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Pereira KS, Gibson L, Biggs D, Samarasinghe D, Braczkowski AR. Individual Identification of Large Felids in Field Studies: Common Methods, Challenges, and Implications for Conservation Science. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.866403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Large felids represent some of the most threatened large mammals on Earth, critical for both tourism economies and ecosystem function. Most populations are in a state of decline, and their monitoring and enumeration is therefore critical for conservation. This typically rests on the accurate identification of individuals within their populations. We review the most common and current survey methods used in individual identification studies of large felid ecology (body mass > 25 kg). Remote camera trap photography is the most extensively used method to identify leopards, snow leopards, jaguars, tigers, and cheetahs which feature conspicuous and easily identifiable coat patterning. Direct photographic surveys and genetic sampling are commonly used for species that do not feature easily identifiable coat patterning such as lions. We also discuss the accompanying challenges encountered in several field studies, best practices that can help increase the precision and accuracy of identification and provide generalised ratings for the common survey methods used for individual identification.
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6
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Braczkowski A, Schenk R, Samarasinghe D, Biggs D, Richardson A, Swanson N, Swanson M, Dheer A, Fattebert J. Leopard and spotted hyena densities in the Lake Mburo National Park, southwestern Uganda. PeerJ 2022; 10:e12307. [PMID: 35127275 PMCID: PMC8801179 DOI: 10.7717/peerj.12307] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/22/2021] [Indexed: 01/06/2023] Open
Abstract
Robust measures of animal densities are necessary for effective wildlife management. Leopards (Panthera pardus) and spotted hyenas (Crocuta Crocuta) are higher order predators that are data deficient across much of their East African range and in Uganda, excepting for one peer-reviewed study on hyenas, there are presently no credible population estimates for these species. A lack of information on the population status and even baseline densities of these species has ramifications as leopards are drawcards for the photo-tourism industry, and along with hyenas are often responsible for livestock depredations from pastoralist communities. Leopards are also sometimes hunted for sport. Establishing baseline density estimates for these species is urgently needed not only for population monitoring purposes, but in the design of sustainable management offtakes, and in assessing certain conservation interventions like financial compensation for livestock depredation. Accordingly, we ran a single-season survey of these carnivores in the Lake Mburo National Park of south-western Uganda using 60 remote camera traps distributed in a paired format at 30 locations. We analysed hyena and leopard detections under a Bayesian spatially explicit capture-recapture (SECR) modelling framework to estimate their densities. This small national park (370 km2) is surrounded by Bahima pastoralist communities with high densities of cattle on the park edge (with regular park incursions). Leopard densities were estimated at 6.31 individuals/100 km2 (posterior SD = 1.47, 95% CI [3.75-9.20]), and spotted hyena densities were 10.99 individuals/100 km2, but with wide confidence intervals (posterior SD = 3.35, 95% CI [5.63-17.37]). Leopard and spotted hyena abundance within the boundaries of the national park were 24.87 (posterior SD 7.78) and 39.07 individuals (posterior = SD 13.51) respectively. Leopard densities were on the middle end of SECR studies published in the peer-reviewed literature over the last 5 years while spotted hyena densities were some of the first reported in the literature using SECR, and similar to a study in Botswana which reported 11.80 spotted hyenas/100 km2. Densities were not noticeably lower at the park edge, and in the southwest of our study site, despite repeated cattle incursions into these areas. We postulate that the relatively high densities of both species in the region could be owed to impala Aepyceros melampus densities ranging from 16.6-25.6 impala/km2. Another, potential explanatory variable (albeit a speculative one) is the absence of interspecific competition from African lions (Panthera leo), which became functionally extinct (there is only one male lion present) in the park nearly two decades ago. This study provides the first robust population estimate of these species anywhere in Uganda and suggests leopards and spotted hyenas continue to persist in the highly modified landscape of Lake Mburo National Park.
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Affiliation(s)
- Aleksander Braczkowski
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China,Resilient Conservation Group, Centre for Planetary Health and Food Security, Griffith University, Nathan, Queensland, Australia,School of Natural Resource Management, Nelson Mandela University, George Campus, George, Western Cape, South Africa
| | | | - Dinal Samarasinghe
- Wildlife Research and Nature Conservation Foundation (WRNCF), Colombo, Sri Lanka
| | - Duan Biggs
- Resilient Conservation Group, Centre for Planetary Health and Food Security, Griffith University, Nathan, Queensland, Australia,School of Earth and Sustainability. Northern Arizona University, Flagstaff, Az, USA,Centre for Complex Systems in Transition, School of Public Leadership, Stellenbosch University, Stellenbosch, South Africa
| | - Allie Richardson
- School of Biological Science, The University of Queensland, Brisbane, Queensland
| | | | | | - Arjun Dheer
- Department of Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Julien Fattebert
- Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, United States,Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
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7
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Population density estimate of leopards (Panthera pardus) in north-western Mpumalanga, South Africa, determined using spatially explicit capture–recapture methods. Mamm Biol 2021. [DOI: 10.1007/s42991-021-00179-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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8
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Coe ST, Elmore JA, Elizondo EC, Loss SR. Free-ranging domestic cat abundance and sterilization percentage following five years of a trap–neuter–return program. WILDLIFE BIOLOGY 2021. [DOI: 10.2981/wlb.00799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Seraiah T. Coe
- S. T. Coe (https://orcid.org/0000-0002-5880-180X) ✉ , J. A. Elmore and S. R. Loss, Dept of Natural Resource Ecology and Management, Oklahoma State Univ., Stillwater, OK, USA. JAE also at: Dept of Wildlife, Fisheries and Aquaculture
| | - Jared A. Elmore
- S. T. Coe (https://orcid.org/0000-0002-5880-180X) ✉ , J. A. Elmore and S. R. Loss, Dept of Natural Resource Ecology and Management, Oklahoma State Univ., Stillwater, OK, USA. JAE also at: Dept of Wildlife, Fisheries and Aquaculture
| | - Elisa C. Elizondo
- E. C. Elizondo, Dept of Entomology and Wildlife Ecology, Univ. of Delaware, Newark, DE, USA
| | - Scott R. Loss
- S. T. Coe (https://orcid.org/0000-0002-5880-180X) ✉ , J. A. Elmore and S. R. Loss, Dept of Natural Resource Ecology and Management, Oklahoma State Univ., Stillwater, OK, USA. JAE also at: Dept of Wildlife, Fisheries and Aquaculture
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9
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Harihar A, Lahkar D, Singh A, Das SK, Ahmed MF, Begum RH. Population density modelling of mixed polymorphic phenotypes: an application of spatial mark‐resight models. Anim Conserv 2021. [DOI: 10.1111/acv.12677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- A. Harihar
- Panthera New York NY USA
- Nature Conservation Foundation Mysore Karnataka India
| | - D. Lahkar
- Aaranyak Guwahati Assam India
- Department of Life Science and Bioinformatics Assam University (Diphu Campus) Diphu Assam India
| | | | | | | | - R. H. Begum
- Department of Life Science and Bioinformatics Assam University (Diphu Campus) Diphu Assam India
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10
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Pilfold NW, Letoluai A, Ruppert K, Glikman JA, Stacy‐Dawes J, O’Connor D, Owen M. Confirmation of black leopard (
Panthera pardus pardus
) living in Laikipia County, Kenya. Afr J Ecol 2019. [DOI: 10.1111/aje.12586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Nicholas W. Pilfold
- Institute for Conservation Research San Diego Zoo Global San Diego California
| | | | - Kirstie Ruppert
- Institute for Conservation Research San Diego Zoo Global San Diego California
| | - Jenny A. Glikman
- Institute for Conservation Research San Diego Zoo Global San Diego California
| | - Jenna Stacy‐Dawes
- Institute for Conservation Research San Diego Zoo Global San Diego California
| | - David O’Connor
- Institute for Conservation Research San Diego Zoo Global San Diego California
| | - Megan Owen
- Institute for Conservation Research San Diego Zoo Global San Diego California
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11
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Ratnayeke S, van Manen FT, Clements GR, Kulaimi NAM, Sharp SP. Carnivore hotspots in Peninsular Malaysia and their landscape attributes. PLoS One 2018; 13:e0194217. [PMID: 29617402 PMCID: PMC5884492 DOI: 10.1371/journal.pone.0194217] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Accepted: 02/27/2018] [Indexed: 11/19/2022] Open
Abstract
Mammalian carnivores play a vital role in ecosystem functioning. However, they are prone to extinction because of low population densities and growth rates, and high levels of persecution or exploitation. In tropical biodiversity hotspots such as Peninsular Malaysia, rapid conversion of natural habitats threatens the persistence of this vulnerable group of animals. Here, we carried out the first comprehensive literature review on 31 carnivore species reported to occur in Peninsular Malaysia and updated their probable distribution. We georeferenced 375 observations of 28 species of carnivore from 89 unique geographic locations using records spanning 1948 to 2014. Using the Getis-Ord Gi*statistic and weighted survey records by IUCN Red List status, we identified hotspots of species that were of conservation concern and built regression models to identify environmental and anthropogenic landscape factors associated with Getis-Ord Gi* z scores. Our analyses identified two carnivore hotspots that were spatially concordant with two of the peninsula's largest and most contiguous forest complexes, associated with Taman Negara National Park and Royal Belum State Park. A cold spot overlapped with the southwestern region of the Peninsula, reflecting the disappearance of carnivores with higher conservation rankings from increasingly fragmented natural habitats. Getis-Ord Gi* z scores were negatively associated with elevation, and positively associated with the proportion of natural land cover and distance from the capital city. Malaysia contains some of the world's most diverse carnivore assemblages, but recent rates of forest loss are some of the highest in the world. Reducing poaching and maintaining large, contiguous tracts of lowland forests will be crucial, not only for the persistence of threatened carnivores, but for many mammalian species in general.
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Affiliation(s)
- Shyamala Ratnayeke
- Department of Biological Sciences, Sunway University, Bandar Sunway, Malaysia
| | - Frank T. van Manen
- U.S. Geological Survey, Northern Rocky Mountain Science Center, Interagency Grizzly Bear Study Team, Bozeman, Montana, United States of America
| | - Gopalasamy Reuben Clements
- Department of Biological Sciences, Sunway University, Bandar Sunway, Malaysia
- Rimba, Kuala Lumpur, Malaysia
| | - Noor Azleen Mohd Kulaimi
- Ex-Situ Conservation Division, Department of Wildlife and National Parks, Kuala Lumpur, Malaysia
| | - Stuart P. Sharp
- Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
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12
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Rostro-García S, Kamler JF, Crouthers R, Sopheak K, Prum S, In V, Pin C, Caragiulo A, Macdonald DW. An adaptable but threatened big cat: density, diet and prey selection of the Indochinese leopard ( Panthera pardus delacouri) in eastern Cambodia. ROYAL SOCIETY OPEN SCIENCE 2018; 5:171187. [PMID: 29515839 PMCID: PMC5830728 DOI: 10.1098/rsos.171187] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Accepted: 01/05/2018] [Indexed: 06/15/2023]
Abstract
We studied the Indochinese leopard (Panthera pardus delacouri) in eastern Cambodia, in one of the few potentially remaining viable populations in Southeast Asia. The aims were to determine the: (i) current leopard density in Srepok Wildlife Sanctuary (SWS) and (ii) diet, prey selection and predation impact of leopard in SWS. The density, estimated using spatially explicit capture-recapture models, was 1.0 leopard/100 km2, 72% lower than an estimate from 2009 at the same site, and one of the lowest densities ever reported in Asia. Dietary analysis of 73 DNA confirmed scats showed leopard consumed 13 prey species, although ungulates comprised 87% of the biomass consumed (BC). The overall main prey (42% BC) was banteng (Bos javanicus), making this the only known leopard population whose main prey had adult weight greater than 500 kg. Consumption of wild pig (Sus scrofa) was also one of the highest ever reported (22% BC), indicating leopard consistently predated on ungulates with some of the largest adult weights in SWS. There were important differences in diet and prey selection between sexes, as males consumed mostly banteng (62% BC) in proportion to availability, but few muntjac (Muntiacus vaginalis; 7% BC), whereas females selectively consumed muntjac (56% BC) and avoided banteng (less than 1% BC). Predation impact was low (0.5-3.2% of populations) for the three ungulate species consumed. We conclude that the Indochinese leopard is an important apex predator in SWS, but this unique population is declining at an alarming rate and will soon be eradicated unless effective protection is provided.
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Affiliation(s)
- Susana Rostro-García
- Wildlife Conservation Research Unit, The Recanati-Kaplan Centre, Department of Zoology, University of Oxford, Tubney House, Abingdon Road, Tubney, Abingdon OX13 5QL, UK
| | - Jan F. Kamler
- Panthera, 8 West 40th Street, 18th Floor, New York, NY 10018, USA
| | - Rachel Crouthers
- World Wide Fund for Nature Cambodia, Street 352, Boeun Keng Kang I, Phnom Penh, Cambodia
| | - Keo Sopheak
- Provincial Department of Environment, Mondulkiri, Sen Monorom, Cambodia
| | - Sovanna Prum
- World Wide Fund for Nature Cambodia, Street 352, Boeun Keng Kang I, Phnom Penh, Cambodia
- Provincial Department of Environment, Mondulkiri, Sen Monorom, Cambodia
| | - Visattha In
- World Wide Fund for Nature Cambodia, Street 352, Boeun Keng Kang I, Phnom Penh, Cambodia
| | - Chanratana Pin
- World Wide Fund for Nature Cambodia, Street 352, Boeun Keng Kang I, Phnom Penh, Cambodia
| | - Anthony Caragiulo
- Sackler Institute for Comparative Genomics, American Museum of Natural History, 79th Street at Central Park West, New York, NY 10024, USA
| | - David W. Macdonald
- Wildlife Conservation Research Unit, The Recanati-Kaplan Centre, Department of Zoology, University of Oxford, Tubney House, Abingdon Road, Tubney, Abingdon OX13 5QL, UK
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13
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Krausman PR. Some surprises are better than others. J Wildl Manage 2017. [DOI: 10.1002/jwmg.21297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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14
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Mapping black panthers: Macroecological modeling of melanism in leopards (Panthera pardus). PLoS One 2017; 12:e0170378. [PMID: 28379961 PMCID: PMC5381760 DOI: 10.1371/journal.pone.0170378] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 01/04/2017] [Indexed: 11/19/2022] Open
Abstract
The geographic distribution and habitat association of most mammalian polymorphic phenotypes are still poorly known, hampering assessments of their adaptive significance. Even in the case of the black panther, an iconic melanistic variant of the leopard (Panthera pardus), no map exists describing its distribution. We constructed a large database of verified records sampled across the species’ range, and used it to map the geographic occurrence of melanism. We then estimated the potential distribution of melanistic and non-melanistic leopards using niche-modeling algorithms. The overall frequency of melanism was ca. 11%, with a significantly non-random spatial distribution. Distinct habitat types presented significantly different frequencies of melanism, which increased in Asian moist forests and approached zero across most open/dry biomes. Niche modeling indicated that the potential distributions of the two phenotypes were distinct, with significant differences in habitat suitability and rejection of niche equivalency between them. We conclude that melanism in leopards is strongly affected by natural selection, likely driven by efficacy of camouflage and/or thermoregulation in different habitats, along with an effect of moisture that goes beyond its influence on vegetation type. Our results support classical hypotheses of adaptive coloration in animals (e.g. Gloger’s rule), and open up new avenues for in-depth evolutionary analyses of melanism in mammals.
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15
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Ngoprasert D, Lynam AJ, Gale GA. Effects of temporary closure of a national park on leopard movement and behaviour in tropical Asia. Mamm Biol 2017. [DOI: 10.1016/j.mambio.2016.11.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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16
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Lee PS, Gan HM, Clements GR, Wilson JJ. Field calibration of blowfly-derived DNA against traditional methods for assessing mammal diversity in tropical forests. Genome 2016; 59:1008-1022. [DOI: 10.1139/gen-2015-0193] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Mammal diversity assessments based on DNA derived from invertebrates have been suggested as alternatives to assessments based on traditional methods; however, no study has field-tested both approaches simultaneously. In Peninsular Malaysia, we calibrated the performance of mammal DNA derived from blowflies (Diptera: Calliphoridae) against traditional methods used to detect species. We first compared five methods (cage trapping, mist netting, hair trapping, scat collection, and blowfly-derived DNA) in a forest reserve with no recent reports of megafauna. Blowfly-derived DNA and mist netting detected the joint highest number of species (n = 6). Only one species was detected by multiple methods. Compared to the other methods, blowfly-derived DNA detected both volant and non-volant species. In another forest reserve, rich in megafauna, we calibrated blowfly-derived DNA against camera traps. Blowfly-derived DNA detected more species (n = 11) than camera traps (n = 9), with only one species detected by both methods. The rarefaction curve indicated that blowfly-derived DNA would continue to detect more species with greater sampling effort. With further calibration, blowfly-derived DNA may join the list of traditional field methods. Areas for further investigation include blowfly feeding and dispersal biology, primer biases, and the assembly of a comprehensive and taxonomically-consistent DNA barcode reference library.
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Affiliation(s)
- Ping-Shin Lee
- Museum of Zoology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Ecology and Biodiversity Program, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Han Ming Gan
- School of Science, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia
- Monash University Malaysia Genomics Facility, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia
| | - Gopalasamy Reuben Clements
- School of Science, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia
- Centre for Tropical Environmental and Sustainability Science, and College of Marine and Environmental Sciences, James Cook University, 4870 Cairns, Queensland, Australia
- Kenyir Research Institute, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia
- Rimba, 4 Jalan 1/9D, 43650 Bandar Baru Bangi, Selangor, Malaysia
| | - John-James Wilson
- Museum of Zoology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Ecology and Biodiversity Program, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
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17
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Elizondo EC, Loss SR. Using trail cameras to estimate free-ranging domestic cat abundance in urban areas. WILDLIFE BIOLOGY 2016. [DOI: 10.2981/wlb.00237] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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18
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Silva LG, Oliveira TG, Kasper CB, Cherem JJ, Moraes EA, Paviolo A, Eizirik E. Biogeography of polymorphic phenotypes: Mapping and ecological modelling of coat colour variants in an elusive Neotropical cat, the jaguarundi (
Puma yagouaroundi
). J Zool (1987) 2016. [DOI: 10.1111/jzo.12358] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- L. G. Silva
- PUCRS Faculdade de Biociências Laboratório de Biologia Genômica e Molecular Porto Alegre RS Brazil
| | - T. G. Oliveira
- Departamento de Biologia Universidade Estadual do Maranhão São Luís MA Brazil
- Instituto Pró‐Carnívoros Atibaia SP Brazil
| | - C. B. Kasper
- Universidade Federal do Pampa – UNIPAMPA São Gabriel RS Brazil
| | | | | | - A. Paviolo
- Instituto de Biología Subtropical Universidad Nacional de Misiones – CONICET Puerto Iguazú‐Misiones Argentina
| | - E. Eizirik
- PUCRS Faculdade de Biociências Laboratório de Biologia Genômica e Molecular Porto Alegre RS Brazil
- Instituto Pró‐Carnívoros Atibaia SP Brazil
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