Potential for camera-traps and spatial mark-resight models to improve monitoring of the critically endangered West African lion (Panthera leo)

Kané, Mamadou; Morin, Dana J.; Kelly, Marcella J.

doi:10.1007/s10531-015-1012-7

Cited by 35 publications

(41 citation statements)

References 60 publications

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“…), Niokolo Koba National Park in Senegal (Kane et al . ), Cederberg mountains of South Africa (Martins ) and Madagascar's Masoala‐Makira protected area (Farris et al . ).…”

Section: Methodsmentioning

confidence: 99%

Ecological correlates of the spatial co‐occurrence of sympatric mammalian carnivores worldwide

et al. 2018

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The composition of local mammalian carnivore communities has far-reaching effects on terrestrial ecosystems worldwide. To better understand how carnivore communities are structured, we analysed camera trap data for 108 087 trap days across 12 countries spanning five continents. We estimate local probabilities of co-occurrence among 768 species pairs from the order Carnivora and evaluate how shared ecological traits correlate with probabilities of co-occurrence. Within individual study areas, species pairs co-occurred more frequently than expected at random. Co-occurrence probabilities were greatest for species pairs that shared ecological traits including similar body size, temporal activity pattern and diet. However, co-occurrence decreased as compared to other species pairs when the pair included a large-bodied carnivore. Our results suggest that a combination of shared traits and top-down regulation by large carnivores shape local carnivore communities globally.

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“…), Niokolo Koba National Park in Senegal (Kane et al . ), Cederberg mountains of South Africa (Martins ) and Madagascar's Masoala‐Makira protected area (Farris et al . ).…”

Section: Methodsmentioning

confidence: 99%

Ecological correlates of the spatial co‐occurrence of sympatric mammalian carnivores worldwide

et al. 2018

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“…We analysed the two study areas in Argentina separately because they were independent studies carried out in vastly different ecosystems. In Africa, studies were located in the Cederberg mountains of Western Cape, South Africa (Martins, ), Ngamiland District of northern Botswana (Rich et al, ), Niokolo Koba National Park of Senegal (Kane, Morin, & Kelly, ) and the Masoala‐Makira protected landscape of Madagascar (Farris et al, ). In Asia, we included studies from the southern Riau landscape of central Sumatra in Indonesia (Sunarto, Kelly, Parakkasi, & Hutajulu, ), the Churia habitat in Chitwan National Park in the south‐central Terai Arc in Nepal (Thapa & Kelly, ) and seven reserves across central Iran (Farhadinia et al, ).…”

Section: Methodsmentioning

confidence: 99%

Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys

Rich

Davis

Farris

et al. 2017

Global Ecol Biogeogr

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Aim Biodiversity loss is a major driver of ecosystem change, yet the ecological data required to detect and mitigate losses are often lacking. Recently, camera trap surveys have been suggested as a method for sampling local wildlife communities, because these observations can be collated into a global monitoring network. To demonstrate the potential of camera traps for global monitoring, we assembled data from multiple local camera trap surveys to evaluate the interchange between fine‐ and broad‐scale processes impacting mammalian carnivore communities. Location Argentina, Belize, Botswana, Canada, Indonesia, Iran, Madagascar, Nepal, Norway, Senegal, South Africa, and the U.S.A. Methods We gathered camera trap data, totalling > 100,000 trap nights, from across five continents. To analyse local and species‐specific responses to anthropogenic and environmental variables, we fitted multispecies occurrence models to each study area. To analyse global‐level responses, we then fitted a multispecies, multi‐area occurrence model. Results We recorded 4,805 detections of 96 mammalian carnivore species photographed across 1,714 camera stations located in 12 countries. At the global level, our models revealed that carnivore richness and occupancy within study areas was positively associated with prey availability. Occupancy within study areas also tended to increase with greater protection and greater distances to roads. The strength of these relationships, however, differed among countries. Main conclusions We developed a research framework for leveraging global camera trap data to evaluate patterns of mammalian carnivore occurrence and richness across multiple spatial scales. Our research highlights the importance of intact prey populations and protected areas in conserving carnivore communities. Our research also highlights the potential of camera traps for monitoring wildlife communities and provides a case study for how this can be achieved on a global scale. We encourage greater integration and standardization among camera trap studies worldwide, which would help inform effective conservation planning for wildlife populations both locally and globally.

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“…Numerous techniques have been developed to estimate abundance of lions including individual counts12, distance sampling13, mark-recapture14, call-in surveys15, camera surveys1617, and track counts18, with individual counts, call-in surveys, and track counts most commonly used. The accuracy and precision of survey techniques varies and their application has led to scientific debates [e.g.…”

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confidence: 99%

Estimating Lion Abundance using N-mixture Models for Social Species

Belant

Bled

Wilton

et al. 2016

Sci Rep

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Declining populations of large carnivores worldwide, and the complexities of managing human-carnivore conflicts, require accurate population estimates of large carnivores to promote their long-term persistence through well-informed management We used N-mixture models to estimate lion (Panthera leo) abundance from call-in and track surveys in southeastern Serengeti National Park, Tanzania. Because of potential habituation to broadcasted calls and social behavior, we developed a hierarchical observation process within the N-mixture model conditioning lion detectability on their group response to call-ins and individual detection probabilities. We estimated 270 lions (95% credible interval = 170–551) using call-ins but were unable to estimate lion abundance from track data. We found a weak negative relationship between predicted track density and predicted lion abundance from the call-in surveys. Luminosity was negatively correlated with individual detection probability during call-in surveys. Lion abundance and track density were influenced by landcover, but direction of the corresponding effects were undetermined. N-mixture models allowed us to incorporate multiple parameters (e.g., landcover, luminosity, observer effect) influencing lion abundance and probability of detection directly into abundance estimates. We suggest that N-mixture models employing a hierarchical observation process can be used to estimate abundance of other social, herding, and grouping species.

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Potential for camera-traps and spatial mark-resight models to improve monitoring of the critically endangered West African lion (Panthera leo)

Cited by 35 publications

References 60 publications

Ecological correlates of the spatial co‐occurrence of sympatric mammalian carnivores worldwide

Ecological correlates of the spatial co‐occurrence of sympatric mammalian carnivores worldwide

Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys

Estimating Lion Abundance using N-mixture Models for Social Species

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