2011
DOI: 10.1002/jwmg.230
|View full text |Cite
|
Sign up to set email alerts
|

Leopard density in post‐conflict landscape, Cambodia: Evidence from spatially explicit capture–recapture

Abstract: Effective conservation of large carnivores requires reliable estimates of population density, often obtained through capture-recapture analysis, in order to prioritize investments and assess conservation intervention effectiveness. Recent statistical advances and development of user-friendly software for spatially explicit capture-recapture (SECR) circumvent the difficulties in estimating effective survey area, and hence density, from capture-recapture data. We conducted a camera-trapping study on leopards (Pa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
70
2

Year Published

2012
2012
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 74 publications
(78 citation statements)
references
References 32 publications
(54 reference statements)
3
70
2
Order By: Relevance
“…Balme et al [27] obtained a density of 7.17 per 100 km −2 in a protected buffer area in South Africa while the non-protected farmlands had leopards at 2.49/100 km −2 . A recent study from a protected area in Cambodia, devoid of human habitations, obtained leopard density estimates of 3.6/100 km 2 and 3.8/100 km 2 using SECR (Spatially Explicit Capture Recapture) and conventional CR (Capture Recapture) methods [50]. Estimate of leopard density in India is available from only within protected areas with 15/100 km 2 [38] but this area is largely devoid of people and agricultural land-use.…”
Section: Discussionmentioning
confidence: 99%
“…Balme et al [27] obtained a density of 7.17 per 100 km −2 in a protected buffer area in South Africa while the non-protected farmlands had leopards at 2.49/100 km −2 . A recent study from a protected area in Cambodia, devoid of human habitations, obtained leopard density estimates of 3.6/100 km 2 and 3.8/100 km 2 using SECR (Spatially Explicit Capture Recapture) and conventional CR (Capture Recapture) methods [50]. Estimate of leopard density in India is available from only within protected areas with 15/100 km 2 [38] but this area is largely devoid of people and agricultural land-use.…”
Section: Discussionmentioning
confidence: 99%
“…To maximize detection probability for large carnivores, we situated cameras on an animal trail, ridgeline, or old logging road, and placed them approximately 45 cm above the ground in the trail center and 2-5 m from the middle of the trail. Leopard and other large cat movements are likely to be funneled by these features (as indicated by leopard signs; e.g., Karanth 1995, Gray andPrum 2012). Each station was located within a 1.7 Â 1.7-km (2.89 km 2 ) cell, and was situated as close to the center of each cell as possible to avoid clumping of stations, while not compromising the suitability of the location.…”
Section: Camera Trappingmentioning
confidence: 99%
“…Precision of abundance estimates in comparison with those produced by heterogeneity models used for other large felids, further highlight the favorable results of this study. Gray and Prum () compared mixture models and a Huggins type gender model (comparable to the spatial tactic model used here) for leopard Panthera pardus and detected differences in abundance estimates between the model types. However, true abundance of leopard was unknown, thus inferences regarding the accuracy of estimates could not be made.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the poor performance of the CAPTURE heterogeneity M h model for large carnivore species, this model has recently been deemed inappropriate for the use with these species (Gray & Prum, ). Our study confirms this, and thus previous studies having used this model for estimating cheetah abundance, might be inaccurate and represent overestimates of abundance (e.g., Marker et al., ; Marnewick et al., ).…”
Section: Discussionmentioning
confidence: 99%