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Studying Large Mammals With Imperfect Detection: Status and Habitat Preferences of Wild Cattle and Large Carnivores in Eastern C ambodia
Author(s) -
Gray Thomas N. E.
Publication year - 2012
Publication title -
biotropica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.813
H-Index - 96
eISSN - 1744-7429
pISSN - 0006-3606
DOI - 10.1111/j.1744-7429.2011.00846.x
Subject(s) - camera trap , threatened species , occupancy , leopard , habitat , ecology , near threatened species , deciduous , geography , distance sampling , habitat destruction , biology
Studying large mammal species in tropical forests is a conservation challenge with species’ behavior and ecology often increasing the probability of non‐detection during surveys. Consequently, knowledge of the distribution, status, and natural history of many large mammal species in S outheast A sia is limited. I developed occupancy models from camera‐trapping data, thereby accounting for imperfect detection at sampling sites, to clarify the status and habitat requirements of four globally threatened or near threatened large mammals (banteng B os javanicus , gaur B os gaurus , dhole C uon alpinus , and leopard P anthera pardus ) in M ondulkiri P rotected F orest, eastern C ambodia. Camera traps were operational for >3500 trap nights with 202 photographic encounters of the four study species. Model averaged occupancy estimates were between 5 percent (leopard) and 140 percent (gaur) higher than naive estimates ( i.e ., proportion of camera‐trap sites species recorded from) thus highlighting the importance of accounting for detectability during conservation surveys. I recommend the use of an occupancy framework when using camera‐trap data to study the status, ecology, and habitat preferences of poorly known and elusive species. The results highlight the importance of mixed deciduous and semi‐evergreen forest for wild cattle in eastern C ambodia and I emphasize that these habitats must be considered in conservation planning across the L ower M ekong D ry F orest E coregion.