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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Cryptic mammals caught on camera: Assessing the utility of range wide camera trap data for conserving the endangered Asian tapir
Biological Conservation, Volume 162, Year 2013
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Description
The loss and fragmentation of substantial areas of forest habitat, in combination with rampant hunting, has pushed many of Southeast Asia's megafauna species to the verge of extinction. However, the extent of these declines is rarely quantified, thereby weakening lessons learned and species-based management. This need not be the case as a proliferation of camera trap surveys for large-bodied mammals across Southeast Asia, which use a standardized sampling technique, presents a rich yet under-utilized wildlife data set. Furthermore, advances in statistical techniques for assessing species distribution provide new opportunities for conducting comparative regional analyses. Here, we focus on one of Southeast Asia's least known species of megafauna, the Endangered Asian tapir (Tapirus indicus), to investigate the performance of a camera trap-based spatial modeling approach in conducting a range-wide species assessment. Detection data were collectively collated from 52,904 trap days and 1,128 camera traps located across 19 study areas drawn from the Asian tapir's entire range. Considerable variation in tapir occurrence was found between study areas in: Malaysia (0.52-0.77); Sumatra, Indonesia (0.12-0.90); Thailand (0.00-0.65); and, Myanmar (0.00-0.26), with generally good levels of estimate precision. Although tapirs were widespread (recorded in 17 of the 19 study areas), their occurrence was significantly and negatively correlated with human disturbance. Thus, this study extends the previously known applicability of camera traps to include a threatened and cryptic species by identifying where and how tapirs persist (including new records of occurrence), where future surveys should be conducted and providing a benchmark for measuring future conservation management efforts. © 2013 Elsevier Ltd.
Authors & Co-Authors
Linkie, Matthew
Unknown Affiliation
Guillera-Arroita, Gurutzeta
Unknown Affiliation
Smith, Joseph
Unknown Affiliation
Ario, Anton
Unknown Affiliation
Bertagnolio, Gregoire
Unknown Affiliation
Cheong, Francis
Unknown Affiliation
Clements, Gopalasamy Reuben
Unknown Affiliation
Dinata, Yoan
Unknown Affiliation
Duangchantrasiri, Somphot
Unknown Affiliation
Fredriksson, Gabriella M.
Unknown Affiliation
Gumal, Melvin Terry
Unknown Affiliation
Horng, Liang Song
Unknown Affiliation
Kawanishi, Kae
Unknown Affiliation
Khakim, Faesal Rakhman
Unknown Affiliation
Kinnaird, Margaret F.
Unknown Affiliation
Kiswayadi, Dedy
Unknown Affiliation
Lubis, Abu H.
Unknown Affiliation
Lynam, Antony J.
Unknown Affiliation
Maryati,
Unknown Affiliation
Maung, Myint
Unknown Affiliation
Ngoprasert, Dusit
Unknown Affiliation
Novarino, Wilson
Unknown Affiliation
O'Brien, Timothy G.
Unknown Affiliation
Parakkasi, Karmila
Unknown Affiliation
Peters, Helga
Unknown Affiliation
Priatna, Dolly
Unknown Affiliation
Rayan, D. Mark
Unknown Affiliation
Seuaturien, Naret
Unknown Affiliation
Shwe, Nay Myo
Unknown Affiliation
Steinmetz, Robert
Unknown Affiliation
Sugesti, Arif M.
Unknown Affiliation
Sunarto,
Unknown Affiliation
Sunquist, Melvin E.
Unknown Affiliation
Umponjan, Mayuree
Unknown Affiliation
Wibisono, Hariyo Tabah
Unknown Affiliation
Wong, Christopher C.T.
Unknown Affiliation
Zulfahmi,
Unknown Affiliation
Statistics
Citations: 60
Authors: 37
Affiliations: 27
Identifiers
Doi:
10.1016/j.biocon.2013.03.028
ISSN:
00063207
Study Design
Cross Sectional Study