Pangolins in global camera trap data: Implications for ecological monitoring
Pangolins in global camera trap data: Implications for ecological monitoring
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DOI：
10.1016/j.gecco.2019.e00769
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发表时间：
2019-10-01
影响因子：
4
通讯作者：
Challender, Daniel W. S.
中科院分区：
文献类型：
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作者：
Khwaja, Hannah;Buchan, Claire;Challender, Daniel W. S.
尽管被大量开发，但穿山甲（穿山甲科：穿山甲科）的研究有限，导致缺乏可靠的种群估计和对现存8个物种的标准化调查方法。摄像机诱捕是非歧视性质的，为大规模合作监测物种提供了独特的机会，为相对广泛的物种创造了大量数据。这有可能揭示稀有、神秘和未被充分研究的分类群的生态，对保护决策有影响。我们对穿山甲在非洲和亚洲范围内的相机捕获研究中获得的可用数据进行了全球分析。我们的目的是(1)评估现有摄像机捕获作为监测穿山甲种群的方法的效用，以及(2)深入了解穿山甲的分布和生态。我们分析了在22个国家进行的103次相机陷阱调查整理的数据，这些调查属于8种穿山甲物种中的7种，这些调查产生了超过50万次陷阱之夜和888次穿山甲遭遇。我们对三种穿山甲（Sunda pangolin Manis javanica， white-腹穿山甲Phataginus tricuspis和巨穿山甲Smutsia gigantea）进行了占用分析。发现概率随森林覆盖和人为影响程度的不同而变化，但都很低(
Despite being heavily exploited, pangolins (Pholidota: Manidae) have been subject to limited research, resulting in a lack of reliable population estimates and standardised survey methods for the eight extant species. Camera trapping represents a unique opportunity for broad-scale collaborative species monitoring due to its largely nondiscriminatory nature, which creates considerable volumes of data on a relatively wide range of species. This has the potential to shed light on the ecology of rare, cryptic and understudied taxa, with implications for conservation decision-making. We undertook a global analysis of available pangolin data from camera trapping studies across their range in Africa and Asia. Our aims were (1) to assess the utility of existing camera trapping efforts as a method for monitoring pangolin populations, and (2) to gain insights into the distribution and ecology of pangolins. We analysed data collated from 103 camera trap surveys undertaken across 22 countries that fell within the range of seven of the eight pangolin species, which yielded more than half a million trap nights and 888 pangolin encounters. We ran occupancy analyses on three species (Sunda pangolin Manis javanica, white-bellied pangolin Phataginus tricuspis and giant pangolin Smutsia gigantea). Detection probabilities varied with forest cover and levels of human influence for P. tricuspis, but were low (