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Taking the bait: The influence of attractants and microhabitat on detections of fauna by remote‐sensing cameras
Ecological Management & Restoration ( IF 1.5 ) Pub Date : 2021-01-16 , DOI: 10.1111/emr.12444
Anthony R. Rendall , John G. White , Raylene Cooke , Desley A. Whisson , Thomas Schneider , Lisa Beilharz , Eleanor Poelsma , Julia Ryeland , Michael A. Weston

Autonomously triggered cameras are a common wildlife survey technique. The use of attractants and surrounding microhabitats is likely to influence detection probabilities and survey outcomes; however, few studies consider these factors. We compared three attractants (peanut butter‐based, tuna‐based and a control) in a Latin square design through a coastal shrubland with high microhabitat variability at Cape Otway, Victoria, Australia (38º50ʹS, 143º30ʹE). Deployments involved 36 cameras for four days in each of five years. The percentage cover of each vegetation structural type (low [no or sparse cover], moderate [grass] or high [shrubs]) within 20 m of each camera was calculated and reduced to a single variable using PCA. Dynamic occupancy modelling, with lure type and vegetation structure as covariates of detection probability, found that peanut butter attracted the greatest diversity of species (24 of 35 species, 69%) and yielded the greatest number of detections (50% of 319) when compared with tuna oil (66% and 24%, respectively) and the control (43% and 26%, respectively). Peanut butter attracted more Macropodidae (wallabies) and Muridae (rats and mice); however, vegetation structural variables were the greatest influence on Corvidae/Artamidae (raven/currawong) detections with higher detectability in more open areas. Vegetation structure also influenced Muridae detections. This study reinforces the critical choice of appropriate attractants and camera placement when investigating vertebrate groups and highlights the role of microhabitat in the detection of small mammals and birds. We suggest future large‐scale camera surveys consider different bait types and microhabitats in their designs, to control for any biases and enable future advice on ‘optimal’ methods.

中文翻译:

诱饵:引诱剂和微生境对遥感相机检测动物群的影响

自主触发的摄像头是一种常见的野生动植物调查技术。引诱剂和周围微生境的使用可能会影响检测概率和调查结果;但是,很少有研究考虑这些因素。我们通过在澳大利亚维多利亚州奥特韦角(38º50ʹS,143º30ʹE)的高生境变异性沿海灌木丛,比较了拉丁方设计中的三种引诱剂(花生酱,金枪鱼和对照)。部署涉及36台摄像机,每五年一次,为期四天。计算每台摄像机在20 m内每种植被结构类型的覆盖率(低[无或稀疏],中度[草]或高[灌木]),并使用PCA将其减少为一个变量。动态占用模型,以诱饵类型和植被结构作为检测概率的协变量,发现与黄油金枪鱼油(分别为66%和24%)相比,花生酱吸引了最大的物种多样性(35个物种中的24个,占69%),检出的数量最多(319个物种中的50%)。分别为43%和26%)。花生酱吸引了大袋鼠(鼠科)和鼠科(鼠和鼠)。然而,植被结构变量对Corvidae / Artamidae(乌鸦/ currawong)的检测影响最大,在更开放的地区具有更高的可检测性。植被结构也影响了鼠科的发现。这项研究在调查脊椎动物群体时加强了对适当引诱剂和照相机位置的关键选择,并强调了微栖息地在检测小型哺乳动物和鸟类中的作用。
更新日期:2021-01-28
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