Drawn out of the shadows: Surveying secretive forest species with camera trap distance sampling
Drawn out of the shadows: Surveying secretive forest species with camera trap distance sampling
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DOI：
10.1111/1365-2664.13602
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发表时间：
2020-03-30
影响因子：
5.7
通讯作者：
Fruth, Barbara
中科院分区：
文献类型：
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作者：
Bessone, Mattia;Kuehl, Hjalmar S.;Fruth, Barbara
随着动物物种以前所未有的速度消失，我们需要一种有效的监测方法来提供可靠的种群密度和丰度估计，这对评估种群状况和趋势至关重要。我们在刚果民主共和国南部街区萨隆加国家公园17,127公里(2)的常绿低地雨林的743个地点系统地部署了160个相机陷阱(CT)。我们评估了CT距离采样(CTDS)对不同大小和行为的物种的适用性。为了提高估计的精度，我们评估了两种估计物种可获得性(A)的方法，以供CT检测。我们记录了16,700个视频剪辑，揭示了43个不同的动物分类群。我们估计了14种在物理、行为和生态特征上不同的物种的密度，并使用两种方法(A)“ACA”(Cappelle等人)从可用的视频片段中提取了物种特定的可获得性。[2019]上午J.Primatol，81，e22962)和(B)‘Aro’(Rowcliffe等人)。[2014]方法乙二醇法。埃沃尔。5、1170)。在样本量足够大的情况下，我们发现ACA和ARO在估计密度方面存在微小差异。相比之下，对摄像机的低可探测性和反应性是产生偏差的主要来源。CTDS被证明能有效地估计均匀分布的物种的密度，而不是零星分布的物种的密度。我们将相机陷阱距离采样(CTDS)应用于不同的脊椎动物群落，展示了这种方法在陆地野生动物调查中的巨大潜力，使我们能够快速评估物种的状况和趋势，从而转化为有效的保护战略。通过提供对刚果孔雀、巨型地面穿山甲和穿山甲等未被研究的物种的首次估计，CTDS可能被用作修订这些物种在IUCN受威胁物种红色名录中的保护地位的工具。基于我们遇到的限制，我们确定了对当前应用程序的改进，增强了该方法的一般适用性。
With animal species disappearing at unprecedented rates, we need an efficient monitoring method providing reliable estimates of population density and abundance, critical for the assessment of population status and trend.We deployed 160 camera traps (CTs) systematically over 743 locations covering 17,127 km(2) of evergreen lowland rainforest of Salonga National Park, block South, Democratic Republic of the Congo. We evaluated the applicability of CT distance sampling (CTDS) to species different in size and behaviour. To improve precision of estimates, we evaluated two methods estimating species' availability ('A') for detection by CTs.We recorded 16,700 video clips, revealing 43 different animal taxa. We estimated densities of 14 species differing in physical, behavioural and ecological traits, and extracted species-specific availability from available video footage using two methods (a) 'ACa' (Cappelle et al. [2019] Am. J. Primatol., 81, e22962) and (b) 'ARo' (Rowcliffe et al. [2014] Methods Ecol. Evol. 5, 1170). With sample sizes being large enough, we found minor differences between ACa and ARo in estimated densities. In contrast, low detectability and reactivity to the camera were main sources of bias. CTDS proved efficient for estimating density of homogenously rather than patchily distributed species.Synthesis and applications. Our application of camera trap distance sampling (CTDS) to a diverse vertebrate community demonstrates the enormous potential of this methodology for surveys of terrestrial wildlife, allowing rapid assessments of species' status and trends that can translate into effective conservation strategies. By providing the first estimates of understudied species such as the Congo peafowl, the giant ground pangolin and the cusimanses, CTDS may be used as a tool to revise these species' conservation status in the IUCN Red List of Threatened Species. Based on the constraints we encountered, we identify improvements to the current application, enhancing the general applicability of this method.