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用于非侵入性山猫检测的新型毛发圈套器和基因方法。

Novel hair snare and genetic methods for non-invasive bobcat detection.

作者信息

Rounsville Thomas F, Rogers Richard E, Welsh Amy B, Ryan Christopher W, Anderson James T

机构信息

School of Natural Resources West Virginia University Morgantown West Virginia USA.

West Virginia Division of Natural Resources Romney West Virginia USA.

出版信息

Ecol Evol. 2022 Jan 24;12(1):e8435. doi: 10.1002/ece3.8435. eCollection 2022 Jan.

Abstract

Over the past 20 years, the use of non-invasive hair snare surveys in wildlife research and management has become more prevalent. While these tools have been used to answer important research questions, these techniques often fail to gather information on elusive carnivores, such as bobcats (). Due to the limited success of previous bobcat studies using hair snares which required active rubbing, this technique has largely fallen out of use, in favor of camera trapping. The goal of our study was to construct a novel, passive bobcat hair snare that could be deployed regardless of terrain or vegetation features, which would be effective for use in capture-recapture population estimation at a large spatial scale. This new hair snare was deployed in 1500 10-km cells across West Virginia (USA) between two sampling seasons (2015-2016). Collected hair samples were analyzed with newly developed mitochondrial DNA primers specifically for felids and qPCR to determine species of origin, with enough sensitivity to identify samples as small as two bobcat hairs. Over the two years of the study, a total of 378 bobcat detections were recorded from 42,000 trap nights of sampling, for an overall rate of 0.9 detections/100 trap nights-nearly 2-6 times greater than any previous bobcat hair snare study. While the overall number of recaptured animals was low ( = 9), continued development of this platform should increase its usefulness in capture-recapture studies.

摘要

在过去20年里,非侵入性毛发陷阱调查在野生动物研究和管理中的应用变得更加普遍。虽然这些工具已被用于回答重要的研究问题,但这些技术往往无法收集有关难以捉摸的食肉动物的信息,比如短尾猫(山猫)。由于之前使用需要主动摩擦的毛发陷阱进行短尾猫研究的成功率有限,这种技术在很大程度上已不再使用,转而青睐于相机诱捕。我们研究的目标是构建一种新型的、被动式短尾猫毛发陷阱,它可以在不考虑地形或植被特征的情况下进行部署,在大空间尺度的捕获 - 重捕种群估计中有效使用。这个新的毛发陷阱在两个采样季节(2015 - 2016年)之间在美国西弗吉尼亚州的1500个10公里网格中进行了部署。收集到的毛发样本使用专门针对猫科动物新开发的线粒体DNA引物和定量聚合酶链反应(qPCR)进行分析,以确定毛发的来源物种,其灵敏度足以识别小至两根短尾猫毛发的样本。在这项研究的两年时间里,在42000个诱捕夜的采样中总共记录到378次短尾猫检测,总体检测率为0.9次检测/100个诱捕夜,几乎比之前任何短尾猫毛发陷阱研究高2 - 6倍。虽然重新捕获的动物总数较低(n = 9),但该平台的持续开发应会增加其在捕获 - 重捕研究中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba44/8796956/a60b9fedc4ae/ECE3-12-e8435-g001.jpg

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