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用于生态恢复监测的高效哺乳动物生物多样性调查

Efficient Mammal Biodiversity Surveys for Ecological Restoration Monitoring.

作者信息

Green Nicholas S, Wildhaber Mark L, Albers Janice L, Pettit Thomas W, Hooper Michael J

机构信息

US Geological Survey, Columbia Environmental Research Center, Columbia, Missouri.

Waterborne Environmental, Inc, Leesburg, Virginia, USA.

出版信息

Integr Environ Assess Manag. 2024 Nov;20(6):1969–1981. doi: 10.1002/ieam.4324. Epub 2020 Sep 25.

DOI:10.1002/ieam.4324
PMID:32770800
Abstract

Efficient biodiversity surveys are critical for successful restoration monitoring and management. We studied the effect of varying sampling effort on the observed species richness of surveys of small mammals (trapping transects), bats (passive acoustic detection), and medium to large mammals (trail cameras). Field studies provided mammalian biodiversity data for 4 bottomland hardwood restoration sites in northeastern Indiana. Subsampled data were used to simulate monitoring surveys with a range of levels of effort. We then used hierarchical Bayesian nonlinear mixed models to analyze how different components of sampling effort affected observed species richness, a key monitoring outcome. We found that observed small mammal richness increased with the increased number of transects in a survey, while observed bat and medium to large mammal richness increased with the increased duration of sampling. Variation between sites was important for the observed richness of small mammals and bats but not for medium to large mammals. The key driver of richness observed in simulated surveys was related to the spatial scale at which target fauna interact with the habitat, with decreasing richness accompanied by a greater spatial scale of animal-habitat interactions. Our findings suggest taxon-specific recommendations for efficiently quantifying the mammalian diversity of managed sites. Integr Environ Assess Manag 2020;00:1-13. © 2020 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

摘要

高效的生物多样性调查对于成功的恢复监测和管理至关重要。我们研究了不同采样强度对小型哺乳动物调查(诱捕样带)、蝙蝠调查(被动声学检测)以及中型至大型哺乳动物调查(相机陷阱)中观察到的物种丰富度的影响。实地研究提供了印第安纳州东北部4个河漫滩硬木林恢复地点的哺乳动物生物多样性数据。对数据进行二次抽样以模拟不同强度水平的监测调查。然后,我们使用分层贝叶斯非线性混合模型来分析采样强度的不同组成部分如何影响观察到的物种丰富度这一关键监测结果。我们发现,在小型哺乳动物调查中,观察到的物种丰富度随着样带数量的增加而增加,而在蝙蝠以及中型至大型哺乳动物调查中,观察到的物种丰富度随着采样持续时间的增加而增加。不同地点之间的差异对小型哺乳动物和蝙蝠观察到的物种丰富度很重要,但对中型至大型哺乳动物不重要。在模拟调查中观察到的物种丰富度的关键驱动因素与目标动物与栖息地相互作用的空间尺度有关,随着动物 - 栖息地相互作用空间尺度的增大,物种丰富度降低。我们的研究结果提出了针对有效量化管理地点哺乳动物多样性的特定分类群建议。《综合环境评估与管理》2020年;00:1 - 13。© 2020作者。由威利期刊有限责任公司代表环境毒理学与化学学会(SETAC)出版的《综合环境评估与管理》

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