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Efficient Mammal Biodiversity Surveys for Ecological Restoration Monitoring
Integrated Environmental Assessment and Management ( IF 3.0 ) Pub Date : 2020-08-08 , DOI: 10.1002/ieam.4324
Nicholas S Green 1, 2, 3 , Mark L Wildhaber 1 , Janice L Albers 1, 4 , Thomas W Pettit 5 , Michael J Hooper 1
Affiliation  

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)

中文翻译:


用于生态恢复监测的有效哺乳动物生物多样性调查



有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。我们研究了不同的采样工作对小型哺乳动物(诱捕横断面)、蝙蝠(被动声学检测)和中型到大型哺乳动物(追踪相机)的调查所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 个低地硬木恢复地点的哺乳动物生物多样性数据。二次抽样数据用于模拟一系列努力程度的监测调查。然后,我们使用分层贝叶斯非线性混合模型来分析采样工作的不同组成部分如何影响观察到的物种丰富度(一个关键的监测结果)。我们发现,观察到的小型哺乳动物丰富度随着调查中横断面数量的增加而增加,而观察到的蝙蝠和中型到大型哺乳动物的丰富度则随着采样持续时间的增加而增加。地点之间的差异对于观察小型哺乳动物和蝙蝠的丰富度很重要,但对于中型到大型哺乳动物则不然。模拟调查中观察到的丰富度的关键驱动因素与目标动物群与栖息地相互作用的空间尺度有关,丰富度的降低伴随着动物与栖息地相互作用的空间尺度的扩大。我们的研究结果提出了针对有效量化管理地点的哺乳动物多样性的分类单元特定建议。整体环境评估管理2020;00:1–13。 © 2020 作者。综合环境评估和管理由 Wiley periodicals LLC 代表环境毒理学与化学学会 (SETAC) 出版
更新日期:2020-08-08
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