Designing studies of predation risk for improved inference in carnivore-ungulate systems

Designing studies of predation risk for improved inference in carnivore-ungulate systems
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设计捕食风险研究以改进食肉动物-有蹄类动物系统的推理

DOI:
10.1016/j.biocon.2019.02.011
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发表时间:
2019
影响因子:
5.9
通讯作者:
Montgomery, Robert A.
Montgomery, Robert A.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Prugh, Laura R.;Sivy, Kelly J.;Mahoney, Peter J.;Ganz, Taylor R.;Ditmer, Mark A.;van de Kerk, Madelon;Gilbert, Sophie L.;Montgomery, Robert A.

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对捕食的致死和非致死(或“风险”)效应进行量化已成为食肉动物-有蹄类动物系统的主要研究焦点。虽然近几十年来有许多研究审查了捕食风险和风险影响,但缺乏标准化的方法阻碍了该领域的进展。我们提供了一个概述的五个主要研究设计的考虑因素,在食肉动物有蹄类动物系统中评估捕食风险和猎物的反应,突出不同的设计选择如何影响推理的强度和范围。首先,我们强调区分捕食风险(被杀的概率)和风险效应(反捕食行为对风险的反应成本)的重要性。其次,我们建议明确考虑使用标准化的框架,以促进跨研究比较的空间和时间尺度。第三,有蹄类动物使用视觉,听觉和嗅觉感觉通路来评估捕食风险。操纵风险信号的实验(例如,听觉回放或捕食者气味的应用)可以是强大的方法,但需要仔细考虑线索的剂量和类型。第四,有蹄类动物通常同时面临来自多个捕食者的威胁,我们强调了远程相机和结构方程模型的潜力,以帮助解决这一挑战。第五,新兴技术可能会大大提高我们评估风险的能力。我们讨论了几种有前途的技术,如动物传播的视频,无人驾驶飞行器和生理传感器。我们的结论与一般建议的研究设计,这可能会提高效用的食肉动物有蹄类动物系统的保护和管理的捕食风险研究。
Quantifying both the lethal and non-lethal (or “risk”) effects of predation has emerged as a major research focus in carnivore-ungulate systems. While numerous studies have examined predation risk and risk effects in recent decades, a lack of standardization in approaches has impeded progress in the field. We provide an overview of five major study design considerations involved in assessing predation risk and responses of prey in carnivore-ungulate systems, highlighting how different design choices can impact the strength and scope of inference. First, we stress the importance of distinguishing measures of predation risk (probability of being killed) from measures of risk effects (costs of antipredator behaviors in response to risk). Second, we recommend explicit consideration of spatial and temporal scales using a standardized framework to facilitate cross-study comparisons. Third, ungulates use visual, auditory, and olfactory sensory pathways to evaluate predation risk. Experiments that manipulate signals of risk (e.g., auditory playbacks or application of predator scent) can be powerful approaches, but the dosages and types of cues need to be carefully considered. Fourth, ungulates usually face threats from multiple predators simultaneously, and we highlight the potential for remote cameras and structural equation modeling to help address this challenge. Fifth, emerging technologies may substantially improve our ability to assess risk. We discuss several promising technologies, such as animal-borne video, unmanned aerial vehicles, and physiological sensors. We conclude with general recommendations for study design, which may improve the utility of predation risk research for the conservation and management of carnivore-ungulate systems.
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