McKinney Tracie
Applied Sciences, University of South Wales, Pontypridd, United Kingdom.
Am J Primatol. 2015 Jul;77(7):715-26. doi: 10.1002/ajp.22395. Epub 2015 Mar 24.
Many nonhuman primates live in proximity to humans, and all studied primate populations are influenced in some ways by human interaction. While the effects of human interference on primate behavior and ecology are an important area of research in contemporary primatology, to date there is no systematic way to report the types or level of anthropogenic influence for a primate study population. In this paper, I introduce a diagnostic classification system that will allow primate field researchers to clearly and consistently report anthropogenic conditions at their study sites. This system provides a way to identify population conditions for four major variables: landscape, human-nonhuman primate interface, diet, and predation risk. The incredible diversity of the Order Primates necessitates a descriptive system that is applicable across a wide range of habitat types, social groupings, and ecological roles, so the proposed classification system has been specifically designed to avoid quantitative ranking. Instead, the system is intended to provide a standardized way to report a wealth of population and site information in a simple format. This will allow for meta-analysis of specific conditions across study sites, leading to a greater understanding of the effects of different forms of anthropogenic influence on primate behavior and ecology.
许多非人类灵长类动物与人类生活在相近的区域，并且所有已研究的灵长类种群都在某种程度上受到人类互动的影响。虽然人类干扰对灵长类动物行为和生态的影响是当代灵长类学研究的一个重要领域，但迄今为止，尚无系统的方法来报告灵长类研究种群的人为影响类型或程度。在本文中，我介绍了一种诊断分类系统，该系统将使灵长类动物野外研究人员能够清晰、一致地报告其研究地点的人为状况。该系统提供了一种识别四个主要变量的种群状况的方法：景观、人类与非人类灵长类动物的界面、饮食和捕食风险。灵长目动物令人难以置信的多样性需要一个适用于广泛栖息地类型、社会群体和生态角色的描述性系统，因此所提出的分类系统经过专门设计以避免定量排名。相反，该系统旨在提供一种标准化的方式，以简单的格式报告大量的种群和地点信息。这将允许对不同研究地点的特定状况进行荟萃分析，从而更深入地了解不同形式的人为影响对灵长类动物行为和生态的作用。
