Wildlife Research and Monitoring Section, Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry, Peterborough, Ontario, K9L 1Z8, Canada.
Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, K9L 1Z8, Canada.
Ecol Appl. 2022 Jan;32(1):e02470. doi: 10.1002/eap.2470. Epub 2021 Nov 28.
Habitat selection is a fundamental animal behavior that shapes a wide range of ecological processes, including animal movement, nutrient transfer, trophic dynamics and population distribution. Although habitat selection has been a focus of ecological studies for decades, technological, conceptual and methodological advances over the last 20 yr have led to a surge in studies addressing this process. Despite the substantial literature focused on quantifying the habitat-selection patterns of animals, there is a marked lack of guidance on best analytical practices. The conceptual foundations of the most commonly applied modeling frameworks can be confusing even to those well versed in their application. Furthermore, there has yet to be a synthesis of the advances made over the last 20 yr. Therefore, there is a need for both synthesis of the current state of knowledge on habitat selection, and guidance for those seeking to study this process. Here, we provide an approachable overview and synthesis of the literature on habitat-selection analyses (HSAs) conducted using selection functions, which are by far the most applied modeling framework for understanding the habitat-selection process. This review is purposefully non-technical and focused on understanding without heavy mathematical and statistical notation, which can confuse many practitioners. We offer an overview and history of HSAs, describing the tortuous conceptual path to our current understanding. Through this overview, we also aim to address the areas of greatest confusion in the literature. We synthesize the literature outlining the most exciting conceptual advances in the field of habitat-selection modeling, discussing the substantial ecological and evolutionary inference that can be made using contemporary techniques. We aim for this paper to provide clarity for those navigating the complex literature on HSAs while acting as a reference and best practices guide for practitioners.
生境选择是一种基本的动物行为,它塑造了广泛的生态过程,包括动物运动、养分转移、营养动态和种群分布。尽管生境选择是生态研究几十年来的重点,但在过去 20 年中,技术、概念和方法上的进步使得研究这一过程的研究激增。尽管有大量的文献集中于量化动物的生境选择模式,但在最佳分析实践方面却明显缺乏指导。即使是那些精通其应用的人,最常用的建模框架的概念基础也可能令人困惑。此外,过去 20 年来的进展尚未得到综合。因此,不仅需要综合目前关于生境选择的知识状况,还需要为那些寻求研究这一过程的人提供指导。在这里,我们提供了一个易于理解的概述和综合文献,对使用选择函数进行的生境选择分析(HSAs)进行了综述,这是迄今为止理解生境选择过程最常用的建模框架。本综述是有针对性的非技术性的,重点是在没有大量数学和统计学符号的情况下理解,这可能会使许多从业者感到困惑。我们提供了 HSAs 的概述和历史,描述了我们目前理解的曲折的概念路径。通过这个概述,我们还旨在解决文献中最令人困惑的领域。我们综合了文献,概述了生境选择建模领域最令人兴奋的概念进展,讨论了使用当代技术可以进行的大量生态和进化推断。我们希望本文能为那些在复杂的 HSAs 文献中航行的人提供清晰的思路,同时也为从业者提供参考和最佳实践指南。