Picardi Simona, Abrahms Briana, Gelzer Emily, Morrison Thomas A, Verzuh Tana, Merkle Jerod A
Department of Wildland Resources, Jack H. Berryman Institute, Utah State University, Logan, Utah, USA.
Center for Ecosystem Sentinels, Department of Biology, University of Washington, Seattle, Washington, USA.
Ecol Lett. 2023 Jan;26(1):157-169. doi: 10.1111/ele.14148. Epub 2022 Dec 1.
Site fidelity-the tendency to return to previously visited locations-is widespread across taxa. Returns may be driven by several mechanisms, including memory, habitat selection, or chance; however, pattern-based definitions group different generating mechanisms under the same label of 'site fidelity', often assuming memory as the main driver. We propose an operational definition of site fidelity as patterns of return that deviate from a null expectation derived from a memory-free movement model. First, using agent-based simulations, we show that without memory, intrinsic movement characteristics and extrinsic landscape characteristics are key determinants of return patterns and that even random movements may generate substantial probabilities of return. Second, we illustrate how to implement our framework empirically to establish ecologically meaningful, system-specific null expectations for site fidelity. Our approach provides a conceptual and operational framework to test hypotheses on site fidelity across systems and scales.
地点忠诚度——返回先前访问地点的倾向——在各个分类群中普遍存在。返回可能由多种机制驱动,包括记忆、栖息地选择或偶然性;然而,基于模式的定义将不同的产生机制归为“地点忠诚度”这一相同标签下,通常假定记忆是主要驱动因素。我们提出了一个地点忠诚度的操作性定义,即返回模式偏离了源自无记忆移动模型的零期望。首先,通过基于主体的模拟,我们表明在没有记忆的情况下,内在移动特征和外在景观特征是返回模式的关键决定因素,甚至随机移动也可能产生相当大的返回概率。其次,我们说明了如何通过实证来实施我们的框架,以建立具有生态意义的、针对特定系统的地点忠诚度零期望。我们的方法提供了一个概念性和操作性框架,用于在不同系统和尺度上检验关于地点忠诚度的假设。