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动态景观中的感知范围、信息收集与觅食成功率

Perceptual Ranges, Information Gathering, and Foraging Success in Dynamic Landscapes.

作者信息

Fagan William F, Gurarie Eliezer, Bewick Sharon, Howard Allison, Cantrell Robert Stephen, Cosner Chris

出版信息

Am Nat. 2017 May;189(5):474-489. doi: 10.1086/691099. Epub 2017 Mar 2.

DOI:10.1086/691099
PMID:28410028
Abstract

How organisms gather and utilize information about their landscapes is central to understanding land-use patterns and population distributions. When such information originates beyond an individual's immediate vicinity, movement decisions require integrating information out to some perceptual range. Such nonlocal information, whether obtained visually, acoustically, or via chemosensation, provides a field of stimuli that guides movement. Classically, however, models have assumed movement based on purely local information (e.g., chemotaxis, step-selection functions). Here we explore how foragers can exploit nonlocal information to improve their success in dynamic landscapes. Using a continuous time/continuous space model in which we vary both random (diffusive) movement and resource-following (advective) movement, we characterize the optimal perceptual ranges for foragers in dynamic landscapes. Nonlocal information can be highly beneficial, increasing the spatiotemporal concentration of foragers on their resources up to twofold compared with movement based on purely local information. However, nonlocal information is most useful when foragers possess both high advective movement (allowing them to react to transient resources) and low diffusive movement (preventing them from drifting away from resource peaks). Nonlocal information is particularly beneficial in landscapes with sharp (rather than gradual) patch edges and in landscapes with highly transient resources.

摘要

生物体如何收集和利用有关其生存环境的信息,对于理解土地利用模式和种群分布至关重要。当此类信息源自个体紧邻区域之外时,移动决策需要整合一定感知范围内的信息。这种非局部信息,无论是通过视觉、听觉还是化学感知获得,都提供了一个引导移动的刺激场。然而,传统上,模型假设移动是基于纯粹的局部信息(例如,趋化性、步长选择函数)。在这里,我们探讨觅食者如何利用非局部信息来提高其在动态环境中的成功率。使用一个连续时间/连续空间模型,我们在其中改变随机(扩散)移动和资源跟随(平流)移动,我们刻画了动态环境中觅食者的最优感知范围。与基于纯粹局部信息的移动相比,非局部信息可能非常有益,可使觅食者在其资源上的时空集中度提高两倍。然而,当觅食者同时具有高平流移动(使其能够对短暂资源做出反应)和低扩散移动(防止其偏离资源峰值)时,非局部信息最为有用。非局部信息在具有陡峭(而非逐渐变化)斑块边缘的环境以及具有高度短暂资源的环境中特别有益。

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