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如何使用(以及不使用)基于运动的指标来量化觅食行为。

How to use (and not to use) movement-based indices for quantifying foraging behaviour.

作者信息

Halperin Topaz, Kalyuzhny Michael, Hawlena Dror

机构信息

Department of Ecology, Evolution & Behavior Alexander Silberman Institute of Life Sciences The Hebrew University of Jerusalem Jerusalem Israel.

Herpetological Collection National Natural History Collections The Hebrew University of Jerusalem Jerusalem Israel.

出版信息

Methods Ecol Evol. 2018 Apr;9(4):1088-1096. doi: 10.1111/2041-210X.12943. Epub 2017 Dec 18.

Abstract

Movement-based indices such as moves per minute (MPM) and proportion time moving (PTM) are common methodologies to quantify foraging behaviour. We explore fundamental drawbacks of these indices that question the ways scientists have been using them and propose new solutions.To do so, we combined analytical and simulation models with lizards foraging data at the individual and species levels.We found that the maximal value of MPM is constrained by the minimal durations of moves and stops. As a result, foragers that rarely move and those that rarely stop are bounded to similar low MPM values. This implies that (1) MPM has very little meaning when used alone, (2) MPM and PTM are interdependent, and (3) certain areas in the MPM-PTM plane cannot be occupied. We also found that MPM suffers from inaccuracy and imprecision.We introduced a new bias correction formula for already published MPM data, and a novel index of changes per minute (CPM) that uses the frequency of changes between move and stop bouts. CPM is very similar to MPM, but does not suffer from bias. Finally, we suggested a new foraging plane of average move and average stop durations. We hope that our guidelines of how to use (and not to use) movement-based indices will add rigor to the study of animals' foraging behaviour.

摘要

基于运动的指标,如每分钟移动次数(MPM)和移动时间比例(PTM),是量化觅食行为的常用方法。我们探究了这些指标的根本缺陷,这些缺陷对科学家们使用它们的方式提出了质疑,并提出了新的解决方案。为此,我们将分析模型和模拟模型与蜥蜴在个体和物种层面的觅食数据相结合。我们发现,MPM的最大值受到移动和停止的最短持续时间的限制。因此,很少移动的觅食者和很少停止的觅食者的MPM值都很低。这意味着:(1)单独使用MPM时意义不大;(2)MPM和PTM相互依赖;(3)MPM-PTM平面中的某些区域无法被占据。我们还发现MPM存在不准确和不精确的问题。我们为已发表的MPM数据引入了一个新的偏差校正公式,以及一个新的每分钟变化指数(CPM),该指数使用移动和停止回合之间的变化频率。CPM与MPM非常相似,但不存在偏差。最后,我们提出了一个新的平均移动和平均停止持续时间的觅食平面。我们希望我们关于如何使用(以及不使用)基于运动的指标的指导方针,将为动物觅食行为的研究增添严谨性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4280/5993309/a79e372e6ea1/MEE3-9-1088-g001.jpg

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