Movement‐based indices such as mov'/> How to use (and not to use) movement‐based indices for quantifying foraging behaviour
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How to use (and not to use) movement‐based indices for quantifying foraging behaviour

机译:如何使用(而不使用)基于运动的索引来量化觅食行为

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class="enumerated" style="list-style-type:decimal" id="mee312943-list-0001">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.
机译:class =“ enumerated” style =“ list-style-type:decimal” id =“ mee312943-list-0001”> <!-list-behavior =列举的prefix-word = mark-type = decimal max-label- size = 0-> 基于运动的索引,例如每分钟移动(MPM)和比例时间移动(PTM),是量化觅食行为的常见方法。我们探索了这些指数的基本缺陷,这些缺陷质疑科学家们一直在使用它们的方式并提出了新的解决方案。 为此,我们将分析和模拟模型与蜥蜴在个体和物种水平上的觅食数据相结合。 / li> 我们发现,MPM的最大值受到移动和停止的最小持续时间的限制。结果,很少移动的觅食者和很少停止的觅食者都将具有相似的低MPM值。这意味着(1)当单独使用MPM时,意义不大;(2)MPM和PTM是相互依赖的;(3)MPM-PTM平面中的某些区域无法被占用。我们还发现MPM存在不准确和不精确的问题。 我们为已发布的MPM数据引入了新的偏差校正公式,并使用了两次移动之间的变化频率来创建每分钟变化的新索引(CPM)。并停止搏击。 CPM与MPM非常相似,但不存在偏差。最后,我们提出了一种新的平均移动和平均停留时间的觅食平面。我们希望我们关于如何使用(而非使用)基于运动的索引的准则将使对动物觅食行为的研究更加严格。

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