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基于轨迹和潜水的运动指标无法预测海洋捕食者遇到的猎物数量。

Track and dive-based movement metrics do not predict the number of prey encountered by a marine predator.

作者信息

Allegue Hassen, Réale Denis, Picard Baptiste, Guinet Christophe

机构信息

Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, Canada.

Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS-La Rochelle Université, Villiers en Bois, France.

出版信息

Mov Ecol. 2023 Jan 21;11(1):3. doi: 10.1186/s40462-022-00361-2.

Abstract

BACKGROUND

Studying animal movement in the context of the optimal foraging theory has led to the development of simple movement metrics for inferring feeding activity. Yet, the predictive capacity of these metrics in natural environments has been given little attention, raising serious questions of the validity of these metrics. The aim of this study is to test whether simple continuous movement metrics predict feeding intensity in a marine predator, the southern elephant seal (SES; Mirounga leonine), and investigate potential factors influencing the predictive capacity of these metrics.

METHODS

We equipped 21 female SES from the Kerguelen Archipelago with loggers and recorded their movements during post-breeding foraging trips at sea. From accelerometry, we estimated the number of prey encounter events (nPEE) and used it as a reference for feeding intensity. We also extracted several track- and dive-based movement metrics and evaluated how well they explain and predict the variance in nPEE. We conducted our analysis at two temporal scales (dive and day), with two dive profile resolutions (high at 1 Hz and low with five dive segments), and two types of models (linear models and regression trees).

RESULTS

We found that none of the movement metrics predict nPEE with satisfactory power. The vertical transit rates (primarily the ascent rate) during dives had the best predictive performance among all metrics. Dive metrics performed better than track metrics and all metrics performed on average better at the scale of days than the scale of dives. However, the performance of the models at the scale of days showed higher variability among individuals suggesting distinct foraging tactics. Dive-based metrics performed better when computed from high-resolution dive profiles than low-resolution dive profiles. Finally, regression trees produced more accurate predictions than linear models.

CONCLUSIONS

Our study reveals that simple movement metrics do not predict feeding activity in free-ranging marine predators. This could emerge from differences between individuals, temporal scales, and the data resolution used, among many other factors. We conclude that these simple metrics should be avoided or carefully tested a priori with the studied species and the ecological context to account for significant influencing factors.

摘要

背景

在最优觅食理论的背景下研究动物运动,促使人们开发出用于推断觅食活动的简单运动指标。然而,这些指标在自然环境中的预测能力很少受到关注,这引发了对这些指标有效性的严重质疑。本研究的目的是测试简单的连续运动指标是否能预测海洋捕食者南象海豹(SES;Mirounga leonine)的觅食强度,并调查影响这些指标预测能力的潜在因素。

方法

我们为来自克尔格伦群岛的21只雌性南象海豹配备了记录器,并记录了它们在繁殖后海上觅食之旅中的运动情况。通过加速度测量,我们估计了猎物遭遇事件的数量(nPEE),并将其用作觅食强度的参考。我们还提取了几个基于轨迹和潜水的运动指标,并评估它们对nPEE方差的解释和预测能力。我们在两个时间尺度(潜水和白天)、两种潜水剖面分辨率(高分辨率为1赫兹,低分辨率为五个潜水段)以及两种模型类型(线性模型和回归树)下进行了分析。

结果

我们发现没有一个运动指标能以令人满意的能力预测nPEE。在所有指标中,潜水期间的垂直移动速度(主要是上升速度)具有最佳的预测性能。潜水指标的表现优于轨迹指标,并且所有指标在白天尺度上的平均表现优于潜水尺度。然而,在白天尺度上模型的性能在个体之间表现出更高的变异性,表明存在不同的觅食策略。从高分辨率潜水剖面计算的基于潜水的指标比低分辨率潜水剖面表现更好。最后,回归树产生的预测比线性模型更准确。

结论

我们的研究表明,简单的运动指标不能预测自由放养的海洋捕食者的觅食活动。这可能源于个体差异、时间尺度和所使用的数据分辨率等诸多因素。我们得出结论,应避免使用这些简单指标,或者事先在研究物种和生态背景下仔细测试,以考虑重要的影响因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1eb/9862577/2a488bb1704d/40462_2022_361_Fig1_HTML.jpg

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