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一种动物扩散的机制性方法——量化能量学和最大距离

A Mechanistic Approach to Animal Dispersal-Quantifying Energetics and Maximum Distances.

作者信息

Wilkinson Caitlin, Brose Ulrich, Dyer Alexander, Hirt Myriam R, Ryser Remo

机构信息

German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.

Institute of Biodiversity, Friedrich-Schiller-University Jena, Jena, Germany.

出版信息

Ecol Lett. 2025 Feb;28(2):e70085. doi: 10.1111/ele.70085.

Abstract

Dispersal is a fundamental process driving many ecological patterns. During transfer, species often make large-scale displacements resulting in significant energy losses with implications for fitness and survival, however generalising these losses across different taxonomic groups is challenging. We developed a bioenergetic dispersal model based on fundamental processes derived from species traits. By balancing energy storage and energy loss during active dispersal, our mechanistic model can quantify energy expenditures depending on landscape configuration and the species in focus. Moreover, it can be used to predict the maximum dispersal capacity of animals, which we compare with recorded maximum dispersal distances (n = 1571). Due to its foundation in bioenergetics it can easily be integrated into various ecological models, such as food-web and meta-community models. Furthermore, as dispersal is integral to ecological research, the quantification of dispersal capacities provides valuable insight into landscape connectivity, species persistence, and distribution patterns with implications for conservation research.

摘要

扩散是驱动许多生态格局的一个基本过程。在迁移过程中,物种常常会进行大规模移动,从而导致显著的能量损失,这对适合度和生存产生影响,然而,将这些损失推广到不同分类群具有挑战性。我们基于从物种特征推导出来的基本过程,开发了一个生物能量扩散模型。通过在主动扩散过程中平衡能量储存和能量损失,我们的机理模型可以根据景观配置和所关注的物种来量化能量消耗。此外,它可用于预测动物的最大扩散能力,我们将其与记录的最大扩散距离(n = 1571)进行比较。由于其基于生物能量学的基础,它可以很容易地整合到各种生态模型中,如食物网和元群落模型。此外,由于扩散是生态研究不可或缺的一部分,扩散能力的量化为景观连通性、物种持久性和分布格局提供了有价值的见解,对保护研究具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bfd/11840884/54b813611566/ELE-28-0-g003.jpg

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