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异质扩散网络以改善生物多样性科学。

Heterogeneous dispersal networks to improve biodiversity science.

机构信息

Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.

Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.

出版信息

Trends Ecol Evol. 2024 Mar;39(3):229-238. doi: 10.1016/j.tree.2023.10.002. Epub 2023 Oct 25.

DOI:10.1016/j.tree.2023.10.002
PMID:37891075
Abstract

Dispersal has a key role in shaping spatial patterns of biodiversity, yet its spatial heterogeneity is often overlooked in biodiversity analyses and management strategies. Properly parameterised heterogeneous dispersal networks capture the complex interplay between landscape structure and species-specific dispersal capacities. However, this heterogeneity is recurrently neglected when studying the processes underlying biodiversity variation. To address this gap, we introduce a conceptual framework detailing the fundamental processes driving dispersal heterogeneity and its effects on biodiversity dynamics. We propose methods to parameterise heterogeneous dispersal networks, facilitating their integration into commonly used quantitative frameworks for biodiversity analyses. By considering the architecture of heterogeneous dispersal networks, we demonstrate their critical role in guiding biodiversity management strategies.

摘要

扩散在塑造生物多样性的空间格局方面起着关键作用,但在生物多样性分析和管理策略中,其空间异质性往往被忽视。适当参数化的异质扩散网络可以捕捉景观结构和物种特定扩散能力之间的复杂相互作用。然而,在研究生物多样性变化背后的过程时,这种异质性经常被忽视。为了解决这一差距,我们引入了一个概念框架,详细说明了驱动扩散异质性的基本过程及其对生物多样性动态的影响。我们提出了参数化异质扩散网络的方法,促进了它们在生物多样性分析常用的定量框架中的整合。通过考虑异质扩散网络的结构,我们展示了它们在指导生物多样性管理策略方面的关键作用。

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