Multiple habitat graphs: how connectivity brings forth landscape ecological processes

IF 4 2区 环境科学与生态学 Q1 ECOLOGY
Paul Savary, Céline Clauzel, Jean-Christophe Foltête, Gilles Vuidel, Xavier Girardet, Marc Bourgeois, François-Marie Martin, Lise Ropars, Stéphane Garnier
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引用次数: 0

Abstract

Purpose

Habitat connectivity is integral to current biodiversity science and conservation strategies. Originally, the connectivity concept stressed the role of individual movements for landscape-scale processes. Connectivity determines whether populations can survive in sub-optimal patches (i.e., source-sink effects), complete life cycles relying on different habitat types (i.e., landscape complementation), and benefit from supplementary resources distributed over the landscape (i.e., landscape supplementation). Although the past decades have witnessed major improvements in habitat connectivity modeling, most approaches have yet to consider the multiplicity of habitat types that a species can benefit from. Without doing so, connectivity analyses potentially fail to meet one of their fundamental purposes: revealing how complex individual movements lead to landscape-scale ecological processes.

Methods

To bridge this conceptual and methodological gap, we propose to include multiple habitat types in spatial graph models of habitat connectivity, where nodes traditionally represent a single habitat type. Multiple habitat graphs will improve how we model connectivity and related landscape ecological processes, and how they are impacted by land cover changes.

Results

In three case studies, we use these graphs to model (i) source-sink effects, (ii) landscape supplementation, and (iii) complementation processes, in urban ecosystems, agricultural landscapes, and amphibian habitat networks, respectively. A new version of the Graphab open-source software implements the proposed approach.

Conclusion

Multiple habitat graphs help address crucial conservation challenges (e.g., urban sprawl, biological control, climate change) by representing more accurately the dynamics of populations, communities, and their interactions. Our approach thereby extends the ecologist’s toolbox and aims at fostering the alignment between landscape ecology theory and practice.

Abstract Image

多重生境图:连通性如何带来景观生态过程
目的生境连通性是当前生物多样性科学和保护战略不可或缺的一部分。最初,连通性概念强调个体运动对景观尺度过程的作用。连通性决定了种群能否在次优斑块中生存(即源-汇效应),能否依靠不同的生境类型完成生命周期(即景观互补),以及能否从分布在景观中的补充资源中获益(即景观补充)。尽管在过去几十年中,栖息地连通性建模取得了重大进展,但大多数方法仍未考虑物种可受益的多种栖息地类型。为了弥补这一概念和方法上的差距,我们建议在生境连通性的空间图模型中包含多种生境类型,而传统的生境连通性图模型的节点只代表一种生境类型。结果在三个案例研究中,我们使用这些图分别对城市生态系统、农业景观和两栖动物栖息地网络中的(i)源-汇效应、(ii)景观补充和(iii)互补过程进行了建模。新版本的 Graphab 开源软件实现了所提出的方法。 结论多重栖息地图通过更准确地表示种群、群落及其相互作用的动态,有助于应对保护方面的关键挑战(如城市扩张、生物控制、气候变化)。因此,我们的方法扩展了生态学家的工具箱,旨在促进景观生态学理论与实践的结合。
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来源期刊
Landscape Ecology
Landscape Ecology 环境科学-地球科学综合
CiteScore
8.30
自引率
7.70%
发文量
164
审稿时长
8-16 weeks
期刊介绍: Landscape Ecology is the flagship journal of a well-established and rapidly developing interdisciplinary science that focuses explicitly on the ecological understanding of spatial heterogeneity. Landscape Ecology draws together expertise from both biophysical and socioeconomic sciences to explore basic and applied research questions concerning the ecology, conservation, management, design/planning, and sustainability of landscapes as coupled human-environment systems. Landscape ecology studies are characterized by spatially explicit methods in which spatial attributes and arrangements of landscape elements are directly analyzed and related to ecological processes.
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