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Multiple habitat graphs: how connectivity brings forth landscape ecological processes.

Authors :
Savary, Paul
Clauzel, Céline
Foltête, Jean-Christophe
Vuidel, Gilles
Girardet, Xavier
Bourgeois, Marc
Martin, François-Marie
Ropars, Lise
Garnier, Stéphane
Source :
Landscape Ecology; Sep2024, Vol. 39 Issue 9, p1-19, 19p
Publication Year :
2024

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 FROM AUTHOR]

Details

Language :
English
ISSN :
09212973
Volume :
39
Issue :
9
Database :
Complementary Index
Journal :
Landscape Ecology
Publication Type :
Academic Journal
Accession number :
179305637
Full Text :
https://doi.org/10.1007/s10980-024-01947-4