Multiple habitat graphs: how connectivity brings forth landscape ecological processes

被引:2
作者
Savary, Paul [1 ]
Clauzel, Celine [2 ,3 ]
Foltete, Jean-Christophe [4 ]
Vuidel, Gilles [4 ]
Girardet, Xavier [4 ]
Bourgeois, Marc [5 ]
Martin, Francois-Marie [4 ,6 ]
Ropars, Lise [7 ]
Garnier, Stephane [6 ]
机构
[1] Concordia Univ, Dept Biol, Montreal, PQ, Canada
[2] Univ Paris 1 Pantheon Sorbonne, UMR LADYSS 7533, CNRS, Paris, France
[3] Inst Univ France, Paris, France
[4] Univ Franche Comte, CNRS, UMR 6049, TheMA, Besancon, France
[5] Univ Lyon 3 Jean Moulin, UMR Environm 5600 Ville Soc, CNRS, Lyon, France
[6] Univ Bourgogne, UMR Biogeosci 6282, CNRS, Dijon, France
[7] Sorbonne Univ, UMR CESCO 7204, CNRS, MNHN, Paris, France
关键词
Habitat connectivity; Spatial ecology; Landscape ecology; Urban planning; Conservation biology; Graph theory; Ecological modeling; FUNCTIONAL CONNECTIVITY; BIODIVERSITY; DISPERSAL; NETWORK; CITIES; HETEROGENEITY; POPULATIONS; SINKS; CONSEQUENCES; COMMUNITIES;
D O I
10.1007/s10980-024-01947-4
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
PurposeHabitat 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.MethodsTo 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.ResultsIn 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.ConclusionMultiple 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.
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页数:19
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