USING NETWORK CENTRALITY MEASURES TO MANAGE LANDSCAPE CONNECTIVITY

Ecological Applications - Tập 18 Số 7 - Trang 1810-1825 - 2008
Ernesto Estrada1, Örjan Bodin2,3
1Complex Systems Research Group, RIAIDT, Edificio CACTUS, University of Santiago de Compostela, Santiago de Compostela 15782 Spain
2Department of Government, Uppsala University, 751 05 Uppsala, Sweden
3Stockholm Resilience Centre, Stockholm University, 106 91 Stockholm, Sweden

Tóm tắt

We use a graph‐theoretical landscape modeling approach to investigate how to identify central patches in the landscape as well as how these central patches influence (1) organism movement within the local neighborhood and (2) the dispersal of organisms beyond the local neighborhood. Organism movements were theoretically estimated based on the spatial configuration of the habitat patches in the studied landscape. We find that centrality depends on the way the graph‐theoretical model of habitat patches is constructed, although even the simplest network representation, not taking strength and directionality of potential organisms flows into account, still provides a coarse‐grained assessment of the most important patches according to their contribution to landscape connectivity. Moreover, we identify (at least) two general classes of centrality. One accounts for the local flow of organisms in the neighborhood of a patch, and the other accounts for the ability to maintain connectivity beyond the scale of the local neighborhood. Finally, we study how habitat patches with high scores on different network centrality measures are distributed in a fragmented agricultural landscape in Madagascar. Results show that patches with high degree and betweenness centrality are widely spread, while patches with high subgraph and closeness centrality are clumped together in dense clusters. This finding may enable multispecies analyses of single‐species network models.

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Ecological Applications

Tập 18 Số 7

1810-1825

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