Abstract
Connectivity determines a large number of ecological functions of the landscape, including seed and animal dispersal, gene flow and disturbance propagation, and is therefore a key to understanding fluxes of matter and energy within land mosaics. Several approaches to quantifying landscape connectivity are possible. Among these, graph theory may be used to represent a landscape as a series of interconnected patches, where flows occur as a result of structural and/or functional patch connectivity. Within this context, we propose the use of a graph-theoretic index (i.e., the Harary index) as a measure of landscape connectivity. Results derived from the analysis of the vegetation map of Palmarola (central Italy) show that, from a statistical and ecological viewpoint, the Harary index may be a better measure of landscape connectivity than more traditional indices derived from transportation geography.
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Abbreviations
- TI:
-
topological index
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Ricotta, C., Stanisci, A., Avena, G.C. et al. Quantifying the network connectivity of landscape mosaics: a graph-theoretical approach. COMMUNITY ECOLOGY 1, 89–94 (2000). https://doi.org/10.1556/ComEc.1.2000.1.12
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DOI: https://doi.org/10.1556/ComEc.1.2000.1.12