Abstract
Graph-theoretic approaches are increasingly popular in the representation and analysis of ecological networks, acting as a complement to traditional techniques, particularly to perform connectivity analysis. Local network indices are useful to identify portions of an ecological network that are worth inspecting, such as bottlenecks. However, the simple identification of cut nodes may turn out to be insufficient. By providing criteria to rank identified cut nodes, land managers are able to assess priorities for further local analysis.
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Acknowledgement
This essay is written within the Research Program “Natura 2000: Assessment of management plans and definition of ecological corridors as a complex network”, funded by the Autonomous Region of Sardinia (Legge Regionale 7/2007) for the period 2015–2018, under the provisions of the Call for the presentation of “Projects related to fundamental or basic research” in year 2013, implemented at the Department of Mathematics and Computer Science of the University of Cagliari, Italy.
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Fenu, G., Pau, P.L. (2018). Identification of Critical Habitat Corridor Patches by Cut Node Ranking. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds) Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-72150-7_50
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DOI: https://doi.org/10.1007/978-3-319-72150-7_50
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