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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/34872

Title: Ranking species in mutualistic networks
Authors: Domínguez-García, Virginia
Muñoz Martínez, Miguel Ángel
Issue Date: 2015
Abstract: Understanding the architectural subtleties of ecological networks, believed to confer them enhanced stability and robustness, is a subject of outmost relevance. Mutualistic interactions have been profusely studied and their corresponding bipartite networks, such as plant-pollinator networks, have been reported to exhibit a characteristic “nested” structure. Assessing the importance of any given species in mutualistic networks is a key task when evaluating extinction risks and possible cascade effects. Inspired in a recently introduced algorithm –similar in spirit to Google's PageRank but with a built-in non-linearity– here we propose a method which –by exploiting their nested architecture– allows us to derive a sound ranking of species importance in mutualistic networks. This method clearly outperforms other existing ranking schemes and can become very useful for ecosystem management and biodiversity preservation, where decisions on what aspects of ecosystems to explicitly protect need to be made.
Publisher: Nature Publishing Group
Keywords: Theoretical ecology
Ecological networks
URI: http://hdl.handle.net/10481/34872
ISSN: 2045-2322
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Citation: Domínguez-García, V.; Muñoz, M.A. Ranking species in mutualistic networks. Scientific Reports, 5: 8182 (2014). [http://hdl.handle.net/10481/34872]
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