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dc.contributor.authorPennino, M. Grazia
dc.contributor.authorBellido, José María
dc.contributor.authorConesa, David
dc.contributor.authorColl, Marta
dc.contributor.authorTortosa-Ausina, Emili
dc.date.accessioned2017-06-13T11:30:00Z
dc.date.available2017-06-13T11:30:00Z
dc.date.issued2017-07
dc.identifier.citationPENNINO. M. Grazia; BELLIDO, José María; CONESA, David; COLL, Marta; TORTOSA AUSINA, Emili. The analysis of convergence in ecological indicators: An application to the Mediterranean fisheries. Ecological indicators (2017), v. 78, pp. 449-457ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/167973
dc.description.abstractEcological indicators are increasingly used to examine the evolution of natural ecosystems and the impacts of human activities. Assessing their trends to develop comparative analyses is essential. We introduce the analysis of convergence, a novel approach to evaluate the dynamic and trends of ecological indicators and predict their behavior in the long-term. Specifically, we use a non-parametric estimation of Gaussian kernel density functions and transition probability matrix integrated in the R software. We validate the performance of our methodology through a practical application to three different ecological indicators to study whether Mediterranean countries converge towards similar fisheries practices. We focus on how distributions evolve over time for the Marine Trophic Index, the Fishing in Balance Index and the Expansion Factor during 1950–2010. Results show that Mediterranean countries persist in their fishery behaviors throughout the time series, although a tendency towards similar negative effects on the ecosystem is apparent in the long-term. This methodology can be easily reproduced with different indicators and/or ecosystems in order to analyze ecosystem dynamics.ca_CA
dc.description.sponsorShipDavid Conesa thanks the Ministerio de Educación y Ciencia (the Spanish Ministry of Education and Science) via research grants MTM2010-19528, MTM2013-42323 (jointly financed with the European Regional Development Fund). Marta Coll was partially funded by the European Commission through the Marie Curie Career Integration Grant Fellowships − PCIG10-GA-2011-303534 − to the BIOWEB project. Authors do not have any conflict of interest to declare.ca_CA
dc.format.extent9 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfEcological indicators (2017), v. 78ca_CA
dc.subjectConvergence analysisca_CA
dc.subjectNon-parametric density estimationca_CA
dc.subjectTransition probability matrix;ca_CA
dc.subjectEcological indicatorsca_CA
dc.subjectEcosystem approach to fisheries managementca_CA
dc.subjectMediterranean seaca_CA
dc.titleThe analysis of convergence in ecological indicators: An application to the Mediterranean fisheriesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.ecolind.2017.03.041
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S1470160X17301590ca_CA


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