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dc.contributor.authorFajardo, Javier
dc.contributor.authorLessmann, Janeth
dc.contributor.authorBonaccorso, Elisa
dc.contributor.authorDevenish, Christian
dc.contributor.authorMunoz, Jesus
dc.date.accessioned2015-01-22T21:52:49Z
dc.date.available2015-01-22T21:52:49Z
dc.date.issued2014-12-05
dc.identifier.citationFajardo J, Lessmann J, Bonaccorso E, Devenish C, Muñoz J (2014) Combined Use of Systematic Conservation Planning, Species Distribution Modelling, and Connectivity Analysis Reveals Severe Conservation Gaps in a Megadiverse Country (Peru). PLoS ONE 9(12): e114367. http://dx.doi.org/10.1371/journal.pone.0114367en_US
dc.identifier.urihttp://hdl.handle.net/1808/16353
dc.description.abstractConservation planning is crucial for megadiverse countries where biodiversity is coupled with incomplete reserve systems and limited resources to invest in conservation. Using Peru as an example of a megadiverse country, we asked whether the national system of protected areas satisfies biodiversity conservation needs. Further, to complement the existing reserve system, we identified and prioritized potential conservation areas using a combination of species distribution modeling, conservation planning and connectivity analysis. Based on a set of 2,869 species, including mammals, birds, amphibians, reptiles, butterflies, and plants, we used species distribution models to represent species' geographic ranges to reduce the effect of biased sampling and partial knowledge about species' distributions. A site-selection algorithm then searched for efficient and complementary proposals, based on the above distributions, for a more representative system of protection. Finally, we incorporated connectivity among areas in an innovative post-hoc analysis to prioritize those areas maximizing connectivity within the system. Our results highlight severe conservation gaps in the Coastal and Andean regions, and we propose several areas, which are not currently covered by the existing network of protected areas. Our approach helps to find areas that contribute to creating a more representative, connected and efficient network.en_US
dc.description.sponsorshipCRUE-CEPYME grants with the cooperation of ATECMA funded JF to perform this study. JM is currently supported by grant CGL2012-38624-C02-02 of the Ministry of Economy and Competitiveness of Spain. The involvement of JL and EB was supported by Universidad Tecnológica Indoamérica. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.publisherPublic Library of Scienceen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectConservation Scienceen_US
dc.subjectBiodiversityen_US
dc.subjectPeruen_US
dc.subjectBirdsen_US
dc.subjectEndangered Speciesen_US
dc.subjectReptilesen_US
dc.subjectMammalsen_US
dc.subjectAmphibiansen_US
dc.titleCombined Use of Systematic Conservation Planning, Species Distribution Modelling, and Connectivity Analysis Reveals Severe Conservation gaps in a Megadiverse Country (Peru)en_US
dc.typeArticle
kusw.kuauthorBonaccorso, Elisa
kusw.kudepartmentBiodiversity Instituteen_US
dc.identifier.doi10.1371/journal.pone.0114367
dc.identifier.orcidhttps://orcid.org/0000-0002-7262-9356
dcterms.rights© 2014 Fajardo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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