Monitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogates

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Físicagl
dc.contributor.authorRegos Sanz, Adrián
dc.contributor.authorTapia del Río, Luis Enrique
dc.contributor.authorGil-Carrera, Alberto
dc.contributor.authorDomínguez Conde, Jesús
dc.date.accessioned2018-06-11T07:28:25Z
dc.date.available2018-06-11T07:28:25Z
dc.date.issued2017-07-24
dc.description.abstractMonitoring protected areas (PAs) is essential for systematic evaluation of their effectiveness in terms of habitat protection, preservation and representativeness. This study illustrates how the use of species distribution models that combine remote sensing data and information about biodiversity surrogates can contribute to develop a systematic protocol for monitoring PAs. In particular, we assessed the effectiveness of the Natura 2000 (N2000) network, for conserving and preserving the representativeness of seven raptor species in a highly-dynamic landscape in northwest Spain between 2001 and 2014. We also evaluated the cost-effectiveness of the N2000 network by using the total area under protection as a proxy for conservation costs. Overall, the N2000 network was found to poorly represent the habitats of the raptor species. Despite the low representativeness, this network showed a high degree of effectiveness due to increased overall habitat availability for generalist and forest specialist species between 2001 and 2014. Nevertheless, additional protected areas should be established in the near future to increase their representativeness, and thus ensure the protection of open-habitat specialist species and their priority habitats. In addition, proactive conservation measures in natural and semi-natural ecosystems (in particular, montane heathlands) will be essential for long-term protection of Montagu’s harrier (species listed in the Annex I of the Bird Directive), and thus complying with the current European Environmental Legislation. This study sheds light on how the development and application of new protected area indices based on the combined use of freely-available satellite data and species distribution models may contribute substantially to the cost-efficiency of the PA monitoring systems, and to the ‘Fitness Check’ process of EU Nature Directivesgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis work was partly funded by the EU BON (308454; FP7-ENV-2012, European Commission), FORESTCAST (CGL2014-59742) and NEWFORESTS (EU Seventh Framework Programme, PIRSES-GA-2013-612645) projects. A.R. was funded by the Xunta de Galicia (post-doctoral fellowship ED481B2016/084-0). Fieldwork was partially supported by the Department of Environment of Galician Government through the PGIDTO1MAM20001PR (Xunta de Galicia) projectgl
dc.identifier.citationRegos A, Tapia L, Gil-Carrera A, Domínguez J (2017) Monitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogates. PLoS ONE 12(7): e0181769. https://doi.org/10.1371/journal.pone.0181769gl
dc.identifier.doi10.1371/journal.pone.0181769
dc.identifier.essn1932-6203
dc.identifier.urihttp://hdl.handle.net/10347/16778
dc.language.isoenggl
dc.publisherPublic Library of Sciencegl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/612645
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/308454
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pone.0181769gl
dc.rights© 2017 Regos 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 creditedgl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleMonitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogatesgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication72e4865b-9ee5-4d2e-b7eb-c939c083e9bf
relation.isAuthorOfPublication4073ef39-2866-4094-8a2d-bc80648ff71d
relation.isAuthorOfPublication.latestForDiscovery72e4865b-9ee5-4d2e-b7eb-c939c083e9bf

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