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dc.contributor.authorRegos Sanz, Adrián
dc.contributor.authorDomínguez Conde, Jesús
dc.date.accessioned2019-10-28T10:01:17Z
dc.date.available2019-10-28T10:01:17Z
dc.date.issued2018-03
dc.identifier.citationRegos and Domínguez (2018), The contribution of Earth observation technologies to the reporting obligations of the Habitats Directive and Natura 2000 network in a protected wetland. PeerJ 6:e4540; DOI 10.7717/peerj.4540
dc.identifier.issn2167-8359
dc.identifier.urihttp://hdl.handle.net/10347/20029
dc.description.abstractBackground. Wetlands are highly productive systems that supply a host of ecosystem services and benefits. Nonetheless, wetlands have been drained and filled to provide sites for building houses and roads and for establishing farmland, with an estimated worldwide loss of 64 71% of wetland systems since 1900. In Europe, the Natura 2000 network is the cornerstone of current conservation strategies. Every six years, Member States must report on implementation of the European Habitats Directive. The present study aims to illustrate how Earth observation (EO) technologies can contribute to the reporting obligations of the Habitats Directive and Natura 2000 network in relation to wetland ecosystems. Methods. We analysed the habitat changes that occurred in a protected wetland (in NW Spain), 13 years after its designation as Natura 2000 site (i.e., between 2003 and 2016). For this purpose, we analysed optical multispectral bands and water-related and vegetation indices derived from data acquired by Landsat 7 TM, ETMC and Landsat 8 OLI sensors. To quantify the uncertainty arising from the algorithm used in the classification procedure and its impact on the change analysis, we compared the habitat change estimates obtained using 10 different classification algorithms and two ensemble classification approaches (majority and weighted vote). Results. The habitat maps derived from the ensemble approaches showed an overall accuracy of 94% for the 2003 data (Kappa index of 0.93) and of 95% for the 2016 data (Kappa index of 0.94). The change analysis revealed important temporal dynamics between 2003 and 2016 for the habitat classes identified in the study area. However, these changes depended on the classification algorithm used. The habitat maps obtained from the two ensemble classification approaches showed a reduction in habitat classes dominated by salt marshes and meadows (24.6 26.5%), natural and semi-natural grasslands (25.9 26.5%) or sand dunes (20.7 20.9%) and an increase in forest (31 34%) and reed bed (60.7 67.2%) in the study area. Discussion. This study illustrates how EO based approaches might be particularly useful to help (1) managers to reach decisions in relation to conservation, (2) Member States to comply with the requirements of the European Habitats Directive (92/43/EEC), and (3) the European Commission to monitor the conservation status of the natural habitat types of community interest listed in Annex I of the Directive
dc.description.sponsorshipAdrián Regos was funded by the Xunta de Galicia (post-doctoral fellowship ED481B2016/084-0). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Xunta de Galicia: ED481B2016/084-0
dc.language.isoeng
dc.publisherPeerJ Inc.
dc.rights© 2018 Regos and Domínguez. Distributed under Creative Commons CC-BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectEnvironmental monitoring
dc.subjectHabitat mapping
dc.subjectWetland conservation
dc.subjectRemote sensing
dc.subjectSupervised classification
dc.subjectLandsat satellite imagery
dc.subjectWater-related indices
dc.subjectConservation European directives
dc.subjectEnsemble classification approach
dc.subjectProtected areas
dc.titleThe contribution of Earth observation technologies to the reporting obligations of the Habitats Directive and Natura 2000 network in a protected wetland
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.7717/peerj.4540
dc.relation.publisherversionhttps://doi.org/10.7717/peerj.4540
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Física
dc.description.peerreviewedSI


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© 2018 Regos and Domínguez. Distributed under Creative Commons CC-BY 4.0
Except where otherwise noted, this item's license is described as  © 2018 Regos and Domínguez. Distributed under Creative Commons CC-BY 4.0





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