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Findkelp, a GIS-based community participation project to assess portuguese kelp conservation status

dc.contributor.authorAssis, J.
dc.contributor.authorTavares, D.
dc.contributor.authorTavares, J.
dc.contributor.authorCunha, A. H.
dc.contributor.authorAlberto, F.
dc.contributor.authorSerrão, Ester
dc.date.accessioned2014-05-29T11:48:09Z
dc.date.available2014-05-29T11:48:09Z
dc.date.issued2009
dc.date.updated2014-05-21T13:21:15Z
dc.description.abstractIn almost any Atlantic coastal area of Europe where there is a suitable substratum and adequate water quality, one or more species of kelp may be found. Their high productivity and complex biological structure make kelps especially important members of their communities, particularly when present in dense stands known as “kelp forests”. Currently, these species are subject to important novel constraints of physical and anthropogenic origins that can strongly modify their sustainability, their distribution and the biodiversity of associated species. Along the Portuguese coastline there is a perception by the local and scientific communities that some kelp species abundance is declining, particularly at the southern coast. Nevertheless, no large-scale spatial study of kelp abundance and diversity has been done. With the acronym Findkelp, this study aimed to assess from May to August 2008, the Portuguese kelp conservation status through community participation, field-based observations and large-scale Geographic Information System (GIS) technology. A communication strategy towards scuba divers and other coastal zone users was made to build and educate a team of informed volunteers that worked as independent observers, reporting georeferenced data in an electronic data-base available on the project’s website. At randomly underwater chosen locations (n=56) from the volunteers reported sites (n=388), structural descriptors of kelp populations were groundtruthed, by means of non-destructive sampling techniques (3x50m belt-transects). By crossing the volunteer’s reported data with the groundtruthed data, using error matrices and Kappa statistics with concordance agreement scales, a Portuguese coast line GIS map with perfect agreement (K=0.827) was made including the current distribution, diversity and conservation status of 6 kelp species.por
dc.identifier.citationAssis, J.F.; Tavares, D.; Tavares, J.; Cunha, A.H.; Alberto, F.; Serrão, E.A. Findkelp, a GIS-based community participation project to assess portuguese kelp conservation status, Journal of Coastal Research, SPEC. ISS, 1469-14, 2009.por
dc.identifier.issn0749-0208
dc.identifier.otherAUT: ESE00527;
dc.identifier.urihttp://hdl.handle.net/10400.1/4119
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherCoastal Education and Research Foundationpor
dc.subjectCommunity participationpor
dc.subjectGISpor
dc.subjectLaminariapor
dc.subjectMarine conservationpor
dc.subjectKelppor
dc.titleFindkelp, a GIS-based community participation project to assess portuguese kelp conservation statuspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1473por
oaire.citation.startPage1469por
oaire.citation.titleJournal of Coastal Researchpor
oaire.citation.volumeSI 56por
person.familyNameAssis
person.familyNameAlberto
person.familyNameSerrao
person.givenNameJorge
person.givenNameFilipe
person.givenNameEster A.
person.identifier1488456
person.identifierC-6686-2012
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.ciencia-idBD15-2AC7-8AA3
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.orcid0000-0002-6624-4820
person.identifier.orcid0000-0003-0593-3240
person.identifier.orcid0000-0003-1316-658X
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id53463298700
person.identifier.scopus-author-id6701653422
person.identifier.scopus-author-id7004093604
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationc794f76b-9001-4ac1-913a-bb0f3aab6ef5
relation.isAuthorOfPublication4e95893d-e3c7-462f-a897-49bb8999b65b
relation.isAuthorOfPublication45ccfe90-155c-4d6f-9e86-8f0fd064005f
relation.isAuthorOfPublication.latestForDiscovery4e95893d-e3c7-462f-a897-49bb8999b65b

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