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Estimation of available seagrass meadow area in Portugal for transplanting purposes

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dc.contributor.authorCunha, A. H.
dc.contributor.authorAssis, J.
dc.contributor.authorSerrão, Ester
dc.date.accessioned2014-05-30T15:15:58Z
dc.date.available2014-05-30T15:15:58Z
dc.date.issued2009
dc.date.updated2014-05-21T13:20:45Z
dc.description.abstractSeagrasses are marine flowering plants found in shallow coastal habitats around the world. These plants create a habitat of substantial importance from an ecological, economic and biodiversity point of view. Unfortunately, there have been considerable losses of seagrass habitat worldwide, leading to increasing interest on the development of seagrass restoration and rehabilitation projects. These projects, often developed as a mitigation tool, deeply benefit from the spatially explicit information included in Geographic Information Systems (GIS). Thus, to have seagrass area estimates for transplanting purposes and, to be able to monitor transplanting impacts, a large-scale GIS map was build for Sado and Mira River Estuaries, Portinho da Arrábida Bay and Ria Formosa regions using: (1) aerial photography analysis, (2) photo-interpretation, (3) on-site groundtruthing surveys and (4) statistical analysis. Habitat boundaries were evaluated through aerial photography, and a complete set of selected sites were visited for groundtruth validation, using 4 types of transect methods (along the shore-line, free-diving, scuba diving and boat transects). Twelve thousand, six hundred and fifty two hectares (12652.17 ha) were assessed, 3944 groundtruth points were recorded and 3 seagrass species were identified and mapped (Zostera marina, Zostera noltii and Cymodocea nodosa). Ria Formosa had the largest distribution area of seagrass species (241.04 ha), followed by Sado Estuary (32.68 ha). Mira Estuary had only one seagrass meadow and in Portinho da Arrábida Bay no seagrass meadows were registered. Zostera noltii was the most abundant species in both regions, followed by Cymodocea nodosa and Zostera marina. The error assessment for species distribution area and diversity, estimated through kappa statistics based on error matrices, gave a perfect agreement value (K=0.912) to the methodology used.por
dc.identifier.citationCunha, A.H.; Assis, J.F.; Serrão, E.A.Estimation of available seagrass meadow area in Portugal for transplanting purposes, Journal of Coastal Research, SPEC. ISS, 1100-11, 2009por
dc.identifier.issn0749-0208
dc.identifier.otherAUT: ESE00527;
dc.identifier.urihttp://hdl.handle.net/10400.1/4142
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherCoastal Education and Research Foundationpor
dc.subjectGISpor
dc.subjectRestorationpor
dc.subjectMappingpor
dc.titleEstimation of available seagrass meadow area in Portugal for transplanting purposespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1104por
oaire.citation.startPage1100por
oaire.citation.titleJournal of Coastal Research, Special Issuepor
oaire.citation.volume56por
person.familyNameAssis
person.familyNameSerrao
person.givenNameJorge
person.givenNameEster A.
person.identifierC-6686-2012
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.orcid0000-0002-6624-4820
person.identifier.orcid0000-0003-1316-658X
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id53463298700
person.identifier.scopus-author-id7004093604
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationc794f76b-9001-4ac1-913a-bb0f3aab6ef5
relation.isAuthorOfPublication45ccfe90-155c-4d6f-9e86-8f0fd064005f
relation.isAuthorOfPublication.latestForDiscovery45ccfe90-155c-4d6f-9e86-8f0fd064005f

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