Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72729
DC FieldValueLanguage
dc.contributor.authorManent, Pabloen_US
dc.contributor.authorBañolas, Gonzaloen_US
dc.contributor.authorAlberto, Filipeen_US
dc.contributor.authorCurbelo Muñoz, Leticiaen_US
dc.contributor.authorEspino Rodríguez, Fernandoen_US
dc.contributor.authorTuya, Fernandoen_US
dc.date.accessioned2020-05-22T07:55:29Z-
dc.date.available2020-05-22T07:55:29Z-
dc.date.issued2020en_US
dc.identifier.issn1052-7613en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/72729-
dc.description.abstractSeagrass meadows are crucial habitats on nearshore areas, which are exposed to human disturbances that frequently cause seagrass loss. Although demographic and mapping data have been widely used in long-term monitoring programmes, the integration of multi-locus genotype data through time remains rare. The present work links, for the first time, landscape, demographic, and genetic data for a seagrass, so as to explore long-term responses to persistent human impacts. The temporal patterns in meadow area, shoot density, and clonal and genetic diversity of three Cymodocea nodosa meadows were compared: in one meadow directly affected by the construction of an industrial port and in two control areas. The hypothesis tested was that seagrass deterioration and subsequent habitat loss at the affected meadow would be associated with a reduction of seagrass clonal and genetic diversity. The results show significant reductions in both meadow area (from approx. 21 to 1.5 ha) and shoot density (from approx. 1,800 to 400 shoots per m2) at the impacted meadow, with concurrently reduced clonal and allelic richness (by approx. 22%), as well as heterozygosity (HLmean, approx. 21%; Hobs, approx. 12%). These descriptors, however, remained stable, or even increased, in the controls. Importantly for seagrass management, multi-disciplinary analysis made it possible to link slower, large-scale, landscape and genetic degradation processes with faster demographic deterioration on an intermediate meadow scale. Multi-locus genotype data were also crucial for revealing long-term degradation processes at the genetic level, which is undetectable by traditional monitoring techniques. In summary, this holistic approach provides a valuable framework for long-term seagrass monitoring programmes to detect cumulative signals of seagrass meadow degradation across a range of scales.en_US
dc.languageengen_US
dc.relation.ispartofAquatic Conservation: Marine and Freshwater Ecosystemsen_US
dc.sourceAquatic Conservation: Marine and Freshwater Ecosystems [ISSN 1052-7613], (Enero 2020)en_US
dc.subject241705 Biología marinaen_US
dc.subject.otherAnthropogenic Disturbancesen_US
dc.subject.otherAtlanticen_US
dc.subject.otherClonalityen_US
dc.subject.otherGenetic Diversityen_US
dc.subject.otherMeadow Areaen_US
dc.subject.otherSeagrassesen_US
dc.titleLong-term seagrass degradation: Integrating landscape, demographic, and genetic responsesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/aqc.3325en_US
dc.identifier.scopus85084229753-
dc.contributor.authorscopusid15822231100-
dc.contributor.authorscopusid57214469132-
dc.contributor.authorscopusid6701653422-
dc.contributor.authorscopusid57205250697-
dc.contributor.authorscopusid55959248800-
dc.contributor.authorscopusid6603608107-
dc.identifier.eissn1099-0755-
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2020en_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptDepartamento de Biología-
crisitem.author.deptBiodiversidad y Conservación-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.orcid0000-0001-8316-5887-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameCurbelo Muñoz, Leticia-
crisitem.author.fullNameEspino Rodríguez, Fernando-
crisitem.author.fullNameTuya Cortés, Fernando José-
crisitem.author.departamentoBiología-
Appears in Collections:Artículos
Show simple item record

Page view(s)

6
checked on May 23, 2020

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.