Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29225
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dc.contributor.authorFerreira-Ferreira, Jeffersonen_UK
dc.contributor.authorSilva, Thiago Sanna Freireen_UK
dc.contributor.authorStreher, Annia Susinen_UK
dc.contributor.authorAffonso, Adriana Gomesen_UK
dc.contributor.authorde Almeida Furtado, Luiz Felipeen_UK
dc.contributor.authorForsberg, Bruce Rideren_UK
dc.contributor.authorValsecchi, Joãoen_UK
dc.contributor.authorQueiroz, Helder Limaen_UK
dc.contributor.authorde Moraes Novo, Evlyn Márcia Leãoen_UK
dc.date.accessioned2019-04-05T00:01:51Z-
dc.date.available2019-04-05T00:01:51Z-
dc.date.issued2015-02en_UK
dc.identifier.urihttp://hdl.handle.net/1893/29225-
dc.description.abstractRemote sensing studies of vegetation cover and hydrologic dynamics in Amazonian wetlands have been mostly limited temporally or spatially, and the distribution and spatial configuration of Amazonian várzea habitats remains poorly known. This study uses multitemporal PALSAR L-band radar imagery combined with object-based image analysis, data mining techniques and field data to derive vegetation structure and inundation patterns and characterize major vegetation types in várzea forests of the Mamirauá Sustainable Development Reserve. Our results show that the combination of vegetation cover and inundation extent information can be a good indicator of the complex gradient of habitats along the floodplain. The intersection between vegetation and flood duration classes showed a wider range of combinations than suggested from field based studies. Chavascal areas—chacaracterized as a dense and species-poor shrub/tree community developing in old depressions, abandoned channels, and shallow lakes—had shorter inundation periods than the usually recognized hydroperiod of 180–240 days of flooding, while low várzea—a diverse community that have fewest and smallest species, and highest individual density and that tolerate 120–180 days of flooding every year—was distributed between flood duration ranges that were higher than reported by the literature. Forest communities growing at sites that were never mapped as flooded could indicate areas that only flood during extreme hydrological events, for short periods of time. Our results emphasize the potential contribution of SAR remote sensing to the monitoring and management of wetland environments, providing not only accurate information on spatial landscape configuration and vegetation distribution, but also important insights on the ecohydrological processes that ultimately determine the distribution of complex floodplain habitat mosaics.en_UK
dc.language.isoenen_UK
dc.publisherBMCen_UK
dc.relationFerreira-Ferreira J, Silva TSF, Streher AS, Affonso AG, de Almeida Furtado LF, Forsberg BR, Valsecchi J, Queiroz HL & de Moraes Novo EML (2015) Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamirauá Sustainable Development Reserve, Central Amazon floodplain, Brazil. Wetlands Ecology and Management, 23 (1), pp. 41-59. https://doi.org/10.1007/s11273-014-9359-1en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectAmazonian varzeasen_UK
dc.subjectwetlandsen_UK
dc.subjectsynthetic aperture radaren_UK
dc.subjectobject-orientated image analysisen_UK
dc.subjectrandom forestsen_UK
dc.subjectmanagementen_UK
dc.subjectconservationen_UK
dc.titleCombining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamirauá Sustainable Development Reserve, Central Amazon floodplain, Brazilen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Ferreira-Ferreira-WEM-2015.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/s11273-014-9359-1en_UK
dc.citation.jtitleWetlands Ecology and Managementen_UK
dc.citation.issn1572-9834en_UK
dc.citation.issn0923-4861en_UK
dc.citation.volume23en_UK
dc.citation.issue1en_UK
dc.citation.spage41en_UK
dc.citation.epage59en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBrazilian National Research Councilen_UK
dc.author.emailthiago.sf.silva@stir.ac.uken_UK
dc.citation.date11/06/2014en_UK
dc.contributor.affiliationInstituto de Desenvolvimento Sustentável Mamirauáen_UK
dc.contributor.affiliationSao Paulo State Universityen_UK
dc.contributor.affiliationInstituto de Desenvolvimento Sustentável Mamirauáen_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationInstituto de Desenvolvimento Sustentável Mamirauáen_UK
dc.contributor.affiliationInstituto de Desenvolvimento Sustentável Mamirauáen_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.identifier.isiWOS:000349607200004en_UK
dc.identifier.scopusid2-s2.0-84937124164en_UK
dc.identifier.wtid1239076en_UK
dc.contributor.orcid0000-0001-8174-0489en_UK
dc.date.accepted2014-05-24en_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
dc.date.filedepositdate2019-04-01en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

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