Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil

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dc.contributor.authorFerreira-Ferreira, Jefferson
dc.contributor.authorFreire Silva, Thiago Sanna [UNESP]
dc.contributor.authorStreher, Annia Susin
dc.contributor.authorAffonso, Adriana Gomes
dc.contributor.authorAlmeida Furtado, Luiz Felipe de
dc.contributor.authorForsberg, Bruce Rider
dc.contributor.authorValsecchi, Joo
dc.contributor.authorQueiroz, Helder Lima
dc.contributor.authorLeao de Moraes Novo, Evlyn Marcia
dc.contributor.institutionInstituto de Desenvolvimento Sustentável Mamirauá, Estrada do Bexiga, 2584, Bairro Fonte Boa, Tefé, AM 69470-000, Brasil
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais
dc.contributor.institutionInstituto Nacional de Pesquisas da Amazônia.
dc.date.accessioned2015-10-21T20:17:01Z
dc.date.available2015-10-21T20:17:01Z
dc.date.issued2015-02-01
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 varzea 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 varzea forests of the Mamiraua 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 varzea-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
dc.description.affiliationInstituto de Desenvolvimento Sustentável Mamirauá, Estrada do Bexiga, 2584, Bairro Fonte Boa, Tefé, AM 69470-000, Brasil
dc.description.affiliationInstituto Nacional de Pesquisas Espaciais - Divisão de Sensoriamento Remoto, Coordenação Geral de Observacaoes da Terra
dc.description.affiliationInstituto Nacional de Pesquisas da Amazônia - Coordenaçãoo de Dinâmica Ambiental, Instituto Nacional de Pesquisas da Amazônia, Avenida André Araujo, 2936 – Aleixo, Manaus, AM 69060-000, Brazil
dc.description.affiliationDepartamento de Geografia, Instituto de Geociências e Ciências Exatas de Rio Claro, UNESP - Universidade Estadual Paulista Ju´lio de Mesquita Filho, Avenida 24-A, 1515 - Jardim Bela Vista, Rio Claro, SP 13506-900, Brazil
dc.description.affiliationUnespUniversidade Estadual Paulista - Departamento de Geografia, Instituto de Geociênncias e Ciências Exatas de Rio Claro, Brasil
dc.description.sponsorshipInstituto Nacional de Pesquisas Espaciais (INPE)
dc.description.sponsorshipInstituto de Desenvolvimento Sustentavel Mamiraua (IDSM - OS/MCTI)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2010/11269-2
dc.format.extent41-59
dc.identifierhttp://link.springer.com/article/10.1007%2Fs11273-014-9359-1
dc.identifier.citationWetlands Ecology And Management. Dordrecht: Springer, v. 23, n. 1, p. 41-59, 2015.
dc.identifier.doi10.1007/s11273-014-9359-1
dc.identifier.issn0923-4861
dc.identifier.urihttp://hdl.handle.net/11449/129055
dc.identifier.wosWOS:000349607200004
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofWetlands Ecology And Management
dc.relation.ispartofjcr1.581
dc.relation.ispartofsjr0,656
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectWetlandsen
dc.subjectAmazonian varzeasen
dc.subjectSynthetic aperture radaren
dc.subjectObject-oriented image analysisen
dc.subjectRandom forestsen
dc.subjectManagementen
dc.subjectConservationen
dc.titleCombining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazilen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Rio Claropt

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