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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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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Author(s):
Ferreira-Ferreira, Jefferson [1] ; Freire Silva, Thiago Sanna [2] ; Streher, Annia Susin [1] ; Affonso, Adriana Gomes [3] ; de Almeida Furtado, Luiz Felipe [3] ; Forsberg, Bruce Rider [4] ; Valsecchi, Joo [1] ; Queiroz, Helder Lima [1] ; Leao de Moraes Novo, Evlyn Marcia [3]
Total Authors: 9
Affiliation:
[1] Inst Desenvolvimento Sustentavel Mamiraua, BR-69470000 Tefe, AM - Brazil
[2] UNESP Univ Estadual Paulista Julio de Mesquita Fi, Inst Geociencias & Ciencias Exatas Rio Claro, Dept Geog, BR-13506900 Rio Claro, SP - Brazil
[3] Inst Nacl Pesquisas Espaciais, Div Sensoriamento Remoto, BR-12200243 Sao Jose Dos Campos, SP - Brazil
[4] Inst Nacl de Pesquisas da Amazonia, BR-69060000 Manaus, AM - Brazil
Total Affiliations: 4
Document type: Journal article
Source: WETLANDS ECOLOGY AND MANAGEMENT; v. 23, n. 1, SI, p. 41-59, FEB 2015.
Web of Science Citations: 18
Abstract

Remote 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. (AU)

FAPESP's process: 10/11269-2 - Modeling of the spatial dynamics of macrophyte communities in the Amazon floodplain
Grantee:Thiago Sanna Freire Silva
Support type: Scholarships in Brazil - Post-Doctorate