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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/129055
Title: 
Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil
Author(s): 
Institution: 
  • Instituto de Desenvolvimento Sustentável Mamirauá, Estrada do Bexiga, 2584, Bairro Fonte Boa, Tefé, AM 69470-000, Brasil
  • Instituto Nacional de Pesquisas Espaciais
  • Instituto Nacional de Pesquisas da Amazônia.
ISSN: 
0923-4861
Sponsorship: 
  • Instituto Nacional de Pesquisas Espaciais (INPE)
  • Instituto de Desenvolvimento Sustentavel Mamiraua (IDSM - OS/MCTI)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Sponsorship Process Number: 
FAPESP: 2010/11269-2
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.
Issue Date: 
1-Feb-2015
Citation: 
Wetlands Ecology And Management. Dordrecht: Springer, v. 23, n. 1, p. 41-59, 2015.
Time Duration: 
41-59
Publisher: 
Springer
Keywords: 
  • Wetlands
  • Amazonian varzeas
  • Synthetic aperture radar
  • Object-oriented image analysis
  • Random forests
  • Management
  • Conservation
Source: 
http://link.springer.com/article/10.1007%2Fs11273-014-9359-1
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/129055
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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