@Article{FonsecaDMRCSRTB:2019:PhSeEc,
               author = "Fonseca, Let{\'{\i}}cia D'Agosto Miguel and Dalagnol, Ricardo 
                         and Malhi, Yadvinder and Rifai, Sami W. and Costa, Gabriel B. and 
                         Silva, Thiago S. B. and Rocha, Humberto R. da and Tavares, Iane 
                         Brito and Borma, Laura de Simone",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University of Oxford} 
                         and {University of Oxford} and {Universidade Federal do Oeste do 
                         Par{\'a} (UFOPA)} and {University of Stirling} and {Universidade 
                         de S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Phenology and seasonal ecosystem productivity in an Amazonian 
                         floodplain forest",
              journal = "Remote Sensing",
                 year = "2019",
               volume = "11",
               number = "13",
                pages = "e1530",
                month = "July",
             keywords = "tropical wetlands, floodplain phenology, eddy covariance, GPP, 
                         MODIS, MAIAC, seasonality.",
             abstract = "Several studies have explored the linkages between phenology and 
                         ecosystem productivity across the Amazon basin. However, few 
                         studies have focused on flooded forests, which correspond to c.a. 
                         14% of the basin. In this study, we assessed the seasonality of 
                         ecosystem productivity (gross primary productivity, GPP) from eddy 
                         covariance measurements, environmental drivers and phenological 
                         patterns obtained from the field (leaf litter mass) and satellite 
                         measurements (enhanced vegetation index (EVI) from the Moderate 
                         Resolution Imaging Spectroradiometer/multi-angle implementation 
                         correction (MODIS/MAIAC)) in an Amazonian floodplain forest. We 
                         found that ecosystem productivity is limited by soil moisture in 
                         two different ways. During the flooded period, the excess of water 
                         limits GPP (Spearmans correlation; rho = \−0.22), while 
                         during non-flooded months, GPP is positively associated with soil 
                         moisture (rho = 0.34). However, GPP is maximized when cumulative 
                         water deficit (CWD) increases (rho = 0.81), indicating that GPP is 
                         dependent on the amount of water available. EVI was positively 
                         associated with leaf litter mass (Pearsons correlation; r = 0.55) 
                         and with GPP (r = 0.50), suggesting a coupling between new leaf 
                         production and the phenology of photosynthetic capacity, 
                         decreasing both at the peak of the flooded period and at the end 
                         of the dry season. EVI was able to describe the inter-annual 
                         variations on forest responses to environmental drivers, which 
                         have changed during an observed El Niņo-Southern Oscillation 
                         (ENSO) year (2015/2016).",
                  doi = "10.3390/rs11131530",
                  url = "http://dx.doi.org/10.3390/rs11131530",
                 issn = "2072-4292",
             language = "en",
           targetfile = "fonseca_phenology.pdf",
        urlaccessdate = "27 abr. 2024"
}