@Article{ZeriSMAARSCN:2014:VaCaWa,
               author = "Zeri, Marcelo and S{\'a}, Leonardo Deane Abreu de and Manzi, 
                         Antonio O. and Araujo, Alessandro C. and Aguiar, Renata G. and von 
                         Randow, Celso and Sampaio, Gilvan and Cardoso, Fernando L. and 
                         Nobre, Carlos A.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and INPA, Manaus, 
                         Amazonas, Brazil. and Embrapa Amazonia Oriental, Belem, Para, 
                         Brazil. and Univ Fed Rondonia, Porto Velho, Rondonia, Brazil. and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Univ Fed Rondonia, Ji 
                         Parana, Rondonia, Brazil. and Minist Ciencia Tecnol \& Inovacao, 
                         Secretaria Polit, Brasilia, DF, Brazil.; Minist Ciencia Tecnol \& 
                         Inovacao, Programa Pesquisa, Brasilia, DF, Brazil.; Minist Ciencia 
                         Tecnol \& Inovacao, Programas Desenvolvimento, Brasilia, DF, 
                         Brazil.",
                title = "Variability of Carbon and Water Fluxes Following Climate Extremes 
                         over a Tropical Forest in Southwestern Amazonia",
              journal = "PLoS One",
                 year = "2014",
               volume = "9",
               number = "2",
                pages = "12pp.",
                month = "Feb.",
             keywords = "carbon, water fluxes, climate extremes, tropical forest.",
             abstract = "The carbon and water cycles for a southwestern Amazonian forest 
                         site were investigated using the longest time series of fluxes of 
                         CO2 and water vapor ever reported for this site. The period from 
                         2004 to 2010 included two severe droughts (2005 and 2010) and a 
                         flooding year (2009). The effects of such climate extremes were 
                         detected in annual sums of fluxes as well as in other components 
                         of the carbon and water cycles, such as gross primary production 
                         and water use efficiency. Gap-filling and flux-partitioning were 
                         applied in order to fill gaps due to missing data, and errors 
                         analysis made it possible to infer the uncertainty on the carbon 
                         balance. Overall, the site was found to have a net carbon uptake 
                         of approximate to 5 t C ha(-1) year(-1), but the effects of the 
                         drought of 2005 were still noticed in 2006, when the climate 
                         disturbance caused the site to become a net source of carbon to 
                         the atmosphere. Different regions of the Amazon forest might 
                         respond differently to climate extremes due to differences in dry 
                         season length, annual precipitation, species compositions, albedo 
                         and soil type. Longer time series of fluxes measured over several 
                         locations are required to better characterize the effects of 
                         climate anomalies on the carbon and water balances for the whole 
                         Amazon region. Such valuable datasets can also be used to 
                         calibrate biogeochemical models and infer on future scenarios of 
                         the Amazon forest carbon balance under the influence of climate 
                         change.",
                  doi = "10.1371/journal.pone.0088130",
                  url = "http://dx.doi.org/10.1371/journal.pone.0088130",
                 issn = "1932-6203",
                label = "isi 2014-05 ZeriSMAARSCN:2014:VaCaWa",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}