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@Article{OliveiraBMSSVAA:2019:EfLaCh,
               author = "Oliveira, Gabriel de and Brunsell, Nathaniel A. and Moraes, 
                         Elisabete Caria and Shimabukuro, Yosio Edemir and Santos, Thiago 
                         V. dos and Von Randow, Celso and Aguiar, Renata G. de and 
                         Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{University of Kansas} and {University of Kansas} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Michigan} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Rondonia (UFRO)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Effects of land-cover changes on the partitioning of surface 
                         energy and water fluxes in <scp>Amazonia</scp> using 
                         high-resolution satellite imagery",
              journal = "Ecohydrology",
                 year = "2019",
               volume = "12",
                pages = "e2126",
             keywords = "Amazonia, ASTER images, evapotranspiration, land\‐,,cover 
                         changes, spatial variation.",
             abstract = "Spatial variability of surface energy and water fluxes at local 
                         scales is strongly controlled by soil and micrometeorological 
                         conditions. Thus, the accurate estimation of these fluxes from 
                         space at high spatial resolution has the potential to improve 
                         prediction of the impact of land\‐use changes on the local 
                         environment. In this study, Advanced Spaceborne Thermal Emission 
                         and Reflection Radiometer (ASTER) and Large\‐Scale 
                         Biosphere\‐Atmosphere Experiment in Amazonia (LBA) data 
                         were used to examine the partitioning of surface energy and water 
                         fluxes over different land\‐ cover types in one wet year 
                         (2004) and one drought year (2005) in eastern Rondonia state, 
                         Brazil. The spatial variation of albedo, net radiation (Rn), soil 
                         (G) and sensible (H) heat fluxes, evapotranspiration (ET), and 
                         evaporative fraction (EF) were primarily related to the lower 
                         presence of forest (primary [PF] or secondary [SF]) in the western 
                         side of the Ji\‐Parana River in comparison with the eastern 
                         side, located within the Jaru Biological Reserve protected area. 
                         Water limitation in this part of Amazonia tends to affect 
                         anthropic (pasture [PA] and agriculture [AG]) ecosystems more than 
                         the natural land covers (PF and SF). We found statistically 
                         significant differences on the surface fluxes prior to and ~1 year 
                         after the deforestation. Rn over forested areas is ~10% greater in 
                         comparison with PA and AG. Deforestation and consequent transition 
                         to PA or AG increased the total energy (~200400%) used to heat the 
                         soil subsurface and raise air temperatures. These differences in 
                         energy partitioning contributed to approximately three times 
                         higher ET over forested areas in comparison with nonforested 
                         areas. The conversion of PF to AG is likely to have a higher 
                         impact in the local climate in this part of Amazonia when compared 
                         with the change to PA and SF, respectively. These results 
                         illustrate the importance of conserving secondary forest areas in 
                         Amazonia.",
                  doi = "10.1002/eco.2126",
                  url = "http://dx.doi.org/10.1002/eco.2126",
                 issn = "1936-0584",
                label = "lattes: 1913003589198061 4 OliveiraBMSSRAA:2019:EfLaCh",
             language = "en",
           targetfile = "oliveira_effects.pdf",
        urlaccessdate = "2020, July 05"
}


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