@Article{OliveiraCMCRSSS:2020:EvPrOv,
               author = "Oliveira, Gabriel de and Chen, Jing M. and Mataveli, Guilherme A. 
                         V. and Chaves, Michel Eust{\'a}quio Dantas and Rao, Jing and 
                         Sternberg, Marcelo and Santos, Thiago Veloso dos and Santos, 
                         Carlos A. C. dos",
          affiliation = "{University of Toronto} and {University of Toronto} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o del-Rei (UFSJR)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Waterloo} and {Tel Aviv University} and {Brazilian Agricultural 
                         Research Corporation} and {Universidade Federal de Campina Grande 
                         (UFCG)}",
                title = "Evapotranspiration and precipitation over pasture and soybean 
                         areas in the Xingu river basin, an expanding amazonian 
                         agricultural frontier",
              journal = "Agronomy",
                 year = "2020",
               volume = "10",
               number = "8",
                pages = "e1112",
                month = "Aug.",
             keywords = "tropical agriculture, deforestation, Amazonia, evapotranspiration, 
                         MODIS, TRMM.",
             abstract = "The conversion from primary forest to agriculture drives 
                         widespread changes that have the potential to modify the 
                         hydroclimatology of the Xingu River Basin. Moreover, climate 
                         impacts over eastern Amazonia have been strongly related to 
                         pasture and soybean expansion. This study carries out a 
                         remote-sensing, spatial-temporal approach to analyze inter- and 
                         intra-annual patterns in evapotranspiration (ET) and precipitation 
                         (PPT) over pasture and soybean areas in the Xingu River Basin 
                         during a 13-year period. We used ET estimates from the Moderate 
                         Resolution Imaging Spectroradiometer (MODIS) and PPT estimates 
                         from the Tropical Rainfall Measurement Mission (TRMM) satellite. 
                         Our results showed that the annual average ET in the pasture was 
                         ~20% lower than the annual average in soybean areas. We show that 
                         PPT is notably higher in the northern part of the Xingu River 
                         Basin than the drier southern part. ET, on the other hand, appears 
                         to be strongly linked to land-use and land-cover (LULC) patterns 
                         in the Xingu River Basin. Lower annual ET averages occur in 
                         southern areas where dominant LULC is savanna, pasture, and 
                         soybean, while more intense ET is observed over primary forests 
                         (northern portion of the basin). The primary finding of our study 
                         is related to the fact that the seasonality patterns of ET can be 
                         strongly linked to LULC in the Xingu River Basin. Further studies 
                         should focus on the relationship between ET, gross primary 
                         productivity, and water-use efficiency in order to better 
                         understand the coupling between water and carbon cycling over this 
                         expanding Amazonian agricultural frontier.",
                  doi = "10.3390/agronomy10081112",
                  url = "http://dx.doi.org/10.3390/agronomy10081112",
                 issn = "2073-4395",
             language = "en",
           targetfile = "oliveira_evapotranspiration.pdf",
        urlaccessdate = "25 abr. 2024"
}