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@Article{AguilosSBHCCWZTB:2018:InSeVa,
               author = "Aguilos, Maricar and Stahl, Cl{\'e}ment and Burban, Benoit and 
                         H{\'e}rault, Bruno and Courtois, Elodie and Coste, Sabrina and 
                         Wagner, Fabien Hubert and Ziegler, Camille and Takagi, Kentaro and 
                         Bonal, Damien",
          affiliation = "{Universit{\'e} des Antilles} and {Universit{\'e} des Antilles} 
                         and {Universit{\'e} des Antilles} and {Universit{\'e} de 
                         Montpellier} and {Universit{\'e} de Guyane} and {Universit{\'e} 
                         des Antilles} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universit{\'e} des Antilles} and {Hokkaido 
                         University}",
                title = "Interannual and seasonal variations in ecosystem transpiration and 
                         water use efficiency in a tropical rainforest",
              journal = "Forests",
                 year = "2018",
               volume = "10",
               number = "1",
                month = "Dec.",
             keywords = "tropical rainforest, evapotranspiration, water use efficiency, 
                         drought, radiation.",
             abstract = "Warmer and drier climates over Amazonia have been predicted for 
                         the next century with expected changes in regional water and 
                         carbon cycles. We examined the impact of interannual and seasonal 
                         variations in climate conditions on ecosystem-level 
                         evapotranspiration (ET) and water use efficiency (WUE) to 
                         determine key climatic drivers and anticipate the response of 
                         these ecosystems to climate change. We used daily climate and 
                         eddyflux data recorded at the Guyaflux site in French Guiana from 
                         2004 to 2014. ET and WUE exhibited weak interannual variability. 
                         The main climatic driver of ET and WUE was global radiation (Rg), 
                         but relative extractable water (REW) and soil temperature (Ts) did 
                         also contribute. At the seasonal scale, ET and WUE showed a modal 
                         pattern driven by Rg, with maximum values for ET in July and 
                         August and for WUE at the beginning of the year. By removing 
                         radiation effects during water depleted periods, we showed that 
                         soil water stress strongly reduced ET. In contrast, drought 
                         conditions enhanced radiation-normalized WUE in almost all the 
                         years, suggesting that the lack of soil water had a more severe 
                         effect on ecosystem evapotranspiration than on photosynthesis. Our 
                         results are of major concern for tropical ecosystem modeling 
                         because they suggest that under future climate conditions, 
                         tropical forest ecosystems will be able to simultaneously adjust 
                         CO2 and H2O fluxes. Yet, for tropical forests under future 
                         conditions, the direction of change in WUE at the ecosystem scale 
                         is hard to predict, since the impact of radiation on WUE is 
                         counterbalanced by adjustments to soil water limitations. 
                         Developing mechanistic models that fully integrate the processes 
                         associated with CO2 and H2O flux control should help researchers 
                         understand and simulate future functional adjustments in these 
                         ecosystems.",
                  doi = "10.3390/f10010014",
                  url = "http://dx.doi.org/10.3390/f10010014",
                 issn = "1999-4907",
             language = "en",
           targetfile = "aguilos_interannual.pdf",
        urlaccessdate = "25 nov. 2020"
}


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