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@Article{RezendeArMoAiVoMeOm:2016:CaMaCa,
               author = "Rezende, Luiz Felipe Campos de and Arenque-Musa, B. C. and Moura, 
                         M. S. B. and Aidar, S. T. and Von Randow, Celso and Menezes, R. S. 
                         C. and Ometto, Jean Pierre Henry Balbaud",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Empresa Brasileira de 
                         Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Empresa Brasileira de 
                         Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de 
                         Pernambuco (UFPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Calibration of the maximum carboxylation velocity (Vcmax) using 
                         data mining techniques and ecophysiological data from the 
                         Brazilian semiarid region, for use in Dynamic Global Vegetation 
                         Models",
              journal = "Brazilian Journal of Biology",
                 year = "2016",
               volume = "76",
               number = "2",
                pages = "341--351",
                month = "Apr./June",
             keywords = "Caatinga, Dynamic Global Vegetation Models (DGVM), Global changes, 
                         Gross Primary Productivity (GPP), Maximum carboxylation velocity 
                         (Vcmax).",
             abstract = "The semiarid region of northeastern Brazil, the Caatinga, is 
                         extremely important due to its biodiversity and endemism. 
                         Measurements of plant physiology are crucial to the calibration of 
                         Dynamic Global Vegetation Models (DGVMs) that are currently used 
                         to simulate the responses of vegetation in face of global changes. 
                         In a field work realized in an area of preserved Caatinga forest 
                         located in Petrolina, Pernambuco, measurements of carbon 
                         assimilation (in response to light and CO2) were performed on 11 
                         individuals of Poincianella microphylla, a native species that is 
                         abundant in this region. These data were used to calibrate the 
                         maximum carboxylation velocity (Vcmax) used in the INLAND model. 
                         The calibration techniques used were Multiple Linear Regression 
                         (MLR), and data mining techniques as the Classification And 
                         Regression Tree (CART) and K-MEANS. The results were compared to 
                         the UNCALIBRATED model. It was found that simulated Gross Primary 
                         Productivity (GPP) reached 72% of observed GPP when using the 
                         calibrated Vcmax values, whereas the UNCALIBRATED approach 
                         accounted for 42% of observed GPP. Thus, this work shows the 
                         benefits of calibrating DGVMs using field ecophysiological 
                         measurements, especially in areas where field data is scarce or 
                         non-existent, such as in the Caatinga.",
                  doi = "10.1590/1519-6984.14414",
                  url = "http://dx.doi.org/10.1590/1519-6984.14414",
                 issn = "1519-6984",
             language = "en",
        urlaccessdate = "29 nov. 2020"
}


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