author = "Lyra, Andr{\'e} de Arruda and Chou, Sin Chan and Oliveira, Gilvan 
                         Sampaio de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Sensitivity of the Amazon biome to high resolution climate change 
              journal = "Acta Amazonica",
                 year = "2016",
               volume = "46",
               number = "2",
                pages = "175--187",
                month = "June",
             keywords = "climate change, regional climate model, dynamic vegetation 
             abstract = "Despite the reduction in deforestation rate in recent years, the 
                         impact of global warming by itself can cause changes in vegetation 
                         cover. The objective of this work was to investigate the possible 
                         changes on the major Brazilian biome, the Amazon Rainforest, under 
                         different climate change scenarios. The dynamic vegetation models 
                         may simulate changes in vegetation distribution and the 
                         biogeochemical processes due to climate change. Initially, the 
                         Inland dynamic vegetation model was forced with initial and 
                         boundary conditions provided by CFSR and the Eta regional climate 
                         model driven by the historical simulation of HadGEM2-ES. These 
                         simulations were validated using the Santarem tower data. In the 
                         second part, we assess the impact of a future climate change on 
                         the Amazon biome by applying the Inland model forced with regional 
                         climate change projections. The projections show that some areas 
                         of rainforest in the Amazon region are replaced by deciduous 
                         forest type and grassland in RCP4.5 scenario and only by grassland 
                         in RCP8.5 scenario at the end of this century. The model indicates 
                         a reduction of approximately 9% in the area of tropical forest in 
                         RCP4.5 scenario and a further reduction in the RCP8.5 scenario of 
                         about 50% in the eastern region of Amazon. Although the increase 
                         of CO2 atmospheric concentration may favour the growth of trees, 
                         the projections of Eta-HadGEM2-ES show increase of temperature and 
                         reduction of rainfall in the Amazon region, which caused the 
                         forest degradation in these simulations.",
                  doi = "10.1590/1809-4392201502225",
                  url = "http://dx.doi.org/10.1590/1809-4392201502225",
                 issn = "0044-5967",
             language = "en",
           targetfile = "Lyra_sensitivity.pdf",
        urlaccessdate = "29 nov. 2020"