@InProceedings{LapolaQNADHKLMORW:2015:AsEfIn,
               author = "Lapola, David and Quesada, Carlos and Norby, Richard and 
                         Ara{\'u}jo, Alessandro and Domingues, Tomas and Hartley, Ian and 
                         Kruijt, Bart and Lewin, Keith and Meir, Patrick and Ometto, Jean 
                         Pierre Henry Balbaud and Rammig, Anja and Walker, Anthony",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Institudo Nacional 
                         de Pesquisas da Amaz{\^o}nia (INPA)} and {Oak Ridge National 
                         Laboratory} and {Empresa Brasileira de Pesquisa Agropecu{\'a}ria 
                         (EMBRAPA)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {University of Exter} and {Wageningen University} and {Brookhaven 
                         National Laboratory} and {University of Edinburgh} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Potsdam Institute for 
                         Climate Change} and {Oak Ridge National Laboratory}",
                title = "The AmazonFACE research program: assessing the effects of 
                         increasing atmospheric CO2 on the ecology and resilience of the 
                         Amazon forest",
                 year = "2015",
         organization = "Annual Meeting of the Association for Tropical Biology and 
                         Conservation, 52.",
             abstract = "The existence, magnitude and duration of a supposed CO2 
                         fertilization effect in tropical forests remains largely 
                         undetermined, despite being suggested for nearly 20 years as a key 
                         knowledge gap for understanding the future resilience of Amazonian 
                         forests and its impact on the global carbon cycle. Reducing this 
                         uncertainty is critical for assessing the future of the Amazon 
                         region as well as its vulnerability to climate change. The 
                         AmazonFACE (Free-Air CO2 Enrichment) research program is an 
                         experiment of unprecedented scope in an old-growth Amazon forest 
                         near Manaus, Brazil the first of its kind in tropical forest. The 
                         experimental treatment will simulate an atmospheric CO2 
                         concentration [CO2] of the future in order to address the 
                         question: How will rising atmospheric CO2 affect the resilience of 
                         the Amazon forest, the biodiversity it harbors, and the ecosystem 
                         services it provides, in light of projected climatic changes? 
                         AmazonFACE is divided into three phases: (I) pre-experimental 
                         ecological characterization of the research site; (II) pilot 
                         experiment comprised of two 30-m diameter plots, with one 
                         treatment plot maintained at elevated [CO2] (ambient +200 ppmv), 
                         and the other control plot at ambient [CO2]; and (III) a 
                         fully-replicated long-term experiment comprised of four pairs of 
                         control/treatment FACE plots maintained for 10 years. A team of 
                         scientists from Brazil, USA, Australia and Europe will employ 
                         state-of-the-art methods to study the forest inside these plots in 
                         terms of carbon metabolism and cycling, water use, nutrient 
                         cycling, forest community composition, and interactions with 
                         environmental stressors. All project phases also encompass 
                         ecosystem-modeling activities in a way such that models provide 
                         hypothesis to be verified in the experiment, which in turn will 
                         feed models to ultimately produce more accurate projections of the 
                         environment. Resulting datasets and analyses will be a valuable 
                         resource for a broad community, especially ecosystem and climate 
                         modelers, and policy-makers.",
  conference-location = "Honolulu, Hawaii",
      conference-year = "12-16 July",
             language = "en",
        urlaccessdate = "25 abr. 2024"
}