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@Article{HuntingfordZGMSFLWJBMHKGLPALGZMBHNMC:2013:SiReTr,
               author = "Huntingford, Chris and Zelazowski, Przemyslaw and Galbraith, David 
                         and Mercado, Lina M. and Sitch, Stephen and Fisher, Rosie and 
                         Lomas, Mark and Walker, Anthony P. and Jones, Chris D. and Booth, 
                         Ben B. B. and Malhi, Yadvinder and Hemming, Debbie and Kay, 
                         Gillian and Good, Peter and Lewis, Simon L. and Phillips, Oliver 
                         L. and Atkin, Owen K. and Lloyd, Jon and Gloor, Emanuel and 
                         Zaragoza-Castells, Joana and Meir, Patrick and Betts, Richard and 
                         Harris, Phil P. and Nobre, Carlos and Marengo, Jos{\'e} Antonio 
                         and Cox, Peter M.",
          affiliation = "Centre for Ecology and Hydrology, Wallingford OX10 8BB, United 
                         Kingdom and Environmental Change Institute, School of Geography 
                         and the Environment, University of Oxford, Oxford OX1 3QY, United 
                         Kingdom and Environmental Change Institute, School of Geography 
                         and the Environment, University of Oxford, Oxford OX1 3QY, United 
                         Kingdom; School of Geography, University of Leeds, Leeds LS2 9JT, 
                         United Kingdom and Centre for Ecology and Hydrology, Wallingford 
                         OX10 8BB, United Kingdom; Geography, College of Life and 
                         Environmental Sciences, Amory Building, University of Exeter, 
                         Exeter EX4 4RJ, United Kingdom and School of Geography, University 
                         of Leeds, Leeds LS2 9JT, United Kingdom; Geography, College of 
                         Life and Environmental Sciences, Amory Building, University of 
                         Exeter, Exeter EX4 4RJ, United Kingdom and Climate and Global 
                         Dynamics, National Center for Atmospheric Research, 1850 Table 
                         Mesa Drive, Boulder, CO 80305, United States and Department of 
                         Animal and Plant Sciences, University of Sheffield, Western Bank, 
                         Sheffield S10 2TN, United Kingdom and Department of Animal and 
                         Plant Sciences, University of Sheffield, Western Bank, Sheffield 
                         S10 2TN, United Kingdom and Met Office Hadley Centre, FitzRoy 
                         Road, Exeter EX1 3PB, United Kingdom and Met Office Hadley Centre, 
                         FitzRoy Road, Exeter EX1 3PB, United Kingdom and Environmental 
                         Change Institute, School of Geography and the Environment, 
                         University of Oxford, Oxford OX1 3QY, United Kingdom and Met 
                         Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom 
                         and Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United 
                         Kingdom and Met Office Hadley Centre, FitzRoy Road, Exeter EX1 
                         3PB, United Kingdom and School of Geography, University of Leeds, 
                         Leeds LS2 9JT, United Kingdom; Department of Geography, University 
                         College London, Pearson Building, Gower Street, London WC1E 6BT, 
                         United Kingdom and School of Geography, University of Leeds, Leeds 
                         LS2 9JT, United Kingdom and Division of Plant Sciences, Research 
                         School of Biology, Australian National University, Canberra, ACT 
                         0200, Australia and School of Geography, University of Leeds, 
                         Leeds LS2 9JT, United Kingdom; Centre for Tropical Environment and 
                         Sustainability Science (TESS), School of Earth and Environmental 
                         Science, James Cook University, Cairns, QLD 4878, Australia and 
                         School of Geography, University of Leeds, Leeds LS2 9JT, United 
                         Kingdom and School of Geosciences, University of Edinburgh, 
                         Drummond Street, Edinburgh EH8 9XP, United Kingdom and Division of 
                         Plant Sciences, Research School of Biology, Australian National 
                         University, Canberra, ACT 0200, Australia; School of Geosciences, 
                         University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, 
                         United Kingdom and Met Office Hadley Centre, FitzRoy Road, Exeter 
                         EX1 3PB, United Kingdom and Centre for Ecology and Hydrology, 
                         Wallingford OX10 8BB, United Kingdom and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and College of 
                         Engineering, Mathematics and Physical Sciences, University of 
                         Exeter, Exeter EX4 4QF, United Kingdom",
                title = "Simulated resilience of tropical rainforests to CO2 -induced 
                         climate change",
              journal = "Nature Geoscience",
                 year = "2013",
               volume = "6",
               number = "4",
                pages = "268--273",
                month = "Apr.",
             keywords = "assessment method, biodegradation, carbon dioxide, climate change, 
                         climate modeling, deforestation, ecosystem resilience, numerical 
                         model, physiological response, precipitation (climatology), 
                         rainforest, temperature effect, tropical environment, tropical 
                         forest, twenty first century, vegetation structure, Africa, Asia, 
                         western hemisphere.",
             abstract = "How tropical forest carbon stocks might alter in response to 
                         changes in climate and atmospheric composition is uncertain. 
                         However, assessing potential future carbon loss from tropical 
                         forests is important for evaluating the efficacy of programmes for 
                         reducing emissions from deforestation and degradation. 
                         Uncertainties are associated with different carbon stock responses 
                         in models with different representations of vegetation processes 
                         on the one hand, and differences in projected changes in 
                         temperature and precipitation patterns on the other hand. Here we 
                         present a systematic exploration of these sources of uncertainty, 
                         along with uncertainty arising from different emissions scenarios 
                         for all three main tropical forest regions: the Americas (that is, 
                         Amazonia and Central America), Africa and Asia. Using simulations 
                         with 22 climate models and the MOSES-TRIFFID land surface scheme, 
                         we find that only in one of the simulations are tropical forests 
                         projected to lose biomass by the end of the twenty-first century - 
                         and then only for the Americas. When comparing with alternative 
                         models of plant physiological processes, we find that the largest 
                         uncertainties are associated with plant physiological responses, 
                         and then with future emissions scenarios. Uncertainties from 
                         differences in the climate projections are significantly smaller. 
                         Despite the considerable uncertainties, we conclude that there is 
                         evidence of forest resilience for all three regions.",
                  doi = "10.1038/ngeo1741",
                  url = "http://dx.doi.org/10.1038/ngeo1741",
                 issn = "1752-0894",
                label = "scopus",
             language = "en",
           targetfile = "ngeo1741.pdf",
        urlaccessdate = "03 maio 2024"
}


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