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@Article{GalbraithMalhAragBake:2014:EcDyAm,
               author = "Galbraith, David and Malhi, Yadvinder and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Baker, Timothy",
          affiliation = "{University of Leeds} and {University of Oxford} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University of 
                         Leeds}",
                title = "The ecosystem dynamics of Amazonian and Andean forests",
              journal = "Plant Ecology \& Diversity",
                 year = "2014",
               volume = "7",
               number = "1-2",
                pages = "1--6",
                 note = "Editorial",
             keywords = "Amazon, dynamics, rainforest, carbon cycle, Andean forest.",
             abstract = "The importance of Amazonian and Andean rain forests in the Earth 
                         System cannot be overstated. They store ca. 100 billion tonnes of 
                         carbon in their biomass (Malhi et al. 2006; Saatchi et al. 2007), 
                         are responsible for 1015% of global net primary productivity 
                         (Melillo et al. 1993; Zhao and Running 2010) and recycle 2550% of 
                         the rainfall that they receive (Salati and Vose 1984; Costa and 
                         Foley 2000). Furthermore, these rainforests house a large fraction 
                         of global biodiversity and provides a host of ecosystem services 
                         of inestimable local, regional and global value. In recent 
                         decades, great strides have been made in understanding how these 
                         forests vary over space in terms of tree diversity (ter Steege et 
                         al. 2006), biomass storage (Baker et al. 2004b; Malhi et al. 
                         2006), wood production (Malhi et al. 2004) and soil properties 
                         (Quesada et al. 2013). Considerable progress has also been made in 
                         understanding how above-ground biomass (Baker et al. 2004a), tree 
                         mortality and recruitment (Phillips et al. 2004) and some aspects 
                         of species composition (Phillips et al. 2002) of tropical forests 
                         have been changing over time. Despite these significant advances, 
                         much less progress has been made in understanding other 
                         fundamental ecosystem processes, such as internal carbon cycling, 
                         forest successional pathways and the impacts of disturbance events 
                         on forest structure. Knowledge of these processes is essential to 
                         better understand the functioning of Amazonian rain forests and 
                         predict how they may respond to global environmental change. This 
                         Special Issue includes papers that help to bridge these and other 
                         important knowledge gaps in our understanding of the ecological 
                         functioning of Amazonian and Andean rainforests. This issue also 
                         showcases the current strength of South American ecology as 21 out 
                         of the 28 articles in the edition were led by South American 
                         scientists. The issue brings together work related to two general 
                         strands of Amazonian ecosystem ecology, namely biogeochemical 
                         cycling (13 studies) and forest community dynamics and structure 
                         (15 studies).",
                  doi = "10.1080/17550874.2013.826744",
                  url = "http://dx.doi.org/10.1080/17550874.2013.826744",
                 issn = "1755-0874",
                label = "scopus 2014-05 GalbraithMalhAragBake:2014:EcDyAm",
             language = "en",
           targetfile = "galbraith_et_al_ecosystem_dynamics_ped_2014.pdf",
        urlaccessdate = "01 dez. 2020"
}


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