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@Article{BispoBMSSREAXB:2017:DrMeSt,
               author = "Bispo, Polyanna da Concei{\c{c}}{\~a}o and Balzter, Heiko and 
                         Malhi, Yadvinder and Slik, J. W. Ferry and Santos, Jo{\~a}o 
                         Roberto dos and Renn{\'o}, Camilo Daleles and Esp{\'{\i}}rito 
                         Santo, Fernando D. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz 
                         de and Ximenes, Arimat{\'e}a C. and Bispo, Pit{\'a}goras da 
                         Concei{\c{c}}{\~a}o",
          affiliation = "{University of Leicester} and {University of Leicester} and 
                         {University of Oxford} and {Universiti Brunei Darussalam} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Lancaster University} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universit{\'e} Libre de Bruxelles} and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Drivers of metacommunity structure diverge for common and rare 
                         Amazonian tree species",
              journal = "Plos One",
                 year = "2017",
               volume = "12",
               number = "11",
                pages = "e0188300.",
                month = "Nov.",
             abstract = "We analysed the flora of 46 forest inventory plots (25 m x 100 m) 
                         in old growth forests from the Amazonian region to identify the 
                         role of environmental (topographic) and spatial variables 
                         (obtained using PCNM, Principal Coordinates of Neighbourhood 
                         Matrix analysis) for common and rare species. For the analyses, we 
                         used multiple partial regression to partition the specific effects 
                         of the topographic and spatial variables on the univariate data 
                         (standardised richness, total abundance and total biomass) and 
                         partial RDA (Redundancy Analysis) to partition these effects on 
                         composition (multivariate data) based on incidence, abundance and 
                         biomass. The different attributes (richness, abundance, biomass 
                         and composition based on incidence, abundance and biomass) used to 
                         study this metacommunity responded differently to environmental 
                         and spatial processes. Considering standardised richness, total 
                         abundance (univariate) and composition based on biomass, the 
                         results for common species differed from those obtained for all 
                         species. On the other hand, for total biomass (univariate) and for 
                         compositions based on incidence and abundance, there was a 
                         correspondence between the data obtained for the total community 
                         and for common species. Our data also show that in general, 
                         environmental and/or spatial components are important to explain 
                         the variability in tree communities for total and common species. 
                         However, with the exception of the total abundance, the 
                         environmental and spatial variables measured were insufficient to 
                         explain the attributes of the communities of rare species. These 
                         results indicate that predicting the attributes of rare tree 
                         species communities based on environmental and spatial variables 
                         is a substantial challenge. As the spatial component was relevant 
                         for several community attributes, our results demonstrate the 
                         importance of using a metacommunities approach when attempting to 
                         understand the main ecological processes underlying the diversity 
                         of tropical forest communities.",
                  doi = "10.1371/journal.pone.0188300",
                  url = "http://dx.doi.org/10.1371/journal.pone.0188300",
                 issn = "1932-6203",
             language = "en",
           targetfile = "bispo_drivers.pdf",
        urlaccessdate = "04 dez. 2020"
}


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