author = "Cordeiro, Carlos Leandro de Oliveira and Rossetti, Dilce de 
                         F{\'a}tima and Gribel, Rog{\'e}rio and Tuomisto, Hanna and Zani, 
                         Hiran and Ferreira, Carlos A. C. and Coelho, Luiz",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Jardim Bot{\^a}nico, 
                         Rio de Janeiro and {University of Turku} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de 
                         Pesquisas da Amaz{\^o}nia (INPA)}",
                title = "Impact of sedimentary processes on white-sand vegetation in an 
                         Amazonian megafan",
              journal = "Journal of Tropical Ecology",
                 year = "2016",
               volume = "32",
                pages = "498--509",
                month = "Nov.",
             keywords = "Amazonian, megafan, open vegetation, sedimentary dynamics, 
                         white-sand vegetation.",
             abstract = "Amazonian white-sand vegetation has unique tree communities 
                         tolerant to nutrient-poor soils of interest for interpreting 
                         processes of adaptation in neotropical forests. Part of this 
                         phytophysionomy is confined to Late Quaternary megafan 
                         palaeo-landforms, thus we posit that sedimentary disturbance is 
                         the main ecological factor controlling tree distribution and 
                         structuring in this environment. In this study, we characterize 
                         the topographic trend of one megafan palaeo-landform using a 
                         digital elevation model and verify its relationship to the forest 
                         by modelling the canopy height with remote sensing data. We also 
                         compare the composition and structure (i.e. canopy height and 
                         diameter at breast height) of tree groups from the outer and inner 
                         megafan environments based on the integration of remote sensing 
                         and floristic data. The latter consist of field inventories of 
                         trees >= 10 cm dbh using six (500 x 20 m) plots in varzea, terra 
                         firme and igapo from the outer megafan and 20 (50 x 20 m) plots in 
                         woodlands and forests from the inner megafan. The unweighted pair 
                         group method with arithmetic mean (UPGMA) and the non-metric 
                         multidimensional scaling (NMDS) were applied for clustering and 
                         dissimilarity analyses, respectively. The megafan is a 
                         sand-dominated triangular wetland with a topographic gradient of < 
                         15 cm km(-1), being more elevated along its axis. The outer 
                         megafan has a higher number of tree species (367), taller canopy 
                         height (mean of 14.1 m) and higher diameter at breast height (mean 
                         of 18.2 cm) than the white-sand forest. The latter records 89 tree 
                         species, mean canopy height of 8.4 cm and mean diameter at breast 
                         height of 15.3 cm. Trees increase in frequency closer to channels 
                         and toward the megafan's axis. The flooded and nutrient-poor sandy 
                         megafan substrate favoured the establishment of white-sand 
                         vegetation according to the overall megafan topography and 
                         morphological heterogeneities inherent to megafan 
                  doi = "10.1017/S0266467416000493",
                  url = "http://dx.doi.org/10.1017/S0266467416000493",
                 issn = "0266-4674",
             language = "en",
           targetfile = "cordeiro_impact.pdf",
        urlaccessdate = "04 dez. 2020"