@Article{MoulatletCosRenEmiSch:2014:LoHyCo,
               author = "Moulatlet, G. M. and Costa, F. R. C. and Renn{\'o}, Camilo 
                         Daleles and Emilio, T. and Schietti, J.",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and 
                         {Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} 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 = "Local hydrological conditions explain floristic composition in 
                         lowland amazonian forests",
              journal = "Biotropica",
                 year = "2014",
               volume = "46",
               number = "4",
                pages = "395--403",
             keywords = "community composition, drainage, environmental gradient, 
                         floristics, herb, hydrological regime, lowland environment, 
                         precipitation (climatology), soil fertility, soil profile, 
                         understory, Amazonia.",
             abstract = "Amazonian forests harbor a large variety of understory herbs 
                         adapted to areas with different hydrological conditions, ranging 
                         from well-drained to seasonally flooded forests. The presence 
                         versus absence of flooding forms the extremes of a hydrological 
                         gradient, with various intermediate conditions, such as seasonal 
                         soil waterlogged areas, in between. We investigated the 
                         relationship between understory herbs and hydrological conditions 
                         in Central Amazonian forests using eighty-eight 250 × 2 m plots 
                         distributed along a 600-km transect. Hydrological conditions were 
                         determined regionally by precipitation and locally by topographic 
                         conditions based on drainage potential, flooding height and soil 
                         permeability (sand content). Soil cation concentration was used as 
                         a proxy for soil fertility. The floristic dissimilarities among 
                         plots were visualized by Nonmetric Multidimensional Scaling, and 
                         simple and multiple regressions were used to identify the best 
                         predictor of herb species composition. Local drainage potential 
                         was more important in determining herb species composition than 
                         soil fertility or precipitation at non-flooded and flooded sites. 
                         Flooded sites comprised a very distinctive herb species 
                         composition even when the flood height was low (0.3 m). We 
                         conclude that hydrological conditions are the primary constraint 
                         of herb distribution within this flat regional landscape with 
                         moderate amounts of soil fertility variation (0.09-2.280 
                         cmol(+)/kg). Hydrological models that consider local water 
                         conditions explained the largest part of herb species composition. 
                         Therefore, predictions of species distribution based on 
                         large-scale climatic variables may underestimate the favorable 
                         area for understory herbs if the variation on local hydrological 
                         conditions is not considered. © 2014 The Association for Tropical 
                         Biology and Conservation.",
                  doi = "10.1111/btp.12117",
                  url = "http://dx.doi.org/10.1111/btp.12117",
                 issn = "0006-3606 and 1744-7429",
                label = "scopus 2014-11 MoulatletCosRenEmiSch:2014:LoHyCo",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}