4 documents found, page 1 of 1
Biased-corrected richness estimates for the Amazonian tree flora
ter Steege, H.; Prado, Paulo I.; Lima, Renato A.Fde; Pos, Edwin T.; Coelho, Luiz Souza de; Lima Filho, Diógenes de Andrade; Salomão, Rafael PaivaAmazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals,...
Seasonal drought limits tree species across the Neotropics
Esquivel-Muelbert, Adriane; Baker, Timothy R.; Dexter, Kyle Graham; Lewis, Simon L.; ter Steege, H.; Lopez-Gonzalez, Gabriela; Monteagudo-Mendoza, AbelWithin the tropics, the species richness of tree communities is strongly and positively associated with precipitation. Previous research has suggested that this macroecological pattern is driven by the negative effect of water-stress on the physiological processes of most tree species. This implies that the range limits of taxa are defined by their ability to occur under dry conditions, and thus in terms of spe...
Species Distribution Modelling: Contrasting presence-only models with plot abun...
Gomes, Vitor H.F.; IJff, Stéphanie D.; Raes, Niels; Amaral, Iêda Leão do; Salomão, Rafael Paiva; Coelho, Luiz Souza deSpecies distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on ...
Local spatial structure of forest biomass and its consequences for remote sensi...
Réjou-Méchain, Maxime; Muller-Landau, Helene C.; Detto, Matteo; Thomas, Sean C.; Le-Toan, Thuy; Saatchi, Sassan S.; Barreto-Silva, Juan SebastianAdvances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of ...