5 documents found, page 1 of 1
Long-term thermal sensitivity of Earth’s tropical forests
Sullivan, Martin J. P.; Lewis, Simon L.; Affum-Baffoe, Kofi; Castilho, Carolina; Costa, Flávia; Sanchez, Aida Cuni; Ewango, Corneille E. N.The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important p...
Estimating the global conservation status of more than 15,000 Amazonian tree sp...
Steege, Hans Ter; Pitman, Nigel C.A.; Killeen, Timothy J.; Laurance, William F.; Peres, Carlos A.; Guevara, Juan Ernesto; Salomão, Rafael PaivaEstimates of extinction risk for Amazonian plant and animal species are rare and not often incorporated into land-use policy and conservation planning. We overlay spatial distribution models with historical and projected deforestation to show that at least 36% and up to 57% of all Amazonian tree species are likely to qualify as globally threatened under International Union for Conservation of Nature (IUCN) Red ...
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 ...
Variation in stem mortality rates determines patterns of above-ground biomass i...
Johnson, Michelle O.; Galbraith, David R.; Gloor, Manuel E.; Deurwaerder, Hannes de; Guimberteau, Matthieu; Rammig, Anja; Thonicke, KirstenUnderstanding the processes that determine above-ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity [woody net primary productivity (NPP)] and the rate at which carbon is lost through tree mortality. Here, we...
Does soil pyrogenic carbon determine plant functional traits in Amazon Basin fo...
Massi, Klécia G. [UNESP]; Bird, Michael; Marimon, Beatriz S.; Marimon, Ben Hur; Nogueira, Denis S.; Oliveira, Edmar A.; Phillips, Oliver L.Made available in DSpace on 2018-12-11T16:48:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-09-01; National Research Council of Science and Technology; Amazon forests are fire-sensitive ecosystems and consequently fires affect forest structure and composition. For instance, the legacy of past fire regimes may persist through some species and traits that are found due to past fires. In this study, we ...