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Amazon tree dominance across forest strata

Draper, Frederick C.; Costa, Flavia R. C.; Arellano, Gabriel; Phillips, Oliver L.; Duque, Alvaro; Macía, Manuel J.; ter Steege, Hans; Asner, Gregory P.

Made available in DSpace on 2021-06-25T10:27:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized...

Date: 2021   |   Origin: Oasisbr

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...


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 Paiva

Amazonian 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,...

Date: 2020   |   Origin: Oasisbr

Evolutionary heritage influences amazon tree ecology

Souza, Fernanda Coelho de; Dexter, Kyle Graham; Phillips, Oliver L.; Brienen, Roel J.W.; Chave, Jérôme; Galbraith, David R.; Lopez-Gonzalez, Gabriela

Lineages tend to retain ecological characteristics of their ancestors through time. However, for some traits, selection during evolutionary history may have also played a role in determining trait values. To address the relative importance of these processes requires large-scale quantification of traits and evolutionary relationships among species. The Amazonian tree flora comprises a high diversity of angiospe...

Date: 2020   |   Origin: Oasisbr

Hyperdominance in Amazonian forest carbon cycling

Fauset, Sophie; Johnson, Michelle O.; Gloor, Manuel U.; Baker, Timothy R.; Monteagudo M, Abel; Brienen, Roel J.W.; Feldpausch, Ted R.

While Amazonian forests are extraordinarily diverse, the abundance of trees is skewed strongly towards relatively few â € hyperdominantâ €™ species. In addition to their diversity, Amazonian trees are a key component of the global carbon cycle, assimilating and storing more carbon than any other ecosystem on Earth. Here we ask, using a unique data set of 530 forest plots, if the functions of storing and produci...

Date: 2020   |   Origin: Oasisbr

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 Paiva

Estimates 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 ...

Date: 2020   |   Origin: Oasisbr

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 de

Species 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 ...

Date: 2020   |   Origin: Oasisbr

Compositional response of Amazon forests to climate change

Esquivel-Muelbert, Adriane; Baker, Timothy R.; Dexter, Kyle Graham; Lewis, Simon L.; Brienen, Roel J.W.; Feldpausch, Ted R.; Lloyd, Jon

Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate-induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating ...

Date: 2020   |   Origin: Oasisbr

Rarity of monodominance in hyperdiverse Amazonian forests

ter Steege, H.; Henkel, Terry W.; Helal, Nora; Marimon, Beatriz Schwantes; Marimon Júnior, Ben Hur; Huth, Andreas; Groeneveld, Jürgen J.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such “monodominant” forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric ...

Date: 2020   |   Origin: Oasisbr

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, Kirsten

Understanding 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...

Date: 2020   |   Origin: Oasisbr

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