9 documents found, page 1 of 1

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Taking the pulse of Earth's tropical forests using networks of highly distribut...

Blundo, Cecilia; Carilla, Julieta; Grau, Ricardo; Malizia, Agustina; Malizia, Lucio; Osinaga-Acosta, Oriana; Bird, Michael; Bradford, Matt

Made available in DSpace on 2021-06-25T11:16:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Agence Nationale Des Parcs Nationaux; Centre for International Forestry Research; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); David and Lucile Packard Foundation; European Space Agency; Leverhulme Trust; Gordon and Betty Moore Foundation; Fundação de Amparo à Pesquisa ...

Date: 2021   |   Origin: Oasisbr

Rarity of monodominance in hyperdiverse Amazonian forests

ter Steege, Hans; Henkel, Terry W.; Helal, Nora; Marimon, Beatriz S.; Marimon-Junior, Ben Hur; Huth, Andreas; Groeneveld, Jürgen; Sabatier, Daniel

Made available in DSpace on 2020-12-12T01:40:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-12-01; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); 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 sam...

Date: 2020   |   Origin: Oasisbr

Ecosystem heterogeneity determines the ecological resilience of the Amazon to c...

Levine, Naomi Marcil; Zhang, Ke; Longo, Marcos; Baccini, Alessandro; Phillips, Oliver L.; Lewis, Simon L.; Alvarez, Esteban

Amazon forests, which store ∼50% of tropical forest carbon and play a vital role in global water, energy, and carbon cycling, are predicted to experience both longer and more intense dry seasons by the end of the 21st century. However, the climate sensitivity of this ecosystem remains uncertain: several studies have predicted large-scale dieback of the Amazon, whereas several more recent studies predict that th...

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

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

The Forest Observation System, building a global reference dataset for remote s...

Dmitry, Schepaschenko,; Hérault, Bruno; F., Osipov, Andrey; Stephan, Pietsch,; Maureen, Playfair,; John, Poulsen,; G., Radchenko, Vladimir

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

Species Distribution Modelling: Contrasting presence-only models with plot abun...

Gomes, Vitor H.F.; Ijff, Stéphanie D.; Raes, Niels; Amaral, Iêda Leão; Salomão, Rafael P.; Coelho, Luiz De Souza; Matos, Francisca Dionízia De Almeida

Made available in DSpace on 2018-12-11T17:17:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-12-01; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Ministério da Ciência, Tecnologia e Inovação; Ministério da Educação; Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only S...

Date: 2018   |   Origin: Oasisbr

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