Accelerating Equitable Adaptation Strategies in the Amazon Amid Climate Change
Protecting and adapting vulnerable Amazonian peoples and communities to climate change, although costly, is the most economical way to prevent environmental collapse and to shield Brazil from even greater losses resulting from the climate crisis, warns a policy...
Drought-driven wildfire impacts on structure and dynamics in a wet Central Amazonian forest
While the climate and human-induced forest degradation is increasing in the Amazon, fire impacts on forest dynamics remain understudied in the wetter regions of the basin, which are susceptible to large wildfires only during extreme droughts. To address this gap,...
Burning in southwestern Brazilian Amazonia, 2016–2019
Fire is one of the most powerful modifiers of the Amazonian landscape and knowledge about its drivers is needed for planning control and suppression. A plethora of factors may play a role in the annual dynamics of fire frequency, spanning the biophysical, climatic,...
Quantitative reconstruction of vegetation cover from modern pollen rain in the Cerrado biome of Brazil
Fossil pollen assemblages are an important tool to reconstruct vegetation variability at centennial and millennial-scales. However, in the Cerrado biome of Brazil, the influence of the local vegetation, the heterogeneity of the landscape and the accuracy of pollen...
Nitric and nitrous oxide fluxes from intensifying crop agriculture in the seasonally dry tropical Amazon–Cerrado border region
apid expansion and intensification of crop agriculture in the tropics may accelerate ecosystem losses of reactive nitrogen (N). We quantified emissions of nitric oxide (NO) and nitrous oxide (N2O) in forest, single-cropped soybean [Glycine max (L.) Merr.], and...
Riparian forests buffer the negative effects of cropland on macroinvertebrate diversity in lowland Amazonian streams
Riparian forests regulate stream ecosystems and biodiversity. Therefore, changes to riparian structure may threaten stream ecosystem function by triggering taxonomic and functional changes to aquatic communities. Because macroinvertebrate assemblages are sensitive...
The Latent Dirichlet Allocation model with covariates (LDAcov): A case study on the effect of fire on species composition in Amazonian forests
Understanding and predicting the effect of global change phenomena on biodiversity is challenging given that biodiversity data are highly multivariate, containing information from tens to hundreds of species in any given location and time. The Latent Dirichlet...