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The Latent Dirichlet Allocation model with covariates (LDAcov): A case study on the effect of fire on species composition in Amazonian forests

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...

Forest fires in the Amazon: short-term individual benefits versus long-term societal costs

Forest fires in the Amazon: short-term individual benefits versus long-term societal costs

Fire is the least expensive and most broadly used method of clearing land and converting forest biomass into soil nutrients for pastures and crops in the tropics. Fire is also used to control weeds and to reinvigorate palatable pasture grasses. Even if beneficial for farmers over the short run, intensification of deforestation and burning impose long-term costs on individuals and society.