Greenhouse gas (GHG) emissions from agriculture together with forestry (including land-use changes (LUC)) are responsible for nearly 30% of global anthropogenic emissions (IPCC, 2007), but the mitigation potential of these sectors is significant.
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...