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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

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...

Why ‘blended finance’ could help transitions to sustainable landscapes: Lessons from the Unlocking Forest Finance project

International policy commitments highlight the importance of balancing agricultural development with conservation of tropical forest landscapes for climate change mitigation (UNFCCC, 2015), biodiversity conservation (CBD, 2010), and generally sustainable...

Testing the Amazon savannization hypothesis: fire effects on invasion of a neotropical forest by native cerrado and exotic pasture grasses

Changes in climate and land use that interact synergistically to increase fire frequencies and intensities in tropical regions are predicted to drive forests to new grass-dominated stable states. To reveal the mechanisms for such a transition, we established 50 ha...