-
water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
-
the effectiveness of the Payment for Environmental Services program in preventing illegal harvesting; (C) Modeling scenarios considering management strategies, population growth, and institutional actions; (D
-
, Evolution and Diversity, Environmental Sciences, Biodiversity, or a related field, with experience in freshwater fish ecology, taxonomic and functional diversity, statistical modeling in R, database
-
the Education and Knowledge Dissemination axis. The project aims to investigate and bring visibility to women-led movements that resist the predatory models of large-scale wind energy project installation in