Macrophyte communities correspond to one of the most important components of the Amazon floodplain, actively participating in the ecological and biogeochemical processes of the várzea ecosystem. In addition, these plants are the most variable vegetation type in the Amazon floodplain, as well as the most susceptible to changes in the environmental and climatic conditions in the Amazon wetlands. For this reason, modeling and monitoring methods capable of capturing such variability are necessary, in order to evaluate different scenarios of environmental alteration, and its effects on the ecology and economy of the floodplain. In this context, the presented project aims to develop a spatial dynamic model, capable of simulating the growth and distribution of macrophytes in habitats of the Amazon várzea, as a function of climatic and environmental conditions. To this end, the project will use historical satellite imagery time series from multiple sensors (Radarsat, ALOS Palsar, MODIS, Landsat, CBERS), and a large database of the environmental conditions of the amazon floodplain, for the Curuai Lake region. This region represents one of the main floodplain landscapes in the region, under varying levels of human degradation. This data will be complemented by new field sampling, optimized for the proposed study, and submitted to various dynamic spatial modeling techniques. The expect results will allow for a better understanding of the relationship between macrophyte dynamics and environmental conditions, and the evaluation of possible consequences of climate change and human impacts on these communities, allowing the development of adaptation and conservation strategies for the region.
News published in Agência FAPESP Newsletter about the scholarship: