UFJF - Universidade Federal de Juiz de Fora

Climate change and biodiversity in lakes of the Amazon basin: how to promote ecological and economic sustainability

Data: 10 de November de 2016

   Clim-FABIAM is a research project that benefits from a multidisciplinary partnership between a French and a Brazilian team. It proposes the study of aquatic biodiversity, especially planktonic communities that indicates environmental change, as well of the land and its dynamics in response to environmental changes.

   The region of interest is the floodplains located along the Solimões-Amazonas corridor of Tabatinga (border betwenn Colombia, Peru and Brazil) to Santarém (Pará, Brazil), with an estimated area of ​​90,000 km2. This region includes three study sites distributed from upstream- downstream, whose study in terms of biology and meteorology is underway as part of other programs involving the Clim-FABIAM consortium.

   The Amazonian floodplains are highly productive ecosystems and biodiversity hotspots. These resources are controlled mainly by the flood dynamics of the rivers and also by the rhythm and practices of the local population. Environmental changes have direct consequences on the dynamics of river-plain flood systems that threaten biodiversity.

   Clim-FABIAM will provide spatial indicators of terrestrial and aquatic biodiversity and tools to monitor its dynamics by combining satellite data and hydrological modeling in situ-based multi-agent modeling (ABM) practices. The local population, as well as government officials and local institutions, will be studied at different locations throughout the area of ​​interest to characterize the knowledge of the environment, their perceptions changes, their vision of the future and how they plan to adapt.

   Through the ComMod methodological approach, this information will be used to develop ABMs, to understand the strategy of occupation and exploitation of resources and how this behavior affects biodiversity. These models will be used to explore different development scenarios based on hydrological conditions deduced from regional climate simulations.


Fabio Roland | Coordinator

Luciana de Oliveira Vidal

Marie Paule Bonnet