The BONDS project will produce a significant contribution to floodplain habitat and inundation mapping at an unprecedented spatiotemporal resolution by combining multiple remote sensing products (optical, lidar and radar sensors) at medium to high resolution and will test a novel remote-sensing-based approach for monitoring phytoplankton biodiversity. The use of environmental eDNA metabarcoding will allow examination of the distribution and relative abundance of phytoplankton, zooplankton and fish in floodplain lakes under different levels of protection. Mapping efforts combined with field work and modelling will enable exploring the combined influence of climate variability, dams, and fisheries management on floodplain forest and fish biodiversity, fisheries yields and service provisions (carbon storage and protein provision to local populations). Exploratory scenarios will be built with different types of stakeholders (e.g. local population, commercial fisheries representatives, fishermen and farmers unions) and decision-makers in view of assessing the efficiency of the co-management fisheries protocol applied in the Juruá region (and Amazonas state) in the context of climate change and hydropower development, and to look at optimal co-management protocols to be applied to the more heavily impacted floodplains of the lower Amazon.
Specific activities for dissemination of the project’s outputs will be implemented, including contribution to GEO BON, GEO Wetlands and GBIF databases. Knowledge transfer and involvement of stakeholders (local community associations, fishermen and farmers unions, land managers) into the research will be promoted through their participation into the construction of the conceptual floodplain socio-ecosystem model that will be implemented as a multi-agent-based communication platform. The latter will be further used to explore scenarios with them to look at solutions to improve management.