Large river-floodplain systems are hotspots of biodiversity and ecosystem services but are also used for multiple human activities, making them one of the most threatened ecosystems worldwide. There is wide evidence that reconnecting river channels with their floodplains is an effective measure to increase their multi-functionality, i.e., ecological integrity, habitats for multiple species and the multiple functions and services of river-floodplain systems, although, the selection of promising sites for restoration projects can be a demanding task.
Freshwater biodiversity is declining, despite national and international efforts to manage and protect freshwater ecosystems. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively balance ecological and societal needs. However, this raises the question of how social and ecological objectives can be included in an integrated management plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and ESS supply and demand.
Five new publications related to ARtificial Intelligence for Ecosystem Services (ARIES) applications have been recently published on a special issue of Science of the Total Environment. These publications have been developed by BC3 researchers Ferdinando Villa, Stefano Balbi, Ainhoa Magrach, María Almagro and Javier Mártinez, in collaboration with other researchers from other institutions belonging to the AQUACROSS project
The 2019 event is directed to a new generation of scientists and policy analysts who can effectively use coupled human-environmental models in research, policy and management to address and solve sustainable problems. This year´s event is also intended as an update on the latest developments in the k.LAB modeling software, including key updates to make model coding and reuse more user friendly, targeted for both new participants and those from previous years.
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
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