The EU H2020 project DRYvER (Securing biodiversity, functional integrity and ecosystem services in DRYing riVER networks, www.dryver.eu, @DRYVER_2020) models the response of carbon-related ecosystem functions in DRNs, namely greenhouse gas emissions, and underlying processes such as decomposition of terrestrially derived dissolved and particulate organic carbon, ecosystem respiration and gross primary production. To achieve a mechanistic description of ecosystem functioning in DRNs with predictive capacity, DRYvER exploits a dynamic meta-system framework that accounts for the dynamics of organic carbon resources, their transport and processing, along with the relationships with biodiversity and particular key species.
The aim of the DRYvER is to collect, analyse and model data from nine case studies
in Europe and South America to create a novel global meta-system approach that incorporates
hydrology, socio-economics, ecology and biogeochemistry. Another goal of DRYvER is to
develop strategies, tools and recommendations for adaptive management of river networks.
Working in collaboration with resource managers and citizens, the DRYvER team plans to codevelop new strategies to mitigate and adapt to the effects of climate change on these networks
by integrating quantitative and qualitative perspectives, including nature-based solutions with
a strong socio-economic and legislative component. DRYvER’s findings, which should be
available in 2024, will contribute to meeting the objectives of the Paris agreement and put
Europe at the forefront of climate change research.
2 post-doc positions are open within the DRYvER project, whose descriptions are here and there.
The first one will develop a spatially-explicit dynamic meta-ecosystem model for drying river networks that is capable reflecting space-time variability in biodiversity patterns, organic matter resource flows and C-related ecological functions in a fragmented, dendritic context. Opened for 18 months at INRAE, Lyon, France it can be followed by an 18 months-position based at ICRA, Catalonia, Spain, to calibrate the model with empirical data from 6 case studies across Europe in an upscaling perspective to derive climate-change scenarios at the European scale.
The second one will propose a methodological framework to identify and assess the contribution of abiotic and biotic controls on GHG emissions from drying river networks. This framework will be applied to empirical data collected across 6 case studies in Europe to produce climate-driven scenarios at the European scale. The position is opened for 24 months and will be based at the Laboratory of Alpine Ecology, Grenoble Alpes University, France.
Both will be based in a very friendly and highly-collaborative environment. Review of applications will begin in December 2020 / January 2021 and will continue until the position is filled.
The first one will develop a spatially-explicit dynamic meta-ecosystem model for drying river networks that is capable reflecting space-time variability in biodiversity patterns, organic matter resource flows and C-related ecological functions in a fragmented, dendritic context. Opened for 18 months at INRAE, Lyon, France it can be followed by an 18 months-position based at ICRA, Catalonia, Spain, to calibrate the model with empirical data from 6 case studies across Europe in an upscaling perspective to derive climate-change scenarios at the European scale.
The second one will propose a methodological framework to identify and assess the contribution of abiotic and biotic controls on GHG emissions from drying river networks. This framework will be applied to empirical data collected across 6 case studies in Europe to produce climate-driven scenarios at the European scale. The position is opened for 24 months and will be based at the Laboratory of Alpine Ecology, Grenoble Alpes University, France.
Both will be based in a very friendly and highly-collaborative environment. Review of applications will begin in December 2020 / January 2021 and will continue until the position is filled.
For more information on how to apply go to the position's description (see above)
