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HS2.2.10 | Coupling next-generation sensors with advanced modelling approaches to assess functioning of agro-ecosystems from plot to catchment scale
EDI
Coupling next-generation sensors with advanced modelling approaches to assess functioning of agro-ecosystems from plot to catchment scale
Convener: Paolo Nasta | Co-conveners: Heye Bogena, Isabelle Braud, Roland Baatz
In the last decades, agro-ecosystems (i.e., arable land and grassland, orchards, forest, agro-forestry, urban fabric) have been significantly impacted by unfavorable extreme occurrences induced by global warming like floods and droughts, which have detrimental effects on the environment, the economy, and society. Optimal management of water resources requires reliable scenario-based modelling approaches to sustain appropriate, quick-response, and cost-effective adaptation options. The prediction performance of process-oriented eco-hydrological models is largely reliant on the quantity and quality of input data. The rapid technological advancement and integration of next-generation sensors (from ground-based to remote-based) has already revolutionized hydrological science and may improve the performance of model predictions from plot to catchment scale and beyond. Ultimately, hydrology entered the era of big data, machine learning, the Internet of Things, and digital twins. Therefore, we strive for concerted and dedicated action in the field of hydrology to harmonize hydrological data retrieval, encourage the design of cross-catchment experiments, and facilitate the scientific community’s access to the associated data. The following subjects will be covered to address these topics:
• New-generation sensor networks to monitor and track state variables, water fluxes, and understand the interactions and feedbacks between surface and groundwater interfaces over different spatial scales (from plot to catchment scale);
• Development of reliable modelling approaches to predict state variables, water fluxes at various spatial scales under extreme and adverse projected climate conditions;
• Development of ecosystem vulnerability and resilience indicators;
• Initiatives to build extensive research infrastructure networks to exploit the most recent hydrology discoveries.