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Code: | 773903 (Shui) |
Department's Principal Investigator: | prof. Dr. Ing. Tomáš Dostál, |
Co-operation: | CSIC Spain THE AGRICULTURAL RESEARCH ORGANISATION OF ISRAEL – THE VOLCANI CENTRE BEIJING FORESTRY UNIVERSITY China BEIJING NORMAL UNIVERSITY China UNIVERSITAET FUER BODENKULTUR WIEN Austria CHINA AGRICULTURAL UNIVERSITY China CHANGJIANG RIVER SCIENTIFIC RESEARCH INSTITUTE China HONG KONG BAPTIST UNIVERSITY Hong Kong FUJIAN AGRICULTURE AND FORESTRY UNIVERSITY China FONDAZIONE PER LO SVILUPPO SOSTENIBILE DEL MEDITERRANEO Italy KATHOLIEKE UNIVERSITEIT LEUVEN Belgium NANJING AGRICULTURAL UNIVERSITY China NORTHWEST A&F UNIVERSITY China TERRA NOVA Greece TERRAVISION LAB LTD Israel UNIVERSIDAD DE CORDOBA Spain GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS Germany LANCASTER UNIVERSITY United Kingdom |
Start: | 2018-09-01 |
End: | 2022-08-31 |
Research focus: | SHui is conceived as a network integrating long-term experiments of its 19 academic and SME partners across different environmental conditions and cropping systems in the EU and China. It provides a platform for research on soil-water resources management under water scarce conditions, to better understand the linkages between agricultural soil hydrology and sustainability and for a systematic assessment of adaptation and mitigation methods. It will develop and implement new strategies to increase water use efficiency and yield, based on sustainable intensification through integrated use of soil and water across different spatial scales. At farm level, this includes digital agriculture solutions integrating in situ and remote sensors and simulation models to exploit an improved understanding of the relationship between crop yield variability and soil hydraulic properties, optimizing circular approaches to re-use water and using waste water sources. These technical approaches are reliant on optimum data utilization and transdisciplinary research with multiple stakeholders. At regional scales, the aggregation of biophysical and socioeconomic variables in dynamic models will evaluate the impact of different policy strategies, to support decision makers to evaluate different scenarios of land-use dynamics, economic context and current and future climate in EU and China, including assessments of water and carbon footprint. |