Kwantificering effecten waterbeheer en klimaat

Ruud Bartholomeus, Mirjam Hack-ten Broeke, Marius Heinen, Martin Mulder, Hans Kros, Rob Ruijtenberg, Han Runhaar & Flip Witte

klimaat, gewasopbrengst, vegetatie, waterhuishouding

WaterVision Agriculture and Nature

climate, crop yield, vegetation, water management.

Both agricultural crop yields and the natural vegetation composition depend largely on the soil moisture conditionsin the root zone. With ongoing climate change, more prolonged dry periods alternate with more intensive rainfall events, which changes soil moisture dynamics.
Water Vision Agriculture and Water Vision Nature are being developed to provide farmers, nature managers and water management authorities with opportunities to spatially quantify the effects of changes in climatic conditions and water management on both current and future crop yields and nature targets. Water Vision Agriculture distinguishes three different causes of crop yield reduction: drought, saline conditions or too wet conditions causing oxygen shortage in the root zone. It is based on the process-based hydrological simulation model SWAP and the crop growth model WOFOST, from which an easily applicable meta-model has been derived. Water Vision Nature uses climate
robust relationships between habitat factors and plant characteristics, to predict the change of successful development of vegetation types and their corresponding conservation value. Additionally, it simulates which nature targets can be achieved by adaptive water management.
Combined application of Water Vision Agriculture and Water Vision Nature will provide insights in possibilities for optimal water management in a region, profitable for both agriculture and nature.

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