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2099Towards high water productivity in agriculture based on multi-scale modellingTowards high water productivity in agriculture based on multi-scale modelling01/01/2019 00:00:0031/12/2020 00:00:00laufendcurrentDirektorat,Forschungsplattform „Modelle & Simulation“,Programmbereich 3 „Synthese der Landschaftsforschung“Directorate,Research Platform "Models & Simulation",Research Area 3 "Landscape Research Synthesis"x1x7x5x32xEwert, Frank; Kamali, Bahareh; Webber, Heidix2005x2299x2302x<div class='ntm_DIR'>DIR</div><div class='ntm_FPM'>FPM</div><div class='ntm_PB3'>PB3</div>  2019 Towards high water productivity in agriculture based on multi-scale modelling Towards high water productivity in agriculture based on multi-scale modelling Direktorat,Forschungsplattform „Modelle & Simulation“,Programmbereich 3 „Synthese der Landschaftsforschung“ Ewert, Frank; Kamali, Bahareh; Webber, Heidi Drittmittel Directorate,Research Platform "Models & Simulation",Research Area 3 "Landscape Research Synthesis" current laufend <div class="ExternalClass4951C155FD2A47C78955B05244FFA8CA"><p>​<strong><span style="font-size&#58;11pt;font-family&#58;arial, sans-serif;">The first objective of the project is to assess the interactions between data aggregation methods and model complexity (particularly soil, water demand and irrigation modules) for irrigated conditions in two case studies (potato in Tasmania, Australia and maize in Andalusia, Spain). The second objective of this project is to quantify the regional drivers (climatic, water supply, socio-economic, etc.) of crop yield variability of irrigated agriculture across regions in diverse Australian agricultural systems, as well as a case study in southern Spain.</span></strong></p></div> <div class="ExternalClass704D4F3EF2284ABBA40A2569C768CAA3"><p>​<strong><span style="font-size&#58;11pt;font-family&#58;arial, sans-serif;">The first objective of the project is to assess the interactions between data aggregation methods and model complexity (particularly soil, water demand and irrigation modules) for irrigated conditions in two case studies (potato in Tasmania, Australia and maize in Andalusia, Spain). The second objective of this project is to quantify the regional drivers (climatic, water supply, socio-economic, etc.) of crop yield variability of irrigated agriculture across regions in diverse Australian agricultural systems, as well as a case study in southern Spain.</span></strong></p></div> <div class="ExternalClass3288DBC4-4285-4EB1-9B2C-5BA72118C3C8"></div> <div class="ExternalClass8F42C3F3-9980-4A18-BE32-974D1B819A55"><ul><li>Agricultural Systems Centre of the Tasmanian Institute of Agriculture</li></ul></div> <div class="ExternalClassE6E8EA6D-6A48-498D-ACED-ECBC451A94DB"><ul><li>DAAD - Deutscher Akademischer Austauschdienst</li></ul></div> <div class="ExternalClass16F7E896-376E-44B7-A5E1-B0C946D63EBA"></div> <div class="ExternalClassF7834263-76DA-4FD0-9AE0-91144C6C97F3"><ul><li>Dr Jonathan Ojeda</li><li>DR. Ehsan Eyshi Rezaei</li><li>Prof Caroline Mohammed </li><li>PROF. DR. Stefan Siebert</li></ul></div><div class="ExternalClass4951C155FD2A47C78955B05244FFA8CA"><p>?<strong><span style="font-size&#58;11pt;font-family&#58;arial, sans-serif;">The first objective of the project is to assess the interactions between data aggregation methods and model complexity (particularly soil, water demand and irrigation modules) for irrigated conditions in two case studies (potato in Tasmania, Australia and maize in Andalusia, Spain). The second objective of this project is to quantify the regional drivers (climatic, water supply, socio-economic, etc.) of crop yield variability of irrigated agriculture across regions in diverse Australian agricultural systems, as well as a case study in southern Spain.</span></strong></p></div><div class="ExternalClass704D4F3EF2284ABBA40A2569C768CAA3"><p>?<strong><span style="font-size&#58;11pt;font-family&#58;arial, sans-serif;">The first objective of the project is to assess the interactions between data aggregation methods and model complexity (particularly soil, water demand and irrigation modules) for irrigated conditions in two case studies (potato in Tasmania, Australia and maize in Andalusia, Spain). The second objective of this project is to quantify the regional drivers (climatic, water supply, socio-economic, etc.) of crop yield variability of irrigated agriculture across regions in diverse Australian agricultural systems, as well as a case study in southern Spain.</span></strong></p></div>  <div class="ExternalClassFDFC58E4-3E43-4228-876E-C38D35129C53">Prof. Dr. Frank Ewert; Dr. Bahareh Kamali; Heidi Webber</div>Kamali, Bahareh<div class="ExternalClassDBED4DEE-975F-456C-9FC8-B68A669E30AF">Dr. Bahareh Kamali</a></div>   <div class="ExternalClass8F42C3F3-9980-4A18-BE32-974D1B819A55"><ul><li>Agricultural Systems Centre of the Tasmanian Institute of Agriculture</li></ul></div>x2803x<div class="ExternalClassE6E8EA6D-6A48-498D-ACED-ECBC451A94DB"><ul><li>DAAD - Deutscher Akademischer Austauschdienst</li></ul></div>   <div class="ExternalClassF7834263-76DA-4FD0-9AE0-91144C6C97F3"><ul><li>Dr Jonathan Ojeda</li><li>DR. Ehsan Eyshi Rezaei</li><li>Prof Caroline Mohammed </li><li>PROF. DR. Stefan Siebert</li></ul></div>22 <div class="ExternalClassA487A116-F163-43AF-916C-B916E52ED649"><ul><li>Integrierte Landschaftsmodellierung</li></ul></div><div class="ExternalClass94E6E55A-6EA5-47F4-B16E-798E989FFA22"><ul><li>Integrated Landscape Modelling</li></ul></div>
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