Skip Ribbon Commands
Skip to main content
Suche
Breadcrumb Navigation

Project Details

Hauptinhalt der Seite
idTitel_deuTitel_engProjekt_StartProjekt_EndeProjektstatusProjektstatus_enZALF_InstituteZALF_Institute_enIdxiZALF_PersonenIdxpLabelDetailsHomepageStartjahrSuchfeldZielsetzung_deuZielsetzung_engZALF_Institute_htmlZALF_Istitute_ENG_htmlZALF_Personen_htmlProjektleiterProjekt_Leiter_htmlProgrammbereich_htmlProgrammbereich_eng_htmlIdx_ProgrambereichProjektpartner_htmlIdx_ProjektpartnerFoerderer_htmlSchlagworteProjekttraegerProjekttraeger_htmlProjektmitarbeiter_extern_htmlProjektstatus_SortProjektstatus_en_SortAnlagenBereiche_ZALF_deBereiche_ZALF_en
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 00:00:00abgeschlossencompletedDirektorat,Programmbereich 3 „Agrarlandschaftssysteme“Directorate,Research Area 3 „Agricultural Landscape Systems“x1x5x32xEwert, Frank; Kamali, Bahareh; Webber, Heidix2005x2299x2302x<div class='ntm_DIR'>DIR</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,Programmbereich 3 „Agrarlandschaftssysteme“ Ewert, Frank; Kamali, Bahareh; Webber, Heidi Drittmittel Directorate,Research Area 3 „Agricultural Landscape Systems“ completed abgeschlossen <div class="ExternalClass4951C155FD2A47C78955B05244FFA8CA"><p>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.</p></div> <div class="ExternalClass704D4F3EF2284ABBA40A2569C768CAA3"><p>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.​<br></p></div> PPP Australien 2019 <div class="ExternalClassDA111E83-B14B-4864-9D5B-47BD99D71C09"></div> <div class="ExternalClassE02E7649-F666-44AF-B2FA-45089C1901C7"><ul><li>Agricultural Systems Centre of the Tasmanian Institute of Agriculture</li></ul></div> <div class="ExternalClass3B8E2CE5-BD37-4938-8E1B-0E966EAAD8B7"><ul><li>DAAD - Deutscher Akademischer Austauschdienst</li></ul></div> <div class="ExternalClassA096DEEB-562C-4B9A-B8B0-AA6D72F62E8F"></div> <div class="ExternalClass5C55C39B-7DAF-4C79-B71C-960B28716D00"><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>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.</p></div><div class="ExternalClass704D4F3EF2284ABBA40A2569C768CAA3"><p>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.​<br></p></div>  <div class="ExternalClass1E5EFA43-7D01-4214-8768-A9E1A1F4F2AB">Prof. Dr. Frank Ewert; Dr. Bahareh Kamali; Prof. Dr. Heidi Webber</div>Kamali, Bahareh<div class="ExternalClass14DDCF33-9EE8-45FE-9AE1-603836AD1CE0">Dr. Bahareh Kamali</a></div>   <div class="ExternalClassE02E7649-F666-44AF-B2FA-45089C1901C7"><ul><li>Agricultural Systems Centre of the Tasmanian Institute of Agriculture</li></ul></div>x2803x<div class="ExternalClass3B8E2CE5-BD37-4938-8E1B-0E966EAAD8B7"><ul><li>DAAD - Deutscher Akademischer Austauschdienst</li></ul></div>   <div class="ExternalClass5C55C39B-7DAF-4C79-B71C-960B28716D00"><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>33 <div class="ExternalClass01A8EF60-0425-4A98-B786-3D300A1FD383"><ul><li>Landschaftsmodellierung</li></ul></div><div class="ExternalClass42F6DE3C-8F85-4C09-8DC4-680436BC9878"><ul><li>Landscape Modelling</li></ul></div>
Fusszeile der Seite
Wordpress
YouTube
Twitter
© Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Müncheberg

Funded by:

BMEL logo
MWFK logo