Overview
- Introductory CAPRI Training Session and GAMS Tutorial Announcement We are thrilled to announce that this year's Introductory CAPRI Training Session will take place from 23 to 26 September 2024. In addition, we are offering a voluntary GAMS tutorial for those with no prior experience with the GAMS modeling language, scheduled from 27 to 30 August 2024. To participate in the course, please register here. Please note that completing a self-study tutorial is a prerequisite for participating in the course. We look forward to your participation!
older News:
- CAPRI Developer Meeting 2024 The Capri Developer Meeting 2024 will take place on the 27th-28th February in Berlin (on the Campus Nord of the Humboldt University; Hannoversche Straße 27, 10115 Berlin. Haus 12. (Room 2.01)). For further information please contact: davide.pignotti@thuenen.de. The aim of the CAPRI Advanced Training Session (Developer Meeting) is to organize knowledge transfer between developers, experienced users and other participants in the form of presentations on various new developments in CAPRI. Participants will be informed about the relevance, underlying theory, data and technical implementation and will have the opportunity to discuss the new modules. Here you can find the agenda. (last update: 23/02/24)
- GAMS pre-course as part of the CAPRI online Training Session 2023 successfully completed!!! The GAMS beginners course took place from 6th-8th September. In three days, 15-20 participants learned the basics of the mathematical programming language GAMS and how it can be used to describe the supply side of CAPRI using a didactic model. (last update: 11/09/23)
- Maintenance release 2.7 and associated results are available for download. The release fixes some market model problems and uses the “new” feed distribution by default. Get the new release from this page
Impressum
Inhaltlich Verantwortlicher 10 Absatz 3 MDStV: Alexander Gocht, Bundesallee 50, D-38116 Braunschweig und Heinz-Peter Witzke, Nussallee 21, D-53115 Bonn Haftungshinweis Trotz sorgfältiger inhaltlicher Kontrolle übernehmen wir keine Haftung für die Inhalte externer Links. Für den Inhalt der verlinkten Seiten sind ausschließlich deren Betreiber verantwortlich.
Agricultural land use and environmental indicators at 1x1 km grid resolution- Yields and Irrigation share
Main Contributors: Wolfgang Britz and Gunter Wriedt
GIS processing of MARS yields: Renate Koble and Giulio Marchi
The crop yields are estimated based on estimates of water limited and non-water limited yields, courtesy of the JRC's MARS project, and per grid cell reported as the average of the water limited yield times unity minus the estimated irrigation share for that crop in the pixel cluster plus the non-water limited yields times the estimated irrigation share. A statistical estimator ensures that the average yields as reported in regional agricultural statistics from Eurostat are recovered.
The irrigation shares and yields per crop and 1×1 km cell cluster are statistically estimated based on a Highest Posterior Density estimator, which ensures the following conditions:
- The total irrigated area at NUTSIII/NUTSII region reported in the 1999 Farm Structure Survey is recovered
- The area weighted average yield per 1×1 km grid cell and crop is identical to the yield found in regional statistics
- Average yield per 1×1 km grid cell and crop are a weighted average of the non-irrigated and irrigated potential yields from MARS, multiplied with an identical scaling factor
Given the fact that there are more variables to estimate (irrigation shares per crop and HSMU, scaling factors for yields per region), the statistical estimator picks the most probable combination based on minimizing deviations from given information:
- The reported or average irrigation shares at NUTS II level for selected crops. Where no shares had been reported, those had been estimated based on regression models based the reported average irrigation shares, and using climate data as explanatory variables.
- The average irrigation shares per HSMU, defined from the global irrigation map of FAO
- A preferred scaling factor of unity for the crop yields
More information
Britz W. and Wriedt G.:
Pan-European Estimation of crop specific yields and irrigation shares at 1x1 km grid, JRC, 2007 (pdf, foils)
Last Updated:Tuesday, October 28, 2008
