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
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Agricultural land use and environmental indicators at 1x1 km grid resolution- the concept of Homogenous Soil Mapping Units
The HSMU or Homogenous Spatial Mapping Units are the georeferenced units for which the different data and indicators of the spatial data set are defined. They define areas inside administrative regions where approxiamte homogeniety according to location factors driving farm mamangement decisions may be assumed as the units are delineated from the following features,
- CORINE land cover, which define regional land cover units
- Administrative borders (NUTS 3), limiting the otherwise discontinuous HSMU in space
- Soil Mapping Units from the Europe Soil Map
- Slope class derived from the digital elevation model
Each HSMU consists of one or several 1×1 km grid cell, not necessarily adjacent. Small HSMU comprising one one or a few 1×1 km cells are found where land cover or bio-physical conditions show a huge spatial variation, whereas very large HSMU are found in some cases where land cover, soil and slope are uniform over a bigger areas, e.g. in the northern part of Finland and Sweden, increasing the efficiency and accuracy in using indicator calculators and bio-physical models.
All features had been first converted to a uniform 1×1 km grid, and where applicable, area weighted average defined. In additional to the delination features, the following parameters had been added to the data set to be used in the statistical estimators and the bio-physical model DNDC:
- Different soil parameter (clay and sand content, soil organic carbon content, ph, packing density
- Long term climatic averages (monthly max and min temperature, solar radiation, rainfall)
- Altitude
More information
Kempen M., Heckelei T. and Britz W.:
A Statistical Approach for Spatial Disaggregation of Crop Production in the EU, in: Arfini F. (editor): Modelling Agricultural Policies: State of the Art and New Challenges, Proceedings of the 89th European Seminar of the European Association of Agricultural Economists (EAAE), Parma, Italy, Februrary 3-5, 2005 (pages 810-830)
Leip, A., Marchi, G., Koeble, R., Kempen, Britz W. and Li, C.:
Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland soil in Europe
Biogeosciences, 5(1): 73-94
Last Updated:Tuesday, October 28, 2008
