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- High Nature Farmland index
Main Contributors: Maria-Lusia Parrachini, Phillippe Pointereau, Wolfgang Britz
Intermediate results for Poland
The High Nature Farmland index tries to espress in one single number the “nature likeness” of farming practises. High index values indicate a rich crop rotation or a high share of grass land combined with a low intensity of farming, generally assumed to be beneficial for the environment, by allowing for high bio-diversity and reducing harmful impacts on the environment. The preliminary index, still in development, is the built from the following elements:
- Arable crop index
- The arable crop index takes into accound firstly a slightly modified Shannon index measuring the diversity of shares of annual crops.. The modification ensures index values between 0 and 1. High index values (close to 1) indicate a combination of small shares of many crops. The index drops if the number of the crops is reduced, or the rotation is dominated by large share of a few crops. It takes on the value zero in case of monoculture. The second part of the index is based on the average mineral nitrogen fertilization application in kg/ha. It is defined to be close to 1 with doses at or or below 20 kg per ha and drops non-linearly to zero for doses for 200 kg per ha or above. The overall index for the arable crop part is derived by multiplying the two index elements.
- Permanent crop index
- The permanent crop index uses only the mineral nitrogen fertilizer dose to define a sub-index between 0 and 1 as explained for the arable crops.
- Grass land index
- The grass land index takes into the ruminant stocking density, calculated per fodder area, and takes on values between 0 and 1.
The overall index is derived by adding the three sub-indices (arable, permanent, grass land), weigthed with their share on total agricultural area. The methodology is based on a study conducted by Philippe Pointerau from Solagro, Toulouse, France.
