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Banse, M.; Köchy, M. |
| Title |
Opportunities for collaboration: MACSUR |
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2013 |
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4th Annual AgMIP Workshop, New York, USA, 2013-10-28 to 2013-10-30 |
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MA @ admin @ |
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2292 |
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Banse, M.; Köchy, M.; Tiffin, R. |
| Title |
MACSUR – A European network of crop, livestock and trade modelling activities for assessing impacts of climate change on food security |
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2013 |
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United Nations Convention to Combat Desertification 2nd Scientific Conference, Bonn, Germany, 2013-04-09 to 2013-04-12 |
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MA @ admin @ |
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2293 |
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Bellocchi, G.; Ma, S.; Köchy, M.; Braunmiller, K. |
| Title |
Datasets classification and criteria for data requirements |
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2013 |
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FACCE MACSUR Reports |
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2 |
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D-L2.1.2 |
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This deliverable focuses on the collation, screening, and consolidation of data for selected grassland sites in Europe and peri-Mediterranean regions. No Label |
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MA @ admin @ |
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2245 |
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Bellocchi, G.; Ma, S.; Köchy, M.; Braunmiller, K. |
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Identified grassland-livestock production systems and related models |
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Report |
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2013 |
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FACCE MACSUR Reports |
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2 |
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D-L2.1.1 |
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This report describes grassland-livestock production systems, as selected for model-basedstudies. A list of grassland models was identified for evaluation against such datasets(WP2) and application at reference farm (WP3) and regions (WP4) across Europe and peri-European countries. No Label |
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2244 |
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Braunmiller, K.; Köchy, M. |
| Title |
Grassland datasets |
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2013 |
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FACCE MACSUR Reports |
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1 |
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D-L1.3 |
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In the MACSUR project, there are several grassland models in use that were designed for and adjusted with data from different climatic regions. To be able to run these modelsfor a wide geographical range, there is a need to validate and calibrate them on the same basis.Therefore, a high-quality dataset is needed, which includes a wide range of climatic conditions, management systems and other variables.Through this search 23 grassland related institutes from eleven countries were found and contacted, where 12 of them responded to the request. Nine institutes from cooler (e.g. Finland) and warmer regions (e.g. Israel) are now willing to provide their experimental data. One contributor is even planning to join the project bringing its own grassland model.These new grassland datasets cover in addition to already available ones (Fig. 1) a wide range of climatic regions for a substantiated calibration and validation of the models. Data supplied by the institutes have been checked for internal consistency and cast into a common format. The data have been passed on to WP L2 (Model intercomparison on climate change in relation to livestock and grassland). No Label |
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MA @ admin @ |
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2258 |
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