Köchy, M. (2016). Progress in Cross-cutting activities in FACCE MACSUR.. Gardermoen (Norway).
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Köchy, M. (2016). MACSUR – Modelling European Agriculture with Climate Change for Food Security.. Bonn (Germany).
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Dalgaard, T., Kjeldsen, C., Meyer-Aurich, A., Özkan, S., Rolinski, S., Köchy, M., et al. (2014). Farming systems models for regional scale impact assessment in Europe – case studies of N-losses and greenhouse gas emissions..
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Braunmiller, K., & Köchy, M. (2013). Grassland datasets (Vol. 1).
Abstract: 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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Braunmiller, K., & Köchy, M. (2013). Background information on Shared Socioeconomic Pathways for use in MACSUR case studies (Vol. 2).
Abstract: This document is intended to aid in the development of regional Representative Agricultural Pathways in Europe for use in MACSUR case studies, especially the regional pilot studies. We present overviews of existing characterisations of RCPs, SSPs, SPAs, RAPs and more detailed descriptions of the scenarios and assumptions relevant for MACSUR. No Label
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