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Author Köchy, M.; Jorgenson, J.; Braunmiller, K. url  openurl
  Title (down) Overview of case studies Type Report
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 6 Issue Pages D-H2.1  
  Keywords  
  Abstract MACSUR comprises 18 regional case studies for analysing the effects of climate change on agriculture with integrated inter-disciplinary models. Three case studies in Finland, Austria, and Italy have been selected as pilot studies because of their advancement in integration and representation of European farming systems and regions. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2116  
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Author Banse, M.; Köchy, M. openurl 
  Title (down) Opportunities for collaboration: MACSUR Type Conference Article
  Year 2013 Publication Abbreviated Journal  
  Volume Issue Pages  
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  Area Expedition Conference 4th Annual AgMIP Workshop, New York, USA, 2013-10-28 to 2013-10-30  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2292  
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Author Sándor, R.; Barcza, Z.; Acutis, M.; Doro, L.; Hidy, D.; Köchy, M.; Minet, J.; Lellei-Kovács, E.; Ma, S.; Perego, A.; Rolinski, S.; Ruget, F.; Sanna, M.; Seddaiu, G.; Wu, L.; Bellocchi, G. url  doi
openurl 
  Title (down) Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance Type Journal Article
  Year 2016 Publication European Journal of Agronomy Abbreviated Journal European Journal of Agronomy  
  Volume Issue Pages  
  Keywords Biomass; Grasslands; Modelling; Multi-model ensemble; Soil processes  
  Abstract • We simulate biomass, soil water content (SWC) and temperature (ST) in grasslands. • We compare nine models to the multi-model median (MMM) at nine sites. • With model calibration, we obtain satisfactory estimates of ST, less of SWC and biomass. • We observe discrepancies across models in the simulation of grassland processes. • We improve performance with multi-model approach. This study presents results from a major grassland model intercomparison exercise, and highlights the main challenges faced in the implementation of a multi-model ensemble prediction system in grasslands. Nine, independently developed simulation models linking climate, soil, vegetation and management to grassland biogeochemical cycles and production were compared in a simulation of soil water content (SWC) and soil temperature (ST) in the topsoil, and of biomass production. The results were assessed against SWC and ST data from five observational grassland sites representing a range of conditions – Grillenburg in Germany, Laqueuille in France with both extensive and intensive management, Monte Bondone in Italy and Oensingen in Switzerland – and against yield measurements from the same sites and other experimental grassland sites in Europe and Israel. We present a comparison of model estimates from individual models to the multi-model ensemble (represented by multi-model median: MMM). With calibration (seven out of nine models), the performances were acceptable for weekly-aggregated ST (R² > 0.7 with individual models and >0.8–0.9 with MMM), but less satisfactory with SWC (R² < 0.6 with individual models and < ∼ 0.5 with MMM) and biomass (R² < ∼0.3 with both individual models and MMM). With individual models, maximum biases of about −5 °C for ST, −0.3 m3 m−3 for SWC and 360 g DM m−2 for yield, as well as negative modelling efficiencies and some high relative root mean square errors indicate low model performance, especially for biomass. We also found substantial discrepancies across different models, indicating considerable uncertainties regarding the simulation of grassland processes. The multi-model approach allowed for improved performance, but further progress is strongly needed in the way models represent processes in managed grassland systems.  
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  ISSN 1161-0301 ISBN Medium  
  Area LiveM Expedition Conference  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4768  
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Author Köchy, M.; Banse, M. openurl 
  Title (down) Modelling Efforts and Integrated Regional Studies in FACCE MACSUR Type Conference Article
  Year 2013 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Hub  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference 4th Annual AgMIP Workshop, New York, USA, 2013-10-28 to 2013-10-30  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2555  
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Author Köchy, M. url  openurl
  Title (down) Maps of grasslands in Europe Type Report
  Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 1 Issue Pages D-L1.3.1  
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  Abstract Modelling of climate effects on agriculture and food security at the European scale requires a harmonized spatially, explicit database of European land use. It can be used for scaling results of point models to an area. A recent review of land cover maps focused on the global scale (Köchy, 2010). European land use as a subset of global land use is contained in the product GlobCover representing the year 2009 with a resolution of 0.3 km. A European product is the CORINE data set with a resolution of 100 m and a minimum mapping unit of 25 ha representing the year 2006 (version 16, European Environmental Agency, 2012). For scaling the results obtained for individual points to larger regions one needs fine-grained maps using the same categories as represented by the sample points. The CORINE map of pasture cover (Fig. 1) has the advantage of being very fine-grained and the classification being supervised. The visual differences to coarser maps of cover matched to census (Fig. 4), however, indicate, that none of the existing maps is reflecting reality perfectly. Since MACSUR will likely work with official national statistics it may be preferable to use one of the census-calibrated maps. For a better match, official EU spatial reporting schemes may be used at a grain that ensures data privacy of the land owners. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2257  
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