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	Author	Ma, S.; Acutis, M.; Barcza, Z.; Ben, T., H.; Doro, L.; Hidy, D.; Köchy, M.; Minet, J.; Lellei-Kovács, E.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G.
	Title	The grassland model intercomparison of the MACSUR (Modelling European Agriculture with Climate Change for Food Security) European knowledge hub			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	LiveM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	7th International Congress on Environmental Modelling and Software, 2014-06-15 to 2014-06-19
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2618
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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.
	Title	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.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	Language	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1161-0301	ISBN		Medium
	Area	LiveM	Expedition		Conference
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	4768
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	Author	Dalgaard, T.; Kjeldsen, C.; Meyer-Aurich, A.; Özkan, S.; Rolinski, S.; Köchy, M.; Olesen, J.E.; Brouwer, F.; van den Pol-van Dasselaar, A.; Kipling, R.
	Title	Farming systems models for regional scale impact assessment in Europe – case studies of N-losses and greenhouse gas emissions			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	LiveM
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Scaling in global, regional and farm models, 2014-09-24 to 2014-09-24
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2380
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	Author	Biewald, A.; Rolinski, S.; Lotze-Campen, H.; Schmitz, C.
	Title	Global valuation of agricultural, virtual blue water trade measured on a local scale			Type	Conference Article
	Year	2012	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Conference paper presented at the 10th Annual meeting of the International Water Resource Economics Consortium, Stockholm, Sweden, 2012-08-27 to 2012-08-28
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	2323
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	Author	Rolinski, S.; Weindl, I.; Heinke, J.; Bodirsky, B.L.; Biewald, A.; Lotze-Campen, H.
	Title	Environmental impacts of grassland management and livestock production			Type	Conference Article
	Year	2014	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract	The potential of grasslands to sequester carbon and provide feed for livestock production depends on the one hand on climatic conditions but secondly on management and grazing pressure. Using a global vegetation model considering different management and grazing options, effects of livestock density on primary productivity can be assessed. It is expected that low animal densities enhance productivity whereas increasing grazing pressure may deteriorate grass plants. Thus, the optimal animal density depend on the specific primary production of the pasture and optimal grazing intensity. Using these optimal grass yields, the impacts of livestock production on resource use is assessed by applying the global land use model MAgPIE. This model integrates a detailed representation of the livestock sector and integrates socio-economic regional information with spatially explicit biophysical data. With scenario analysis we analyze the impact of livestock production on future deforestation and land use. Our results indicate that the reduction of animal derived calory demand has a huge potential to spare land for nature and reduce deforestation. On the supply side, feeding efficiency gains can help to decrease demand for land and overall biomass requirements.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title	FACCE MACSUR Mid-term Scientific Conference
	Series Volume	3(S) Sassari, Italy	Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy
	Notes				Approved	no
	Call Number	MA @ admin @			Serial	5078
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