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Webber, H.; Gaiser, T.; Oomen, R.; Teixeira, E.; Zhao, G.; Wallach, D.; Zimmermann, A.; Ewert, F. Uncertainty in future irrigation water demand and risk of crop failure for maize in Europe 2016 Environmental Research Letters details   openurl
Zhang, S.; Tao, F.; Zhang, Z. Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China 2017 European Journal of Agronomy 87 30-39 details   doi
D’Ottavio, P.; Francioni, M.; Trozzo, L.; Sedic, E.; Budimir, K.; Avanzolini, P.; Trombetta, M.F.; Porqueddu, C.; Santilocchi, R.; Toderi, M. Trends and approaches in the analysis of ecosystem services provided by grazing systems: A review 2018 Grass and Forage Science 73 15-25 details   doi
Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. To what extent is climate change adaptation a novel challenge for agricultural modellers 2019 Environmental Modelling & Software 120 Unsp 104492 details   doi
Mitter, H.; Schoenhart, M.; Larcher, M.; Schmid, E. The Stimuli-Actions-Effects-Responses (SAER)-framework for exploring perceived relationships between private and public climate change adaptation in agriculture 2018 Journal of Environmental Management 209 286-300 details   doi
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