|
|
Ewert, F., van Bussel, L. G. J., Zhao, G., Hoffmann, H., Gaiser, T., Specka, X., et al. (2015). Uncertainties in Scaling up Crop Models for Large Area Climate-change Impact Assessments. In C. Rosenzweig, & D. Hillel (Eds.), (pp. 261–277). Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments — Joint Publication with American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America (In 2 Parts), ICP Series on Climate Change Impacts, Adaptation, . London: Imperial College Press.
|
|
|
|
Olesen, J. E. (2016). Socio-economic impacts – agricultural systems. In M. Quante, & F. Colijn (Eds.), (pp. 397–407). North Sea Region climate change assessment, Regional Climate Studies.
|
|
|
|
Lehtonen, H., Liu, X., & Purola, T. (2015). Balancing Climate Change Mitigation and Adaptation with Socio-Economic Goals at Farms in Northern Europe. In A. Paloviita, & M. Järvelä (Eds.),. Climate Adaptation, Policy and Food Supply Chain Management in Europe. Routledge.
|
|
|
|
Helming, K. (2014). Impact Assessment for Multifunctional Land Use. In L. Mueller, A. Saparov, & G. Lischeid (Eds.), (pp. 223–234). Environmental Science and Engineering. Cham: Springer International Publishing.
|
|
|
|
Mansouri, M. (2013). Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods. In P. Masegosa, C. Villacorta, S. Cruz-Corona, M. Garcia-Cascales, J. Lamata, & A. Verdegay (Eds.), (pp. 112–137). Exploring Innovative and Successful Applications of Soft Computing. Hershey PA: IGI Global.
|
|
