|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Schauberger, B.; Rolinski, S.; Müller, C. |
A network-based approach for semi-quantitative knowledge mining and its application to yield variability |
2016 |
Environmental Research Letters |
11 |
123001 |
|
|
Ewert, F.; Rötter, R.P.; Bindi, M.; Webber, H.; Trnka, M.; Kersebaum, K.C.; Olesen, J.E.; van Ittersum, M.K.; Janssen, S.; Rivington, M.; Semenov, M.A.; Wallach, D.; Porter, J.R.; Stewart, D.; Verhagen, J.; Gaiser, T.; Palosuo, T.; Tao, F.; Nendel, C.; Roggero, P.P.; Bartošová, L.; Asseng, S. |
Crop modelling for integrated assessment of risk to food production from climate change |
2015 |
Environmental Modelling & Software |
72 |
287-303 |
|
|
Jägermeyr, J.; Gerten, D.; Schaphoff, S.; Heinke, J.; Lucht, W.; Rockström, J. |
Integrated crop water management might sustainably halve the global food gap |
2016 |
Environmental Research Letters |
11 |
025002 |
|
|
Below, T.B.; Mutabazi, K.D.; Kirschke, D.; Franke, C.; Sieber, S.; Siebert, R.; Tscherning, K. |
Can farmers’ adaptation to climate change be explained by socio-economic household-level variables |
2012 |
Global Environmental Change |
22 |
223-235 |
|
|
Mansouri, M.; Dumont, B.; Destain, M.-F. |
Modeling and prediction of nonlinear environmental system using Bayesian methods |
2013 |
Computers and Electronics in Agriculture |
92 |
16-31 |
|