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Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Mirschel, W.; Barkusky, D.; Hufnagel, J.; Kersebaum, K.C.; Nendel, C.; Laacke, L.; Luzi, K.; Rosner, G. |
Coherent multi-variable field data set of an intensive cropping system for agro-ecosystem modelling from Müncheberg, Germany |
2016 |
Open Data Journal for Agricultural Research |
2 |
1-10 |
|
|
Hidy, D.; Balogh, J.; Churkina, G.; Haszpra, L.; Horváth, F.; Ittzés, P.; Ittzés, D.; Ma, S.; Nagy, Z.; Pintér, K.; Barcza, Z. |
Structural development and web service based sensitivity analysis of the Biome-BGC MuSo model |
2014 |
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Dono, G.; Cortignani, R.; Dell’Unto, D.; Deligios, P.; Doro, L.; Lacetera, N.; Mula, L.; Pasqui, M.; Quaresima, S.; Vitali, A.; Roggero, P.P. |
Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin |
2016 |
Agricultural Systems |
147 |
65-75 |
|
|
Herbst, M.; Welp, G.; Klosterhalfen, A.; Amelung, W.; Hädicke, A.; Vereecken, H. |
Linking soil organic carbon pools with measured fractions |
2014 |
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Havlík, P.E.S., S. Fuss, D. Leclere, M. Obersteiner, A. Mosnier, H. Valin, N. Khabarov |
Linking bio-physical, bottom-up and top-do wn economic models to analyze climate change impacts and adaptation on Austrian agriculture |
2013 |
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