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Research Area 4 "Simulation and Data Science"

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Extensive landscape data must be generated, analysed and made available for agricultural landscape research. Innovative developments in other research areas in the generation of spatial data (e.g. local and remote sensing) and in the analysis and processing of large amounts of data (e.g. big data approaches) also offer excellent opportunities for agricultural landscape research to systematically use ever larger amounts of data and optimally integrate them into relevant research programmes. In addition, numerical modelling and simulation are a central component of research. At ZALF, the focus is particularly on the interactive and simple use of models and methods for analysing processes in agricultural landscapes. The "Simulation and Data Sciences" programme area is developing a coherent concept for the integration of data, models and simulation methods for landscape research, right through to a landscape theory.

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Our Working Groups

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In addition to methodological issues, the research topics of the Research Area 4 address in particular the following UN sustainability goals, which are also anchored in the German Sustainable Development Strategy:

 

Topics in research area 4 

 

 

News

Title: Josepha Schiller - successful doctoral thesis defense
MehrLink: https://www.zalf.de/en/aktuelles/Pages/PB4/Erfolgreiche-Promotionsverteidigung-josepha-schiller.aspx, More
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MyMeldungsdatum: 2025-12-15 10:00:00
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Josepha Schiller after completing her doctorate with Masahiro Ryo
15.12.2025

Josepha Schiller - successful doctoral thesis defense

Title: Successful defence of Jing Yu‘s dissertation
MehrLink: https://www.zalf.de/en/aktuelles/Pages/PB4/Erfolgreiche-Promotionsverteidigung-jing-yu.aspx, More
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MyMeldungsdatum: 2025-12-12 10:00:00
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Jing Yu after successful dissertation
12.12.2025

Successful defence of Jing Yu‘s dissertation

Title: Webinar EOAgriTwin: a digital twin of agriculture
MehrLink: https://us06web.zoom.us/webinar/register/WN_CssXAxpIS6-zrJxe8DExzw#/registration, More
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MyMeldungsdatum: 2025-12-08 16:00:00
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08.12.2025

Webinar EOAgriTwin: a digital twin of agriculture

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Publications

MyTitle: Drought research priorities, trends, and geographic patterns
MyLinkAnsehenUrl: https://hess.copernicus.org/articles/29/1379/2025/, Resolve DOI name
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MyAutoren: Baatz, R., Ghazaryan, G., Hagenlocher, M., Nendel, C., Toreti, A., Eyshi Rezaei, E. (2025)
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Drought research priorities, trends, and geographic patterns

Baatz, R., Ghazaryan, G., Hagenlocher, M., Nendel, C., Toreti, A., Eyshi Rezaei, E. (2025)
MyTitle: Inter-comparison of soybean models for simulation of evapotranspiration under rainfed and irrigated conditions
MyLinkAnsehenUrl: https://www.sciencedirect.com/science/article/pii/S0168192325005015?via%3Dihub, Resolve DOI name
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MyAutoren: Kothari, K., Suyker, A., Battisti, R., Boote, K. J., Archontoulis, S., Constantin, J., Cuadra, S. V., Debaeke, P., Elli, E. F., Faye, B., Fleisher, D., Grant, B., Hoogenboom, G., Jing, Q., Kimball, B., Leung, F., Marin, F., Nendel, C., Qian, B., Schoving, C., da Silva, E. H. F. M., Smith, W., Srivastava, A. K., Sun, W., Thorp, K. R., Timlin, D., Vieira, N., Williams, K., Salmerón, M. (2026)
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Inter-comparison of soybean models for simulation of evapotranspiration under rainfed and irrigated conditions

Kothari, K., Suyker, A., Battisti, R., Boote, K. J., Archontoulis, S., Constantin, J., Cuadra, S. V., Debaeke, P., Elli, E. F., Faye, B., Fleisher, D., Grant, B., Hoogenboom, G., Jing, Q., Kimball, B., Leung, F., Marin, F., Nendel, C., Qian, B., Schoving, C., da Silva, E. H. F. M., Smith, W., Srivastava, A. K., Sun, W., Thorp, K. R., Timlin, D., Vieira, N., Williams, K., Salmerón, M. (2026)
MyTitle: Cropping history, agronomic rules, and commodity prices shape crop rotations across Central Europe
MyLinkAnsehenUrl: https://www.sciencedirect.com/science/article/pii/S0308521X25002628?via%3Dihub, Resolve DOI name
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MyAutoren: Palka, M., Nendel, C., Weiß, L., Schiller, J., Jänicke, C., Gaviria, J. A., Ryo, M. (2026)
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Cropping history, agronomic rules, and commodity prices shape crop rotations across Central Europe

Palka, M., Nendel, C., Weiß, L., Schiller, J., Jänicke, C., Gaviria, J. A., Ryo, M. (2026)
MyTitle: Predicting enviromically adapted varieties with big data
MyLinkAnsehenUrl: https://link.springer.com/article/10.1186/s13059-025-03914-x, Resolve DOI name
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MyAutoren: Gogna, A., Kamali, B., Wimmer, V., Schmidt, R. H., Rezaei, E. E., Eckhoff, W. M., Reif, J. C., Zhao, Y. (2026)
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Predicting enviromically adapted varieties with big data

Gogna, A., Kamali, B., Wimmer, V., Schmidt, R. H., Rezaei, E. E., Eckhoff, W. M., Reif, J. C., Zhao, Y. (2026)
MyTitle: A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
MyLinkAnsehenUrl: https://onlinelibrary.wiley.com/doi/10.1002/jpln.70038, Resolve DOI name
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MyAutoren: Inforsato, L., Rosso, P., Main-Knorn, M., Raza, A., Huang, S., Ghazaryan, G., Nendel, C. (2026)
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A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content

Inforsato, L., Rosso, P., Main-Knorn, M., Raza, A., Huang, S., Ghazaryan, G., Nendel, C. (2026)

Projects

MyTitle: YieldGEM - Improving large-area mechanistic yield simulations through disentangling genotype × environment × management factors
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2365, Take a look
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MyTextfeld: Start: 01.03.2023
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YieldGEM - Improving large-area mechanistic yield simulations through disentangling genotype × environment × management factors

Start: 01.03.2023
MyTitle: MoorgrünFE - Use of proximal and remote sensing data from various sensors to develop modeling approaches for assessing soil organic carbon (SOC) stocks and its dynamics on agriculturally used grasslands on peat soils
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2331, Take a look
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MyTextfeld: Start: 01.11.2022
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MoorgrünFE - Use of proximal and remote sensing data from various sensors to develop modeling approaches for assessing soil organic carbon (SOC) stocks and its dynamics on agriculturally used grasslands on peat soils

Start: 01.11.2022
MyTitle: EOAgriTwin - Earth Observation based Digital Twin for Resilient Agriculture under Multiple Stressors
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddü=2488, Take a look
MyLinkPDFUrl: https://www.eoagritwin.eu/, EOAgriTwin
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MyTextfeld: Start: 18.11.2024
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EOAgriTwin - Earth Observation based Digital Twin for Resilient Agriculture under Multiple Stressors

Start: 18.11.2024

 

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People of the research area

 

Co-Heads

Prof. Dr. Gunnar Lischeid
T +49 (0)33432 82-300

Prof. Dr. Claas Nendel
T +49 (0)33432 82-355

 

Administration

Nathalie Richter
T +49 (0)33432 82-276
F +49 (0)33432 82-334

 

Secretary’s office

Annett Stange
T +49 (0)33432 82-274

 

 

Address

Leibniz-Zentrum für
Agrarlandschaftsforschung (ZALF) e. V.

Eberswalder Straße 84
1537​4 Müncheberg​​​​

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© Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Müncheberg

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