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ZALFHomeStructureResearch Area 4 "Simulation and Data Science"

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:

 

 

News

Title: New Paper Presenting the BonaRes Repository’s Role in Facilitating Reuse of Agricultural Soil Research Data
MehrLink: https://www.zalf.de/en/aktuelles/Pages/PB3/Foerderung-der-effektiven-Nachnutzung-landwirtschaftlicher-Bodenforschungsdaten-Das-BonaRes-Repositorium.aspx, more
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MyMeldungsdatum: 2025-04-28 11:00:00
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RenditionID=4
28.04.2025

New Paper Presenting the BonaRes Repository’s Role in Facilitating Reuse of Agricultural Soil Research Data

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Title: Researchers warn: Is another drought on the way?
MehrLink: https://www.zalf.de/en/aktuelles/Pages/Pressemitteilungen/DWD_Trockenheit-in-Sicht.aspx, more
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MyMeldungsdatum: 2025-04-02 12:00:00
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© Clim4Cast
02.04.2025

Researchers warn: Is another drought on the way?

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Title: Meta AI Framework for catastrophe prevention: Improved Landslide Susceptibility Prediction
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/Vorhersage-von-Erdrutschrisiken.aspx, more
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MyMeldungsdatum: 2025-03-31 10:00:00
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© Amit Kumar Srivastava / ZALF
31.03.2025

Meta AI Framework for catastrophe prevention: Improved Landslide Susceptibility Prediction

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Publications
MyTitle: Modelling mixed crop-livestock systems and climate impact assessment in sub-Saharan Africa
MyLinkAnsehenUrl: https://www.nature.com/articles/s41598-024-81986-8, Resolve DOI name
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MyAutoren: Srivastava, A. K., Rahimi, J., Alsafadi, K., Vianna, M., Enders, A., Zheng, W., Demircan, A., Dieng, M. D. B., Salack, S., Faye, B., Singh, M., Halder, K., Ewert, F., Gaiser, T. (2025)
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MyLabels: Programmbereich 4 „Simulations- und Datenwissenschaften“
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Modelling mixed crop-livestock systems and climate impact assessment in sub-Saharan Africa

Srivastava, A. K., Rahimi, J., Alsafadi, K., Vianna, M., Enders, A., Zheng, W., Demircan, A., Dieng, M. D. B., Salack, S., Faye, B., Singh, M., Halder, K., Ewert, F., Gaiser, T. (2025)
Resolve DOI name
MyTitle: Unravelling regional water balance dynamics in anthropogenically shaped lowlands: a data-driven approach.
MyLinkAnsehenUrl: https://doi.org/10.1002/hyp.70053, Resolve DOI name
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MyAutoren: Kröcher, J., Ghazaryan, G., Lischeid, G. (2025)
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MyLabels: Programmbereich 4 „Simulations- und Datenwissenschaften“
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Unravelling regional water balance dynamics in anthropogenically shaped lowlands: a data-driven approach.

Kröcher, J., Ghazaryan, G., Lischeid, G. (2025)
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MyTitle: To enhance sustainable development goal research, open up commercial satellite image archives
MyLinkAnsehenUrl: https://doi.org/10.1073/pnas.2410246122, Resolve DOI name
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MyAutoren: Rufin, P., Meyfroidt, P., Akinyemi, F. O., Estes, L., Ibrahim, E. S., Jain, M., Kerner, H., Lisboa, S. N., Lobell, D., Nakalembe, C., Persello, C., Picoli, M. C. A., Ribeiro, N., Sitoe, A. A., Waha, K., Wang, S. (2025)
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MyLabels: Programmbereich 4 „Simulations- und Datenwissenschaften“
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To enhance sustainable development goal research, open up commercial satellite image archives

Rufin, P., Meyfroidt, P., Akinyemi, F. O., Estes, L., Ibrahim, E. S., Jain, M., Kerner, H., Lisboa, S. N., Lobell, D., Nakalembe, C., Persello, C., Picoli, M. C. A., Ribeiro, N., Sitoe, A. A., Waha, K., Wang, S. (2025)
Resolve DOI name

Projects
MyTitle: KICS-Zert-2: BiodivKI-2 - AI and citizen science-supported monitoring of certified biodiversity projects
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2487, Resolve DOI name
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MyTextfeld: Period: 01.12.2024
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KICS-Zert-2: BiodivKI-2 - AI and citizen science-supported monitoring of certified biodiversity projects

Period: 01.12.2024
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MyTitle: ModOKlim: Model-based scenario analysis to optimise plant production for climate protection
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2397, Resolve DOI name
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MyTitelMehrzeilig:
MyTextfeld: Period: 01.11.2023
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ModOKlim: Model-based scenario analysis to optimise plant production for climate protection

Period: 01.11.2023
Resolve DOI name
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, Resolve DOI name
MyLinkPDFUrl: https://www.eoagritwin.eu/, https://www.eoagritwin.eu/
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MyTextfeld: Period: 18.11.2024
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EOAgriTwin: Earth Observation based Digital Twin for Resilient Agriculture under Multiple Stressors

Period: 18.11.2024
Resolve DOI namehttps://www.eoagritwin.eu/new tab icon

 

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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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