Skip Ribbon Commands
Skip to main content
Suche
Breadcrumb Navigation

Research Area 4 "Simulation and Data Science"

Hauptinhalt der Seite
​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

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.

More ...

 

Our Working Groups

​​

 

​​

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: Successful defence of Jing Yu‘s dissertation
MehrLink: https://www.zalf.de/en/aktuelles/Pages/PB4/Erfolgreiche-Promotionsverteidigung-jing-yu.aspx, More
MyLinkPDFUrl:
MyTextfeld:
MyMeldungsdatum: 2025-12-12 10:00:00
MyLabels:
Struktureinheiten:Label:
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
MyLinkPDFUrl:
MyTextfeld:
MyMeldungsdatum: 2025-12-08 16:00:00
MyLabels:
Struktureinheiten:Label:
https://homepageint.zalf.de/de/aktuelles/BilderAktuellMeldungen/Meldungen/PB4/EOAgriTwinwebinar_banner.png?RenditionID=2
08.12.2025

Webinar EOAgriTwin: a digital twin of agriculture

Title: ZALF highlights earth observation innovations for agriculture at ESA Living Planet Symposium 2025
MehrLink: https://www.zalf.de/en/aktuelles/Pages/PB4/ESA-Living-Planet-Symposium-2025.aspx, More
MyLinkPDFUrl:
MyTextfeld:
MyMeldungsdatum: 2025-09-29 14:00:00
MyLabels:
Struktureinheiten:Label:
https://homepageint.zalf.de/de/aktuelles/BilderAktuellMeldungen/Meldungen/PB4/EPS_Vienna_2025.png?RenditionID=2
29.09.2025

ZALF highlights earth observation innovations for agriculture at ESA Living Planet Symposium 2025

More news

 

 

Publications

MyTitle: Cultivar evolution underpins maize yield sensitivity to adverse climate conditions
MyLinkAnsehenUrl: https://www.nature.com/articles/s41467-026-71045-3, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Zhang, L., Bai, Z., Xi, W., Zhang, D., Olesen, J. E., Harrison, M. T., Bernacchi, C., Makowski, D., McDonald, A. J., Shi, S., Liu, K., Eyshi Rezaei, E., Zheng, Q., Shan, Y., Chen, F., Yin, X. (2026)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Cultivar evolution underpins maize yield sensitivity to adverse climate conditions

Zhang, L., Bai, Z., Xi, W., Zhang, D., Olesen, J. E., Harrison, M. T., Bernacchi, C., Makowski, D., McDonald, A. J., Shi, S., Liu, K., Eyshi Rezaei, E., Zheng, Q., Shan, Y., Chen, F., Yin, X. (2026)
MyTitle: Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands
MyLinkAnsehenUrl: https://www.sciencedirect.com/science/article/pii/S0034425726001562?via%3Dihub, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Wang, J., Sun, Z., Zhu, W., Ren, L., Eyshi Rezaei, E. (2026)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Modeling saline soil complex permittivity from bound-water microphysics: Laboratory validation at L-/C-bands

Wang, J., Sun, Z., Zhu, W., Ren, L., Eyshi Rezaei, E. (2026)
MyTitle: Diversification and policy options for risk management in arable farming
MyLinkAnsehenUrl: https://www.sciencedirect.com/science/article/pii/S0308521X26000454?via%3Dihub, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: von Czettritz und Neuhaus, H. C., Hosseini-Yekani, S.-A., Yu, J., Reckling, M., Zander, P. (2026)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Diversification and policy options for risk management in arable farming

von Czettritz und Neuhaus, H. C., Hosseini-Yekani, S.-A., Yu, J., Reckling, M., Zander, P. (2026)
MyTitle: A Global-Scale Time Series Dataset for Groundwater Studies within the Earth System
MyLinkAnsehenUrl: https://www.nature.com/articles/s41597-026-06966-1, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Bäthge, A., Vargas, C. R., Lischeid, G., Collenteur, R., Cuthbert, M., Fleckenstein, J., Flörke, M., de Graaf, I., Gnann, S., Hartmann, A., Huggins, X., Moosdorf, N., Wada, Y., Wagener, T., Reinecke, R. (2026)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

A Global-Scale Time Series Dataset for Groundwater Studies within the Earth System

Bäthge, A., Vargas, C. R., Lischeid, G., Collenteur, R., Cuthbert, M., Fleckenstein, J., Flörke, M., de Graaf, I., Gnann, S., Hartmann, A., Huggins, X., Moosdorf, N., Wada, Y., Wagener, T., Reinecke, R. (2026)
MyTitle: Thunderstorm drivers and trends in Ghana, West Africa: an interpretable machine learning study
MyLinkAnsehenUrl: https://link.springer.com/article/10.1007/s00703-026-01143-w, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Akum, R. A., Lischeid, G., Oguntunde, P. G., Balogun, R. A. (2026)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Thunderstorm drivers and trends in Ghana, West Africa: an interpretable machine learning study

Akum, R. A., Lischeid, G., Oguntunde, P. G., Balogun, R. A. (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
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 01.03.2023
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

YieldGEM - Improving large-area mechanistic yield simulations through disentangling genotype × environment × management factors

Start: 01.03.2023
MyTitle: PRIMA - Safe-H2O-Farm: Innovative farm strategies that integrate sustainable N fertilization, water management and pest control to reduce water and soil pollution and salinization in the Mediterranean
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2377, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 01.06.2023
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

PRIMA - Safe-H2O-Farm: Innovative farm strategies that integrate sustainable N fertilization, water management and pest control to reduce water and soil pollution and salinization in the Mediterranean

Start: 01.06.2023
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
MyTitelMehrzeilig:
MyTextfeld: Start: 18.11.2024
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

EOAgriTwin - Earth Observation based Digital Twin for Resilient Agriculture under Multiple Stressors

Start: 18.11.2024

 

  ​

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​​​​

Fusszeile der Seite
Wordpress icon
Instagram icon
YouTube icon
ResearchGate icon
Mastodon icon
Bluesky icon
LinkedIn icon
© Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Müncheberg

Funded by:

BMLEH logo
MWFK logo