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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:

 

 

News

Title: Water data from 30 years analyzed: Water balance between natural processes and human influence - a look at Lusatia
MehrLink: https://www.zalf.de/en/aktuelles/Pages/Pressemitteilungen/Wasserhaushalt-Lausitz.aspx, More
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MyMeldungsdatum: 2025-02-05 12:00:00
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jenny Kröcher / ZALF
05.02.2025

Water data from 30 years analyzed: Water balance between natural processes and human influence - a look at Lusatia

Title: 50 Years of Continuous Fertilization Data from Irrigated Vegetable Crop Rotations: Publication of the LTE Großbeeren
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/Veroeffentlichung-des-LTE-Gro%C3%9Fbeeren.aspx, More
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MyMeldungsdatum: 2024-11-13 11:00:00
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LTE Großbeeren: Experiments overview
13.11.2024

50 Years of Continuous Fertilization Data from Irrigated Vegetable Crop Rotations: Publication of the LTE Großbeeren

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 Publications

MyTitle: FAIRagro: ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung
MyLinkAnsehenUrl: https://doi.org/10.1007/s00287-022-01520-w, Take a look
MyLinkPDFUrl: https://publications.zalf.de/publications/c59386b0-fa7b-428e-9d37-2c9e0dbf5911.pdf, PDF take a look / download
MyTitelMehrzeilig:
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MyAutoren: Specka, X., Martini, D., Weiland, C., Arend, D., Asseng, S., Boehm, F., Feike, T., Fluck, J., Gackstetter, D., Gonzales-Mellado, A., Hartmann, T., Haunert, J.-H., Hoedt, F., Hoffmann, C., König, P., Lange, M., Lesch, S., Lindstädt, B., Lischeid, G., Möller, M., Rascher, U., Reif, J. C., Schmalzl, M., Senft, M., Stahl, U., Svoboda, N., Usadel, B., Webber, H., Ewert, F. (2023)
MyMeldungsdatum:
MyLabels: Forschungsplattform „Datenanalyse & Simulation“; Programmbereich 4 „Simulations- und Datenwissenschaften“; Serviceplattform für Rechen- und Datendienstleistungen
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FAIRagro: ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung

Specka, X., Martini, D., Weiland, C., Arend, D., Asseng, S., Boehm, F., Feike, T., Fluck, J., Gackstetter, D., Gonzales-Mellado, A., Hartmann, T., Haunert, J.-H., Hoedt, F., Hoffmann, C., König, P., Lange, M., Lesch, S., Lindstädt, B., Lischeid, G., Möller, M., Rascher, U., Reif, J. C., Schmalzl, M., Senft, M., Stahl, U., Svoboda, N., Usadel, B., Webber, H., Ewert, F. (2023)

 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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MyTitelMehrzeilig:
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: KIKompAG - Multi-modal data integration, domain-specific methods and AI to strengthen data literacy in agricultural research
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2329, Take a look
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MyTitelMehrzeilig:
MyTextfeld: Start 01.10.2022
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KIKompAG - Multi-modal data integration, domain-specific methods and AI to strengthen data literacy in agricultural research

Start 01.10.2022

 

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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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