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Integrated Crop and Grassland Systems Analysis and Assessment

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Food security, economic development, biodiversity preservation, water availability and quality, climate change, meaningful livelihoods and vibrant rural communities are all intimately connected to the design and management of cropping systems. Agricultural systems analysis and modelling aid in evaluating tradeoffs between what are often competing interests and demands. However, for modelling studies to be useful in decision support settings around sustainable design and management of cropping systems, they must simultaneously consider a range of system drivers and aspects, integrating knowledge from economics, crop science, decision making, and relevant environmental disciplines (e.g. soil science, biodiversity, hydrology, etc). The goal of the working group Integrated Crop System Analysis and Modelling (ICASA) is to develop and improve methodologies for the integration of information across disciplines and methodological approaches to support the development of resilience cropping systems that contribute to more sustainable and just food systems.

 

 

 Publikationen AG

MyTitle: Machine learning in crop yield modelling: a powerful tool, but no surrogate for science
MyLinkAnsehenUrl: https://doi.org/10.1016/j.agrformet.2021.108698, Resolve DOI name
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MyAutoren: Lischeid, G., Webber, H., Sommer, M., Nendel, C., Ewert, F. (2022)
MyMeldungsdatum:
MyLabels: ZALF-Publikationen; LAP; PB3; CSA
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Machine learning in crop yield modelling: a powerful tool, but no surrogate for science

Lischeid, G., Webber, H., Sommer, M., Nendel, C., Ewert, F. (2022)
MyTitle: To bias correct or not to bias correct?
MyLinkAnsehenUrl: http://https://www.sciencedirect.com/science/article/pii/S0168192321000897?via%3Dihub, DOI-Namen auflösen
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MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Laux, P., Rötter, R. P., Webber, H., Dieng, D., Rahimi, J., Wei, J., Faye, B., Srivastava, A. K., Bliefernicht, J., Adeyeri, O., Arnault, J., Kunstmann, H. (2021)
MyMeldungsdatum:
MyLabels: CSA
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To bias correct or not to bias correct?

Laux, P., Rötter, R. P., Webber, H., Dieng, D., Rahimi, J., Wei, J., Faye, B., Srivastava, A. K., Bliefernicht, J., Adeyeri, O., Arnault, J., Kunstmann, H. (2021)
MyTitle: Nafi, E., Webber, H., Danso, I., Naab, J. B., Frei, M., Gaiser, T. (2021)
MyLinkAnsehenUrl: https://www.sciencedirect.com/science/article/pii/S0167198720305493?via%3Dihub, Resolve DOI name
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MyTitelMehrzeilig:
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MyAutoren: Nafi, E., Webber, H., Danso, I., Naab, J. B., Frei, M., Gaiser, T. (2021)
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MyLabels: CSA
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Nafi, E., Webber, H., Danso, I., Naab, J. B., Frei, M., Gaiser, T. (2021)

Nafi, E., Webber, H., Danso, I., Naab, J. B., Frei, M., Gaiser, T. (2021)

 Projekte AG

MyTitle: cropT - Quantifying crop responses to warmer temperatures: drivers and underlying processes
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2253, Take a look
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MyTitelMehrzeilig:
MyTextfeld: Start: 01.05.2022
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cropT - Quantifying crop responses to warmer temperatures: drivers and underlying processes

Start: 01.05.2022
MyTitle: CliWaC - The Einstein Research Unit Climate and Water under Change
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2278, Take a look
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MyTitelMehrzeilig:
MyTextfeld: Start: 24.01.2022
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CliWaC - The Einstein Research Unit Climate and Water under Change

Start: 24.01.2022
MyTitle: iCSA - Integrated cropping systems analysis: methods and models for climate risk and adaptation assessments
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2246, Take a look
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MyTextfeld: Start: 01.01.2022
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iCSA - Integrated cropping systems analysis: methods and models for climate risk and adaptation assessments

Start: 01.01.2022
MyTitle: IPP 2021 Optimal Nitrogen - Optimale N Versorgung für Agrarlandschaften der Zukunft: Digitale Technologien zur Optimierung der N Nutzung
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2198, Take a look
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MyTitelMehrzeilig:
MyTextfeld: 01.01.2021
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IPP 2021 Optimal Nitrogen - Optimale N Versorgung für Agrarlandschaften der Zukunft: Digitale Technologien zur Optimierung der N Nutzung

01.01.2021

 

Contact

 

Head of working group

Dr. Heidi Webber
T +49 (0)33432 82-4075

 

Address

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

Eberswalder Straße 84
15374 Müncheberg​

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