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Research Platform "Data Analysis & Simulation"

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For agricultural landscape research, extensive landscape data must be generated, analysed and made available. Innovative developments in other research areas in the generation of spatial data (e.g. proximal and remote sensing) and in the analysis and processing of large data sets (e.g. big data approaches) also offer excellent opportunities for agricultural landscape research to systematically use ever larger data sets and to integrate them optimally into relevant research programmes. In addition, numerical modelling and simulation is a central component of research. At ZALF, the interactive and simple use of models and methods for the analysis of processes in agricultural landscapes is a particular focus. The research platform "FDS" develops a coherent concept for the integration of data, models and simulation methods for landscape research, from technical solutions to a landscape theory.

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Our Working Groups

 

In addition to the methodological topics, research activities in the Research Platform are mainly linked to two UN Sustainable Development Goals (SDG; UN 2015), which are also addressed in the German Sustainable Development Strategy (2016): Zero Hunger (SDG 2) and Climate Action (SDG 13).

 

 

News

Title: The less diverse the agricultural landscape, the more diverse the crop rotation
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/fruchtfolgenvielfalt.aspx, More
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MyMeldungsdatum: 2024-05-14 12:00:00
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Agricultural landscape with a cereal field
14.05.2024

The less diverse the agricultural landscape, the more diverse the crop rotation

Title: Soil fungal community across a 52-year chronosequence of soil recultivation after open-mining in Inden, Germany
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/Bodenpilzgemeinschaft-in-Inden-(Deutschland).aspx, More
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MyMeldungsdatum: 2024-04-22 11:00:00
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Soil fungal community across a 52-year chronosequence of soil recultivation
22.04.2024

Soil fungal community across a 52-year chronosequence of soil recultivation after open-mining in Inden, Germany

Title: Asia paves the way: ZALF study sheds light on the influence of AI on ecological research
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/ki-umweltforschung.aspx, More
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MyMeldungsdatum: 2024-03-25 17:00:00
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Green, mechanized earth with conductor paths like on a microchip on the Asian continent.
25.03.2024

Asia paves the way: ZALF study sheds light on the influence of AI on ecological research

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 Publications

MyTitle: Modelling crop yield in a wheat–soybean relay intercropping system: a simple routine in capturing competition for light
MyLinkAnsehenUrl: https://doi.org/10.1016/j.eja.2023.127067, Resolve DOI name
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MyAutoren: Yu, J., Rezaei, E. E., Thompson, J., Reckling, M., Nendel, C. (2024)
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Modelling crop yield in a wheat–soybean relay intercropping system: a simple routine in capturing competition for light

Yu, J., Rezaei, E. E., Thompson, J., Reckling, M., Nendel, C. (2024)
MyTitle: Ecology with artificial intelligence and machine learning in Asia: a historical perspective and emerging trends
MyLinkAnsehenUrl: https://doi.org/10.1111/1440-1703.12425, Resolve DOI name
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MyAutoren: Ryo, M. (2024)
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Ecology with artificial intelligence and machine learning in Asia: a historical perspective and emerging trends

Ryo, M. (2024)
MyTitle: Agronomic management response in maize (Zea mays L.) production across three agroecological zones of Kenya
MyLinkAnsehenUrl: https://doi.org/10.1002/agg2.20478, Resolve DOI name
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MyAutoren: Kipkulei, H., Bellingrath-Kimura, S. D., Lana, M., Ghazaryan, G., Baatz, R., Matavel, C., Boitt, M., Chisanga, C. B., Rotich, B., Moreira, R. M., Sieber, S. (2024)
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Agronomic management response in maize (Zea mays L.) production across three agroecological zones of Kenya

Kipkulei, H., Bellingrath-Kimura, S. D., Lana, M., Ghazaryan, G., Baatz, R., Matavel, C., Boitt, M., Chisanga, C. B., Rotich, B., Moreira, R. M., Sieber, S. (2024)

 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: ADM-Kenya: Integrated use of multisource remote sensing data for national scale agricultural drought monitoring in kenya
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2332, Take a look
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MyTextfeld: Start: 21.11.2022
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ADM-Kenya: Integrated use of multisource remote sensing data for national scale agricultural drought monitoring in kenya

Start: 21.11.2022
MyTitle: FAIRagro - FAIRe Dateninfrastruktur für die Agrosystemforschung
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2324, Take a look
MyLinkPDFUrl: http://www.fairagro.net/, Project website
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FAIRagro - FAIRe Dateninfrastruktur für die Agrosystemforschung

Start: 01.01.2023
MyTitle: BONARES – Centre for Soil Research
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2270, Take a look
MyLinkPDFUrl: http://www.bonares.de/, Project website
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MyTextfeld: Start: 01.02.2022
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BONARES – Centre for Soil Research

Start: 01.02.2022

 

  

People of the research platform

 

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 82-276
F +49 (0)33432 82-334

Liane Wascher
T +49 (0)33432 82-300
F +49 (0)33432 82-301

 

 

Adresse

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

Eberswalder Straße 84
15374 Müncheberg

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