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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: DAFA conference about the transformation of agricultural and food systems in the face of climate change
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/dafa-konferenz-2024.aspx, More
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MyMeldungsdatum: 2024-03-14 15:00:00
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From left to right: Dr. Claudia Heidecke (Thünen-Institut); Federal Minister of Agriculture Cem Özdemir; Prof. Claas Nendel (ZALF).
14.03.2024

DAFA conference about the transformation of agricultural and food systems in the face of climate change

Title: ZALF Focus Area - Research Station Dedelow
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/ZALF-Focus-Area-Forschungsstation-Dedelow.aspx, More
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MyMeldungsdatum: 2024-03-08 10:00:00
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ZALF Focus Area - Site Research Station Dedelow
08.03.2024

ZALF Focus Area - Research Station Dedelow

Title: New Science Podcast: Soil Hydrology Prediction
MehrLink: https://www.zalf.de/en/aktuelles/Pages/FPD/Podcast-Soil-Hydrology-Prediction.aspx, More
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MyMeldungsdatum: 2024-02-29 15:00:00
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https://homepageint.zalf.de/de/aktuelles/BilderAktuellMeldungen/Meldungen/FDS/Logo_10x15_Rand.png?RenditionID=2
29.02.2024

New Science Podcast: Soil Hydrology Prediction

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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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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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