Tropischer Pflanzenbau und Agrosystem Modellierung

Tropischer Pflanzenbau und Agrosystem Modellierung




Umweltveränderungen stellen landwirtschaftliche Systeme vor große Herausforderungen, denen diese in Zukunft immer stärker ausgesetzt sein werden: Wasserknappheit, Bodennährstoffverarmung, Bodenerosion, häufigere Extremwetterereignisse, erhöhte Ozonkonzentrationen und, nicht zuletzt, der Klimawandel. Unser Ziel ist es, durch Forschung und forschungsorientierte Lehre das Verständnis über die Funktionsweise wichtiger tropischer Anbausysteme zur Pflanzenproduktion in einer sich verändernden Umwelt zu vertiefen. Schließlich erforschen wir quantitativ und in Zusammenarbeit mit anderen Fachdisziplinen verschiedene Aspekte der Ernährungssicherung auf unterschiedlichen Skalenebenen.


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Schlüsselpublikationen:

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Kassie, B.T., Van Ittersum, M.K., Hengsdijk, H., Asseng, S., Wolf, J. & Rötter, R.P. (2014). Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia Field Crops Research 160, 41-53.
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Bracho-Mujica, G., et al. (2024). Effects of Changes in Climatic Means and Variability on Future Wheat and Maize Yields and the Role of Adaptive Agro-Technologies in Reducing Negative Impacts. Agricultural and Forest Meteorology Volume 346,2024,109887.
https://doi.org/10.1016/j.agrformet.2024.109887

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DOI: 10.1016/j.fcr.2022.108768

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Hoffmann, M.P., et al. (2018). Exploring adaptations of groundnut cropping to prevailing climate variability and extremes in Limpopo Province, South Africa Field Crops Research 219, 1-13.
DOI: 10.1016/j.fcr.2018.01.019

Rötter, R.P., et al. (2018). Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes - A review Field Crops Research 221, 142–156.
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DOI:10.1093/jxb/erv098

Rötter, R.P., Tao, F., Höhn, J.G., Palosuo, T. (2015) Use of crop simulation modelling to aid ideotype design of future cereal cultivars Journal of Experimental Botany 66 (12), 3463-3476
DOI: 10.1093/jxb/erv098erv098

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Hoffmann, M.P., et al. (2014). Simulating potential growth and yield in oil palm with PALMSIM: Model description, evaluation and application Agricultural Systems 131, 1-10.
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Rötter, R.P., et al. (2011). Crop–climate models need an overhaul Nature Climate Change 1, 175-177.
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Wallach, D., et al. (2016). Estimating model prediction error: Should you treat predictions as fixed or random? Environmental Modelling & Software 84, 529-539.
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