SALLnet at European Geosciences Union, 4-8 May 2020

Conference contribution title

Modelling impacts of climate change and alternative management interventions on the multi-functionality of agricultural landscapes in southern Africa


Rötter, R.P., Nelson, W.C.D., Isselstein, J., Scheiter, S., Pfeiffer, M., Hoffmann, M.P., Ayisi, K., Lindstädter, A., Behn, K., Westphal, C., Grass, I., Feil, J.H., Odhiambo, J., Taylor, P., Twine, W., Merante, P., Bracho Mujica, G., Bringhenti, T., Lamega, S., Yazdan Bakhsh, S., Krieger, W., Linden, V., Weier, S., and Erasmus, B.


European Geosciences Union, 4-8 May 2020

The European Geosciences Union (EGU) General Assembly took place online between the 4th and 8th of May. The SALLnet group was represented by Prof. Reimund Roetter and Dr. William Nelson (TROPAGS, University of Goettingen), who showcased the entire SALLnet project, as well as a case study defined for the Limpopo Province, South Africa. The case study investigated the effects of current management practices and an intensification scenario over a longer period of years on soil organic carbon change under rangeland and arable land, potential erosion, productive water use, biomass production, monthly feed gaps, and rangeland habitat quality. The study looked at coupling the output of vegetation (aDGVM) and crop models (APSIM) regionally calibrated with sound ground/ experimental data. This appears promising to provide meaningful insights into the highly complex interconnections of different ecosystem services at a landscape level. Tentative results showed that sustainable intensification closed the livestock feed gap, but further reduced soil organic carbon (Fig. 3).

For further information and to see an interactive PDF version of the presentation, please follow this link.

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Fig. 1. EGU 2020 session advertisement, Modeling agricultural systems under global change, with SALLnet contribution advertisement (bottom-left).

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Fig. 2. EGU 2020 SALLnet contribution advertisement.

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Fig. 3. EGU 2020 SALLnet contribution highlights of model coupling study.