Publication Abstracts

Falconnier et al. 2020

Falconnier, G.N., M. Corbeels, K.J. Boote, F. Affholder, M. Adam, D.S. MacCarthy, A.C. Ruane, C. Nendel, A.M. Whitbread, E. Justes, L.R. Ahuja, F.M. Akinseye, I.N. Alou, K.A. Amouzou, S.S. Anapalli, C. Baron, B. Basso, F. Baudron, P. Bertuzzi, A.J. Challinor, Y. Chen, D. Deryng, M.L. Elsayed, B. Faye, T. Gaiser, M. Galdos, S. Gayler, E. Gerardeaux, M. Giner, B. Grant, G. Hoogenboom, E.S. Ibrahim, B. Kamali, K.C. Kersebaum, S.H. Kim, M. van der Laan, L. Leroux, J.I. Lizaso, B. Maestrini, E.A. Meier, F. Mequanint, A. Ndoli, C.H. Porter, E. Priesack, D. Ripoche, T. Sida, U. Singh, W. Smith, A. Srivastava, S. Sinha, F. Tao, P.J. Thorburn, D. Timlin, B. Traore, T. Twine, and H. Webber, 2020: Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa. Glob. Change Biol., 26, no. 10, 5942-5964, doi:10.1111/gcb.15261.

Smallholder farmers in sub-Saharan Africa (SSA) currently grow rainfed maize with limited inputs including fertilizer. Climate change may exacerbate current production constraints. Crop models can help quantify the potential impact of climate change on maize yields, but a comprehensive multi-model assessment of simulation accuracy and uncertainty in these low-input systems is currently lacking. We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, 160 kg N ha-1) for five environments in SSA, including cool sub-humid Ethiopia, cool semi-arid Rwanda, hot sub-humid Ghana and hot semi-arid Mali and Benin using an ensemble of 25 maize models. Models were calibrated with measured grain yield, plant biomass, plant N, leaf area index, harvest index and in-season soil water content from two-year experiments in each country to assess their ability to simulate observed yield. Simulated responses to climate change factors were explored and compared between models. Calibrated models reproduced measured grain yield variations well with average relative root mean square error of 26%, although uncertainty in model prediction was substantial (CV = 28%). Model ensembles gave greater accuracy than any model taken at random. Nitrogen fertilization controlled the response to variations in [CO2], temperature and rainfall. Without N fertilizer input, maize (i) benefited less from an increase in atmospheric [CO2], (ii) was less affected by higher temperature or decreasing rainfall and (iii) was more affected by increased rainfall because N leaching was more critical. The model inter-comparison revealed that simulation of daily soil N supply and N leaching plays a crucial role in simulating climate change impacts for low-input systems. Climate change and N input interactions have strong implications for the design of robust adaptation practices across SSA, because the impact of climate change will be modified if farmers intensify maize production with more mineral fertilizer.

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BibTeX Citation

  author={Falconnier, G. N. and Corbeels, M. and Boote, K. J. and Affholder, F. and Adam, M. and MacCarthy, D. S. and Ruane, A. C. and Nendel, C. and Whitbread, A. M. and Justes, E. and Ahuja, L. R. and Akinseye, F. M. and Alou, I. N. and Amouzou, K. A. and Anapalli, S. S. and Baron, C. and Basso, B. and Baudron, F. and Bertuzzi, P. and Challinor, A. J. and Chen, Y. and Deryng, D. and Elsayed, M. L. and Faye, B. and Gaiser, T. and Galdos, M. and Gayler, S. and Gerardeaux, E. and Giner, M. and Grant, B. and Hoogenboom, G. and Ibrahim, E. S. and Kamali, B. and Kersebaum, K. C. and Kim, S. H. and van der Laan, M. and Leroux, L. and Lizaso, J. I. and Maestrini, B. and Meier, E. A. and Mequanint, F. and Ndoli, A. and Porter, C. H. and Priesack, E. and Ripoche, D. and Sida, T. and Singh, U. and Smith, W. and Srivastava, A. and Sinha, S. and Tao, F. and Thorburn, P. J. and Timlin, D. and Traore, B. and Twine, T. and Webber, H.},
  title={Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa},
  journal={Glob. Change Biol.},

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RIS Citation

ID  - fa05100p
AU  - Falconnier, G. N.
AU  - Corbeels, M.
AU  - Boote, K. J.
AU  - Affholder, F.
AU  - Adam, M.
AU  - MacCarthy, D. S.
AU  - Ruane, A. C.
AU  - Nendel, C.
AU  - Whitbread, A. M.
AU  - Justes, E.
AU  - Ahuja, L. R.
AU  - Akinseye, F. M.
AU  - Alou, I. N.
AU  - Amouzou, K. A.
AU  - Anapalli, S. S.
AU  - Baron, C.
AU  - Basso, B.
AU  - Baudron, F.
AU  - Bertuzzi, P.
AU  - Challinor, A. J.
AU  - Chen, Y.
AU  - Deryng, D.
AU  - Elsayed, M. L.
AU  - Faye, B.
AU  - Gaiser, T.
AU  - Galdos, M.
AU  - Gayler, S.
AU  - Gerardeaux, E.
AU  - Giner, M.
AU  - Grant, B.
AU  - Hoogenboom, G.
AU  - Ibrahim, E. S.
AU  - Kamali, B.
AU  - Kersebaum, K. C.
AU  - Kim, S. H.
AU  - van der Laan, M.
AU  - Leroux, L.
AU  - Lizaso, J. I.
AU  - Maestrini, B.
AU  - Meier, E. A.
AU  - Mequanint, F.
AU  - Ndoli, A.
AU  - Porter, C. H.
AU  - Priesack, E.
AU  - Ripoche, D.
AU  - Sida, T.
AU  - Singh, U.
AU  - Smith, W.
AU  - Srivastava, A.
AU  - Sinha, S.
AU  - Tao, F.
AU  - Thorburn, P. J.
AU  - Timlin, D.
AU  - Traore, B.
AU  - Twine, T.
AU  - Webber, H.
PY  - 2020
TI  - Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa
JA  - Glob. Change Biol.
VL  - 26
IS  - 10
SP  - 5942
EP  - 5964
DO  - 10.1111/gcb.15261
ER  -

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