63
Acknowledgements In this paper we use the Agricultural Model Intercomperison Project
approach (AgMIP, www.agmip.org), using the case study of the crop-livestock Intensification
Project (CLIP). UKAID and USDA funded the research. We are grateful to communities in Nkayi
district, Matabeleland North and Zimbabwe national stakeholders for their contributions. The
research contributes to CGIAR research program CCAFS.
References
Asseng S, Zhu Y, Wang E et al (2015) Crop modeling for climate change impact and adaptation. In: Crop physiology: applications for genetic improvement and agronomy, 2nd edn.
Elsevier, London, Waltham, San Diego, pp 505–546. https://doi.org/10.1016/B978-0-12417104-6.00020-0
FAO (2006) Fertilizer use by crop in Zimbabwe. Land and plant nutrition management service.
Land and water development division. Food and Agriculture Organization of the United
Nations, Rome
Folberth C, Yang H, Gaiser T et al (2013) Modeling maize yield responses to improvement in
nutrient, water and cultivar inputs in sub-Saharan Africa. Agric Syst 119:22–34
Folberth C, Skalsky R, Moltchanova E et al (2016) Uncertainty in soil data can outweigh climate
impact signals in global crop yield simulations. Nat Commun 7:11872. https://doi.org/10.1038/
ncomms11872
GGCA (2012) Gender climate change and food security. Policy brief. Global Gender and Climate
Alliance, United Nations Development Programme, New York
Holzworth D, Huth NI, Fainges J et al (2015) APSIM next generation: the final frontier. In: Weber
T, McPhee MJ, Anderssen RS (eds) MODSIM2015, 21st international congress on modelling
and simulation. Modelling and Simulation Society of Australia and New Zealand, December
2015, p 490–496. Available from: www.mssanz.org.au/modsim2015/B4/walmsley.pdf
Hoogenboom G, Jones JW, Wilkens PW et al (2010) Decision support system for agrotechnology
transfer (DSSAT) version 4.5 [CD-ROM]. University of Hawaii, Honolulu
ICRISAT (2008) Crop-livestock water productivity project household survey (Nkayi District,
Zimbabwe). International Crops Research Institute for the Semi-Arid Tropics, Harare
Ioras F, Bandara I, Kemp C (2014) Introduction to climate change and land degradation. In:
Arraiza MP, Santamarta JC, Ioras F et al (eds) Climate change and restoration of degraded
land. Colegio de Ingenieros de Montes, Madrid, pp 15–48
Jones JW, Hoogenboom G, Porter CH et al (2003) DSSAT cropping system model. Eur J Agron
18:235–265
Kang SZ, Zhang FC, Hu XT et al (2002) Benefits of CO 2 enrichment on crop plants are modified
by soil water. Plant Soil 238(1):69–77. https://doi.org/10.1023/A:1014244413067
Lisk F (2009) The current climate change situation in Africa. In: Besada H, Sewankambo NK (eds)
Climate change in Africa: adaptation, mitigation and governance challenge. The Centre for
International Governance Innovation, Waterloo, pp 8–15
Makinen H, Kaseva J, Virkajarvi P et al (2017) Shifts in soil-climate combination deserve attention. Agric For Meteorol 234–235:236–246
Masikati P (2011) Improving the water productivity of integrated crop-livestock systems in the
semi-arid tropics of Zimbabwe: ex-ante analysis using simulation modeling. Dissertation,
Centre for Development Research (ZEF), University of Bonn
Masikati P, Manschadi A, van Rooyen A et al (2014) Maize–mucuna rotation: an alternative technology to improve water productivity in smallholder farming systems. Agric Syst 123:62–70
Masikati P, Homann-KeeTui S, Descheemaeker K et al (2015) Crop-livestock intensification in
the face of climate change: exploring opportunities to reduce risk and increase resilience in
Southern Africa using an integrated multi-modeling approach. In: Rosenzweig C, Hillel D (eds)
Handbook of climate change and agroecosystems: the Agricultural Model Intercomparison
and Improvement Project (AgMIP) integrated crop and economic assessments, ICP Series on
5 Understanding the Role of Soils and Management on Crops in the Face of Climate…
Acknowledgements In this paper we use the Agricultural Model Intercomperison Project
approach (AgMIP, www.agmip.org), using the case study of the crop-livestock Intensification
Project (CLIP). UKAID and USDA funded the research. We are grateful to communities in Nkayi
district, Matabeleland North and Zimbabwe national stakeholders for their contributions. The
research contributes to CGIAR research program CCAFS.
References
Asseng S, Zhu Y, Wang E et al (2015) Crop modeling for climate change impact and adaptation. In: Crop physiology: applications for genetic improvement and agronomy, 2nd edn.
Elsevier, London, Waltham, San Diego, pp 505–546. https://doi.org/10.1016/B978-0-12417104-6.00020-0
FAO (2006) Fertilizer use by crop in Zimbabwe. Land and plant nutrition management service.
Land and water development division. Food and Agriculture Organization of the United
Nations, Rome
Folberth C, Yang H, Gaiser T et al (2013) Modeling maize yield responses to improvement in
nutrient, water and cultivar inputs in sub-Saharan Africa. Agric Syst 119:22–34
Folberth C, Skalsky R, Moltchanova E et al (2016) Uncertainty in soil data can outweigh climate
impact signals in global crop yield simulations. Nat Commun 7:11872. https://doi.org/10.1038/
ncomms11872
GGCA (2012) Gender climate change and food security. Policy brief. Global Gender and Climate
Alliance, United Nations Development Programme, New York
Holzworth D, Huth NI, Fainges J et al (2015) APSIM next generation: the final frontier. In: Weber
T, McPhee MJ, Anderssen RS (eds) MODSIM2015, 21st international congress on modelling
and simulation. Modelling and Simulation Society of Australia and New Zealand, December
2015, p 490–496. Available from: www.mssanz.org.au/modsim2015/B4/walmsley.pdf
Hoogenboom G, Jones JW, Wilkens PW et al (2010) Decision support system for agrotechnology
transfer (DSSAT) version 4.5 [CD-ROM]. University of Hawaii, Honolulu
ICRISAT (2008) Crop-livestock water productivity project household survey (Nkayi District,
Zimbabwe). International Crops Research Institute for the Semi-Arid Tropics, Harare
Ioras F, Bandara I, Kemp C (2014) Introduction to climate change and land degradation. In:
Arraiza MP, Santamarta JC, Ioras F et al (eds) Climate change and restoration of degraded
land. Colegio de Ingenieros de Montes, Madrid, pp 15–48
Jones JW, Hoogenboom G, Porter CH et al (2003) DSSAT cropping system model. Eur J Agron
18:235–265
Kang SZ, Zhang FC, Hu XT et al (2002) Benefits of CO 2 enrichment on crop plants are modified
by soil water. Plant Soil 238(1):69–77. https://doi.org/10.1023/A:1014244413067
Lisk F (2009) The current climate change situation in Africa. In: Besada H, Sewankambo NK (eds)
Climate change in Africa: adaptation, mitigation and governance challenge. The Centre for
International Governance Innovation, Waterloo, pp 8–15
Makinen H, Kaseva J, Virkajarvi P et al (2017) Shifts in soil-climate combination deserve attention. Agric For Meteorol 234–235:236–246
Masikati P (2011) Improving the water productivity of integrated crop-livestock systems in the
semi-arid tropics of Zimbabwe: ex-ante analysis using simulation modeling. Dissertation,
Centre for Development Research (ZEF), University of Bonn
Masikati P, Manschadi A, van Rooyen A et al (2014) Maize–mucuna rotation: an alternative technology to improve water productivity in smallholder farming systems. Agric Syst 123:62–70
Masikati P, Homann-KeeTui S, Descheemaeker K et al (2015) Crop-livestock intensification in
the face of climate change: exploring opportunities to reduce risk and increase resilience in
Southern Africa using an integrated multi-modeling approach. In: Rosenzweig C, Hillel D (eds)
Handbook of climate change and agroecosystems: the Agricultural Model Intercomparison
and Improvement Project (AgMIP) integrated crop and economic assessments, ICP Series on
5 Understanding the Role of Soils and Management on Crops in the Face of Climate…