Assessing and addressing climate-induced risk in sub-Saharan rainfed agriculture: Lessons learned

Experimental Agriculture

Volumn 47, Issue 2, 2011, Pages 395-410

  Coe, R ^a   Stern, R D ^a,b  

^a UNIVERSITY OF READING   (United Kingdom)

^b WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 82455186106     PISSN: 00144797     EISSN: 14694441     Source Type: Journal    
DOI: 10.1017/S001447971100010X     Document Type: Article

References (34)

1. Barnett, B. J., Barrett, C. B. and Skees, J. R. (2008). Poverty traps and indexed-based risk transfer products. World Development 36: 1766-1785.
2. Cheke, R. A., Venn, J. F. and Jones, P. J. (2007). Forecasting suitable breeding conditions for the red-billed quelea Quelea quelea in southern Africa. Journal of Applied Ecology 44: 523-533. (Pubitemid 46791178)
3. Cooper, P. J.Mand Coe, R. (2011). Assessing and addressing climate-induced risk in sub-Saharan rainfed agriculture. Foreword to a special issue of Experimental Agriculture Experimental Agriculture. 47: 179-184.
4. Cooper, P. J. M., Dimes, J., Rao, K. P. C., Shapiro, B. Shiferaw, B. and Twomlow, S. (2008). Coping better with current climatic variability in the rain-fed farming systems of sub-Saharan Africa: An essential first step in adapting to future climate change? Agriculture Ecosystems and Environment. 126: 24-35.
5. Coppola, E., Grimes, D. I. F., Verdecchia, M. and Visconti, G. (2006). Validation of improved TAMANN neural network for operational satellite-derived rainfall estimation in Africa. Journal of Applied Meteorology and Climatology 45: 1557-1572. (Pubitemid 46040293)
6. Diro, G. T., Grimes, D. I. F., Black, E., O'Neill, A. and Pardo-Iguzquiza, E. (2009). Evaluation of reanalysis rainfall estimates over Ethiopia. International Journal of Climatology 29: 67-78.
7. Dixit, P. N., Cooper, P. J. M., Rao, K. P. and Dimes, J. (2011). Adding value to field-based agronomic research through climate risk assessment: A case study of maize production in Kitale, Kenya. Experimental Agriculture 47: 317-338.
8. Farrow, F., Musoni, D., Cook, S. and Buruchara, R. (2011). Assessing the risk of root rots in common beans in East Africa using simulated, estimated and observed daily rainfall data Experimental Agriculture 47: 357-373.
9. Gallagher, J. and Stern, R. D. (2009). Analysing climatic data using Genstat for Windows. Statistical Services Centre, University of Reading, UK.
10. Gathenya, M., Mwangi, H., Coe, R. and Sang, J. (2011). Climate and land use-induced risks to watershed services in the Nyando river basin in Kenya. Experimental Agriculture 47: 339-356.
11. Hansen, J. W., Mason, S. J., Sun, L. and Tall, A. (2011). Review of seasonal climate forecasting for agriculture in sub-Saharan Africa. Experimental Agriculture 47: 205-240.
12. Hellmuth, M. E., Moorhead, A., Thomson, M. C. and Williams, J. (eds). (2007). Climate Risk Management in Africa: Learning from Practice. International Research Institute for Climate and Society (IRI), Palisades, NY.
13. IPCC (2007). Fourth Assessment Report. (www.ipcc.ch/publications-and- data/ar4/wg1/en/ch6s6-6.html).
14. IRI (2006). A Gap Analysis for the Implementation of the Global Climate Observing System Programme in Africa. International Research Institute for Climate and Society, Palisades, NY.
15. Jarvis, A., Lau, C., Cook, S., Bonilla, O. and Challinor, A. (2011). An integrated adaptation and mitigation framework for agricultural research development: synergies and trade-offs. Experimental Agriculture 47: 185-203.
16. Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J. and Ritchie, J. T. (2003). The DSSAT cropping system model. European Journal of Agronomy 18 235-265. (Pubitemid 36101016)
17. Jones, P. G. and Thornton, P. K. (2000). MarkSim: Software to generate daily weather data for Latin America and Africa. Agronomy Journal 92: 445-453. (Pubitemid 30343135)
18. Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D., Huth, N. I., Hargreaves, J. N. G.,Meinke, H., Hochman, Z., McLean, G., Verburg, K., Snow, V., Dimes, J. P., Silburn, M., Wang, E., Brown, S., Bristow, K. L., Asseng, S., Chapman, S., McCown, R. L., Freebairn, D. M. and Smith, C. J. (2003). An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18: 267-288. (Pubitemid 36101017)
19. Matthews, R. B. and Stephens, W. (2002). Crop-Soil Simulation Models: Applications in Developing Countries. CABI, Wallingford.
20. Meze-Hausken, E. (2004). Contrasting climate variability and meteorological drought with perceived drought and climate change in northern Ethiopia. Climate Research 27: 19-31. (Pubitemid 39224905)
21. Ouma, R., Mude, A. and van de Steeg, J. (2011). Dealing with climate-related risks: some pioneering ideas for enhanced pastoral risk management in Africa. Experimental Agriculture 47: 375-393.
22. Osbahr, H., Dorward, P., Stern, R. D. and Cooper, S. J. (2011). Supporting agricultural innovation in Uganda to respond to climate risk: linking climate change and variability with farmer perceptions. Experimental Agriculture 47: 293-316.
23. R Development Core Team (2009) R: A Language and Environment for Statistical Computing. R Foundation, Vienna, Austria.
24. Rao, K. P. C., Ndegwa, W. G., Kizito, K. and Oyoo, A. (2011). Climate variability and change: Farmer perceptions and understanding of intra-seasonal variability in rainfall and associated risk in semi-arid Kenya. Experimental Agriculture 47: 267-291.
25. Roncoli, C., Jost, C., Kirshen, P., Sanon, M., Ingram, K. T.,Woodin,M., Samé, L., Ouattara, F., Sanfo, B. J., Sia, C., Yaka, P. and Hoogenboom, G. (2009). From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change 92: 433-460.
26. Slegers, M. F. W. (2008). 'If only it would rain': Farmers' perceptions of rainfall and drought in semi-arid central Tanzania. Journal of Arid Environments 72: 2106-2123.
27. Stern, R. D. and Cooper, P. J. M. (2011). Assessing climate risk and climate change using rainfall data-a case study from Zambia. Experimental Agriculture 47: 241-266.
28. UNEP (2011). Land Health Surveillance: An evidence-based approach to land ecosystem management. illustrated with a case study in the West Africa Sahel. Main Report. United Nations Environment Programme, Nairobi. (In press)
29. University of Reading (2008). Instat+™-an Interactive Statistical Package. Statistical Services Centre, University of Reading, UK.
30. van de Steeg, J. A., Herrero, M., Kinyangi, J., Thornton, PK, Rao, KPC, Stern, R. D. and Cooper, P. J. M. (2009). The influence of climate variability and climate change on the agricultural sector in East and Central Africa - Sensitizing the ASARECA strategic plan to climate change. Research Report 22. International Livestock Research Institute, Nairobi, Kenya.
31. van Noordwijk, M., Lusiana, B. and Khasanah, N. (2004). WaNuLCAS Version 3.1, Background on a model of water nutrient and light capture in agroforestry systems. International Centre for Research in Agroforestry, Bogor, Indonesia.
32. VSN International 2010. GenStat for Windows 13th Edition. VSN International, Hemel Hempstead, UK.
33. WMO (World Meteorological Organization) (1983). Guide to Climatological Practices (2nd ed.). WMO, Geneva
34. WMO (World Meteorological Organization) (2007). The Role of Climatological Normals in a Changing Climate. World Climate Data and Monitoring Programme No 61. WMO, Geneva.