Agronomy for Sustainable Development

, Volume 29, Issue 2, pp 247–256 | Cite as

Adaptation assessments for crop production in response to climate change in Cameroon

Research Article

Abstract

The Cameroonian agricultural sector, a critical part of the local ecosystem, is potentially vulnerable to climate change, thus raising concerns about food security in the country’s future. Adaptations policies may be able to mitigate some of this vulnerability. This article addresses the issue of selected adaptation options within the context of Cameroonian food production. A methodology is applied where transient diagnostics of two atmosphere-ocean general circulation models, the NASA/Goddard Institute GISS and the British HadCM3, are coupled to a cropping system simulation model (CropSyst). This methodology simulates current and future (2020, 2080) crop yields for selected key crops such as bambara nut, groundnut, maize, sorghum, and soybean, in eight agricultural regions of Cameroon. Our results show that for the future, substantial yield increases are estimated for bambara groundnut, soybean and groundnut, while little or no change or even decreases for maize and sorghum yields, varying according to the climate scenario and the agricultural region investigated. Taking the “no regrets” principle into consideration, we also explore the advantages of specific adaptation strategies specifically for three crops, maize, sorghum and bambara groundnut, under GISS A2 and B2 marker scenarios only. Here, changing sowing dates may be ineffective in counteracting adverse climatic effects because of the narrow rainfall band that strictly determines the timing of farm operations in Cameroon. In contrast, the possibility of developing later maturing new cultivars proved to be very effective in offsetting adverse impacts, giving the highest increases in productivity under different scenario projections without management changes. For example, under climate change scenario GISS A2 2080, a 14.6% reduction in maize yield was converted to a 32.1% increase; a 39.9% decrease in sorghum yield was converted to a 17.6% increase, and for bambara groundnut, yields were almost trebled due to increase length of growing period and the positive effects of higher CO2 concentrations. These results better inform wider studies and development strategies on sustainable agriculture in the area by providing an indication as to the potential direction in shifts in production capabilities. Our approach highlights the benefit of using models as tools to investigate potential climate change impacts, where results can supplement existing knowledge. The findings also provide useful guidance and motivation to public authorities and development agencies interested in food security issues in Cameroon and elsewhere.

Cameroon agriculture climate change policies food security 

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References

  1. Abraha M.G., Savage M.J. (2006) Potential impacts of climate change on the grain yield of maize for the midland of Kwazulu-Natal, South Africa, Agr. Ecosyst. Environ. 115, 150–160.CrossRefGoogle Scholar
  2. Adger W.N., Arnell N.W., Tompkins E.L. (2005) Successful adaptation to climate change across scales, Global Environ. Chang. 15, 77–86.CrossRefGoogle Scholar
  3. AGRISTAT (2001) Semi-annual bulletin of the statistics of agricultural sector 2000/2001, DEPA, Ministry of Agriculture, Cameroon.Google Scholar
  4. Alexandrov V.A., Hoogenboom G. (2000) The impact of climate variability and change on crop yield in Bulgaria, Agr. Forest Meteorol. 104, 315–327.CrossRefGoogle Scholar
  5. Araus J.L., Slafer G.A., Reynolds M.P., Royo C. (2002) Plant Breeding and Drought in C3 Cereals: What Should We Breed For? Ann. Bot. 89, 925–940.PubMedCrossRefGoogle Scholar
  6. Asseng S., Van Herwaarden A., Setter T.L., Palta J.A. (2003) The impact of crop modelling on plant physiological research and breeding — an example, in: Solutions for a better environment, Proceedings of the 11th Australian Agronomy Conference, Geelong, Victoria, Australia, 2–6 February 2003, Published on CDROM ISBN 0-9750313-0-9, 4 p.Google Scholar
  7. Batjes N. (1995) A homogenised soil data file for global environmental research: a subset of FAO, ISRIC and NRCS profiles (version 1.0). Working paper 95/10. International Soil Reference Information Center (ISRIC), Wageninger, The Netherlands.Google Scholar
  8. Bellocchi G., Maestrini C., Fila G., Fontana F. (2002) Assessment of the effects of climate change and elevated CO2: a case study in Northern Italy, VII European Society for Agronomy Congress, Cordoba, Spain, 15–18 July 2002, pp. 763–764.Google Scholar
  9. Brassard J., Singh B. (2008) Impacts of climate change and CO2 increase on agricultural production and adaptation options for Southern Québec, Canada, Mitigation and Adaptation Strategies for Global Climate Change 13, 241–265.CrossRefGoogle Scholar
  10. Butt T.A., Mccarl B.A., Angerer J., Dyke P.T., Stuth J.W (2005) The Economic and food security implications of climate change in Mali, Climatic Change 68, 355–378.CrossRefGoogle Scholar
  11. Carbone G.J., Kiechle W., Locke C., Mearns L.O., McDaniel L., Downton M.W. (2003) Response of soybean and Sorghum to varying spatial scales of climate change scenarios in the South-eastern United States, Climatic Change 60, 73–98.CrossRefGoogle Scholar
  12. Challinor A.J., Wheeler T.R., Craufurd P.Q., Ferro C.A.T., Stephenson D.B. (2007a) Adaptation of crops to climate change through genotypic responses to mean and extreme temperatures, Agr. Ecosyst. Environ. 119, 190–204.CrossRefGoogle Scholar
  13. Challinor A.J., Wheeler T.R., Garforth C., Craufurd P.Q., Kassam A. (2007b) Assessing the vulnerability of food crop systems in Africa to climate change, Climatic Change 83, 381–399.CrossRefGoogle Scholar
  14. Confalonieri R., Gusberti D., Bocchi S., Acutis M. (2006) The CropSyst model to simulate the N balance of rice for alternative management, Agron. Sust. Dev. 26, 241–249.CrossRefGoogle Scholar
  15. Ellis R.H., Hadley P., Roberts E.H., Summerfield R.J. (1990) Relations between temperature and crop development, in: Jackson M.M., Ford-Lloyd B.V., Parry M.L. (Eds.), Climatic Change and Plant Genetic Resource, Belhaven Press, London pp. 85–115.Google Scholar
  16. FAO (2007) Marker-Assisted Selection, in: Guimarães E.P., Ruane J., Scherf B.D., Sonnino A., Dargie J.D. (Eds.), Current status and future perspectives in crops, livestock, forestry and fish (available at ftp://ftp.fao.org/docrep/fao/010/a1 120e/a1 120e.pdf), Rome.Google Scholar
  17. Farre I. (1998) Maize (Zea mays L.) and Sorghum (sorghum bicolor L. Moench) response to deficit irrigation. Agronomy and Modelling, PhD Dissertation, University of Lieida, Spain, 150 p.Google Scholar
  18. Gbetibouo G.A., Hassan R. (2004) Measuring the economic impact of climate change on major South African filed crops: a Ricardian approach, Global Planet. Change 47, 143–152.CrossRefGoogle Scholar
  19. Gordon C., Cooper C., Senior C.A., Banks H., Gregory J.M., Johns T.C., Mitchell J.F.B., Wood R.A. (2000) The Simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments, Clim. Dynam. 16, 147–168.CrossRefGoogle Scholar
  20. Hansen J.E., Sato M.K.I., Lacis A., Ruedy R., Tegen I., Matthews E. (1998) Perspective: Climate forcings in the industrial era, Proc. Natl Acad. Sci. USA 95, 12753–12758.PubMedCrossRefGoogle Scholar
  21. Hoffmann M.J. (2007) Contesting the Global Response to Climate Change: A Research Agenda for Examining Experiments in Climate Governance. Amsterdam Conference on the Human Dimensions of Global Environmental Change, 24–26 May 2007, Vrije Universiteit Amsterdam, 2 p.Google Scholar
  22. Houghton J., Meira L.G., Callander B.A., Harris N., Kattenberg A., Maskell K. (Eds.) (1996) The Science of Climate Change (Vol. 1), The second assessment Report of IPCC, 570 p.Google Scholar
  23. IPCC (2001) Climate change 2001: Impacts, Adaptation, and Vulnerability, a contribution of working group II to the Third assessment Report of the IPCC, Cambridge University Press, 1032 p.Google Scholar
  24. IPCC (2007) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, in: Solomon S., Qin D., Manning M., Chen Z., Marquis M., Averyt K.B., Tignor M., Miller H.L. (Eds.), Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 p.Google Scholar
  25. Johns T.C., Gregory J.M., Ingram C.E., Johnson C.E., Jones A., Lowe J.A., Mitchell J.F.B., Roberts D.L., Sexton D.M.H., Stevenson D.S., Tett S.F.B., Woodage M.J. (2003) Anthropogenic climate change for 1860–2100 simulated with the HadCM3 model under updated emissions scenarios, Clim. Dynam. 20, 583–612.Google Scholar
  26. Kaiser H.M., Riha S.J., Wilks D.S., Rossier D.G., Sampath R. (1993) A farm-land analysis of economic and agronomic impacts of global warming, Am. J. Agr. Econ. 75, 263–286.CrossRefGoogle Scholar
  27. Kurukulasuriya P., Mendelsohn R., Hassan R. (2006) Will African Agriculture Survive Climate Change, World Bank Econ. Rev. 20 367–388.CrossRefGoogle Scholar
  28. McCarthy J.J., Canziani O.F., Leary N.A., Dokken D.J., Kasey S.W. (Eds.) (2001) Climate Change 2001: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the IPCC Third Assessment Report. Cambridge University Press, Cambridge, UK, 1032 p.Google Scholar
  29. McMaster G.S., Wilhelm W.W. (1997) Growing degree-days: one equation, two interpretations, Agr. Forest Meteorol. 87, 291–300.CrossRefGoogle Scholar
  30. Mendelsohn R., Nordhaus W.D., Shaw D. (1994) The impacts of climatic change on agriculture: a Ricardian analysis, Am. Econom. Rev. 84, 753–771.Google Scholar
  31. Molua E.L. (2003) Global climate change and Cameroon’s Agriculture: evaluating the economic impacts, PhD dissertation In Institute of Agricultural Economics, Vol. PhD, 199 Goettingham: Georg-August University, Germany, 94 p.Google Scholar
  32. Molua E.L. (2006) Climate trends in Cameroon: implications for agricultural management, Climate Res. 30, 255–262.CrossRefGoogle Scholar
  33. Molua E.L., Lambi C.M. (2006) The economic impact of climate change on agriculture in Cameroon. CEEPA Discussion paper No. 17, Centre for Environmental Economics and Policy in Africa, University of Pretoria.Google Scholar
  34. Molua E.L., Utomakili J.B. (1998) An Analysis of Resource-Use Efficiency in Banana Production in the South West Province of Cameroon, Int. J. Trop. Agr. 16, 113–118.Google Scholar
  35. Ndemah R.N. (1999) Towards an integrated crop management strategy for the African stalk borer Busseola fusca (Fuller) (Lepidoptera: Noctuidae) in maize systems in Cameroon, PhD Thesis, University of Hannover, Hannover, Germany, 145 p.Google Scholar
  36. Njie M., Gomez M.E.H., Callaway J.M., Jallow B.P., Droogers P. (2006) Making Economic Sense of Adaptation in the Upland Cereal Production Systems in the Gambia, AIACC Working Paper No. 37.Google Scholar
  37. Onduru D.D., Du Preez C.C. (2007) Ecological and agro-economic study of small farms in sub-Saharan Africa, Agron. Sust. Dev. 27, 197–208.CrossRefGoogle Scholar
  38. Priestley C.H.B., Taylor R.J. (1972) On the assessment of surface heat flux and evaporation using large-scale parameters, Mon. Weather Rev. 100, 81–82.CrossRefGoogle Scholar
  39. Rawson H.M. (1992) plant responses to temperature under conditions of elevated CO2, Aust. J. Bot. 40, 473–490.CrossRefGoogle Scholar
  40. Reilly J. (1995) Climate change and global agriculture: Recent findings and issues, Am. J. Agr. Econ. 77, 727–733.CrossRefGoogle Scholar
  41. Reilly J., Schimmelpfenning D. (1999) Agricultural impact assessment, vulnerability, and the scope for adaptation, Climatic Change 43, 745–788.CrossRefGoogle Scholar
  42. Richards L.A. (1931) Capillary conduction of liquids in porous mediums, Phys. 1, 318–333.CrossRefGoogle Scholar
  43. Rivington M., Matthews K.B., Bellocchi G., Buchan K., Stöckle C.O., Donatelli M. (2006) An integrated assessment approach to conduct analyses of climate change impacts on whole-farm systems, Environ. Modell. Softw. 22, 202–210.CrossRefGoogle Scholar
  44. Rosenzweig C. (1989) Potential Effects of Climate Change on Agricultural Production in the Great Plains: A simulation Study, in: Smith J., Tirpak D. (Eds.), The potential effects of global climate change on the United States, Vol. 1, Appendix C, Office of Policy, Planning and Evaluation, U.S. Environmental Protection Agency, Washington, DC, pp. 3–43.Google Scholar
  45. Rosenzweig C., Hillel D. (1998) Climate change and the global harvest, in PBD: 1998, 323 p.; PL: United States: Oxford University Press, New York, NY.Google Scholar
  46. Rosenzweig C., Iglesias A., Yang X., Epstein P., Chivian E. (2001) Climate change and extreme weather events: implication for food production, plant diseases and pest, Global Change Human Health 2, 90–104.CrossRefGoogle Scholar
  47. Rosenzweig C., Tubiello F.N. (2007) Adaptation and mitigation strategies in agriculture: an analysis of potential synergies, Mitigation and Adaptation Strategies for Global Climate Change 12, 855–873.CrossRefGoogle Scholar
  48. Salinger M.J., Stigter C.J., Das H.P. (2000) Agro meteorological adaptation strategies to increasing climate variability and climate change, Agr. Forest Meteorol. 103, 167–184.CrossRefGoogle Scholar
  49. Sommer R., Kienzler K., Conrad C., Ibragimov N., Lamers J., Martius C., Vlek P. (2008) Evaluation of the CropSyst model for simulating the potential yield of cotton, Agron. Sustain. Dev. 28, 345–354.CrossRefGoogle Scholar
  50. Smith B., Skinner M. (2002) Adaptation options in agriculture to climate change: a topology, Mitigation and Adaptation Strategies for Global Climate Change 7, 85–114.CrossRefGoogle Scholar
  51. Smith B., Wandel J. (2006) Adaptation, adaptive capacity and vulnerability, Global Environ. Chang. 16, 282–292.CrossRefGoogle Scholar
  52. Stöckle C.O., Donatelli M., Nelson R. (2003) CropSyst, a cropping systems simulation model, Eur. J. Agron. 18, 289–307.CrossRefGoogle Scholar
  53. Tingem M., Rivington M., Azam Ali S.N., Colls J.J. (2007) Assessment of the ClimGen stochastic weather generator at Cameroon sites, Afr. J. Environ. Sci. Technol. 1, 86–92.Google Scholar
  54. Tingem M., Rivington M., Bellocchi G., Colls J.J. (2008a) Crop Yield Model Validation for Cameroon, Theor. Appl. Climatol., doi: 10.1007/s00704-008-0030-8.Google Scholar
  55. Tingem M., Rivington M., Azam Ali S.N., Colls J.J. (2008b) Climate variability and maize production in Cameroon: simulating the effects of extreme dry and wet years, Singapore J. Trop. Geogr., in press.Google Scholar
  56. Tingem M., Rivington M., Bellocchi G., Azam-Ali S., Colls J. (2008c) Effects of climate change on crop production in Cameroon, Climate Res. 36, 65–77.CrossRefGoogle Scholar
  57. Walther G., Convey P., Menzel A., Parmesank C., Beebee T., Fromentin J., Hoegh-Guldberg O., Bairlein F. (2002) Ecological responses to recent climate change, Nature 416, 389–395.PubMedCrossRefGoogle Scholar
  58. Weibull W. (1961) Fatigue testing and analysis of results, Pergamon Press Oxford, United Kingdom, 225 p.Google Scholar
  59. Winters P., Murgai R., Sadoulet E., De Janvry A., Frisvold G. (1998) Economic and Welfare Impacts of climate change on Developing Countries, Environ. Resource Econ. 12, 1–24.CrossRefGoogle Scholar
  60. World Bank (2007) World Development Indicators Database [avaliable at http://devdata.worldbank.org/ accessed on 24 July 2007].Google Scholar
  61. Young K.J., Long S.P., Allen L.H.J., Boote K.J. (2000) Crop ecosytem response to climatic change: maize, sorghum and soybean, in: Reddy K.R., Hodges H.F. (Eds.), Climate Change and Crop Productivity, CAB International Cambridge, pp. 57–80.Google Scholar

Copyright information

© Springer S+B Media B.V. 2009

Authors and Affiliations

  • Munang Tingem
    • 1
  • Mike Rivington
    • 2
  • Gianni Bellocchi
    • 3
  1. 1.Agriculture & Environmental Science Division, School of BioscienceUniversity of NottinghamUK
  2. 2.Macaulay InstituteCraigiebucklerScotland
  3. 3.Agrichiana Farming - MontepulcianoItaly

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