Abstract
Agricultural meteorologists are concerned with many operational aspects of the effects of climate on crop production, livestock, and natural resource management. For them to continue to make a contribution to the economy of a country they must continually sharpen their skills and remain updated on the latest available information. Training should include a variety of skills, including transferable skills (e.g. communication, numeracy), professional skills (including cognitive skills) and information technology skills. Problem-based learning can be used to promote critical thinking, decision making and analytical skills. More use should be made of computer-aided learning for agricultural meteorologists’ in-service training. In particular, the Internet or CDs could be used to disseminate specific recently developed techniques and applications to improve the understanding of the variability in climate and its effect on agricultural production and natural resource management. Examples that can address the vulnerability of farmers include crop–climate matching, the use of indices, crop modelling and risk assessment together with seasonal outlooks. A strategy needs to be formulated to address these needs and implement changes in the education and training of agricultural meteorologists. These training needs must be constantly updated to meet the changing demands of new technology to cope with climate change and climate variability.
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References
Anderson, J. R. and Dilion, J. L.: 1992, Risk Analysis in Dryland Farming Systems, FAO Farm Systems Management Series, FAO UN, Rome, p. 109.
Biggs, J.: 1999, Teaching for Quality Learning at University, Society for Research into Higher Education, Open University Press, Buckingham, p. 250.
Boud, D. and Feletti, G.: 1999, The Challenge of Problem-Based Learning, 2nd edn., Kogan Page, London, p. 344.
Doorenbos, J. and Kassam, A. H.: 1979, Yield Response to Water, FAO Irrigation & Drainage Paper #33, UN, Rome, p. 193.
Doorenbos, J. and Pruit, W. O.: 1992, Guidelines for Predicting Crop Water Requirements, FAO Irrigation & Drainage Paper #24, 2nd edn., UN, Rome, p. 156.
FAO: 1990, Guidelines for the Conduct of a Training Course in Farming Systems Development, FAO Farm Systems Management Series, FAO, UN, Rome, p. 259.
Floor, K.: 2001, Fostering Work Based Learning with CAL, in Proceeding of the Conference on Computer-Aided Learning and Distance Learning in Meteorology and Hydrology, Recife, Brazil, http://www.met.ed.ac.uk/calmet/conferences01/cd/floor.html. www.met.ed.ac.uk/calmet/conferences01/cd/floor.html.
Gibbs, G.: undated, ‘Developing students’ transferable skills’, OCSLD, Oxford Brookes University, Oxford, p. 51.
Hammer, G. L. and Nichols, N. N.: 1996, ‘Managing the climate variability – the role of seasonal climate forecasting in improving agricultural systems’, in Proceedings of the Second Australian Conference on Agromet, Brisbane.
Lomas, J., Milford, J. R., and Mukhala, E.: 2000, ‘Education and training in agricultural meteorology: Current status and future needs’, Agric. Forest Meteor. 103, 197–208.
Mason, S. J., Joubert, A. M., Ccosjin, C., and Crimp, S. J.: 1996, ‘Review of seasonal forecasting techniques and their applicability to Southern Africa’, Water S. A. 22, 203–209.
McMaster, G. S. and Wilhelm, W. W.: 1997, ‘Growing degree days: One equation, two interpretations’, Agric. Forest Meteor. 87, 291–300.
Muchow, R. C., Hammer, G. L., and Carberry, P. S.: 1991, ‘Optimising crop and cultivar selection in response to climatic risk’, in Muchow, R. C. and Bellamy, J. A. (eds.), Climatic Risk in Crop Production: Models and Management for the Semi-Arid Tropics and Subtropics, CAB International, UK, London, pp. 235–262.
Rosenberg, N. J., Blad, B. L., and Verma, S. B.: 1983, Microclimate: The Biological Environment, 2nd edn., Wiley, New York, p. 495.
Singels, A. and de Jager, J. M.: 1991, ‘Evaluating different wheat production strategies for the OFS using stochastic dominance techniques and a crop growth model’, S.A. J. Plant Soil 8(3), 113–118.
Spangler, T. and Fulker, D.: 2001, ‘MeteoForum: An international network of meteorological training centers’, in Proceedings of the Conference on Computer-Aided Learning and Distance Learning in Meteorology and Hydrology, Recife, Brazil, http://www.met.ed.ac.uk/calmet/conferences01/cd/spangler.html..
Sys, C., van Ranst, E., and Debaveye, J.: 1991, ‘Land evaluation’, Vol. 1, Principles in Land Evaluation and Crop Production Calculations, Vol. 2, ‘Methods in Land Evaluation’; Vol. 3, ‘Crop Requirements’, International Training Center for Post-Graduate Soil Scientists, University Ghent, Ghent.
Walker, S.: 2002, ‘The application of problem-based learning in a final year agrometeorology class. OCSLD’, in Carroll, J. (ed.), Proceedings of Bram Fischer Symposium, Oxford Brookes University, Oxford.
Walker, S., Mukhala, E., Van den Berg, W. J., and Manley, C. R.: 2001, Assessment of Communication and Use of Climate Outlooks and Development of Scenarios to Promote Food Security in the Free State Province of South Africa, Final Report to Drought Monitoring Center, Harare, Zimbabwe, p. 163.
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Walker, S. Role of Education and Training in Agricultural Meteorology to Reduce Vulnerability to Climate Variability. Climatic Change 70, 311–318 (2005). https://doi.org/10.1007/s10584-005-5952-x
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DOI: https://doi.org/10.1007/s10584-005-5952-x