Spatial modeling of risk in natural resource management

Ecology and Society

Volumn 5, Issue 2, 2002, Pages

  Jones, Peter G ^a   Thornton, Philip K ^b  

^a INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE CIAT   (Colombia)

^b International Livestock Research Institute

Author keywords

Crop modeling; Dryland agriculture; Global change; Global Circulation Model; Maize; Markov models; MarkSim; Natural resource management; Risk; Southern Africa; Spatial modeling; Weather simulation

Indexed keywords

EID: 54249125103     PISSN: 17083087     EISSN: 17083087     Source Type: Journal    
DOI: 10.5751/es-00324-050227     Document Type: Article

References (32)

1. Batjes, N. H., editor. 1995. A homogenized 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 and Information Centre (ISRIC), Wageningen, The Netherlands.
2. Batjes, N. H., and E. M. Bridges. 1994. Potential emissions of radiatively active trace gases from soil to atmosphere with special reference to methane: development of a global database (WISE). Journal of Geophysical Research 99(D8):16, 479-489.
3. Cullen, M. J. P. 1993. The unified forecast/climate model. The Meteorological Magazine 122:81-95.
4. Durand, W., and A. S. du Toit. 2000. Using crop growth models and GIS to address issues influencing sustainability in the short, medium and long term. Pages 101-105 in W. Durand and A. S. du Toit, editors. Proceedings of the Highveld Ecoregion Workshop on Methodology and Strategy Development Using Systems Analysis for Sustainability in the South African Highveld Ecoregion. ARC-Grain Crops Institute, Potchefstroom, South Africa.
5. Eastman, J. R. 1993. IDRISI Version 4.1 Technical Reference Manual. Clark University, Worcester, Massachusetts, USA.
6. FAO (Food and Agriculture Organization). 1974. FAO-UNESCO soil map of the world 1:5 000 000. Volume 1, Legend. UNESCO, Paris, France, and FAO, Rome, Italy.
7. FAO (Food and Agriculture Organization). 1978. Report on the AgroEcological Zones project. Volume 1. Methodology and results for Africa. World Soil Resources Report 48. UNESCO, Paris, France, and FAO, Rome, Italy.
8. FAO (Food and Agriculture Organization). 1995. Digital soil map of the world and derived soil properties. Version 3.5. Land and Water Digital Media Series 1, FAO, Rome, Italy.
9. Hartkamp, A. D., K. de Beurs, A. Stein, and J. W. White. 1999. Interpolation techniques for climate variables. NRG-GIS Series 99-01. International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.
10. Hassan, R. M., editor. 1998. Maize technology development and transfer. A GIS application for research planning in Kenya. CAB International, Wallingford, UK.
11. Hulme, M., editor. 1996. Climate change and southern Africa: An exploration of some potential impacts and implications in the SADC region. Report commissioned by WWF International and co-ordinated by the Climatic Research Unit, University of East Anglia, Norwich, UK.
12. IPCC (Intergovernmental Panel on Climate Change). 2001a. The regional impacts of climate change: an assessment of vulnerability. [Online] URL: http://www.ipcc.ch/
13. IPCC (Intergovernmental Panel on Climate Change). 2001b. Climate change 2001: the scientific basis. Working Group 1 contribution to the IPCC Third Assessment Report. [Online] URL: http://www.ipcc.ch/
14. Johns, T. C., R. E. Carnell, J. F. Crossley, J. M. Gregory, J. F. B. Mitchell, C. A. Senior, S. F. B. Tett, and R. A. Wood. 1997. The second Hadley Centre coupled ocean-atmosphere GCM: model description, spinup and validation. Climate Dynamics 13:103-134.
15. Jones, P. G., and P. K. Thornton. 1993. A rainfall generator for agricultural applications in the tropics. Agricultural and Forest Meteorology 63:1-19.
16. Jones, P. G., and P. K. Thornton. 1997. Spatial and temporal variability of rainfall related to a third-order Markov model. Agricultural and Forest Meteorology 86:127-138.
17. Jones, P. G., and P. K. Thornton. 1999. Fitting a third-order Markov rainfall model to interpolated climate surfaces. Agricultural and Forest Meteorology 97:213-231.
18. Jones, P. G., and P. K. Thornton. 2000. MarkSim: Software to generate daily weather data for Latin America and Africa. Agronomy Journal 92(3):445-453.
19. McDermott, J. J., P. M. Kristjanson, R. L. Kruska, R. S. Reid, T. P. Robinson, P. G. Coleman, P. G. Jones, and P. K. Thornton. 2001. Effects of climate, human population and socio-economic changes on tsetse-transmitted trypanosomosis to 2050. In S. J. Black and J. R. Seed, editors. World class parasites. Volume 1. The African Trypanosomes. Kluwer Academic Press, Dordrecht, The Netherlands. In press.
20. Mitchell, J. F. B., T. C. Johns, J. M. Gregory, and S. Tett. 1995. Climate response to increasing levels of greenhouse gases and sulphate aerosols. Nature 376:501-504.
21. Muchena, P., and A. Iglesias. 1995. Vulnerability of maize yields to climate change in different farming sectors in Zimbabwe. Pages 229-239 in C. Rosenzweig, L. H. Allen Jr., L. A. Harper, S. E. Hollinger, and J. W. Jones, editors. Climate change and agriculture: analysis of potential international impacts. American Society of Agronomy. Special Publication Number 59. Madison, Wisconsin, USA.
22. NOAA (National Oceanographic and Atmospheric Administration). 1984. TGP-OO6 D. Computer-compatible tape. NOAA, Boulder, Colorado, USA.
23. Richardson, C. W. 1985. Weather simulation for crop management models. Transactions of the American Society of Agricultural Engineers 28(5):1602-1606.
24. Ritchie, J. T., U. Singh, D. C. Godwin, and W. T. Bowen. 1998. Cereal growth, development and yield. Pages 79-98 in G. Y. Tsuji, G. Hoogenboom, and P. K. Thornton, editors. Understanding options for agricultural production. Kluwer Academic, Dordrecht, The Netherlands.
25. Rogers, D. J., and S. E. Randolph. 2000. The global spread of malaria in a future, warmer world. Science 289:1763-1766.
26. Schulze, R. 2000. Transcending scales of space and time in impact studies of climate and climate change on agrohydrological responses. Agriculture, Ecosystems and Environment 82:185-212.
27. Staal, S. J., S. Ehui, and J. C. Tanner. 2001. Livestock-environment interactions under intensifying production. Pages 345-364 in D. R. Lee and C. B. Barrett, editors. Tradeoffs or synergies? Agricultural intensification, economic development and the environment. CAB International, Wallingford, UK.
28. Thornton, P. K., and M. Herrero. 2001. Integrated crop-livestock simulation models for scenario analysis and impact assessment. Agricultural Systems 70(2-3):581-602.
29. Thornton, P. K., and P. W. Wilkens. 1998. Risk assessment and food security. Pages 329-346 in G. Y. Tsuji, G. Hoogenboom, and P. K. Thornton, editors. Understanding options for agricultural production. Kluwer Academic, Dordrecht, The Netherlands.
30. Thornton, P. K., A. R. Saka, U. Singh, J. D. T. Kumwenda, J. E. Brink, and J. B. Dent. 1995. Application of a maize crop simulation model in the central region of Malawi. Experimental Agriculture 31:213-226.
31. Tsuji, G. Y., G. Hoogenboom, and P. K. Thornton, editors. 1998. Understanding options for agricultural production. Kluwer Academic, Dordrecht, The Netherlands.
32. Walker, T. S., and J. G. Ryan. 1990. Village and household economics in India's semi-arid tropics. Johns Hopkins University Press, Baltimore, Maryland, USA.