The role of climate-related information in pest management
- A. Weiss
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A distinction is made between climate information and climate-related information. The former pertains to any expression of climate data used for decision making. Climaterelated information for pest management results from quantifying relationships between host, environment, and pest and presenting the consequences of different actions, a decisionmaking format. It is suggested that in order to develop climate-related information for pest management, automated weather stations in climatological networks should be expanded from these site specific locations to crop specific locations. Combining physical and biological data can be the basis for developing or improving crop/pest interaction models and can also serve as a database for verifying existing models. These models can be run under different economic and climatic scenarios with different risk preferences to present end users with results from different pest management options.
- Agrios, G. N., 1988:Plant Pathology. 3rd ed. New York: Academic Press, 803 pp.
- Boggess, W. G., Ritchie, J. T., 1988: Economic and risk analysis of irrigation decisions in humid regions.J. Prod. Agric. 1, 116–122.
- Boote, K. J., Jones, J. W., Mishoe, J. W., Berger, R. D., 1983: Coupling pests to crop growth simulators to predict yield reductions.Phytopath. 73, 1581–1587.
- Boote, K. J., Jones, J. W., Hoogenboom, G., Wilkerson, G. G., 1987: PNUTGRO: A peanut crop growth and yield model. Agronomy Abstracts. 1987 Annual Meeting, November 29–December 4, 1987. Atlanta, GA.
- Changnon, S. A., Wendland, W. M., Vogel, J. L., 1987: Usage of near-real time climate information.J. Clim. Appl. Meteor. 26, 1072–1079.
- Gage, S. H., Russell, H. L., 1987: Pest surveillance systems in the USA — A case study using the Michigan Crop Monitoring System (CCMS). 209–224. In: P. S. Teng (ed.),Crop Loss Assessment and Pest Management. St. Paul, MN., APS Press, 270 pp.
- Gutierrez, A. P., Schulthess, F., Wilson, L. T., Villacorta, A. M., Ellis, C. K., Baumgaertner, J. U., 1987: Energy acquisition and allocation in plants and insects: A hypothesis for the possible role of hormones in insect feeding patterns.Can. Ent. 119, 109–129.
- Hesketh, J. D., Jones, J. W., 1976: Some comments on computer simulations for plant growth.Ecol. Modeling 2, 235–247.
- Hubbard, K. G., Rosenberg, N. J., Nielsen, D. C., 1983: Automated weather data network for agriculture.J. Water Resources Planning Management 109, 213–222.
- Hutchins, S. H., Higley, L. G., Pedigo, L. P., 1988: Injury equivalency as a basis for developing multiple-species economic injury levels.J. Econ. Entomol. 81, 1–8.
- Ives, P. M., Hearn, A. B., 1987: The SIRATAC system for cotton pest management in Australia. 251–268. In:Crop Loss Assessment and Pest Management, P. S. Teng (ed.). St. Paul, MN, APS Press, 270 pp.
- Johnson, K. B., 1987: Defoliation, disease and growth: A Reply.Phytopath. 77, 1495–1497.
- Jones, A. L., Fisher, P. D., Seem, R. C., Kroon, J. C., Van DeMotter, P. J., 1984: Development and commercialization of an infield microcomputer delivery system for weather driven predictive models.Plant Dis. 68, 458–464.
- MacKenzie, D. R., 1981: Scheduling fungicide applications for potato late blight with BLITECAST.Plant Dis. 65, 394–399.
- Monteith, J. L., 1977: Climate and the efficiency of crop production in Britain.Phil. Trans. R. Soc. Land. B. 281, 277–294.
- Mumford, J. D., 1981: A study of sugar beet growers' pest control decisions.Ann. Appl. Biol. 97, 243–252.
- Pedigo, L. P., Hutchins, S. H., Higley, L. G., 1986: Economicinjury levels in theory and practice.Ann. Rev. Entomol. 31, 341–368.
- Reynolds, J. F., Acock, B, 1985: Predicting the response of plants to increasing carbon dioxide: A critique of plant growth models.Ecol. Modeling 29, 107–129.
- Waggoner, P. E., Berger, R. D., 1987: Defoliation, disease and growth.Phytopath. 77, 393–398.
- Walker, P. T., 1987: Quantifying the relationship between insect populations, damage, yield and economic thresholds. 114–125. In: P. S. Teng (ed.),Crop Loss Assessment and Pest Management. St. Paul, MN, APS Press, 270 pp.
- Weiss, A, Robb, J. G., 1988: Systems and the business of agriculture.J. Prod. Agric. 1, 230–234.
- Wheatley, G. A., 1987: Changing scenes of crop protection.Ann. Appl. Biol. 11, 1–20.
- Zadoks, J. C., 1984: EPIPRE, a computer-based scheme for pest and disease control in wheat. 215–225. In:Cereal Production, E. J. Gallagher (ed.). London, U. K., Butterworths, 354 pp.
- Zadoks, J. C., 1985; On the conceptual basis of crop loss assessment: The threshold theory.Ann. Rev. Phytopath. 23, 455–473.
- The role of climate-related information in pest management
Theoretical and Applied Climatology
Volume 41, Issue 1-2 , pp 87-92
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- A. Weiss (1)
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- 1. Center for Agricultural Meteorology and Climatology, Institute of Agriculture and Natural Resources, University of Nebraska, Lincoln, Nebraska, USA