Complexity in climate-change impacts: an analytical framework for effects mediated by plant disease
Article
Article Title | Complexity in climate-change impacts: an analytical framework for effects mediated by plant disease |
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ERA Journal ID | 2652 |
Article Category | Article |
Authors | Garrett, K. A. (Author), Forbes, G. A. (Author), Savary, S. (Author), Skelsey, P. (Author), Sparks, A. H. (Author), Valdivia, C. (Author), van Bruggen, A. H. C. (Author), Willocquet, L. (Author), Djurle, A. (Author), Duveiller, E. (Author), Eckersten, H. (Author), Pande, S. (Author), Vera Cruz, C. (Author) and Yuen, J. |
Journal Title | Plant Pathology |
Journal Citation | 60 (1), pp. 15-30 |
Number of Pages | 16 |
Year | 2011 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 0032-0862 |
1365-3059 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/j.1365-3059.2010.02409.x |
Web Address (URL) | http://onlinelibrary.wiley.com/doi/10.1111/j.1365-3059.2010.02409.x/abstract;jsessionid=8C1C52F3603E0534AD17A27DB6AE4052.f03t02 |
Abstract | The impacts of climate change on ecosystem services are complex in the sense that effective prediction requires consideration of a wide range of factors. Useful analysis of climate-change impacts on crops and native plant systems will often require consideration of the wide array of other biota that interact with plants, including plant diseases, animal herbivores, and weeds. We present a framework for analysis of complexity in climate-change effects mediated by plant disease. This frame- work can support evaluation of the level of model complexity likely to be required for analysing climate-change impacts mediated by disease. Our analysis incorporates consideration of the following set of questions for a particular host, patho- gen, host–pathogen combination, or geographic region. 1. Are multiple biological interactions important? 2. Are there envi- ronmental thresholds for population responses? 3. Are there indirect effects of global change factors on disease development? 4. Are spatial components of epidemic processes affected by climate? 5. Are there feedback loops for manage- ment? 6. Are networks for intervention technologies slower than epidemic networks? 7. Are there effects of plant disease on multiple ecosystem services? 8. Are there feedback loops from plant disease to climate change? Evaluation of these questions will help in gauging system complexity, as illustrated for fusarium head blight and potato late blight. In practice, it may be necessary to expand models to include more components, identify those components that are the most important, and syn- thesize such models to include the optimal level of complexity for planning and research prioritization. |
Keywords | cereal head blight, disease risk, ecosystem services, fusarium graminearum, potato late blight, Phytophthora infestans |
ANZSRC Field of Research 2020 | 310805. Plant pathology |
300409. Crop and pasture protection (incl. pests, diseases and weeds) | |
410102. Ecological impacts of climate change and ecological adaptation | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Kansas State University, United States |
International Potato Center, Peru | |
International Rice Research Institute, Philippines | |
University of Missouri, United States | |
University of Florida, United States | |
Swedish University of Agricultural Sciences, Sweden | |
International Maize and Wheat Improvement Center, Mexico | |
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), India | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q39v7/complexity-in-climate-change-impacts-an-analytical-framework-for-effects-mediated-by-plant-disease
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