A metamodeling framework for extending the application domain of process-based ecological models
Article
Article Title | A metamodeling framework for extending the application domain of process-based ecological models |
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ERA Journal ID | 123494 |
Article Category | Article |
Authors | Sparks, Adam H. (Author), Forbes, Gregory A. (Author), Hijmans, Robert (Author) and Garrett, Karen A. (Author) |
Journal Title | Ecosphere |
Journal Citation | 2 (8) |
Article Number | 90 |
Number of Pages | 14 |
Year | 2011 |
Publisher | John Wiley & Sons |
Place of Publication | USA |
ISSN | 2150-8925 |
Digital Object Identifier (DOI) | https://doi.org/10.1890/ES11-00128.1 |
Web Address (URL) | http://onlinelibrary.wiley.com/doi/10.1890/ES11-00128.1/abstract |
Abstract | Process-based ecological models used to assess organisms' responses to environmental conditions often need input data at a high temporal resolution, e.g., hourly or daily weather data. Such input data may not be available at a high spatial resolution for large areas, limiting opportunities to use such models. Here we present a metamodeling framework to develop reduced form ecological models that use lower resolution input data than the original process models. We used generalized additive models to create metamodels for an existing model that uses hourly data to predict risk of potato late blight, caused by the plant pathogen Phytophthora infestans. The metamodels used daily or monthly weather data, and their predictions maintained the key features of the original model. This approach can be applied to other complex models, allowing them to be used more widely. |
Keywords | climate change scenario analysis; data aggregation; ecoinformatics; ecological scaling; metamodels; Phytophthora infestans; plant disease; process-based models; Solanum tuberosum |
ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
410299. Ecological applications not elsewhere classified | |
310805. Plant pathology | |
300409. Crop and pasture protection (incl. pests, diseases and weeds) | |
Byline Affiliations | Centre for Crop Health |
International Potato Center, Peru | |
University of California, United States | |
Kansas State University, United States | |
Institution of Origin | University of Southern Queensland |
Funding source | Grant ID EPP-A-00-04-00013-00 |
https://research.usq.edu.au/item/q39v0/a-metamodeling-framework-for-extending-the-application-domain-of-process-based-ecological-models
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