A metamodeling framework for extending the application domain of process-based ecological models
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 su...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2011
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/42088 |
| _version_ | 1855532046502330368 |
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| author | Sparks, Adam H. Forbes, G. Hijmans R.J. Garrett, K.A. |
| author_browse | Forbes, G. Garrett, K.A. Hijmans R.J. Sparks, Adam H. |
| author_facet | Sparks, Adam H. Forbes, G. Hijmans R.J. Garrett, K.A. |
| author_sort | Sparks, Adam H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace42088 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace420882024-05-15T05:11:55Z A metamodeling framework for extending the application domain of process-based ecological models Sparks, Adam H. Forbes, G. Hijmans R.J. Garrett, K.A. agriculture climate phytophthora infestans environmental modelling 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. 2011-08 2014-08-15T12:13:23Z 2014-08-15T12:13:23Z Journal Article https://hdl.handle.net/10568/42088 en Open Access Wiley Sparks AH, Forbes GA, Hijmans RJ, Garrett KA. 2011. A metamodeling framework for extending the application domain of process-based ecological models. Ecosphere 2(8):14 p. |
| spellingShingle | agriculture climate phytophthora infestans environmental modelling Sparks, Adam H. Forbes, G. Hijmans R.J. Garrett, K.A. A metamodeling framework for extending the application domain of process-based ecological models |
| title | A metamodeling framework for extending the application domain of process-based ecological models |
| title_full | A metamodeling framework for extending the application domain of process-based ecological models |
| title_fullStr | A metamodeling framework for extending the application domain of process-based ecological models |
| title_full_unstemmed | A metamodeling framework for extending the application domain of process-based ecological models |
| title_short | A metamodeling framework for extending the application domain of process-based ecological models |
| title_sort | metamodeling framework for extending the application domain of process based ecological models |
| topic | agriculture climate phytophthora infestans environmental modelling |
| url | https://hdl.handle.net/10568/42088 |
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