A metamodeling framework for extending the application domain of process-based ecological models

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dc.contributor.author Sparks, Adam Henry
dc.contributor.author Forbes, G.A.
dc.contributor.author Hijmans, R.J.
dc.contributor.author Garrett, Karen A.
dc.date.accessioned 2011-10-07T14:45:41Z
dc.date.available 2011-10-07T14:45:41Z
dc.date.issued 2011-10-07
dc.identifier.uri http://hdl.handle.net/2097/12209
dc.description.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. en_US
dc.relation.uri http://www.esajournals.org/doi/pdf/10.1890/ES11-00128.1 en_US
dc.subject Climate change scenario analysis en_US
dc.subject Data aggregation en_US
dc.subject Ecoinformatics en_US
dc.subject Ecological scaling en_US
dc.subject Metamodels en_US
dc.subject Phytophthora infestans en_US
dc.subject Plant disease en_US
dc.subject Process-based models en_US
dc.subject Solanum tuberosum en_US
dc.title A metamodeling framework for extending the application domain of process-based ecological models en_US
dc.type Article (publisher version) en_US
dc.date.published 2011 en_US
dc.citation.doi doi:10.1890/ES11-00128.1 en_US
dc.citation.issue 8 en_US
dc.citation.jtitle Ecosphere en_US
dc.citation.volume 2 en_US
dc.contributor.authoreid kgarrett en_US


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