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

dc.contributor.authorSparks, Adam H.en
dc.contributor.authorForbes, Gregory Allanen
dc.contributor.authorHijmans, R. J.en
dc.contributor.authorGarrett, Karen A.en
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.date.accessioned2019-06-18T04:49:21Zen
dc.date.available2019-06-18T04:49:21Zen
dc.date.issued2011-08en
dc.description.abstractProcess‐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
dc.format.extent1-14en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1890/ES11-00128.1en
dc.identifier.issn2150-8925en
dc.identifier.issue8en
dc.identifier.urihttp://hdl.handle.net/10919/90215en
dc.identifier.volume2en
dc.rightsCreative Commons Attribution 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.titleA metamodeling framework for extending the application domain of process‐based ecological modelsen
dc.title.serialEcosphereen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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