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Quantifying coastal ecosystem trophic state at a macroscale using a Bayesian analytical framework.
Hagy, James D; Kreakie, Betty J; Pelletier, Marguerite C; Nojavan, Farnaz; Kiddon, John A; Oczkowski, Autumn J.
Afiliación
  • Hagy JD; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
  • Kreakie BJ; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
  • Pelletier MC; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
  • Nojavan F; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
  • Kiddon JA; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
  • Oczkowski AJ; Atlantic Coastal Environmental Science Division, Center for Environmental Measurement and Modeling, Office of Research and Development, US Environmental Protection Agency. 27 Tarzwell Drive, Narragansett, RI 02882.
Ecol Indic ; 142: 1-12, 2022 Sep 01.
Article en En | MEDLINE | ID: mdl-36969322
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Indic Año: 2022 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Indic Año: 2022 Tipo del documento: Article