Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data.

Yuan, Lester L; Smucker, Nathan J; Nietch, Christopher T; Pilgrim, Erik M

Yuan, Lester L; Smucker, Nathan J; Nietch, Christopher T; Pilgrim, Erik M.

Afiliación

Yuan LL; United States Environmental Protection Agency, Office of Water 4304T, 1200 Pennsylvania Avenue NW, Washington, DC 20460 USA.
Smucker NJ; United States Environmental Protection Agency, Office of Research and Development, Mail Stop 587, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268 USA.
Nietch CT; United States Environmental Protection Agency, Office of Research and Development, Mail Stop 587, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268 USA.
Pilgrim EM; United States Environmental Protection Agency, Office of Research and Development, Mail Stop 587, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268 USA.

Freshw Sci ; 41(1): 100-112, 2022 Mar.

Article en En | MEDLINE | ID: mdl-35646474

Palabras clave

Bayesian hierarchical model; DNA metabarcoding; agriculture; algae; biomonitoring; nitrogen; periphyton; phosphorus; rbcL; temporal variability

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Freshw Sci Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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