The streamwater microbiome encodes hydrologic data across scales.

URycki, Dawn R; Bassiouni, Maoya; Good, Stephen P; Crump, Byron C; Li, Bonan

URycki, Dawn R; Bassiouni, Maoya; Good, Stephen P; Crump, Byron C; Li, Bonan.

Afiliação

URycki DR; Water Resources Graduate Program, Oregon State University, USA; Department of Biological and Ecological Engineering, Oregon State University, USA; Department of Civil Engineering, University of Colorado Denver, USA. Electronic address: dawn.urycki@ucdenver.edu.
Bassiouni M; Department of Crop Production Ecology, Swedish University of Agricultural Sciences, Sweden; Department of Environmental Science, Policy, and Management, University of California Berkeley, USA.
Good SP; Water Resources Graduate Program, Oregon State University, USA; Department of Biological and Ecological Engineering, Oregon State University, USA.
Crump BC; College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, USA.
Li B; Water Resources Graduate Program, Oregon State University, USA; Department of Biological and Ecological Engineering, Oregon State University, USA; Department of Biological and Agricultural Engineering, University of Arkansas, USA.

Sci Total Environ ; 849: 157911, 2022 Nov 25.

Article em En | MEDLINE | ID: mdl-35944633

Assuntos

Hidrologia; Microbiota; Oregon; Rios; Estações do Ano

Palavras-chave

16S metabarcoding; Information theory; Mutual information; Pacific Northwest; Watershed hydrology

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrologia / Microbiota País/Região como assunto: America do norte Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article

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