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Effects of urban multi-stressors on three stream biotic assemblages.
Waite, Ian R; Munn, Mark D; Moran, Patrick W; Konrad, Chris P; Nowell, Lisa H; Meador, Mike R; Van Metre, Peter C; Carlisle, Daren M.
Afiliação
  • Waite IR; U.S. Geological Survey, Oregon Water Science Center, 2130 SW 5th Ave, Portland, OR 97201, USA. Electronic address: iwaite@usgs.gov.
  • Munn MD; U.S. Geological Survey, Washington Water Science Center, 934 Broadway, Suite 300, Tacoma, WA 98402, USA.
  • Moran PW; U.S. Geological Survey, Washington Water Science Center, 934 Broadway, Suite 300, Tacoma, WA 98402, USA.
  • Konrad CP; U.S. Geological Survey, Washington Water Science Center, 934 Broadway, Suite 300, Tacoma, WA 98402, USA.
  • Nowell LH; U.S. Geological Survey, California Water Science Center, 6000 J Street, Sacramento, CA 95819, USA.
  • Meador MR; U.S. Geological Survey, Headquarters, 12201 Sunrise Valley Drive, Reston, VA 20192, USA.
  • Van Metre PC; U.S. Geological Survey, Texas Water Science Center, 1505 Ferguson Lane, Austin, TX 78754, USA.
  • Carlisle DM; U.S. Geological Survey, Kansas Water Science Center, 4821 Quail Crest Place, Lawrence, KS 66049, USA.
Sci Total Environ ; 660: 1472-1485, 2019 Apr 10.
Article em En | MEDLINE | ID: mdl-30743940
During 2014, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) project assessed stream quality in 75 streams across an urban disturbance gradient within the Piedmont ecoregion of southeastern United States. Our objectives were to identify primary instream stressors affecting algal, macroinvertebrate and fish assemblages in wadeable streams. Biotic communities were surveyed once at each site, and various instream stressors were measured during a 4-week index period preceding the ecological sampling. The measured stressors included nutrients; contaminants in water, passive samplers, and sediment; instream habitat; and flow variability. All nine boosted regression tree models - three for each of algae, invertebrates, and fish - had cross-validation R2 (CV R2) values of 0.41 or above, and an invertebrate model had the highest CV R2 of 0.65. At least one contaminant metric was important in every model, and minimum daytime dissolved oxygen (DO), nutrients, and flow alteration were important explanatory variables in many of the models. Physical habitat metrics such as sediment substrate were only moderately important. Flow alteration metrics were useful factors in eight of the nine models. Total phosphorus, acetanilide herbicides and flow (time since last peak) were important in all three algal models, whereas insecticide metrics (especially those representing fipronil and imidacloprid) were dominant in the invertebrate models. DO values below approximately 7 mg/L corresponded to a strong decrease in sensitive taxa or an increase in tolerant taxa. DO also showed strong interactions with other variables, particularly contaminants and sediment, where the combined effect of low DO and elevated contaminants increased the impact on the biota more than each variable individually. Contaminants and flow alteration were strongly correlated to urbanization, indicating the importance of urbanization to ecological stream condition in the region.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Qualidade da Água / Rios Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Qualidade da Água / Rios Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda