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Stream Temperature and Environment Relationships in a Semiarid Riparian Corridor

Author

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  • Nicole Durfee

    (Water Resources Graduate Program, Oregon State University, Corvallis, OR 97331, USA
    College of Agricultural Sciences, Ecohydrology Lab, Oregon State University, Corvallis, OR 97331, USA)

  • Carlos G. Ochoa

    (College of Agricultural Sciences, Ecohydrology Lab, Oregon State University, Corvallis, OR 97331, USA)

  • Gerrad Jones

    (Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA)

Abstract

This study examined the relationship between stream temperature and environmental variables in a semiarid riparian corridor in northcentral Oregon, USA. The relationships between riparian vegetation cover, subsurface flow temperature, and stream temperature were characterized along an 800 m reach. Multiple stream temperature sensors were located along the reach, in open and closed canopy areas, with riparian vegetation cover ranging from 4% to 95%. A support vector regression (SVR) model was developed to assess the relationship between environmental characteristics and stream temperature at the larger valley scale. At the reach scale, results show that air temperature was highly correlated with stream temperature (Pearson’s r = 0.97), and no significant (p < 0.05) differences in stream temperature levels were found among sensor locations, irrespective of percent vegetation cover. Channel subsurface temperature levels from an intermittent flow tributary were generally cooler than those in the perennial stream in the summer and warmer during winter months, indicating that the tributary may have a localized moderating effect on stream temperature. At the valley scale, results from the SVR model showed that air temperature, followed by streamflow, was the strongest variable influencing stream temperature. Also, riparian area land cover showed little effect on stream temperature along the entire riparian corridor. This research indicates that air temperature, subsurface flow, and streamflow are important variables affecting the stream temperature variability observed in the study area.

Suggested Citation

  • Nicole Durfee & Carlos G. Ochoa & Gerrad Jones, 2021. "Stream Temperature and Environment Relationships in a Semiarid Riparian Corridor," Land, MDPI, vol. 10(5), pages 1-22, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:519-:d:553778
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    References listed on IDEAS

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    1. D. Isaak & S. Wollrab & D. Horan & G. Chandler, 2012. "Climate change effects on stream and river temperatures across the northwest U.S. from 1980–2009 and implications for salmonid fishes," Climatic Change, Springer, vol. 113(2), pages 499-524, July.
    2. Fereshteh Modaresi & Shahab Araghinejad & Kumars Ebrahimi, 2018. "A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasti," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 243-258, January.
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    Cited by:

    1. Kinga Wieczorek & Anna Turek & Wojciech M. Wolf, 2023. "Combined Effect of Climate and Anthropopressure on River Water Quality," IJERPH, MDPI, vol. 20(4), pages 1-27, February.

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