2022
DOI: 10.1186/s13717-022-00383-z
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Quantifying relations between altered hydrology and fish community responses for streams in Minnesota

Abstract: Background Altered hydrology is a stressor on aquatic life, but quantitative relations between specific aspects of streamflow alteration and biological responses have not been developed on a statewide scale in Minnesota. Best subsets regression analysis was used to develop linear regression models that quantify relations among five categories of hydrologic metrics (i.e., duration, frequency, magnitude, rate-of-change, and timing) computed from streamgage records and six categories of biological… Show more

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