| Autor: |
Jon Calabria, Jeffrey Bruton, Jeremy Pike, Brian Brown, Christopher Post, Julia Sharp, William English, Jean Spooner |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Environmental Challenges, Vol 7, Iss , Pp 100521- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2667-0100 |
| DOI: |
10.1016/j.envc.2022.100521 |
| Popis: |
Many studies report stream degradation from direct anthropogenic impacts by correlating increased catchment impervious cover percentage (IC) with worsening stream health. However, this correlation can be less useful when predicting stream health in catchments with little to no IC. Our study characterizes catchments by combining hydrologic soil groups (HSG) with land cover and maintenance, known as Curve Numbers (CN), to predict stream health thresholds across a wide gradient of land cover conditions, particularly when IC is nominal or nonexistent. We did not compare the CN method with IC, but regressed two commonly used variables. The independent variable is the CN and the response variable is an index based on a rapid biological assessment protocol for wadable streams, known as the Family Benthic Index (FBI). The FBI is an index of organic pollution that rates stream reaches with published values that range from “Very Poor” to “Excellent” to categorize stream health. Generally, increasing CNs indicate increasing IC with slower infiltration velocity. CNs are commonly applied across the United States and other regions to estimate runoff quantity. However, we only investigated if CNs could reliably predict stream health (FBI). We sampled catchments (n = 178) in western North Carolina, US and found that CN can predict stream health (FBI) reasonably well (r2=0.78, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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