Literature DB >> 23673836

Sestonic Chlorophyll- Shows Hierarchical Structure and Thresholds with Nutrients across the Red River Basin, USA.

Brian E Haggard, J Thad Scott, Scott D Longing.   

Abstract

The Red River is a transboundary, multijurisdictional basin where water-quality standards are often different across state lines. The state agencies with USEPA Region VI focused resources to organize water-quality data from within this basin and have it statistically analyzed to evaluate the relationships between nutrients and sestonic chlorophyll- (chl-a). There were 152 sites within the Red River basin that had nutrient and sestonic chl-a measurements; these sites were narrowed down to 132 when a minimum number of observations was required. Sestonic chl-a levels increased with increasing nutrient concentrations; these regressions were used to predict nutrient concentrations at 10 μg chl-a L. Total nitrogen (TN) and phosphorus (TP) concentrations (at 10 μg chl-a L) varied across the Red River basin and its ecoregions from 0.10 to 0.22 mg TP L and 0.75 to 2.11 mg TN L. Nutrient thresholds were also observed with sestonic chl-a at 0.14 mg TP L and 0.74 mg TN L using categorical and regression tree analysis (CART). The CART analysis also revealed that hierarchical structure was important when attempting to predict sestonic chl-a from TN, TP, and conductivity. The ranges of TN and TP concentrations that resulted in chl-a concentrations that exceeded 10 μg chl-a L were similar in magnitude to the threshold in TN and TP that resulted in increased sestonic chl-a. This corroborating evidence provides useful guidance to the states with jurisdiction within the Red River basin for establishing nutrient criteria, which may be similar when the Red River and its tributaries cross political boundaries.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

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Year:  2013        PMID: 23673836     DOI: 10.2134/jeq2012.0181

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  1 in total

1.  Estimation of the Nutrient and Chlorophyll a Reference Conditions in Taihu Lake Based on A New Method with Extreme⁻Markov Theory.

Authors:  Liang Wang; Yulin Wang; Haomiao Cheng; Jilin Cheng
Journal:  Int J Environ Res Public Health       Date:  2018-10-26       Impact factor: 3.390

  1 in total

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