Literature DB >> 23161512

A method for assessing the potential for confounding applied to ionic strength in central Appalachian streams.

Glenn W Suter1, Susan M Cormier.   

Abstract

Causal relationships derived from field data are potentially confounded by variables that are correlated with both the cause and its effect. The present study presents a method for assessing the potential for confounding and applies it to the relationship between ionic strength and impairment of benthic invertebrate assemblages in central Appalachian streams. The method weighs all available evidence for and against confounding by each potential confounder. It identifies 10 types of evidence for confounding, presents a qualitative scoring system, and provides rules for applying the scores. Twelve potential confounders were evaluated: habitat, organic enrichment, nutrients, deposited sediments, pH, selenium, temperature, lack of headwaters, catchment area, settling ponds, dissolved oxygen, and metals. One potential confounder, low pH, was found to be biologically significant and eliminated by removing sites with pH < 6. Other potential confounders were eliminated based on the weight of evidence. This method was found to be useful and defensible. It could be applied to other environmental assessments that use field data to develop causal relationships, including contaminated site remediation or management of natural resources.
Copyright © 2012 SETAC.

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Year:  2013        PMID: 23161512     DOI: 10.1002/etc.2054

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  9 in total

1.  Effects of coal mining, forestry, and road construction on southern Appalachian stream invertebrates and habitats.

Authors:  Michael M Gangloff; Michael Perkins; Peter W Blum; Craig Walker
Journal:  Environ Manage       Date:  2014-12-21       Impact factor: 3.266

2.  Long-term impacts on macroinvertebrates downstream of reclaimed mountaintop mining valley fills in Central Appalachia.

Authors:  Gregory J Pond; Margaret E Passmore; Nancy D Pointon; John K Felbinger; Craig A Walker; Kelly J G Krock; Jennifer B Fulton; Whitney L Nash
Journal:  Environ Manage       Date:  2014-07-03       Impact factor: 3.266

3.  Adequacy of sample size for estimating a value from field observational data.

Authors:  Susan M Cormier; Glenn W Suter; Mark B Fernandez; Lei Zheng
Journal:  Ecotoxicol Environ Saf       Date:  2020-08-06       Impact factor: 6.291

4.  Step-by-step calculation and spreadsheet tools for predicting stressor levels that extirpate genera and species.

Authors:  Susan M Cormier; Lei Zheng; Erik W Leppo; Andrew Hamilton
Journal:  Integr Environ Assess Manag       Date:  2017-12-05       Impact factor: 2.992

5.  A field-based characterization of conductivity in areas of minimal alteration: A case example in the Cascades of northwestern United States.

Authors:  Susan M Cormier; Lei Zheng; Gretchen Hayslip; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-19       Impact factor: 7.963

6.  Field-based method for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-07       Impact factor: 7.963

7.  Assessing the Impact of Removing Select Materials from Coal Mine Overburden, Central Appalachia Region, USA.

Authors:  Patricio X Pinto; Souhail R Al-Abed; Christopher D Holder; Richard Warner; John McKernan; Stephanie Fulton; Eric Somerville
Journal:  Mine Water Environ       Date:  2018       Impact factor: 2.883

8.  Evaluation of potential factors affecting deriving conductivity benchmark by utilizing weighting methods in Hun-Tai River Basin, Northeastern China.

Authors:  Xiaobo Jia; Qian Zhao; Fen Guo; Shuqin Ma; Yuan Zhang; Xiaomiao Zang
Journal:  Environ Monit Assess       Date:  2017-02-06       Impact factor: 2.513

Review 9.  How Specific Is Site-Specific? A Review and Guidance for Selecting and Evaluating Approaches for Deriving Local Water Quality Benchmarks.

Authors:  Rick A van Dam; Alicia C Hogan; Andrew J Harford; Chris L Humphrey
Journal:  Integr Environ Assess Manag       Date:  2019-09       Impact factor: 2.992

  9 in total

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