Literature DB >> 29031003

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

Susan M Cormier1, Lei Zheng2,3, Erik W Leppo2, Andrew Hamilton2.   

Abstract

In 2011, the United States Environmental Protection Agency (USEPA) released a field-based method for estimating the extirpation of freshwater aquatic benthic invertebrates by ionic mixtures dominated by HCO3- , SO42- , and Ca2+ measured as specific conductivity (SC). The estimate of extirpation was SC at the 95th centile (XC95) of a weighted cumulative frequency distribution (CFD) of a genus or species over a range of SC. A CFD of XC95 values was used to predict the SC at which 5% of genera were likely to be extirpated. Because there are many uses for XC95 values and many data sets that could be analyzed using this method, we laid out a step-by-step method for calculating XC95 values and the stressor level that predicts a 5% extirpation of genera (HC05). Although the calculations can be done with a handheld calculator, we developed 2 downloadable Microsoft Excel® spreadsheet calculation tools that are easy to use to calculate XC95 values, to plot a taxon's XC95 cumulative frequency distribution with increasing SC, and to plot probabilities of observing a taxon at a particular SC. They also plot cumulative frequency distributions of XC95 values and calculate HC05 values. In addition to the tools, we share an example and the output of XC95 values for 176 distinct aquatic benthic invertebrates in Appalachia, in West Virginia, USA. Integr Environ Assess Manag 2018;14:174-180.
© 2017 SETAC. © 2017 SETAC.

Entities:  

Keywords:  Appalachia; Extirpation; Sensitivity distribution; Specific conductivity; Streams

Mesh:

Substances:

Year:  2017        PMID: 29031003      PMCID: PMC7241421          DOI: 10.1002/ieam.1993

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  5 in total

1.  A field-based method to derive macroinvertebrate benchmark for specific conductivity adapted for small data sets and demonstrated in the Hun-Tai River Basin, Northeast China.

Authors:  Qian Zhao; Xiaobo Jia; Rui Xia; Jianing Lin; Yuan Zhang
Journal:  Environ Pollut       Date:  2016-07-04       Impact factor: 8.071

2.  A method for deriving water-quality benchmarks using field data.

Authors:  Susan M Cormier; Glenn W Suter
Journal:  Environ Toxicol Chem       Date:  2012-12-27       Impact factor: 3.742

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

Authors:  Glenn W Suter; Susan M Cormier
Journal:  Environ Toxicol Chem       Date:  2013-02       Impact factor: 3.742

4.  Derivation of a benchmark for freshwater ionic strength.

Authors:  Susan M Cormier; Glenn W Suter; Lei Zheng
Journal:  Environ Toxicol Chem       Date:  2012-12-27       Impact factor: 3.742

5.  Using extirpation to evaluate ionic tolerance of freshwater fish.

Authors:  Michael B Griffith; Lei Zheng; Susan M Cormier
Journal:  Environ Toxicol Chem       Date:  2017-12-29       Impact factor: 3.742

  5 in total
  2 in total

1.  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

2.  A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity.

Authors:  Susan M Cormier; Lei Zheng; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-22       Impact factor: 7.963

  2 in total

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