Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data

Matthew Turley, Gary Bilotta, T. Krueger, R.E. Brazier, Chris Extence

Research output: Contribution to conferenceAbstract

Abstract

The Proportion of Sediment-sensitive Invertebrates (PSI) index is a biomonitoring tool designed to identify the degree of sedimentation in rivers andstreams. The index has a sound biological basis, using invertebrate sensitivity ratings that were determined following an assessment of faunal traits associated with a sensitivity or tolerance of fine sediment. Despite a moderate correlation with deposited fine sediment, comparable to other pressure-specific indices used for Water Framework Directive classification, the large variability in the relationship limits confidence in its application. In this study, sediment and invertebrate data, collected from a range of reference condition river and stream ecosystems (n=2252), is used to empirically-assign species sensitivity weights in an attempt to improve the performance of the PSI index. To maintain the index's biological basis, sensitivity weights were restricted to a range, based on their original sensitivity ratings. The optimum set of sensitivity weights were identified using non-linear optimisation, as those that resulted in the highest Spearman's rank correlation between Empirically-weighted PSI (E-PSI) scores and deposited fine sediment. Applying these optimum sensitivity weights to an independent test dataset (n=252) showed E-PSI to have a strongcorrelation with deposited fine sediment (rs=-0.74,p<0.01), compared to a moderate correlation for PSI (rs=-0.66,p<0.01).
Original languageEnglish
Pages256-256
Number of pages1
Publication statusPublished - 8 Jul 2015
Event9th Symposium for European Freshwater Sciences - University of Geneva, 5-10 July 2015
Duration: 5 Jul 2015 → …

Conference

Conference9th Symposium for European Freshwater Sciences
Period5/07/15 → …

Fingerprint

biomonitoring
invertebrate
sediment
river
tolerance
index
sedimentation
ecosystem

Cite this

Turley, M., Bilotta, G., Krueger, T., Brazier, R. E., & Extence, C. (2015). Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data. 256-256. Abstract from 9th Symposium for European Freshwater Sciences, .
Turley, Matthew ; Bilotta, Gary ; Krueger, T. ; Brazier, R.E. ; Extence, Chris. / Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data. Abstract from 9th Symposium for European Freshwater Sciences, .1 p.
@conference{320362fceb47460ab1d8556a0a3235c2,
title = "Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data",
abstract = "The Proportion of Sediment-sensitive Invertebrates (PSI) index is a biomonitoring tool designed to identify the degree of sedimentation in rivers andstreams. The index has a sound biological basis, using invertebrate sensitivity ratings that were determined following an assessment of faunal traits associated with a sensitivity or tolerance of fine sediment. Despite a moderate correlation with deposited fine sediment, comparable to other pressure-specific indices used for Water Framework Directive classification, the large variability in the relationship limits confidence in its application. In this study, sediment and invertebrate data, collected from a range of reference condition river and stream ecosystems (n=2252), is used to empirically-assign species sensitivity weights in an attempt to improve the performance of the PSI index. To maintain the index's biological basis, sensitivity weights were restricted to a range, based on their original sensitivity ratings. The optimum set of sensitivity weights were identified using non-linear optimisation, as those that resulted in the highest Spearman's rank correlation between Empirically-weighted PSI (E-PSI) scores and deposited fine sediment. Applying these optimum sensitivity weights to an independent test dataset (n=252) showed E-PSI to have a strongcorrelation with deposited fine sediment (rs=-0.74,p<0.01), compared to a moderate correlation for PSI (rs=-0.66,p<0.01).",
author = "Matthew Turley and Gary Bilotta and T. Krueger and R.E. Brazier and Chris Extence",
year = "2015",
month = "7",
day = "8",
language = "English",
pages = "256--256",
note = "9th Symposium for European Freshwater Sciences ; Conference date: 05-07-2015",

}

Turley, M, Bilotta, G, Krueger, T, Brazier, RE & Extence, C 2015, 'Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data' 9th Symposium for European Freshwater Sciences, 5/07/15, pp. 256-256.

Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data. / Turley, Matthew; Bilotta, Gary; Krueger, T.; Brazier, R.E.; Extence, Chris.

2015. 256-256 Abstract from 9th Symposium for European Freshwater Sciences, .

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data

AU - Turley, Matthew

AU - Bilotta, Gary

AU - Krueger, T.

AU - Brazier, R.E.

AU - Extence, Chris

PY - 2015/7/8

Y1 - 2015/7/8

N2 - The Proportion of Sediment-sensitive Invertebrates (PSI) index is a biomonitoring tool designed to identify the degree of sedimentation in rivers andstreams. The index has a sound biological basis, using invertebrate sensitivity ratings that were determined following an assessment of faunal traits associated with a sensitivity or tolerance of fine sediment. Despite a moderate correlation with deposited fine sediment, comparable to other pressure-specific indices used for Water Framework Directive classification, the large variability in the relationship limits confidence in its application. In this study, sediment and invertebrate data, collected from a range of reference condition river and stream ecosystems (n=2252), is used to empirically-assign species sensitivity weights in an attempt to improve the performance of the PSI index. To maintain the index's biological basis, sensitivity weights were restricted to a range, based on their original sensitivity ratings. The optimum set of sensitivity weights were identified using non-linear optimisation, as those that resulted in the highest Spearman's rank correlation between Empirically-weighted PSI (E-PSI) scores and deposited fine sediment. Applying these optimum sensitivity weights to an independent test dataset (n=252) showed E-PSI to have a strongcorrelation with deposited fine sediment (rs=-0.74,p<0.01), compared to a moderate correlation for PSI (rs=-0.66,p<0.01).

AB - The Proportion of Sediment-sensitive Invertebrates (PSI) index is a biomonitoring tool designed to identify the degree of sedimentation in rivers andstreams. The index has a sound biological basis, using invertebrate sensitivity ratings that were determined following an assessment of faunal traits associated with a sensitivity or tolerance of fine sediment. Despite a moderate correlation with deposited fine sediment, comparable to other pressure-specific indices used for Water Framework Directive classification, the large variability in the relationship limits confidence in its application. In this study, sediment and invertebrate data, collected from a range of reference condition river and stream ecosystems (n=2252), is used to empirically-assign species sensitivity weights in an attempt to improve the performance of the PSI index. To maintain the index's biological basis, sensitivity weights were restricted to a range, based on their original sensitivity ratings. The optimum set of sensitivity weights were identified using non-linear optimisation, as those that resulted in the highest Spearman's rank correlation between Empirically-weighted PSI (E-PSI) scores and deposited fine sediment. Applying these optimum sensitivity weights to an independent test dataset (n=252) showed E-PSI to have a strongcorrelation with deposited fine sediment (rs=-0.74,p<0.01), compared to a moderate correlation for PSI (rs=-0.66,p<0.01).

M3 - Abstract

SP - 256

EP - 256

ER -

Turley M, Bilotta G, Krueger T, Brazier RE, Extence C. Developing an improved sediment-specific biomonitoring tool: Combining expert knowledge and empirical data. 2015. Abstract from 9th Symposium for European Freshwater Sciences, .