Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis

Matthew Turley, Gary Bilotta, Richard Chadd, Chris Extence, R.E. Brazier

Research output: Contribution to journalArticle

Abstract

Deposited fine sediment is an essential component of freshwater ecosystems. Nonetheless, anthropogenic activities can modify natural fine sediment levels, impacting the physical, chemical and biological characteristics of these ecosystems. An ability to quantify deposited fine sediment is critical to understanding its impacts and successfully managing the anthropogenic activities that are responsible for modifying it. One widely used method, the visual estimate technique, relies on subjective estimates of particle size and percentage cover. In this paper, we present two novel alternative approaches, based on non-automated digital image analysis (DIA), which are designed to reduce the subjectivity of submerged and surficial fine sediment estimates, and provide a verifiable record of the conditions at the time of sampling. The DIA methods were tested across five systematically selected, contrasting temperate stream and river typologies, over three seasons of monitoring. The resultant sediment metrics were strongly, positively correlated with visual estimates (rs = 0.90, and rs = 0.82, p < 0.01), and similarly strongly, but negatively correlated with a sediment-specific biotic index, suggesting some degree of biological relevance. The DIA technique has the potential to be a valuable tool for application in numerous areas of river research, where a non-destructive, less subjective and verifiable method is desirable.
Original languageEnglish
JournalRiver Research and Applications
DOIs
Publication statusPublished - 31 Aug 2016

Fingerprint

digital image
image analysis
river
sediment
human activity
biological characteristics
freshwater ecosystem
typology
particle size
ecosystem
sampling
monitoring
method

Bibliographical note

Copyright © 2016 The Authors River Research and Applications Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited

Keywords

  • Deposited fine sediment
  • visual estimates
  • habitat assessment
  • digital image analysis
  • river substrate

Cite this

Turley, Matthew ; Bilotta, Gary ; Chadd, Richard ; Extence, Chris ; Brazier, R.E. / Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis. In: River Research and Applications. 2016.
@article{bfee9a6228564916b5c41564ca456c24,
title = "Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis",
abstract = "Deposited fine sediment is an essential component of freshwater ecosystems. Nonetheless, anthropogenic activities can modify natural fine sediment levels, impacting the physical, chemical and biological characteristics of these ecosystems. An ability to quantify deposited fine sediment is critical to understanding its impacts and successfully managing the anthropogenic activities that are responsible for modifying it. One widely used method, the visual estimate technique, relies on subjective estimates of particle size and percentage cover. In this paper, we present two novel alternative approaches, based on non-automated digital image analysis (DIA), which are designed to reduce the subjectivity of submerged and surficial fine sediment estimates, and provide a verifiable record of the conditions at the time of sampling. The DIA methods were tested across five systematically selected, contrasting temperate stream and river typologies, over three seasons of monitoring. The resultant sediment metrics were strongly, positively correlated with visual estimates (rs = 0.90, and rs = 0.82, p < 0.01), and similarly strongly, but negatively correlated with a sediment-specific biotic index, suggesting some degree of biological relevance. The DIA technique has the potential to be a valuable tool for application in numerous areas of river research, where a non-destructive, less subjective and verifiable method is desirable.",
keywords = "Deposited fine sediment, visual estimates, habitat assessment, digital image analysis, river substrate",
author = "Matthew Turley and Gary Bilotta and Richard Chadd and Chris Extence and R.E. Brazier",
note = "Copyright {\circledC} 2016 The Authors River Research and Applications Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited",
year = "2016",
month = "8",
day = "31",
doi = "10.1002/rra.3073",
language = "English",
journal = "River Research and Applications",
issn = "1535-1459",

}

Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis. / Turley, Matthew; Bilotta, Gary; Chadd, Richard; Extence, Chris; Brazier, R.E.

In: River Research and Applications, 31.08.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis

AU - Turley, Matthew

AU - Bilotta, Gary

AU - Chadd, Richard

AU - Extence, Chris

AU - Brazier, R.E.

N1 - Copyright © 2016 The Authors River Research and Applications Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited

PY - 2016/8/31

Y1 - 2016/8/31

N2 - Deposited fine sediment is an essential component of freshwater ecosystems. Nonetheless, anthropogenic activities can modify natural fine sediment levels, impacting the physical, chemical and biological characteristics of these ecosystems. An ability to quantify deposited fine sediment is critical to understanding its impacts and successfully managing the anthropogenic activities that are responsible for modifying it. One widely used method, the visual estimate technique, relies on subjective estimates of particle size and percentage cover. In this paper, we present two novel alternative approaches, based on non-automated digital image analysis (DIA), which are designed to reduce the subjectivity of submerged and surficial fine sediment estimates, and provide a verifiable record of the conditions at the time of sampling. The DIA methods were tested across five systematically selected, contrasting temperate stream and river typologies, over three seasons of monitoring. The resultant sediment metrics were strongly, positively correlated with visual estimates (rs = 0.90, and rs = 0.82, p < 0.01), and similarly strongly, but negatively correlated with a sediment-specific biotic index, suggesting some degree of biological relevance. The DIA technique has the potential to be a valuable tool for application in numerous areas of river research, where a non-destructive, less subjective and verifiable method is desirable.

AB - Deposited fine sediment is an essential component of freshwater ecosystems. Nonetheless, anthropogenic activities can modify natural fine sediment levels, impacting the physical, chemical and biological characteristics of these ecosystems. An ability to quantify deposited fine sediment is critical to understanding its impacts and successfully managing the anthropogenic activities that are responsible for modifying it. One widely used method, the visual estimate technique, relies on subjective estimates of particle size and percentage cover. In this paper, we present two novel alternative approaches, based on non-automated digital image analysis (DIA), which are designed to reduce the subjectivity of submerged and surficial fine sediment estimates, and provide a verifiable record of the conditions at the time of sampling. The DIA methods were tested across five systematically selected, contrasting temperate stream and river typologies, over three seasons of monitoring. The resultant sediment metrics were strongly, positively correlated with visual estimates (rs = 0.90, and rs = 0.82, p < 0.01), and similarly strongly, but negatively correlated with a sediment-specific biotic index, suggesting some degree of biological relevance. The DIA technique has the potential to be a valuable tool for application in numerous areas of river research, where a non-destructive, less subjective and verifiable method is desirable.

KW - Deposited fine sediment

KW - visual estimates

KW - habitat assessment

KW - digital image analysis

KW - river substrate

U2 - 10.1002/rra.3073

DO - 10.1002/rra.3073

M3 - Article

JO - River Research and Applications

JF - River Research and Applications

SN - 1535-1459

ER -