Lost in translation? Multi-metric macrobenthos indicators and bottom trawling

Research output: Contribution to journalJournal articleResearchpeer-review

215 Downloads (Pure)

Abstract

The member states of the European Union use multi-metric macrobenthos indicators to monitor the ecological status of their marine waters in relation to the Water Framework and Marine Strategy Framework Directives. The indicators translate the general descriptors of ecological quality in the directives into a single value of ecological status by combining indices of species diversity, species sensitivity and density. Studies and inter-calibration exercises have shown that the indicators respond to chemical pollution and organic enrichment, but little is known about their response to bottom trawling. We use linear mixed effects models to analyze how bottom trawling intensity affects the indicators used in the Danish (Danish Quality Index, DKI) and Swedish (Benthic Quality Index, BQI) environmental monitoring programs in the Kattegat, the sea area between Sweden and Denmark. Using year and station as random variables and trawling intensity, habitat type, salinity and depth as fixed variables we find a significant negative relationship between the BQI indicator and bottom trawling, while the DKI is related significantly to salinity, but not to trawling intensity. Among the indicator components, the species diversity and sensitivity indices used in the DKI are not significantly linked to trawling, and trawling only affects the BQI when species sensitivities are derived from rarefied samples. Because the number of species recorded per sample (species density) is limited by the number of individuals per sample (density), we expect species density and density to be positively correlated. This correlation was confirmed by a simulation model and by statistical analysis of the bottom samples in which log species density was highly significantly related to log density (r = 0.75, df = 144, p 
Original languageEnglish
JournalEcological Indicators
Volume82
Pages (from-to)260-270
ISSN1470-160X
DOIs
Publication statusPublished - 2017

Keywords

  • Water Resources
  • Environmental Engineering
  • Chemistry
  • Chemical Products Generally
  • Physical Properties of Gases, Liquids and Solids
  • Bottom trawling
  • Density
  • Macrobenthos indicators
  • Marine strategy framework directive
  • Species richness
  • Water framework directive
  • Biodiversity
  • Density (specific gravity)
  • Ecology
  • Environmental regulations
  • Forestry
  • Indicators (chemical)
  • Pollution control
  • Water conservation
  • Macro benthos
  • Marine strategy framework directives
  • Water Framework Directives
  • Fisheries

Cite this

@article{5a7a557744164528a9b68effd991aacb,
title = "Lost in translation? Multi-metric macrobenthos indicators and bottom trawling",
abstract = "The member states of the European Union use multi-metric macrobenthos indicators to monitor the ecological status of their marine waters in relation to the Water Framework and Marine Strategy Framework Directives. The indicators translate the general descriptors of ecological quality in the directives into a single value of ecological status by combining indices of species diversity, species sensitivity and density. Studies and inter-calibration exercises have shown that the indicators respond to chemical pollution and organic enrichment, but little is known about their response to bottom trawling. We use linear mixed effects models to analyze how bottom trawling intensity affects the indicators used in the Danish (Danish Quality Index, DKI) and Swedish (Benthic Quality Index, BQI) environmental monitoring programs in the Kattegat, the sea area between Sweden and Denmark. Using year and station as random variables and trawling intensity, habitat type, salinity and depth as fixed variables we find a significant negative relationship between the BQI indicator and bottom trawling, while the DKI is related significantly to salinity, but not to trawling intensity. Among the indicator components, the species diversity and sensitivity indices used in the DKI are not significantly linked to trawling, and trawling only affects the BQI when species sensitivities are derived from rarefied samples. Because the number of species recorded per sample (species density) is limited by the number of individuals per sample (density), we expect species density and density to be positively correlated. This correlation was confirmed by a simulation model and by statistical analysis of the bottom samples in which log species density was highly significantly related to log density (r = 0.75, df = 144, p ",
keywords = "Water Resources, Environmental Engineering, Chemistry, Chemical Products Generally, Physical Properties of Gases, Liquids and Solids, Bottom trawling, Density, Macrobenthos indicators, Marine strategy framework directive, Species richness, Water framework directive, Biodiversity, Density (specific gravity), Ecology, Environmental regulations, Forestry, Indicators (chemical), Pollution control, Water conservation, Macro benthos, Marine strategy framework directives, Water Framework Directives, Fisheries",
author = "Henrik Gislason and Francois Bastardie and Dinesen, {Grete E.} and Josefine Egekvist and Eigaard, {Ole Ritzau}",
year = "2017",
doi = "10.1016/j.ecolind.2017.07.004",
language = "English",
volume = "82",
pages = "260--270",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier",

}

TY - JOUR

T1 - Lost in translation? Multi-metric macrobenthos indicators and bottom trawling

AU - Gislason, Henrik

AU - Bastardie, Francois

AU - Dinesen, Grete E.

AU - Egekvist, Josefine

AU - Eigaard, Ole Ritzau

PY - 2017

Y1 - 2017

N2 - The member states of the European Union use multi-metric macrobenthos indicators to monitor the ecological status of their marine waters in relation to the Water Framework and Marine Strategy Framework Directives. The indicators translate the general descriptors of ecological quality in the directives into a single value of ecological status by combining indices of species diversity, species sensitivity and density. Studies and inter-calibration exercises have shown that the indicators respond to chemical pollution and organic enrichment, but little is known about their response to bottom trawling. We use linear mixed effects models to analyze how bottom trawling intensity affects the indicators used in the Danish (Danish Quality Index, DKI) and Swedish (Benthic Quality Index, BQI) environmental monitoring programs in the Kattegat, the sea area between Sweden and Denmark. Using year and station as random variables and trawling intensity, habitat type, salinity and depth as fixed variables we find a significant negative relationship between the BQI indicator and bottom trawling, while the DKI is related significantly to salinity, but not to trawling intensity. Among the indicator components, the species diversity and sensitivity indices used in the DKI are not significantly linked to trawling, and trawling only affects the BQI when species sensitivities are derived from rarefied samples. Because the number of species recorded per sample (species density) is limited by the number of individuals per sample (density), we expect species density and density to be positively correlated. This correlation was confirmed by a simulation model and by statistical analysis of the bottom samples in which log species density was highly significantly related to log density (r = 0.75, df = 144, p 

AB - The member states of the European Union use multi-metric macrobenthos indicators to monitor the ecological status of their marine waters in relation to the Water Framework and Marine Strategy Framework Directives. The indicators translate the general descriptors of ecological quality in the directives into a single value of ecological status by combining indices of species diversity, species sensitivity and density. Studies and inter-calibration exercises have shown that the indicators respond to chemical pollution and organic enrichment, but little is known about their response to bottom trawling. We use linear mixed effects models to analyze how bottom trawling intensity affects the indicators used in the Danish (Danish Quality Index, DKI) and Swedish (Benthic Quality Index, BQI) environmental monitoring programs in the Kattegat, the sea area between Sweden and Denmark. Using year and station as random variables and trawling intensity, habitat type, salinity and depth as fixed variables we find a significant negative relationship between the BQI indicator and bottom trawling, while the DKI is related significantly to salinity, but not to trawling intensity. Among the indicator components, the species diversity and sensitivity indices used in the DKI are not significantly linked to trawling, and trawling only affects the BQI when species sensitivities are derived from rarefied samples. Because the number of species recorded per sample (species density) is limited by the number of individuals per sample (density), we expect species density and density to be positively correlated. This correlation was confirmed by a simulation model and by statistical analysis of the bottom samples in which log species density was highly significantly related to log density (r = 0.75, df = 144, p 

KW - Water Resources

KW - Environmental Engineering

KW - Chemistry

KW - Chemical Products Generally

KW - Physical Properties of Gases, Liquids and Solids

KW - Bottom trawling

KW - Density

KW - Macrobenthos indicators

KW - Marine strategy framework directive

KW - Species richness

KW - Water framework directive

KW - Biodiversity

KW - Density (specific gravity)

KW - Ecology

KW - Environmental regulations

KW - Forestry

KW - Indicators (chemical)

KW - Pollution control

KW - Water conservation

KW - Macro benthos

KW - Marine strategy framework directives

KW - Water Framework Directives

KW - Fisheries

U2 - 10.1016/j.ecolind.2017.07.004

DO - 10.1016/j.ecolind.2017.07.004

M3 - Journal article

VL - 82

SP - 260

EP - 270

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -