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Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial

Growing numbers and increased stocking of marine mussel farms make reliable techniques for environmental effect assessment a priority. Previously, we showed how the color intensity of soft sediment could be used to estimate its acid volatile sulfide (AVS) content, a product of the anaerobic microbia...

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Autores principales: Wilson, Peter S., Vopel, Kay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471228/
https://www.ncbi.nlm.nih.gov/pubmed/26083351
http://dx.doi.org/10.1371/journal.pone.0129894
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author Wilson, Peter S.
Vopel, Kay
author_facet Wilson, Peter S.
Vopel, Kay
author_sort Wilson, Peter S.
collection PubMed
description Growing numbers and increased stocking of marine mussel farms make reliable techniques for environmental effect assessment a priority. Previously, we showed how the color intensity of soft sediment could be used to estimate its acid volatile sulfide (AVS) content, a product of the anaerobic microbial degradation of organic matter deposits. We then proposed to include assessments of the AVS farm footprint in marine farm monitoring, in particular, to investigate temporal changes in the extent of the seafloor area of elevated sediment AVS content. Such assessment requires accurate detection of the AVS footprint boundary. Here, we demonstrate how to detect this boundary with analyses of sediment color intensity. We analyzed 182 sediment profile images taken along three transects leading from approximately 50 m inside to 200 m outside a long-line mussel farm in New Zealand and found that the mean sediment color intensity inside the farm boundary was almost one third lower than that of the sediment distant from the farm. Segmented regression analysis of the combined color intensity data revealed a breakpoint in the trend of increasing grey values with increasing distance from the farm at 56 ± 13 m (± 95% confidence interval of the breakpoint) outside the mussel farm. Statistical analyses indicated that the extent of the color intensity footprint was a function of water column depth, as was shown visually using mapping methods; organic particles disperse further in a deeper seawater column. We conclude that for soft coastal sediments, our sampling and data analysis techniques may provide a rapid and reliable supplement to existing benthic surveys that assess environmental effects of mussel farms.
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spelling pubmed-44712282015-06-29 Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial Wilson, Peter S. Vopel, Kay PLoS One Research Article Growing numbers and increased stocking of marine mussel farms make reliable techniques for environmental effect assessment a priority. Previously, we showed how the color intensity of soft sediment could be used to estimate its acid volatile sulfide (AVS) content, a product of the anaerobic microbial degradation of organic matter deposits. We then proposed to include assessments of the AVS farm footprint in marine farm monitoring, in particular, to investigate temporal changes in the extent of the seafloor area of elevated sediment AVS content. Such assessment requires accurate detection of the AVS footprint boundary. Here, we demonstrate how to detect this boundary with analyses of sediment color intensity. We analyzed 182 sediment profile images taken along three transects leading from approximately 50 m inside to 200 m outside a long-line mussel farm in New Zealand and found that the mean sediment color intensity inside the farm boundary was almost one third lower than that of the sediment distant from the farm. Segmented regression analysis of the combined color intensity data revealed a breakpoint in the trend of increasing grey values with increasing distance from the farm at 56 ± 13 m (± 95% confidence interval of the breakpoint) outside the mussel farm. Statistical analyses indicated that the extent of the color intensity footprint was a function of water column depth, as was shown visually using mapping methods; organic particles disperse further in a deeper seawater column. We conclude that for soft coastal sediments, our sampling and data analysis techniques may provide a rapid and reliable supplement to existing benthic surveys that assess environmental effects of mussel farms. Public Library of Science 2015-06-17 /pmc/articles/PMC4471228/ /pubmed/26083351 http://dx.doi.org/10.1371/journal.pone.0129894 Text en © 2015 Wilson, Vopel http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wilson, Peter S.
Vopel, Kay
Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title_full Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title_fullStr Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title_full_unstemmed Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title_short Assessing the Sulfide Footprint of Mussel Farms with Sediment Profile Imagery: A New Zealand Trial
title_sort assessing the sulfide footprint of mussel farms with sediment profile imagery: a new zealand trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471228/
https://www.ncbi.nlm.nih.gov/pubmed/26083351
http://dx.doi.org/10.1371/journal.pone.0129894
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