Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782376872933326848 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4471228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wilsonpeters assessingthesulfidefootprintofmusselfarmswithsedimentprofileimageryanewzealandtrial AT vopelkay assessingthesulfidefootprintofmusselfarmswithsedimentprofileimageryanewzealandtrial |