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Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery

Management of deep-sea fisheries in areas beyond national jurisdiction by Regional Fisheries Management Organizations/Arrangements (RFMO/As) requires identification of areas with Vulnerable Marine Ecosystems (VMEs). Currently, fisheries data, including trawl and longline bycatch data, are used by ma...

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Autores principales: Baco, Amy R., Ross, Rebecca, Althaus, Franziska, Amon, Diva, Bridges, Amelia E. H., Brix, Saskia, Buhl-Mortensen, Pål, Colaco, Ana, Carreiro-Silva, Marina, Clark, Malcolm R., Du Preez, Cherisse, Franken, Mari-Lise, Gianni, Matthew, Gonzalez-Mirelis, Genoveva, Hourigan, Thomas, Howell, Kerry, Levin, Lisa A., Lindsay, Dhugal J., Molodtsova, Tina N., Morgan, Nicole, Morato, Telmo, Mejia-Mercado, Beatriz E., O’Sullivan, David, Pearman, Tabitha, Price, David, Robert, Katleen, Robson, Laura, Rowden, Ashley A., Taylor, James, Taylor, Michelle, Victorero, Lissette, Watling, Les, Williams, Alan, Xavier, Joana R., Yesson, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576969/
https://www.ncbi.nlm.nih.gov/pubmed/37846312
http://dx.doi.org/10.7717/peerj.16024
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author Baco, Amy R.
Ross, Rebecca
Althaus, Franziska
Amon, Diva
Bridges, Amelia E. H.
Brix, Saskia
Buhl-Mortensen, Pål
Colaco, Ana
Carreiro-Silva, Marina
Clark, Malcolm R.
Du Preez, Cherisse
Franken, Mari-Lise
Gianni, Matthew
Gonzalez-Mirelis, Genoveva
Hourigan, Thomas
Howell, Kerry
Levin, Lisa A.
Lindsay, Dhugal J.
Molodtsova, Tina N.
Morgan, Nicole
Morato, Telmo
Mejia-Mercado, Beatriz E.
O’Sullivan, David
Pearman, Tabitha
Price, David
Robert, Katleen
Robson, Laura
Rowden, Ashley A.
Taylor, James
Taylor, Michelle
Victorero, Lissette
Watling, Les
Williams, Alan
Xavier, Joana R.
Yesson, Chris
author_facet Baco, Amy R.
Ross, Rebecca
Althaus, Franziska
Amon, Diva
Bridges, Amelia E. H.
Brix, Saskia
Buhl-Mortensen, Pål
Colaco, Ana
Carreiro-Silva, Marina
Clark, Malcolm R.
Du Preez, Cherisse
Franken, Mari-Lise
Gianni, Matthew
Gonzalez-Mirelis, Genoveva
Hourigan, Thomas
Howell, Kerry
Levin, Lisa A.
Lindsay, Dhugal J.
Molodtsova, Tina N.
Morgan, Nicole
Morato, Telmo
Mejia-Mercado, Beatriz E.
O’Sullivan, David
Pearman, Tabitha
Price, David
Robert, Katleen
Robson, Laura
Rowden, Ashley A.
Taylor, James
Taylor, Michelle
Victorero, Lissette
Watling, Les
Williams, Alan
Xavier, Joana R.
Yesson, Chris
author_sort Baco, Amy R.
collection PubMed
description Management of deep-sea fisheries in areas beyond national jurisdiction by Regional Fisheries Management Organizations/Arrangements (RFMO/As) requires identification of areas with Vulnerable Marine Ecosystems (VMEs). Currently, fisheries data, including trawl and longline bycatch data, are used by many RFMO/As to inform the identification of VMEs. However, the collection of such data creates impacts and there is a need to collect non-invasive data for VME identification and monitoring purposes. Imagery data from scientific surveys satisfies this requirement, but there currently is no established framework for identifying VMEs from images. Thus, the goal of this study was to bring together a large international team to determine current VME assessment protocols and establish preliminary global consensus guidelines for identifying VMEs from images. An initial assessment showed a lack of consistency among RFMO/A regions regarding what is considered a VME indicator taxon, and hence variability in how VMEs might be defined. In certain cases, experts agreed that a VME could be identified from a single image, most often in areas of scleractinian reefs, dense octocoral gardens, multiple VME species’ co-occurrence, and chemosynthetic ecosystems. A decision flow chart is presented that gives practical interpretation of the FAO criteria for single images. To further evaluate steps of the flow chart related to density, data were compiled to assess whether scientists perceived similar density thresholds across regions. The range of observed densities and the density values considered to be VMEs varied considerably by taxon, but in many cases, there was a statistical difference in what experts considered to be a VME compared to images not considered a VME. Further work is required to develop an areal extent index, to include a measure of confidence, and to increase our understanding of what levels of density and diversity correspond to key ecosystem functions for VME indicator taxa. Based on our results, the following recommendations are made: 1. There is a need to establish a global consensus on which taxa are VME indicators. 2. RFMO/As should consider adopting guidelines that use imagery surveys as an alternative (or complement) to using bycatch and trawl surveys for designating VMEs. 3. Imagery surveys should also be included in Impact Assessments. And 4. All industries that impact the seafloor, not just fisheries, should use imagery surveys to detect and identify VMEs.
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spelling pubmed-105769692023-10-16 Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery Baco, Amy R. Ross, Rebecca Althaus, Franziska Amon, Diva Bridges, Amelia E. H. Brix, Saskia Buhl-Mortensen, Pål Colaco, Ana Carreiro-Silva, Marina Clark, Malcolm R. Du Preez, Cherisse Franken, Mari-Lise Gianni, Matthew Gonzalez-Mirelis, Genoveva Hourigan, Thomas Howell, Kerry Levin, Lisa A. Lindsay, Dhugal J. Molodtsova, Tina N. Morgan, Nicole Morato, Telmo Mejia-Mercado, Beatriz E. O’Sullivan, David Pearman, Tabitha Price, David Robert, Katleen Robson, Laura Rowden, Ashley A. Taylor, James Taylor, Michelle Victorero, Lissette Watling, Les Williams, Alan Xavier, Joana R. Yesson, Chris PeerJ Fisheries and Fish Science Management of deep-sea fisheries in areas beyond national jurisdiction by Regional Fisheries Management Organizations/Arrangements (RFMO/As) requires identification of areas with Vulnerable Marine Ecosystems (VMEs). Currently, fisheries data, including trawl and longline bycatch data, are used by many RFMO/As to inform the identification of VMEs. However, the collection of such data creates impacts and there is a need to collect non-invasive data for VME identification and monitoring purposes. Imagery data from scientific surveys satisfies this requirement, but there currently is no established framework for identifying VMEs from images. Thus, the goal of this study was to bring together a large international team to determine current VME assessment protocols and establish preliminary global consensus guidelines for identifying VMEs from images. An initial assessment showed a lack of consistency among RFMO/A regions regarding what is considered a VME indicator taxon, and hence variability in how VMEs might be defined. In certain cases, experts agreed that a VME could be identified from a single image, most often in areas of scleractinian reefs, dense octocoral gardens, multiple VME species’ co-occurrence, and chemosynthetic ecosystems. A decision flow chart is presented that gives practical interpretation of the FAO criteria for single images. To further evaluate steps of the flow chart related to density, data were compiled to assess whether scientists perceived similar density thresholds across regions. The range of observed densities and the density values considered to be VMEs varied considerably by taxon, but in many cases, there was a statistical difference in what experts considered to be a VME compared to images not considered a VME. Further work is required to develop an areal extent index, to include a measure of confidence, and to increase our understanding of what levels of density and diversity correspond to key ecosystem functions for VME indicator taxa. Based on our results, the following recommendations are made: 1. There is a need to establish a global consensus on which taxa are VME indicators. 2. RFMO/As should consider adopting guidelines that use imagery surveys as an alternative (or complement) to using bycatch and trawl surveys for designating VMEs. 3. Imagery surveys should also be included in Impact Assessments. And 4. All industries that impact the seafloor, not just fisheries, should use imagery surveys to detect and identify VMEs. PeerJ Inc. 2023-10-12 /pmc/articles/PMC10576969/ /pubmed/37846312 http://dx.doi.org/10.7717/peerj.16024 Text en © 2023 Baco et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Fisheries and Fish Science
Baco, Amy R.
Ross, Rebecca
Althaus, Franziska
Amon, Diva
Bridges, Amelia E. H.
Brix, Saskia
Buhl-Mortensen, Pål
Colaco, Ana
Carreiro-Silva, Marina
Clark, Malcolm R.
Du Preez, Cherisse
Franken, Mari-Lise
Gianni, Matthew
Gonzalez-Mirelis, Genoveva
Hourigan, Thomas
Howell, Kerry
Levin, Lisa A.
Lindsay, Dhugal J.
Molodtsova, Tina N.
Morgan, Nicole
Morato, Telmo
Mejia-Mercado, Beatriz E.
O’Sullivan, David
Pearman, Tabitha
Price, David
Robert, Katleen
Robson, Laura
Rowden, Ashley A.
Taylor, James
Taylor, Michelle
Victorero, Lissette
Watling, Les
Williams, Alan
Xavier, Joana R.
Yesson, Chris
Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title_full Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title_fullStr Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title_full_unstemmed Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title_short Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery
title_sort towards a scientific community consensus on designating vulnerable marine ecosystems from imagery
topic Fisheries and Fish Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576969/
https://www.ncbi.nlm.nih.gov/pubmed/37846312
http://dx.doi.org/10.7717/peerj.16024
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