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

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

DOI: 10.7717/peerj.16024

Type: Publication

Year: 2023

Citations: 18

AZORES DEEP-SEA RESEARCH
Publication Open access October 2023

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

Total authors
35
Involved team members
2
Citations
18
References
168

Citations by year

4 years
2026
2
2025
8
2024
7
2023
1

Related to this work

Abstract

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.

Authors

2 involved team members
A
Amy R. Baco
0000-0002-2759-8511

Earth, Ocean, and Atmospheric Sciences, Florida State University, Tallahassee, FL, United States

A
Amelia E. H. Bridges
0000-0002-1422-9637

School of Biological and Marine Science, University of Plymouth, Plymouth, United Kingdom

S
Saskia Brix
0000-0002-3269-8904

Senckenberg am Meer, German Center for Marine Biodiversity Research (DZMB), Senckenberg Nature Research Society, Hamburg, Germany

M
Malcolm R. Clark
0000-0002-0305-0834

National Institute of Water & Atmospheric Research, Wellington, New Zealand

C
Cherisse Du Preez
0000-0001-6239-2191

University of Victoria, Victoria, British Columbia, Canada

+1 more

M
Mari-Lise Franken

University of Cape Town, Cape Town, South Africa

T
Thomas Hourigan

National Oceanic & Atmospheric Administration, Washington, D.C., United States

K
Kerry Howell
0000-0003-3359-1778

School of Biological and Marine Science, University of Plymouth, Plymouth, United Kingdom

L
Lisa A. Levin
0000-0002-2858-8622

Scripps Institution of Oceanography, University of California, San Diego, California, United States

D
Dhugal J. Lindsay
0000-0002-8985-4744

Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan

N
Nicole Morgan
0000-0001-6188-8259

Earth, Ocean, and Atmospheric Sciences, Florida State University, Tallahassee, FL, United States

B
Beatriz E. Mejia-Mercado
0000-0002-2757-1028

Earth, Ocean, and Atmospheric Sciences, Florida State University, Tallahassee, FL, United States

T
Tabitha Pearman
0000-0003-4213-4464

South Atlantic Environmental Research Institute, Stanley, Falkland Islands

K
Katleen Robert
0000-0003-0119-5359

Fisheries and Marine Institute of Memorial University, St. John's, Canada

+1 more

L
Laura Robson

Joint Nature Conservation Committee, Peterborough, United Kingdom

A
Ashley A. Rowden
0000-0003-2975-2524

Victoria University of Wellington, Wellington, New Zealand

+1 more

J
James Taylor
0000-0001-6938-5680

Senckenberg am Meer, German Center for Marine Biodiversity Research (DZMB), Senckenberg Nature Research Society, Hamburg, Germany

M
Michelle Taylor
0000-0001-7271-4385

School of Life Sciences, University of Essex, Essex, United Kingdom

J
Joana R. Xavier
0000-0003-1386-4492

Department of Biological Sciences, University of Bergen, Bergen, Norway

+1 more

Record details

Type
article
Language
EN
Volume
11
Pages
e16024–e16024
ISSN
2167-8359

Keywords

Identification (biology) Geography Marine ecosystem Bycatch Ecology Environmental resource management Data science Fishery Computer science Ecosystem Biology Environmental science Fishing

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9901-862 Horta, Portugal

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