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Coral reef monitoring, reef assessment technologies, and ecosystem-based management

Citation

Obura, DO and Aeby, G and Amornthammarong, N and Appeltans, W and Bax, N and Bishop, J and Brainard, RE and Chan, S and Fletcher, P and Gordon, TAC and Gramer, L and Gudka, M and Halas, J and Hendee, J and Hodgson, G and Huang, D and Jankulak, M and Jones, A and Kimura, T and Levy, J and Miloslavich, P and Chou, LM and Muller-Karger, F and Osuka, K and Samoilys, M and Simpson, SD and Tun, K and Wongbusarakum, S, Coral reef monitoring, reef assessment technologies, and ecosystem-based management, Frontiers in Marine Science, 6, (SEP) Article 580. ISSN 2296-7745 (2019) [Refereed Article]


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Copyright Statement

Copyright 2019 Obura, Aeby, Amornthammarong, Appeltans, Bax, Bishop, Brainard, Chan, Fletcher, Gordon, Gramer, Gudka,Halas, Hendee, Hodgson, Huang, Jankulak, Jones, Kimura, Levy, Miloslavich, Chou, Muller-Karger, Osuka, Samoilys, Simpson, Tun and Wongbusarakum. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3389/fmars.2019.00580

Abstract

Coral reefs are exceptionally biodiverse and human dependence on their ecosystem services is high. Reefs experience significant direct and indirect anthropogenic pressures, and provide a sensitive indicator of coastal ocean health, climate change, and ocean acidification, with associated implications for society. Monitoring coral reef status and trends is essential to better inform science, management and policy, but the projected collapse of reef systems within a few decades makes the provision of accurate and actionable monitoring data urgent. The Global Coral Reef Monitoring Network has been the foundation for global reporting on coral reefs for two decades, and is entering into a new phase with improved operational and data standards incorporating the Essential Ocean Variables (EOVs) (www.goosocean.org/eov) and Framework for Ocean Observing developed by the Global Ocean Observing System. Three EOVs provide a robust description of reef health: hard coral cover and composition, macro-algal canopy cover, and fish diversity and abundance. A data quality model based on comprehensive metadata has been designed to facilitate maximum global coverage of coral reef data, and tangible steps to track capacity building. Improved monitoring of events such as mass bleaching and disease outbreaks, citizen science, and socio-economic monitoring have the potential to greatly improve the relevance of monitoring to managers and stakeholders, and to address the complex and multi-dimensional interactions between reefs and people. A new generation of autonomous vehicles (underwater, surface, and aerial) and satellites are set to revolutionize and vastly expand our understanding of coral reefs. Promising approaches include Structure from Motion image processing, and acoustic techniques. Across all systems, curation of data in linked and open online databases, with an open data culture to maximize benefits from data integration, and empowering users to take action, are priorities. Action in the next decade will be essential to mitigate the impacts on coral reefs from warming temperatures, through local management and informing national and international obligations, particularly in the context of the Sustainable Development Goals, climate action, and the role of coral reefs as a global indicator. Mobilizing data to help drive the needed behavior change is a top priority for coral reef observing systems.

Item Details

Item Type:Refereed Article
Keywords:ecological monitoring, coral reef, climate change, Essential Ocean Variables (EOV), social-ecological system, GOOS
Research Division:Environmental Sciences
Research Group:Pollution and contamination
Research Field:Pollution and contamination not elsewhere classified
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Environmental policy, legislation and standards
Objective Field:Sustainability indicators
UTAS Author:Bax, N (Professor Nicholas Bax)
UTAS Author:Miloslavich, P (Dr Patricia Miloslavich)
ID Code:137435
Year Published:2019
Web of Science® Times Cited:29
Deposited By:Directorate
Deposited On:2020-02-13
Last Modified:2020-05-22
Downloads:12 View Download Statistics

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