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Remote Sensing of Coral Bleaching Using Temperature and Light: Progress towards an Operational Algorithm

Authors :
William Skirving
Susana Enríquez
John D. Hedley
Sophie Dove
C. Mark Eakin
Robert A. B. Mason
Jacqueline L. De La Cour
Gang Liu
Ove Hoegh-Guldberg
Alan E. Strong
Peter J. Mumby
Roberto Iglesias-Prieto
Source :
Remote Sensing, Vol 10, Iss 1, p 18 (2017)
Publication Year :
2017
Publisher :
MDPI AG, 2017.

Abstract

The National Oceanic and Atmospheric Administration’s Coral Reef Watch program developed and operates several global satellite products to monitor bleaching-level heat stress. While these products have a proven ability to predict the onset of most mass coral bleaching events, they occasionally miss events; inaccurately predict the severity of some mass coral bleaching events; or report false alarms. These products are based solely on temperature and yet coral bleaching is known to result from both temperature and light stress. This study presents a novel methodology (still under development), which combines temperature and light into a single measure of stress to predict the onset and severity of mass coral bleaching. We describe here the biological basis of the Light Stress Damage (LSD) algorithm under development. Then by using empirical relationships derived in separate experiments conducted in mesocosm facilities in the Mexican Caribbean we parameterize the LSD algorithm and demonstrate that it is able to describe three past bleaching events from the Great Barrier Reef (GBR). For this limited example, the LSD algorithm was able to better predict differences in the severity of the three past GBR bleaching events, quantifying the contribution of light to reduce or exacerbate the impact of heat stress. The new Light Stress Damage algorithm we present here is potentially a significant step forward in the evolution of satellite-based bleaching products.

Details

Language :
English
ISSN :
20724292
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f29ed3f6f321433faf1e00d2835be0db
Document Type :
article
Full Text :
https://doi.org/10.3390/rs10010018