A mechanistic model of coral bleaching due to temperature-mediated light-driven reactive oxygen build-up in zooxanthellae

Baird, Mark E.; Mongin, Mathieu; Rizwi, Farhan; Bay, Line K.; Cantin, Neal E.; Soja‐Woźniak, Monika; Skerratt, Jennifer

doi:10.1016/j.ecolmodel.2018.07.013

Cited by 42 publications

(39 citation statements)

References 63 publications

(80 reference statements)

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“…Here, it has been shown, under simulated in hospite conditions, that the cellular concentration of various ROS/RNS species using different thermal and light conditions has both physiological consistencies, and phylogenetic signals, in members of the Symbiodiniaceae. The results reported here are also consistent with modeling results that incorporated varying levels of PAR irradiance and thermal regimes (Cunning et al ; Baird et al ). From a mechanistic perspective, the relative concentration of 1 O 2 observed in these experiments is significantly lower than all other ROS/RNS species for all members of the Symbiodiniaceae tested, but especially in the dark.…”

Section: Discussionsupporting

confidence: 91%

Phylogenetic signature of light and thermal stress for the endosymbiotic dinoflagellates of corals (Family Symbiodiniaceae)

Lesser

2019

Limnology & Oceanography

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Coral reefs around the world have been affected by a climate‐change induced phenomenon known as “coral bleaching,” which is caused by the interaction between high irradiance and elevated seawater temperatures, and involves the mass expulsion of Symbiodiniaceae from anemones, sponges, and corals. The primary drivers of this phenomenon are the inherent genetic variability in the Family Symbiodiniaceae, and the variability in the abiotic environment for variables such as irradiance and temperature. Recent experiments have either disregarded the important interactive role of irradiance or have suggested that photooxidative stress is not a prerequisite for coral bleaching because certain reactive oxygen species (ROS) can be produced in the dark. Here, fluorescent probes are used as proxies for the relative concentration of ROS in different genera of cultured Symbiodiniaceae under varying thermal and light conditions. The results show that taxon‐specific patterns of the concentration of ROS are observed but that all genera tested produced significantly greater amounts of superoxide radicals and hydrogen peroxide, compared to singlet oxygen, when exposed to high light and thermal stress. These results are contextualized in relation to the primary drivers of ROS production and the photo‐physiological basis for differences in ROS production that may then be correlated with symbiont driven coral bleaching.

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Section: Discussionsupporting

confidence: 91%

Phylogenetic signature of light and thermal stress for the endosymbiotic dinoflagellates of corals (Family Symbiodiniaceae)

Lesser

2019

Limnology & Oceanography

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“…This is likely also true for the regulatory factors, notably oxygen availability, where eutrophication events that drive hypoxia are occurring against the backdrop of ocean warming‐driven deoxygenation (e.g., Altieri et al, ). Consequently, while environmental models describing reef trajectories are becoming increasingly sophisticated (e.g., Baird et al, ; Ellis et al, in press; Kumagai, Yamano, & Committee Sango‐Map‐Project, ; Wolff et al, ), we now need to urgently develop these to account for how net bleaching outcomes reflect dose dependencies within the entire environmental network (Figure ), and in turn the affect the inherent underlying metabolic network(s) (Figure ). This is no small task but central to guiding more informed management decisions and interventions based on what will bleach, where and when.…”

Section: Environmental Interactions Regulate Networked Bleaching At Tmentioning

confidence: 99%

“…However, in doing so, management (re‐) prioritization must be careful that efforts to minimize exposure to one stressor does not increase exposure to another (see Bruno et al, ), returning us a central issue: how can MPA (re‐) planning be effectively achieved without understanding the complex environmental network that governs bleaching susceptibility? Realizing such a goal clearly rests on rapidly improving capacity to monitor reef environment condition, but also applying these data to more advanced network models that can track how changing reef environments (Figure ; see also, Ellis et al, in press) trigger alternate metabolic cascades and hence bleaching outcomes (Figure ; Baird et al, ; Kumagai, Yamano, & Committee Sango‐Map‐Project, ).…”

Section: Operationalizing Management In the Framework Of Bleaching‐dementioning

confidence: 99%

Coral bleaching patterns are the outcome of complex biological and environmental networking

Suggett

Smith

2019

Global Change Biology

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Continued declines in coral reef health over the past three decades have been punctuated by severe mass coral bleaching‐induced mortality events that have grown in intensity and frequency under climate change. Intensive global research efforts have therefore persistently focused on bleaching phenomena to understand where corals bleach, when and why—resulting in a large—yet still somewhat patchy—knowledge base. Particularly catastrophic bleaching‐induced coral mortality events in the past 5 years have catalyzed calls for a more diverse set of reef management tools, extending far beyond climate mitigation and reef protection, to also include more aggressive interventions. However, the effectiveness of these various tools now rests on rapidly assimilating our knowledge base of coral bleaching into more integrated frameworks. Here, we consider how the past three decades of intensive coral bleaching research has established the basis for complex biological and environmental networks, which together regulate outcomes of bleaching severity. We discuss how we now have enough scaffold for conceptual biological and environmental frameworks underpinning bleaching susceptibility, but that new tools are urgently required to translate this to an operational system informing—and testing—bleaching outcomes. Specifically, adopting network models that can fully describe and predict metabolic functioning of coral holobionts, and how this functioning is regulated by complex doses and interactions among environmental factors. Identifying knowledge gaps limiting operation of such models is the logical step to immediately guide and prioritize future experiments and observations. We are at a time‐critical point where we can implement new capacity to resolve how coral bleaching patterns emerge from complex biological–environmental networks, and so more effectively inform rapidly evolving ecological management and social adaptation frameworks aimed at securing the future of coral reefs.

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“…A number of model developments were undertaken during eReefs to represent important processes that include improved numerical forcing of catchment (Herzfeld 2015), and open-ocean boundary conditions (Herzfeld and Gillibrand 2015), sub-grid scale reef parameterisations, assimilation of remotely-sensed surface reflectance data (Jones et al 2016), development of additional biogeochemical sub-models including an optical model that simulates water leaving radiances (Baird et al 2016b), representation of the coral host-symbiont relationship and its response to bleaching (Gustafsson et al 2014;Baird et al 2018), seagrass growth (Baird et al 2016a), chlorophyll synthesis (Baird et al 2013) and production by the marine cyanobacteria Trichodesmium (Robson et al 2013).…”

Section: Gbr Regional Marine Modelsmentioning

confidence: 99%

“…Assessing bleaching on the GBR Baird et al (2018) used the coral-symbiont sub-model developed in eReefs to simulateusing GBR1the 2016 bleaching event along the length on the GBR. The coral-symbiont sub-model uses a mechanistic representation of environmental forcing and considers temperature-mediated, light-driven build-up of reactive oxygen species leading to zooxanthellae expulsion and explicitly represents the coral host biomass, as well as zooxanthellae biomass, intracellular pigment concentration, nutrient status, and the dynamics of reaction centres and the xanthophyll cycle.…”

Section: Tracking Dispersal Of Crown-of-thorns Starfish (Cots)mentioning

confidence: 99%

eReefs: An operational information system for managing the Great Barrier Reef

Steven

Baird

Brinkman

et al. 2019

Journal of Operational Oceanography

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eReefs is a comprehensive interoperable information platform that has been developed for the Great Barrier Reef (GBR) region to provide users with access to improved environmental intelligence allowing them to assess past, present, and future conditions, as well as management options to mitigate the risks associated with multiple and sometimes competing uses of the GBR. eReefs is built upon an integrated system of data, catchment and marine models, visualisation, reporting and decision support tools that span the entire GBR area. This communication briefly describes eReefs architecture and components and provides examples of applications that have been used to inform policy and management decisions, and finally discusses challenges and key learnings and considers future developments and applications.

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A mechanistic model of coral bleaching due to temperature-mediated light-driven reactive oxygen build-up in zooxanthellae

Cited by 42 publications

References 63 publications

Phylogenetic signature of light and thermal stress for the endosymbiotic dinoflagellates of corals (Family Symbiodiniaceae)

Phylogenetic signature of light and thermal stress for the endosymbiotic dinoflagellates of corals (Family Symbiodiniaceae)

Coral bleaching patterns are the outcome of complex biological and environmental networking

eReefs: An operational information system for managing the Great Barrier Reef

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