Japan Geoscience Union Meeting 2019

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG44] Coastal Ecosystems 2 Coral reefs, seagrass and macroalgal beds, and mangrove

Tue. May 28, 2019 1:45 PM - 3:15 PM 102 (1F)

convener:Yu Umezawa(Tokyo University of Agriculture and Technology), Toshihiro Miyajima(Marine Biogeochemistry Group, Division of Ocean-Earth System Science, Atmosphere and Ocean Research Institute, The University of Tokyo), Atsushi Watanabe(The ocean policy research institute, The Sasakawa peace foundation), Tomihiko Higuchi(Atmosphere and Ocean Research Institute, The University of Tokyo), Chairperson:Yu Umezawa(Tokyo University of Agriculture and Technology), Toshihiro Miyajima(The University of Tokyo), Tomihiko Higuchi(Atmosphere and Ocean Research Institute, The University of Tokyo), Atsushi Watanabe(Tokyo Institute of Technology)

2:25 PM - 2:45 PM

[ACG44-03] Modeling coral polyp-scale bleaching phenomenon and upscaling to reef-scale

★Invited Papers

*Takashi Nakamura1, Tomihiko Higuchi2, Toshihiro Miyajima2, Lawrence Patrick Cases Bernardo1, Kazuo Nadaoka1, Atsushi Watanabe1,3, Hiroyuki Fujimura4 (1.School of Environment and Society, Tokyo Institute of Technology, 2.AORI, The University of Tokyo, 3.The ocean policy research institute, The Sasakawa peace foundation, 4.University of the Ryukyus)

Keywords:coral bleaching, numerical simulation, zooxanthellae, ROS

To elucidate the mechanism responsible for coral bleaching and to project the status of coral communities in the near future, a coral bleaching model was developed based on a reef-scale three-dimensional hydrodynamic–biogeochemical model coupled with a polyp-scale coral bleaching model.

The polyp-scale bleaching model was developed by incorporating the dynamics of photoinhibition, reactive oxygen species (ROS), and zooxanthella abundance based on a previously developed coral polyp model by Nakamura et al. (2013). The polyp-scale model assumes that ROS are produced by zooxanthellae and that corals expel zooxanthellae when the concentration of ROS in their tissues exceeds tolerable levels. When temperature increases, corals release more zooxanthellae because the ROS production rate per zooxanthella cell increases with increasing temperature. This mechanism accounts for coral bleaching at high temperatures. The model assumes that ROS are produced from excess electrons transferred from photosystem II (PSII) that are not used in the downstream photosynthetic process. Photoinhibition, which is a key factor in the transfer of electrons from PSII, was included in the model, and the temperature dependence of Rubisco activity was introduced as a blocking factor in the downstream photosynthetic process. The ROS dynamics include detoxification of ROS by antioxidant substances, and the zooxanthella population dynamics include reproduction, mortality, and the rate of zooxanthellae release, which depends on the ROS damage of the coral cell. Results of simulated incubation experiments under different temperature conditions by the bleaching model reproduced the temperature dependence of the coral bleaching phenomenon. Moreover, recovery process after bleaching was also reproduced, and the ability of the model to describe the recovery process is a unique feature. The model also reproduced the phenomenon that coral bleaching is effectively reduced by light shading. A comparison between photoinhibition and its absence revealed that photoinhibition effectively reduced electron transport from PSII and consequently reduced the production of excess electrons that form ROS. Photoinhibition therefore protects the photosystem and tissues from oxidative damage by ROS. A temperature-dependent repair delay from photoinhibition also reduces ROS production and thereby prevents coral bleaching. The delay may be strategically controlled by zooxanthellae.

The polyp-scale bleaching model was coupled with reef-scale hydrodynamic-biogeochemical model based on the model framework by Nakamura et al. (2018). The model was applied to both the Shiraho coral reef based on Nakamura et al. (2018), and Sekisei Lagoon based on Bernardo et al. (2017). The results of the model simulation confirmed that the model accurately reproduced the spatiotemporal variations of bottom water temperatures on the reef. In particular, the temperatures during the daytime were significantly higher on the reef crest and in shallow nearshore areas than in the offshore seawater. The model confirmed that the spatial pattern of zooxanthella density coincided with the spatial pattern of water temperature on the reef. The model can use the internal condition of the corals to output the parameters that characterize coral population dynamics, such as coral growth rates and mortality rates. The coupled model therefore has the potential to simulate long-term spatiotemporal changes in coral coverage. Although the model still needs some improvement, incorporation of additional modules and improvement of the model will make it a useful tool for evaluating how corals respond to multiple environmental stresses on the reef-scale.