Mesoscale eddy modulation of subsurface chlorophyll maximum layers in the South China Sea
Xu, Wenlong and Wang, Guifen and Cheng, Xuhua and Xing, Xiaogang and Qin, Jianhuang and Zhou, Guidi and Jiang, Long and Chen, Bingzhang (2023) Mesoscale eddy modulation of subsurface chlorophyll maximum layers in the South China Sea. Journal of Geophysical Research: Biogeosciences, 128 (11). e2023JG007648. (https://doi.org/10.1029/2023JG007648)
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Abstract
Subsurface chlorophyll maximum (SCM) layers contribute considerably to the integrated biomass of the water column and can be strongly modulated by mesoscale eddies that are ubiquitous in the global ocean. The mechanisms of eddy-induced surface chlorophyll concentration have been extensively examined in the South China Sea (SCS). However, the potential impact of mesoscale eddies on SCM layers remains unclear. We examined the influence of mesoscale eddies on the depth, thickness and magnitude of SCM layers in the SCS using output from an eddy-permitting biological–physical coupled model over a 22-year period. Our study shows that nutrient distribution is largely driven by eddy dynamics, with cyclonic eddies enhancing the supply of inorganic nutrients in the upper layers by uplifting the thermocline, and downward displacement of the thermocline in anticyclonic eddies, reducing the nutrient supply into the euphotic zone from the depth. We found that anticyclonic (cyclonic) eddies are responsible for increased (decreased) SCM depth and decreased (increased) SCM magnitude; SCM thickness decreased in cyclonic eddies but slightly increased in anticyclonic eddies. The effects of mesoscale eddies depend on eddy amplitude. Maximal anomalies in depth, thickness and magnitude always occur near the center of eddies. Phytoplankton community structure at SCM layers is also affected by eddies, with more diatoms in cyclonic eddies and more coccolithophores in anticyclonic eddies. Our study will advance our understanding of mesoscale physical–biogeochemical interactions.
ORCID iDs
Xu, Wenlong, Wang, Guifen, Cheng, Xuhua, Xing, Xiaogang, Qin, Jianhuang, Zhou, Guidi, Jiang, Long and Chen, Bingzhang ORCID: https://orcid.org/0000-0002-1573-7473;-
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Item type: Article ID code: 88172 Dates: DateEvent30 November 2023Published26 October 2023Published Online9 October 2023AcceptedSubjects: Geography. Anthropology. Recreation > Environmental Sciences Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 14 Feb 2024 11:40 Last modified: 07 Sep 2024 00:49 URI: https://strathprints.strath.ac.uk/id/eprint/88172