日本地球惑星科学連合2021年大会

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セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境

[A-OS13] Marine ecosystems and biogeochemical cycles: theory, observation and modeling

2021年6月5日(土) 09:00 〜 10:30 Ch.11 (Zoom会場11)

コンビーナ:平田 貴文(北海道大学 北極域研究センター)、伊藤 進一(東京大学大気海洋研究所)、E Eileen Hofmann(Old Dominion University)、N Enrique Curchitser(Rutgers University New Brunswick)、座長:伊藤 進一(東京大学大気海洋研究所)、平田 貴文(北海道大学 北極域研究センター)、Eileen E Hofmann(Old Dominion University)、Enrique N Curchitser(Rutgers University New Brunswick)

09:30 〜 09:45

[AOS13-03] Marine Ecosystem Variations Over the North Pacific and Their Linkage to Large-Scale Climate Variability and Change

*Emi Yati1、Shoshiro Minobe2,3、Nathan Mantua4、Shin-ichi Ito5、Emanuele Di Lorenzo6 (1.Remote Sensing Application Center, Indonesian National Institute of Aeronautics and Space, Jakarta, Indonesia、2.Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan、3.Department of Earth and Planetary Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan、4.Fish Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, Santa Cruz, CA, United States、5.Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan、6.School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, United States)

キーワード:marine ecosystem, decadal climate variability, global warming, North Pacific, regime shift

In order to understand how North Pacific (NP) marine ecosystems have varied, 120 marine biological time series for both the western (29 time series) and eastern (91 time series) NP were analyzed with a Principal Component Analysis (PCA) for the period 1965–2006. This is the first attempt to conduct a multivariate analysis for a large number of marine biological data in the western and eastern NP combined. We used Monte-Carlo simulation to evaluate confidence levels of correlations and explained variance ratio of PCA modes while accounting for auto-correlation within the analyzed time series. All first mode principal components (PC1s), which are the time coefficients of the first PCA modes, calculated for the data in the whole, western, and eastern NP exhibit a long-term trend. The PC1s were associated with an overall increase of Alaskan and Japanese/Russian salmon, and decreases of groundfish across the basin. This mode was closely related to the warming of sea-surface temperature over the NP and over the global oceans, thereby suggesting that the strongest mode of the NP marine ecosystem was already influenced by global warming. The eastern NP PC2, characterized by multi-decadal variability, was correlated positively with salmon and negatively with groundfish. On the other hand, the western NP PC2 exhibited slightly shorter timescale interdecadal variability than the eastern NP PC2 and was negatively correlated with zooplankton and two small pelagic fish time series around Japan. The eastern NP PC2 was most strongly related to the Pacific (inter-)Decadal Oscillation index, while the western NP PC2 was most closely related to the North Pacific Gyre Oscillation index. Consequently, the present analysis provides a new and unified view of climate change and marine ecosystem variations across the western and eastern NP. In particular, it is suggested that global warming has already substantially influenced the NP marine ecosystem, and that groundfish may suffer more than pelagic fish in response to future global warming.


This study has been published in Frontiers in Marine Science. 7:578165. doi: 10.3389/fmars.2020.578165