Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific

Zhenxia Liu; Pei Du; Zengjie Wang; Binru Zhao; Wen Luo; Zhaoyuan Yu; Linwang Yuan

doi:10.1007/s13131-024-2420-x

Volume 42 Issue 12

Dec. 2024

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Zhenxia Liu, Pei Du, Zengjie Wang, Binru Zhao, Wen Luo, Zhaoyuan Yu, Linwang Yuan. Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific[J]. Acta Oceanologica Sinica, 2024, 43(12): 85-101. doi: 10.1007/s13131-024-2420-x

Citation:

Zhenxia Liu, Pei Du, Zengjie Wang, Binru Zhao, Wen Luo, Zhaoyuan Yu, Linwang Yuan. Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific[J]. Acta Oceanologica Sinica, 2024, 43(12): 85-101. doi: 10.1007/s13131-024-2420-x

Citation:

Zhenxia Liu, Pei Du, Zengjie Wang, Binru Zhao, Wen Luo, Zhaoyuan Yu, Linwang Yuan. Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific[J]. Acta Oceanologica Sinica, 2024, 43(12): 85-101. doi: 10.1007/s13131-024-2420-x

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Coastal phytoplankton blooms and multivariate analysis with meteorological factors and climate oscillation signals in western North Pacific

doi: 10.1007/s13131-024-2420-x

Zhenxia Liu¹,
Pei Du²,
Zengjie Wang²,
Binru Zhao^{2, 3, 4},
Wen Luo^{2, 3, 4},
Zhaoyuan Yu^{2, 3, 4
,
,},
Linwang Yuan^{2, 3, 4}

1.
School of Environment, Nanjing Normal University, Nanjing 210023, China
2.
School of Geography, Nanjing Normal University, Nanjing 210023, China
3.
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China
4.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

Funds: The National Natural Science Foundation of China under contract Nos 42230406, 42130103 and 42376223.

More Information

Corresponding author: E-mail: yuzhaoyuan@njnu.edu.cn
Received Date: 2024-03-17
Accepted Date: 2024-11-21

Available Online: 2025-01-18

Publish Date: 2024-12-01

Abstract

Abstract

Phytoplankton blooms are complex environmental phenomena driven by multiple factors. Understanding their relationships with meteorological factors and climate oscillations is essential for advancing data-driven and hybrid statistical-dynamical models. However, these relationships have rarely been investigated across different temporal scales. This study employs wavelet transform coherence and multiple wavelet coherence to examine the multiscale and multivariate relationships between phytoplankton blooms, meteorological factors, and climate oscillations in eight large marine ecosystems of the western North Pacific. The results reveal that all phytoplankton blooms in the studied ecosystems exhibit significant annual oscillations, while seasonal climate patterns demonstrate either unimodal or bimodal distributions. A comparison of the wavelet transform coherence and multiple wavelet coherence results indicates that meteorological factors primarily drive short-period variations in phytoplankton blooms, whereas climate oscillations exert more influence on long-term changes. The explanation of phytoplankton blooms increases as the driver factors increase, but there are also some decreasing due to the collinearity between different factors. The sea-air temperature difference emerges as the most significant driving factor, with its mechanisms varying across marine ecosystems: one type influences mixed-layer depth, while the other arises from interspecific differences in temperature sensitivity. Furthermore, the results underscore the importance of integrating non-dominant large-scale circulation indices with predominant meteorological factors for a more comprehensive understanding.
- phytoplankton blooms,
- multiple wavelet coherence,
- meteorological factors,
- climate oscillation signals,
- large marine ecosystems

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