Quantification of the impact of environmental factors on chlorophyll in the open ocean

Dandan ZHAO; Le GAO; Yongsheng XU

doi:10.1007/s00343-020-9121-x

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Quantification of the impact of environmental factors on chlorophyll in the open ocean

Physics | Updated：2023-06-06

- Quantification of the impact of environmental factors on chlorophyll in the open ocean
- Journal of Oceanology and Limnology Vol. 39, Issue 2, Pages: 447-457(2021)
- Affiliations：
  
  1.Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  2.Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
  3.University of Chinese Academy of Sciences, Beijing 100049, China
  4.Center for Ocean Mega-Science, Chinese Academy of Sciences Qingdao 266071, China
- Author bio：
  
  XU Yongsheng, E-mail: yongsheng.xu@qdio.ac.cn
- Funds：
- DOI：10.1007/s00343-020-9121-x
  CLC：
- Received：05 May 2019，
  
  Accepted：22 November 2019，
  
  Online First：12 January 2021，
  
  Published：2021-03
- Accepted：
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Dandan ZHAO, Le GAO, Yongsheng XU. Quantification of the impact of environmental factors on chlorophyll in the open ocean[J]. Journal of Oceanology and Limnology, 2021, 39(2): 447-457.
DOI：

Dandan ZHAO, Le GAO, Yongsheng XU. Quantification of the impact of environmental factors on chlorophyll in the open ocean[J]. Journal of Oceanology and Limnology, 2021, 39(2): 447-457. DOI： 10.1007/s00343-020-9121-x.

摘要

Abstract

Many previous studies of the impact of oceanic environmental factors on chlorophyll (CHL) in a specific region focused on sea surface temperature (SST)

mixed-layer depth (MLD)

or wind stress (WS) alone. In this study

relationship between CHL and all those environmental factors (SST

MLD

and WS) in the open ocean was quantified for five regions within the subtropical gyres and the variation trend of 13-year (2003-2015) was analyzed using satellite observations and Argo measurements. The correlation analysis results show that MLD was correlated positively with CHL

SST was correlated negatively with CHL

and the correlation between CHL and WS was either positive or negative. Based on the significance of the correlations

models representing the relationships were established using the multiple linear regression and analyzed

showing that the environmental factors were the major determinants of CHL change. The regression coefficients show that both SST and MLD have remarkable effect on CHL. Our derived models could be used to diagnose the past changes

understand present variability

and predict the future state of CHL changes based on environmental factors

and help us understand the dynamics of CHL variation in the open ocean.

关键词

Keywords

references

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