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Examining the impact of water quality and meteorological drivers on primary productivity in the Baltic Sea

Budakoti, Sachin LU (2024) In Marine Pollution Bulletin 209.
Abstract

The Baltic Sea highly susceptible to the proliferation of Phytoplankton blooms. Present work examines the long-term trend and spatio-temporal variability of satellite derived chlorophyll concentration (Chl a) in the Baltic Sea during the period 2004–2021. Furthermore, the influence of water quality and meteorological parameters on Baltic Sea primary productivity has been analyzed using robust Generalized Additive Models (GAM) and Granger Causality statistical test. Statistically significant increasing trend in chlorophyll a concentration is observed in the Baltic Sea at the 95 % confidence interval. GAM model reveals that the most significant controlling factor is sea surface temperature (p < 0.0001), followed by nitrate and... (More)

The Baltic Sea highly susceptible to the proliferation of Phytoplankton blooms. Present work examines the long-term trend and spatio-temporal variability of satellite derived chlorophyll concentration (Chl a) in the Baltic Sea during the period 2004–2021. Furthermore, the influence of water quality and meteorological parameters on Baltic Sea primary productivity has been analyzed using robust Generalized Additive Models (GAM) and Granger Causality statistical test. Statistically significant increasing trend in chlorophyll a concentration is observed in the Baltic Sea at the 95 % confidence interval. GAM model reveals that the most significant controlling factor is sea surface temperature (p < 0.0001), followed by nitrate and phosphate. Both GAM and Granger Causality tests confirm that water quality parameters are the major drivers in limiting the growth of Phytoplankton blooms in the Baltic Sea. Summer bloom shows in-phase relationship with Sea surface temperature and out of phase relationship with the phosphate nutrient.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Chlorophyll, GAM, Granger causality, Phytoplankton
in
Marine Pollution Bulletin
volume
209
article number
117266
publisher
Elsevier
external identifiers
  • scopus:85209581812
  • pmid:39566147
ISSN
0025-326X
DOI
10.1016/j.marpolbul.2024.117266
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 The Author
id
f744d778-5f71-4d13-b047-f47d986f7be3
date added to LUP
2025-01-09 10:20:05
date last changed
2025-07-11 01:48:21
@article{f744d778-5f71-4d13-b047-f47d986f7be3,
  abstract     = {{<p>The Baltic Sea highly susceptible to the proliferation of Phytoplankton blooms. Present work examines the long-term trend and spatio-temporal variability of satellite derived chlorophyll concentration (Chl a) in the Baltic Sea during the period 2004–2021. Furthermore, the influence of water quality and meteorological parameters on Baltic Sea primary productivity has been analyzed using robust Generalized Additive Models (GAM) and Granger Causality statistical test. Statistically significant increasing trend in chlorophyll a concentration is observed in the Baltic Sea at the 95 % confidence interval. GAM model reveals that the most significant controlling factor is sea surface temperature (p &lt; 0.0001), followed by nitrate and phosphate. Both GAM and Granger Causality tests confirm that water quality parameters are the major drivers in limiting the growth of Phytoplankton blooms in the Baltic Sea. Summer bloom shows in-phase relationship with Sea surface temperature and out of phase relationship with the phosphate nutrient.</p>}},
  author       = {{Budakoti, Sachin}},
  issn         = {{0025-326X}},
  keywords     = {{Chlorophyll; GAM; Granger causality; Phytoplankton}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Marine Pollution Bulletin}},
  title        = {{Examining the impact of water quality and meteorological drivers on primary productivity in the Baltic Sea}},
  url          = {{http://dx.doi.org/10.1016/j.marpolbul.2024.117266}},
  doi          = {{10.1016/j.marpolbul.2024.117266}},
  volume       = {{209}},
  year         = {{2024}},
}