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

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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Publication Details

Journal
Marine Pollution Bulletin
Published
2024-11-20
DOI
https://doi.org/10.1016/j.marpolbul.2024.117266
Citations
2
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.40
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article

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

Sachin Budakoti
2 citations
Marine Pollution Bulletin
Water Quality and Pollution Assessment
0.40
article

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

Sachin Budakoti
article en
2 citations

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 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.

Marine Pollution BulletinVol. 209(Pt B)
Lund University (SE)
Life below water
Openalex Percentile: Top 37%
Water Quality and Pollution Assessment
0.40
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