Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea
Marine phytoplankton biomass dynamics are affected by eutrophication, ocean warming, and ocean acidification. These changing abiotic conditions may impact phytoplankton biomass and its spatiotemporal dynamics. In this study, we used a nutrient–phytoplankton–zooplankton (NPZ) model to quantify the re...
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Multidisciplinary Digital Publishing Institute
2023
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ftmdpi:oai:mdpi.com:/2077-1312/11/8/1510/ 2023-08-20T04:09:02+02:00 Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea Viviana Otero Steven Pint Klaas Deneudt Maarten De Rijcke Jonas Mortelmans Lennert Schepers Patricia Martin-Cabrera Koen Sabbe Wim Vyverman Michiel Vandegehuchte Gert Everaert agris 2023-07-29 application/pdf https://doi.org/10.3390/jmse11081510 EN eng Multidisciplinary Digital Publishing Institute Marine Ecology https://dx.doi.org/10.3390/jmse11081510 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 11; Issue 8; Pages: 1510 primary production ecosystem model phytoplankton biomass dynamics environmental conditions Text 2023 ftmdpi https://doi.org/10.3390/jmse11081510 2023-08-01T11:04:28Z Marine phytoplankton biomass dynamics are affected by eutrophication, ocean warming, and ocean acidification. These changing abiotic conditions may impact phytoplankton biomass and its spatiotemporal dynamics. In this study, we used a nutrient–phytoplankton–zooplankton (NPZ) model to quantify the relative importance of the bottom-up and top-down determinants of phytoplankton biomass dynamics in the Belgian part of the North Sea (BPNS). Using four years (2014–2017) of monthly observations of nutrients, solar irradiance, sea surface temperature, chlorophyll-a, and zooplankton biomass at ten locations, we disentangled the monthly, seasonal, and yearly variation in phytoplankton biomass dynamics. To quantify how the relative importance of determinants changed along a near–offshore gradient, the analysis was performed for three spatial regions, i.e., the nearshore region (<10 km to the coastline), the midshore region (10–30 km), and the offshore region (>30 km). We found that, from year 2014 to 2017, the phytoplankton biomass dynamics ranged from 1.4 to 23.1 mg Chla m−3. Phytoplankton biomass dynamics follow a general seasonal cycle, as is the case in other temperate regional seas, with a distinct spring bloom (5.3–23.1 mg Chla m−3) and a modest autumn bloom (2.9–5.4 mg Chla m−3). This classic bimodal bloom pattern was not observed between 2003 and 2010 in the BPNS. The seasonal pattern was most expressed in the nearshore region. The relative contribution of factors determining phytoplankton biomass dynamics varied spatially and temporally. Throughout a calendar year, solar irradiance and zooplankton grazing were the most influential determinants in all regions, i.e., they jointly explained 38–65% of the variation in the offshore region, 45–71% in the midshore region, and 56–77% in the nearshore region. In the near- and midshore regions, nutrients were the greatest limit on phytoplankton production in the month following the spring bloom (44–55%). Nutrients were a determinant throughout the year in the offshore ... Text Ocean acidification MDPI Open Access Publishing Journal of Marine Science and Engineering 11 8 1510 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
primary production ecosystem model phytoplankton biomass dynamics environmental conditions |
spellingShingle |
primary production ecosystem model phytoplankton biomass dynamics environmental conditions Viviana Otero Steven Pint Klaas Deneudt Maarten De Rijcke Jonas Mortelmans Lennert Schepers Patricia Martin-Cabrera Koen Sabbe Wim Vyverman Michiel Vandegehuchte Gert Everaert Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
topic_facet |
primary production ecosystem model phytoplankton biomass dynamics environmental conditions |
description |
Marine phytoplankton biomass dynamics are affected by eutrophication, ocean warming, and ocean acidification. These changing abiotic conditions may impact phytoplankton biomass and its spatiotemporal dynamics. In this study, we used a nutrient–phytoplankton–zooplankton (NPZ) model to quantify the relative importance of the bottom-up and top-down determinants of phytoplankton biomass dynamics in the Belgian part of the North Sea (BPNS). Using four years (2014–2017) of monthly observations of nutrients, solar irradiance, sea surface temperature, chlorophyll-a, and zooplankton biomass at ten locations, we disentangled the monthly, seasonal, and yearly variation in phytoplankton biomass dynamics. To quantify how the relative importance of determinants changed along a near–offshore gradient, the analysis was performed for three spatial regions, i.e., the nearshore region (<10 km to the coastline), the midshore region (10–30 km), and the offshore region (>30 km). We found that, from year 2014 to 2017, the phytoplankton biomass dynamics ranged from 1.4 to 23.1 mg Chla m−3. Phytoplankton biomass dynamics follow a general seasonal cycle, as is the case in other temperate regional seas, with a distinct spring bloom (5.3–23.1 mg Chla m−3) and a modest autumn bloom (2.9–5.4 mg Chla m−3). This classic bimodal bloom pattern was not observed between 2003 and 2010 in the BPNS. The seasonal pattern was most expressed in the nearshore region. The relative contribution of factors determining phytoplankton biomass dynamics varied spatially and temporally. Throughout a calendar year, solar irradiance and zooplankton grazing were the most influential determinants in all regions, i.e., they jointly explained 38–65% of the variation in the offshore region, 45–71% in the midshore region, and 56–77% in the nearshore region. In the near- and midshore regions, nutrients were the greatest limit on phytoplankton production in the month following the spring bloom (44–55%). Nutrients were a determinant throughout the year in the offshore ... |
format |
Text |
author |
Viviana Otero Steven Pint Klaas Deneudt Maarten De Rijcke Jonas Mortelmans Lennert Schepers Patricia Martin-Cabrera Koen Sabbe Wim Vyverman Michiel Vandegehuchte Gert Everaert |
author_facet |
Viviana Otero Steven Pint Klaas Deneudt Maarten De Rijcke Jonas Mortelmans Lennert Schepers Patricia Martin-Cabrera Koen Sabbe Wim Vyverman Michiel Vandegehuchte Gert Everaert |
author_sort |
Viviana Otero |
title |
Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
title_short |
Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
title_full |
Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
title_fullStr |
Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
title_full_unstemmed |
Pronounced Seasonal and Spatial Variability in Determinants of Phytoplankton Biomass Dynamics along a Near–Offshore Gradient in the Southern North Sea |
title_sort |
pronounced seasonal and spatial variability in determinants of phytoplankton biomass dynamics along a near–offshore gradient in the southern north sea |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/jmse11081510 |
op_coverage |
agris |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
Journal of Marine Science and Engineering; Volume 11; Issue 8; Pages: 1510 |
op_relation |
Marine Ecology https://dx.doi.org/10.3390/jmse11081510 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/jmse11081510 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
11 |
container_issue |
8 |
container_start_page |
1510 |
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1774721696914210816 |