Interannual Variability of Marine Phytoplankton Spring Bloom Phenology in the North European Basin

In this study, we proposed an 88% match-up threshold method to determine phenological parameters of marine phytoplankton spring bloom (timing, duration, and intensity). That madе it possible to estimate their interannual variability for the period of 1998–2022 in the North European Basin (Barents, Norwegian, and Greenland Seas). According to the results, over the past 25 years the spring bloom intensity in the area has increased with a small trend of 0.02 mg m–3 year–1. However, there were no considerable shifts in the timing. The zonal variability of the phenological characteristics shows that the spring bloom began later at high latitudes.

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Publication Details

Journal
Oceanology
Published
2024-12-01
DOI
https://doi.org/10.1134/s0001437024700929
Citations
1
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.48
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article

Interannual Variability of Marine Phytoplankton Spring Bloom Phenology in the North European Basin

A. S. Malysheva, P. V. Lobanova
1 citations
Oceanology
Marine and coastal ecosystems
0.48
article

Interannual Variability of Marine Phytoplankton Spring Bloom Phenology in the North European Basin

A. S. Malysheva, P. V. Lobanova
article en
1 citations

Abstract

In this study, we proposed an 88% match-up threshold method to determine phenological parameters of marine phytoplankton spring bloom (timing, duration, and intensity). That madе it possible to estimate their interannual variability for the period of 1998–2022 in the North European Basin (Barents, Norwegian, and Greenland Seas). According to the results, over the past 25 years the spring bloom intensity in the area has increased with a small trend of 0.02 mg m–3 year–1. However, there were no considerable shifts in the timing. The zonal variability of the phenological characteristics shows that the spring bloom began later at high latitudes.

OceanologyVol. 64(S1)
St Petersburg University (RU), Lomonosov Moscow State University (RU), Nansen International Environmental and Remote Sensing Center (RU)
Life below water
Openalex Percentile: Top 30%
Marine and coastal ecosystems
0.48
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