Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX

Teleconnection patterns can be an important tool for investigating the impact of climate change on biological communities. The aim of the study was, using 2003–2020 data on chlorophyll a concentrations (CHL) and plankton primary production (PP) in midsummer, to determine which of the teleconnection...

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Main Authors: Mikhail Golubkov (11459764), Sergey Golubkov (11459767)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
NAO
Online Access:https://doi.org/10.3389/fmars.2021.735790.s004
id ftsmithonian:oai:figshare.com:article/16660906
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/16660906 2023-05-15T15:19:08+02:00 Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX Mikhail Golubkov (11459764) Sergey Golubkov (11459767) 2021-09-22T14:22:32Z https://doi.org/10.3389/fmars.2021.735790.s004 unknown https://figshare.com/articles/dataset/Table_2_Relationships_Between_Northern_Hemisphere_Teleconnection_Patterns_and_Phytoplankton_Productivity_in_the_Neva_Estuary_Northeastern_Baltic_Sea_XLSX/16660906 doi:10.3389/fmars.2021.735790.s004 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering phytoplankton primary production chlorophyll eutrophication indicators climatic fluctuation climate indices atmospheric circulation NAO Dataset 2021 ftsmithonian https://doi.org/10.3389/fmars.2021.735790.s004 2021-12-20T01:44:20Z Teleconnection patterns can be an important tool for investigating the impact of climate change on biological communities. The aim of the study was, using 2003–2020 data on chlorophyll a concentrations (CHL) and plankton primary production (PP) in midsummer, to determine which of the teleconnection patterns have most pronounced effects on phytoplankton productivity in the estuary located on the border between western and eastern Europe. CHL correlated significantly with the winter values of the North Atlantic Oscillation (NAOw) and Scandinavia (SCANDw) indices, as well as with the values of the annual Polar/Eurasian (POLy) and annual Arctic Oscillation (AOy) indices. PP was significantly correlated with the values of POLy. East Atlantic/Western Russia pattern showed no significant correlation with both phytoplankton indicators. Stepwise multiple linear regressions were performed to determine the most influential indices affecting CHL and PP in the Neva Estuary. POLy, SCANDw, and NAOw appeared to be the main predictors in CHL multiple regression model, while the values of POLy and the July NAO and SCAND values were the main predictors in the PP model. According to our research, the productivity of phytoplankton in the Neva Estuary, located in the most northeastern part of the Baltic Sea, showed a significant relationship with the POL, which determines weather conditions in the northeastern regions of Eurasia. Possible mechanisms of the influence of these teleconnection patterns on phytoplankton productivity are discussed. Using the obtained multi-regression equations and the values of climatic indices, we calculated the values of CHL and PP for 1951–2002 and compared them with the results of field observations. The calculated and measured values of CHL and PP showed a significant increase in phytoplankton productivity in the Neva Estuary in the second half of the 2010s compared to earlier periods. In some years of the 1950s, 1980s, and late 1990s, CHL could also be above average and the low phytoplankton productivity should have been observed in the 1960s–1970s. This indicates a significant contribution of current climate change to fluctuation in phytoplankton productivity observed in recent decades, which should be taken into account when developing measures to protect aquatic ecosystems from eutrophication. Dataset Arctic Climate change North Atlantic North Atlantic oscillation Phytoplankton Unknown Arctic Neva ENVELOPE(15.407,15.407,68.061,68.061)
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
phytoplankton
primary production
chlorophyll
eutrophication indicators
climatic fluctuation
climate indices
atmospheric circulation
NAO
spellingShingle Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
phytoplankton
primary production
chlorophyll
eutrophication indicators
climatic fluctuation
climate indices
atmospheric circulation
NAO
Mikhail Golubkov (11459764)
Sergey Golubkov (11459767)
Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
topic_facet Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
phytoplankton
primary production
chlorophyll
eutrophication indicators
climatic fluctuation
climate indices
atmospheric circulation
NAO
description Teleconnection patterns can be an important tool for investigating the impact of climate change on biological communities. The aim of the study was, using 2003–2020 data on chlorophyll a concentrations (CHL) and plankton primary production (PP) in midsummer, to determine which of the teleconnection patterns have most pronounced effects on phytoplankton productivity in the estuary located on the border between western and eastern Europe. CHL correlated significantly with the winter values of the North Atlantic Oscillation (NAOw) and Scandinavia (SCANDw) indices, as well as with the values of the annual Polar/Eurasian (POLy) and annual Arctic Oscillation (AOy) indices. PP was significantly correlated with the values of POLy. East Atlantic/Western Russia pattern showed no significant correlation with both phytoplankton indicators. Stepwise multiple linear regressions were performed to determine the most influential indices affecting CHL and PP in the Neva Estuary. POLy, SCANDw, and NAOw appeared to be the main predictors in CHL multiple regression model, while the values of POLy and the July NAO and SCAND values were the main predictors in the PP model. According to our research, the productivity of phytoplankton in the Neva Estuary, located in the most northeastern part of the Baltic Sea, showed a significant relationship with the POL, which determines weather conditions in the northeastern regions of Eurasia. Possible mechanisms of the influence of these teleconnection patterns on phytoplankton productivity are discussed. Using the obtained multi-regression equations and the values of climatic indices, we calculated the values of CHL and PP for 1951–2002 and compared them with the results of field observations. The calculated and measured values of CHL and PP showed a significant increase in phytoplankton productivity in the Neva Estuary in the second half of the 2010s compared to earlier periods. In some years of the 1950s, 1980s, and late 1990s, CHL could also be above average and the low phytoplankton productivity should have been observed in the 1960s–1970s. This indicates a significant contribution of current climate change to fluctuation in phytoplankton productivity observed in recent decades, which should be taken into account when developing measures to protect aquatic ecosystems from eutrophication.
format Dataset
author Mikhail Golubkov (11459764)
Sergey Golubkov (11459767)
author_facet Mikhail Golubkov (11459764)
Sergey Golubkov (11459767)
author_sort Mikhail Golubkov (11459764)
title Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
title_short Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
title_full Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
title_fullStr Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
title_full_unstemmed Table_2_Relationships Between Northern Hemisphere Teleconnection Patterns and Phytoplankton Productivity in the Neva Estuary (Northeastern Baltic Sea).XLSX
title_sort table_2_relationships between northern hemisphere teleconnection patterns and phytoplankton productivity in the neva estuary (northeastern baltic sea).xlsx
publishDate 2021
url https://doi.org/10.3389/fmars.2021.735790.s004
long_lat ENVELOPE(15.407,15.407,68.061,68.061)
geographic Arctic
Neva
geographic_facet Arctic
Neva
genre Arctic
Climate change
North Atlantic
North Atlantic oscillation
Phytoplankton
genre_facet Arctic
Climate change
North Atlantic
North Atlantic oscillation
Phytoplankton
op_relation https://figshare.com/articles/dataset/Table_2_Relationships_Between_Northern_Hemisphere_Teleconnection_Patterns_and_Phytoplankton_Productivity_in_the_Neva_Estuary_Northeastern_Baltic_Sea_XLSX/16660906
doi:10.3389/fmars.2021.735790.s004
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2021.735790.s004
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