Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients

We utilized the trait-based approach in a novel way to examine how specific phytoplankton traits are related to physical features connected to global change, water quality features connected to catchment change, and nutrient availability connected to nutrient loading. For the analyses, we used summe...

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Main Authors: Sirpa Lehtinen, Sanna Suikkanen, Heidi Hällfors, Jarno Tuimala, Harri Kuosa
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/9/12/2477
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author Sirpa Lehtinen
Sanna Suikkanen
Heidi Hällfors
Jarno Tuimala
Harri Kuosa
author_facet Sirpa Lehtinen
Sanna Suikkanen
Heidi Hällfors
Jarno Tuimala
Harri Kuosa
author_sort Sirpa Lehtinen
collection DOAJ
description We utilized the trait-based approach in a novel way to examine how specific phytoplankton traits are related to physical features connected to global change, water quality features connected to catchment change, and nutrient availability connected to nutrient loading. For the analyses, we used summertime monitoring data originating from the coastal northern Baltic Sea and generalized additive mixed modeling (GAMM). Of the physical features connected to global climate change, temperature was the most important affecting several studied traits. Nitrogen-fixing, buoyant, non-motile, and autotrophic phytoplankton, as well as harmful cyanobacteria, benefited from a higher temperature. Salinity and stratification did not have clear effects on the traits. Water transparency, which in the Baltic Sea is connected to catchment change, had a mostly negative relation to the studied traits. Harmfulness was negatively correlated with transparency, while the share of non-harmful and large-sized phytoplankton was positively related to it. We used nutrient loading source type and total phosphorus (TP) as proxies for nutrient availability connected to anthropogenic eutrophication. The nutrient loading source type did not relate to any of the traits. Our result showing that N-fixing was not related to TP is discussed. The regionality analysis demonstrated that traits should be calculated in both absolute terms (biomass) and proportions (share of total biomass) to get a better view of community changes and to potentially supplement the environmental status assessments.
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spelling doaj.art-44a9934598d14681a5d8abf3ae3f691c2023-11-23T09:38:36ZengMDPI AGMicroorganisms2076-26072021-11-01912247710.3390/microorganisms9122477Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental GradientsSirpa Lehtinen0Sanna Suikkanen1Heidi Hällfors2Jarno Tuimala3Harri Kuosa4Marine Research Centre, Finnish Environment Institute (SYKE), 00790 Helsinki, FinlandMarine Research Centre, Finnish Environment Institute (SYKE), 00790 Helsinki, FinlandMarine Research Centre, Finnish Environment Institute (SYKE), 00790 Helsinki, FinlandIndependent Researcher, 00790 Helsinki, FinlandMarine Research Centre, Finnish Environment Institute (SYKE), 00790 Helsinki, FinlandWe utilized the trait-based approach in a novel way to examine how specific phytoplankton traits are related to physical features connected to global change, water quality features connected to catchment change, and nutrient availability connected to nutrient loading. For the analyses, we used summertime monitoring data originating from the coastal northern Baltic Sea and generalized additive mixed modeling (GAMM). Of the physical features connected to global climate change, temperature was the most important affecting several studied traits. Nitrogen-fixing, buoyant, non-motile, and autotrophic phytoplankton, as well as harmful cyanobacteria, benefited from a higher temperature. Salinity and stratification did not have clear effects on the traits. Water transparency, which in the Baltic Sea is connected to catchment change, had a mostly negative relation to the studied traits. Harmfulness was negatively correlated with transparency, while the share of non-harmful and large-sized phytoplankton was positively related to it. We used nutrient loading source type and total phosphorus (TP) as proxies for nutrient availability connected to anthropogenic eutrophication. The nutrient loading source type did not relate to any of the traits. Our result showing that N-fixing was not related to TP is discussed. The regionality analysis demonstrated that traits should be calculated in both absolute terms (biomass) and proportions (share of total biomass) to get a better view of community changes and to potentially supplement the environmental status assessments.https://www.mdpi.com/2076-2607/9/12/2477morpho-functional traitsphytoplanktoneutrophicationclimate changenitrogen-fixationmixotrophy
spellingShingle Sirpa Lehtinen
Sanna Suikkanen
Heidi Hällfors
Jarno Tuimala
Harri Kuosa
Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
Microorganisms
morpho-functional traits
phytoplankton
eutrophication
climate change
nitrogen-fixation
mixotrophy
title Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
title_full Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
title_fullStr Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
title_full_unstemmed Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
title_short Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients
title_sort phytoplankton morpho functional trait variability along coastal environmental gradients
topic morpho-functional traits
phytoplankton
eutrophication
climate change
nitrogen-fixation
mixotrophy
url https://www.mdpi.com/2076-2607/9/12/2477
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AT heidihallfors phytoplanktonmorphofunctionaltraitvariabilityalongcoastalenvironmentalgradients
AT jarnotuimala phytoplanktonmorphofunctionaltraitvariabilityalongcoastalenvironmentalgradients
AT harrikuosa phytoplanktonmorphofunctionaltraitvariabilityalongcoastalenvironmentalgradients