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Plankton Community Composition: Disentangling The Roles of Environmental Parameters and PFAS
Halmstad University, School of Business, Innovation and Sustainability.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

This study elucidated the complex drivers influencing plankton community structure in Lake Bolmen, a critical freshwater resource for drinking water production. The study investigated the relative contributions of per- and polyfluoroalkyl substances (PFAS) and a suite of environmental parameters (pH, water temperature, dissolved oxygen, conductivity, turbidity, chlorophyll, total dissolved solids, salinity, total nitrogen, and total organic carbon) on the phytoplankton and zooplankton community composition in Lake Bolmen. By analyzing PFAS concentrations, a range of environmental parameters, and plankton community composition from nine sites, the study found that both environmental factors and PFAS significantly determine plankton community composition. While PFAS concentrations were strongly correlated with salinity, they did not show significant correlations with any other of the measured water quality parameters. Principal Component Analysis (PCA) and Canonical Correspondence Analysis (CCA) revealed specific relationships between environmental parameters and PFAS with various plankton genera, indicating their preferences for certain conditions. Specifically, the plankton genera Pinnularia, Tabularia, Pediastrum, Stauroneis, Aphanizomenon flosaquaqe, Scendesmus, Dinobyron, Gymnozya, Synedra capitata, Synura and Chydorus are showing strong association with the PFAS and environmental parameters. The study underscores the necessity of integrated environmental assessments, considering both traditional water quality parameters and emerging contaminants like PFAS, to effectively monitor and manage lake ecosystem health.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Plankton community, Abiotic factors, Community composition, Multivariate analysis, Aquatic Health
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:hh:diva-56453OAI: oai:DiVA.org:hh-56453DiVA, id: diva2:1970322
External cooperation
Sydvatten
Subject / course
Environmental Science
Educational program
Master's Programme in Applied Environmental Science
Supervisors
Examiners
Available from: 2025-06-23 Created: 2025-06-16 Last updated: 2025-10-01Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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