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Record W7084170234

Bridging the gap between knowledge and action: Collaborative science for managing the impacts of eutrophication and harmful algal blooms on lake ecosystem services

2025· article· en· W7084170234 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Electrodynamics and Casimir Effect
Canadian institutionsnot available
Fundersnot available
KeywordsEutrophicationEcosystem servicesEcosystemWater qualityClimate changeAlgal bloomAquatic ecosystemLake ecosystem
DOInot available

Abstract

fetched live from OpenAlex

Lakes around the world are experiencing increasing degradation due to climate change and human activity. In particular, cultural eutrophication—defined as the overfertilization of waterbodies with nutrients such as nitrogen and phosphorus due to human activities—and associated harmful algal blooms pose significant environmental, social, and economic challenges. These challenges include declines in biodiversity, disruptions to drinking water treatment, and loss of cultural ecosystem services such as recreation. Despite extensive scientific understanding of eutrophication, a gap persists between understanding and effective management. This thesis aims to bridge that gap by examining the long-term drivers and societal impacts of water quality degradation in two regionally important, diverse, temperate lake ecosystems in Canada: Buffalo Pound Lake in Saskatchewan and Elk/Beaver Lake in British Columbia. By collaborating with end-users and community members and applying biophysical and economic modelling, this thesis advances the understanding of how eutrophication and broader water quality degradation affect key lake ecosystem services—such as drinking water provision and cultural services—and offers recommendations to close the gap between knowledge and action. To examine impacts on drinking water provision in Buffalo Pound Lake—a shallow drinking water reservoir in a highly agricultural, dryland region—I use generalized additive modeling and long-term data (30+ years) to identify key drivers impacting source water quality. In Elk/Beaver Lake, another lake valued for its cultural ecosystem services, I used an economic tool known as a discrete choice experiment to understand community preferences and willingness to pay for lake restoration. Key findings from these two case studies include: 1) climate variability—including both wet, cool and warm, dry cycles—is a key driver of phytoplankton biomass (measured as chlorophyll a and overall water treatability, as indicated by concentrations of dissolved organic carbon, total dissolved solids, turbidity, and odour; 2) interbasin transfers from mesotrophic supply reservoirs may have dilution benefits for nutrients, phytoplankton biomass, and dissolved organic carbon, although these benefits are constrained by physical and social limitations and may involve trade-offs such as increased turbidity; 3) lake degradation and harmful algal blooms substantially reduce the use and enjoyment of lake ecosystem services in Elk/Beaver Lake, with the community expressing strong preferences for protecting and restoring non-use ecosystem services (e.g., biodiversity, lake aesthetics) and recreational ecosystem services; and 4) willingness to pay for lake restoration was high—collectively estimated at $27–$55 million per year—exceeding projected restoration costs in Elk/Beaver Lake and contributing to growing evidence of substantial societal benefits of lake restoration. Working with end-users and community members in both case studies provided insights into the impact of water quality degradation on key ecosystem services and enhanced the relevance of outcomes. By integrating ecological and human dimensions of water quality, this thesis offers valuable guidance on how to anticipate, manage, and respond to worsening water quality under future environmental change. Although the case studies differ in geography and emphasis, both illustrate how climate change and human activity threaten multiple lake ecosystem services, emphasizing the need for integrated, interdisciplinary, and transdisciplinary research to bridge the gap between knowledge and action on eutrophication and its impacts. The costs of managing and adapting to the impacts of eutrophication are high, but the costs of inaction may be greater. Protecting lake ecosystem services in the future will require collaborative, problem-driven, and action-oriented approaches that balance understanding the environmental, social, and economic dimensions with identifying strategies for achieving desired outcomes for lake ecosystems. As climate variability and anthropogenic pressures on lake ecosystem services intensify, collaborative efforts to protect and restore them will become increasingly critical.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.206
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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