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Record W2574824619 · doi:10.1080/10402381.2016.1264513

Preliminary investigation of lake-use patterns in prairie lakes, stakeholder perceptions, and resulting management implications

2017· article· en· W2574824619 on OpenAlex
Lushani Nanayakkara, Björn Wissel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLake and Reservoir Management · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Environment - SaskatchewanUniversity of Regina
KeywordsOverfishingGeographyWildlifeFisheryFishingRecreationUrbanizationEcologyEnvironmental resource managementEnvironmental science

Abstract

fetched live from OpenAlex

Nanayakkara L, Wissel B. 2017. Preliminary investigation of lake-use patterns in prairie lakes, stakeholder perceptions, and resulting management implications. Lake Reserv Manage. 49:49–61.To better understand use and perception of lakes in the prairie region of North America, we distributed 200 lake-use and management surveys at 9 lakes in southern Saskatchewan, Canada, during 2013 and received 65 responses. Survey results indicate recreational uses such as angling, swimming, and boating were most common. Anglers targeted walleye ∼3 times more than other taxa such as northern pike (Esox lucius) and yellow perch (Perca flavescens), and consumption or catch-and-release was based on species and size. Overall, pollution of waterbodies (76% of responses) and overfishing (60% of responses) were stated as issues of highest concern in response to an open-ended question, but results varied among user groups. When asked to rank a set of issues potentially related to lake health, urbanization ranked above both agriculture and climate change. Only about half of respondents had a general understanding of eutrophication and food-web composition, and anglers were unconcerned about overfishing and had little concern for critical matters such as climate change and invasive species. These results indicate a possible decoupling between science and public perception about anthropogenic influences on lake ecosystems in southern Saskatchewan prairie lakes. Importantly, 60% of respondents stated an interest in lake management involvement. Monitoring and committee participation garnered the most interest. Based on our results, scientific findings and future threats to lakes need to be better communicated to the public to successfully adapt to and mitigate the effects of important issues. Ultimately, enhanced science communication with stakeholders may increase citizen science involvement in lake monitoring and management.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.037
GPT teacher head0.255
Teacher spread0.217 · 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