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Record W2092371172 · doi:10.1080/146349801317276099

Science for freshwater fish habitat management in Canada: Current status and future prospects

2001· article· en· W2092371172 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsHabitatEcologyEnvironmental resource managementBiodiversityFreshwater ecosystemEcosystemFisheryEnvironmental scienceGeographyBiology

Abstract

fetched live from OpenAlex

Abstract Canada's diverse freshwaters support a rich biodiversity of more than 200 species. Canada has strong legislation capable of conserving and protecting freshwaters habitats. Fish are a key driver and indicator for restoration and conservation efforts. Many of Canada's freshwater species in Canada are thought to be at risk. Apart species such as brook trout, lake trout, walleye, and yellow perch, the ecology and habitat requirements of most freshwater species are poorly known. Studies have mainly been descriptive and comparative but experimental, ecosystem-scale integration, and modelling activities are increasing. While science related to fish and their habitats is growing, little is focused on the links between the production and dynamics of fish populations and communities, and the supply and distribution of habitats at various scales. Habitat management is still mainly reactive, assessing development at the site-level with considerable uncertainty about the mitigation and compensation actions approved to offset habitat losses and modifications. Communication between science and management is improving. Canada has invested much energy on cumulative impact assessment but effective methods for tracking cumulative change and the interaction of multiple stresses have not emerged. Nonetheless there is a broad consensus on the need to take an ecosystem-based approach to sustainable use of Canada's natural renewable resources, including freshwaters and their fish. Management needs to shift to a more proactive approach supported by better deployment of available science and scientific methods. Science should emphasize quantitative whole ecosystem studies of fish and habitat especially the development of models and experimental manipulations. If current trends of fish habitat loss are maintained in Canada, further declines in the quality and diversity of freshwater fish resources are certain despite our apparent natural wealth. Modest investments in securing the future of its freshwater fishery resources based on scientific advice may yet begin movement toward an ecologically sustainable future.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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