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Record W1979165653 · doi:10.5268/iw-5.1.779

Is there a role for freshwater protected areas in the conservation of migratory fish?

2015· article· en· W1979165653 on OpenAlexafffund
Shannon D. Bower, Robert J. Lennox, Steven J. Cooke

Bibliographic record

VenueInland Waters · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsWorld Wildlife Fund
KeywordsHabitatContext (archaeology)Freshwater fishFish migrationEcologyAquatic ecosystemHydropowerEcosystemFish stockFreshwater ecosystemFisheryFish <Actinopterygii>GeographyEnvironmental resource managementBiologyEnvironmental science

Abstract

fetched live from OpenAlex

Migratory fish have been declining in number as a result of numerous processes including hydropower development, pollution, invasive species, and climate change. Migratory fish are important ecosystem components, and yet there are many gaps in our knowledge of migratory fish life history and their relationship with hydrological processes. Consequently, few mechanisms are available to promote their conservation. An emergent tool is the Freshwater Protected Area (FPA), a zone of restricted use and access within freshwater systems analogous to terrestrial or marine protected areas that aim to conserve constituent resources. These protected areas are often criticized for their inability to control pollution inputs and their tendency to be implemented only as components of terrestrial parks, meaning that they tradi-tionally do not reflect the importance of aquatic systems or promote connectivity. This paper reassesses FPAs in the context of migratory fish conservation and addresses a variety of obstacles inhibiting FPAs from being suitable for protecting migratory fishes. Developing FPAs that encompass critical life-stage habitat for migratory species, such as spawning and nursery areas, migratory corridors, and feeding zones, is essential for ensuring ample interconnected habitat for migratory fishes to thrive and ecological and evolutionary processes to occur.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.104

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.218
Teacher spread0.198 · 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 designObservational
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

Citations31
Published2015
Admission routes2
Has abstractyes

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