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Record W4245875917 · doi:10.31230/osf.io/jm4et

Assessing population recovery inside British Columbia’s Rockfish Conservation Areas with a remotely operated vehicle

2018· preprint· en· W4245875917 on OpenAlexaffabout
Dana Haggarty, Jonathan B. Shurin, K. Lynne Yamanaka

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
Fundersnot available
KeywordsRockfishDemersal fishGroundfishFisheryFishingDemersal zonePopulationMarine reserveMarine protected areaHabitatGeographyTransectOverfishingEcologyFisheries managementBiologyFish <Actinopterygii>Demography

Abstract

fetched live from OpenAlex

Between 2004 and 2007, Fisheries and Oceans Canada undertook a management action to conserve overfished populations of Inshore Rockfishes by designating 164 Rockfish Conservation Areas (RCAs) closed to most recreational and commercial fishing. However, no research has yet assessed the effectiveness of the RCA network at promoting groundfish population recoveries. We surveyed the fish communities of 35 RCAs and adjacent unprotected areas in southern British Columbia using a remotely operated vehicle (ROV) between 2009 and 2011. We investigated the effect of protection and habitat on fish densities for six species or species groups (Quillback, Yelloweye, Greenstriped Rockfish, Kelp Greenling, Lingcod and all Inshore Rockfish combined) on transects inside and outside of RCAs. Habitat features such as percent rocky substrates and depth influenced fish density while reserve status did not. Next, we calculated habitat-based average densities and used the mean log response ratio (RR) of the density inside to outside of RCAs to determine if the amount of fishing outside the RCA, previous fishing history, the age, area or perimeter to area ratio influenced population recovery. Few positive reserve effects were apparent for any species/group. No clear patterns of RR with age were found for the RCAs, which ranged from 3 to 7 years old at the time of sampling (mean = 4.6). In addition, the intensity of fishing, size, and perimeter-to-area ratio failed to explain RR for most species. There were also no differences in size structure (length) of fish between RCAs and unprotected areas. The results give little indication that demersal fish populations have recovered inside the RCA system. Ongoing monitoring is essential to assess population recovery over time and evaluate the RCAs in terms of criteria such as habitat quality, habitat isolation and the level of compliance in order to enhance their effectiveness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.333
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.234
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes2
Has abstractyes

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