MétaCan
Menu
Back to cohort
Record W2126672055

Optimal risk-taking theory applied to marine conservation: harbour seals in Prince William Sound

2006· dissertation· en· W2126672055 on OpenAlexfundno aff
Alejandro Frid

Bibliographic record

VenueSummit (Simon Fraser University) · 2006
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersNorth Pacific Research BoardNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaSimon Fraser University
KeywordsPredationForagingBycatchTrophic cascadeOptimal foraging theoryPollockOverfishingFisheryEnergeticsMarine mammalEcologyResource (disambiguation)Trophic levelBiologyGeographyFishingPredator
DOInot available

Abstract

fetched live from OpenAlex

I sought theoretical insight on synergistic effects of resources and predators that are potentially relevant to the decline of harbour seals in Prince William Sound and to indirect effects of fisheries. Simulations predicted that compensatory foraging effort by seals will mitigate potential loss of energy reserves when resources decline, but only at the cost of higher predation rates, even if predator densities remain constant. A second study predicted net energy gain and predation risk per foraging dive, parameterising an analytical model with field data on seal behaviour, resource distributions, and use of depth by Pacific sleeper sharks and killer whales. Analyses suggested that risk of mortality from sharks and net energetic gain were greatest when seals foraged in deep strata, and empirical data showed individual variation in use of these strata. Plots of the individuals’ predicted energy gain against predicted predation risk fit best when relative danger from sharks was assumed to be much greater than that from killer whales. The first two studies combined suggest that, theoretically, overfishing of near-surface fatty fishes might increase shark predation rates on seals. A third model predicted an asymmetric trophic cascade in which indirect effects of sleeper sharks on resources were mediated by seal avoidance of riskier strata. Risk management by seals is predicted to reduce mortality on the dangerous resource (deep pollock) while increasing mortality on the safer resource (shallow herring), and the bycatch of sharks altered this dynamic. Although empirical data are lacking to test most predictions and various assumptions, the three models derive from first principles of behavioural ecology and provide a rigorous basis for predicting indirect effects of fisheries. Further, overfishing of sharks and of resources used by marine mammals are pressing global problems which cannot be addressed by empirical studies alone; indirect interactions between species are too complex to be elucidated without theoretical guidance and rapid exploitation often outpaces the acquisition of data relevant to conservation. Thus, theory presented here is important for assessing the potential damage wrought by different fishery scenarios, informing decisions that attempt to optimise exploitation and conservation, and guiding empirical research.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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.

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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicMarine animal studies overviewFrench-language works237,207