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Record W4409979079 · doi:10.1016/j.biocon.2025.111186

Merging coastal archaeology and conservation paleobiology to evaluate shellfish resilience to Indigenous harvest over the past 3000 years

2025· article· en· W4409979079 on OpenAlexafffundabout
Kristina M. Barclay, Julia K. Baum, Denis St. Claire, Iain McKechnie

Bibliographic record

VenueBiological Conservation · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsBamfield Marine Sciences CentreAssembly of First NationsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaHakai InstituteCo-operative Education and Work-Integrated Learning CanadaUniversity of Victoria
KeywordsResilience (materials science)IndigenousPaleobiologyGeographyShellfishArchaeologyConservationEcologyFisheryBiologyFish <Actinopterygii>PaleontologyAquatic animalEnvironmental planning

Abstract

fetched live from OpenAlex

Globally, shellfisheries are increasingly important for food, nutrition, and livelihoods. However, sustainable management of these fisheries is threatened by human activities, including climate change, overexploitation, and disruptions to natural ecosystems. Indigenous archaeological records of shellfish are ubiquitous but underutilized data sources that could expand and inform current management practices by extending or providing missing baselines for how species populations and ecosystem interactions may have changed over time. Here, we merge palaeobiological and archaeological methodologies to evaluate relative abundances of crabs and their clam prey over the past 3000 years on western Vancouver Island in the Northeast Pacific. We examine archaeological and recent shells of butter ( Saxidomus gigantea ) and littleneck clams ( Leukoma staminea ) from three locations in the Broken Group Islands, (Barkley Sound, Vancouver Island, BC, Canada) and quantify relative crab relative abundance through time by examining predation traces on clam shells. Our results indicate crab and clam population resilience despite substantial localized human harvesting pressures over approximately 3000 years, with clams increasing in abundance over time despite sustained intensive harvest. In contrast to studies in other regions of the eastern Pacific that observed recent decreases in modern crab abundances, evidence from the Broken Group Islands suggests crab populations remain stable over 3000 years, with slight but non-significant increases since the 19th century. These results are consistent with the well-established, long-term relationships Indigenous people had with shellfish resources and underscore the importance of including archaeological and paleobiological data/approaches in current conservation efforts to understand human impacts on coastal resources and ecosystems. • Relative crab population changes can be estimated using repair scars on clam valves. • We observe evidence of stable crab and clam populations over 3000 years. • Crab abundance today appears related to diminished human activities in area.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.277
Threshold uncertainty score0.551

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
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 head0.029
GPT teacher head0.274
Teacher spread0.246 · 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
Published2025
Admission routes3
Has abstractyes

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