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Record W2191609435 · doi:10.1111/conl.12217

Managing Marine Biodiversity: The Rising Diversity and Prevalence of Marine Conservation Translocations

2015· article· en· W2191609435 on OpenAlex
Kelly D. Swan, Jana McPherson, Philip J. Seddon, Axel Moehrenschlager

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.

Bibliographic record

VenueConservation Letters · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsSimon Fraser University
FundersWorld Bank Group
KeywordsIUCN Red ListThreatened speciesBiodiversityMarine ecosystemMarine conservationMarine protected areaMarine reserveEcosystemEnvironmental resource managementEcologyBiologyEnvironmental planningGeographyEnvironmental scienceHabitat

Abstract

fetched live from OpenAlex

Translocations, the human-mediated movement and free-release of living organisms, are increasingly used as conservation tools in imperiled terrestrial ecosystems. Marine ecosystems, too, are increasingly threatened, and marine restoration efforts are escalating. But the methods and motivations for marine restoration are varied, so the extent to which they involve conservation-motivated translocations is unclear. Because translocations involve considerable risks, building on previous experience to establish and implement best practice guidelines for policy application is imperative. We conducted a global literature review to determine what marine conservation translocation experience exists. Our review indicates marine conservation translocations are widespread and increasingly common. Reinforcements and reintroductions predominate, but precedent for assisted colonizations and ecological replacements also exists. In 39 years, 487 translocation projects were conducted to conserve over 242 marine species or their ecosystems. Most projects involved coastal invertebrates (44%) or plants (30%). Few species were of conservation concern according to the IUCN Red List, likely reflecting the leading objective for most (60%) marine conservation translocations, which was ecosystem rather than species recovery. With currently no standard metrics for evaluating translocation success or ecosystem function, we recommend future projects follow the relevant IUCN guidelines and identify specific targets to measure the efficacy of translocations.

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)0.000
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 score0.053
Threshold uncertainty score0.998

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 science0.0000.001
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 head0.033
GPT teacher head0.203
Teacher spread0.170 · 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