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Record W2347097112 · doi:10.3354/meps11466

Facilitation effects of invasive and farmed bivalves on native populations of the sea slug Pleurobranchaea maculata

2015· article· en· W2347097112 on OpenAlexaboutno aff
David I. Taylor, SA Wood, Paul McNabb, Shaun Ogilvie, Chris Cornelisen, J. W. Walker, Serena Khor, S. Craig Cary

Bibliographic record

VenueMarine Ecology Progress Series · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsBayInvasive speciesFisheryBiologyTrophic levelIntroduced speciesEcologyHabitatGeographyArchaeology

Abstract

fetched live from OpenAlex

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 537:39-48 (2015) - DOI: https://doi.org/10.3354/meps11466 Facilitation effects of invasive and farmed bivalves on native populations of the sea slug Pleurobranchaea maculata David I. Taylor1,*, Susanna A. Wood1,2, Paul McNabb1, Shaun Ogilvie1, Chris Cornelisen1, Jarrod Walker3, Serena Khor2, Stephen Craig Cary2 1Cawthron Institute, 98 Halifax Street, 7010 Nelson, New Zealand 2University of Waikato, Private Bag 3105, 3240 Hamilton, New Zealand 3Auckland Council, Private Bag 92300, 1142 Auckland, New Zealand *Corresponding author: david.taylor@cawthron.org.nz ABSTRACT: Invasive and native bivalves can facilitate higher trophic levels through habitat provision and food subsidies. In New Zealand, interest in the predatory sea slug Pleurobranchaea maculata increased when 10 dogs died after contact with beach-cast slugs on Narrow Neck Beach (Hauraki Gulf, Auckland) in August 2009. Investigations identified large populations of native P. maculata containing the deadly neurotoxin tetrodotoxin on nearshore beds of the invasive mussel Arcuatula (Musculista) senhousia. Subsequent studies revealed extensive populations of P. maculata beneath native Perna canaliculus mussel farms in Tasman Bay (Nelson, New Zealand). This study investigated whether P. maculata benefit from the trophic subsidy and/or habitat complexity provided by introduced and farmed mussels. Isotopic analysis suggested that P. maculata from Hauraki Gulf and Tasman Bay were most likely feeding on filter-feeding bivalves. Analysis of stomach contents using real-time PCR confirmed A. senhousia as a dietary source for P. maculata at one Hauraki Gulf site, and Perna canaliculus and Mytilus edulis (blue mussel) as dietary sources at Tasman Bay. Artificial habitat experiments in the Hauraki Gulf were confounded by a die-back of A. senhousia beds, but in their absence, P. maculata also disappeared. In Tasman Bay, P. maculata laid eggs on artificial mussel shell treatments beneath mussel farms, but no recruitment was recorded. Subsequent recruitment (ca. 2.7 P. maculata recruits per linear metre) was observed on overlying suspended mussel lines. Spatial and temporal changes in the availability of the food subsidy and habitat provided by native and invasive bivalves clearly have facilitative effects on P. maculata populations. KEY WORDS: Facilitation · Invasive species · Bivalve · Ecosystem engineering · Pleurobranchaea maculata · Arcuatula senhousia Full text in pdf format PreviousNextCite this article as: Taylor DI, Wood SA, McNabb P, Ogilvie S and others (2015) Facilitation effects of invasive and farmed bivalves on native populations of the sea slug Pleurobranchaea maculata. Mar Ecol Prog Ser 537:39-48. https://doi.org/10.3354/meps11466 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 537. Online publication date: October 14, 2015 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2015 Inter-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)0.001
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 score0.011
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.263
Teacher spread0.232 · 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

Citations17
Published2015
Admission routes1
Has abstractyes

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