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Supplementary material from "Reciprocal abundance shifts of the intertidal sea stars, <i>Evasterias troschelii</i> and <i>Pisaster ochraceus</i>, following sea star wasting disease"

2019· article· en· W3108909177 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsnot available
Fundersnot available
KeywordsIntertidal zoneWastingAbundance (ecology)OceanographyStarsFisheryBiologyEcologyGeologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

Disease emergence occurs within the context of ecological communities, and disease driven declines in host populations can lead to complex direct and indirect ecological effects. Varying effects of a single disease among multiple susceptible hosts could benefit relatively resistant species. Beginning in 2013, an outbreak of sea star wasting disease (SSWD) led to population declines of many sea star species along the west coast of North America. Through field surveys and laboratory experiments, we investigated how and why the relative abundances of two co-occurring sea star species, <i>Evasterias troschelii</i> and <i>Pisaster ochraceus</i>, shifted during the ongoing wasting epidemic in Burrard Inlet, British Columbia, Canada. We hypothesized that <i>Evasterias</i> is competitively inferior to <i>Pisaster</i> but more resistant to SSWD. Thus, we predicted that SSWD-induced declines of <i>Pisaster</i> could mitigate the negative effects of SSWD on <i>Evasterias</i>, as the latter would experience competitive release. We document shifts in sea star abundance from 2008–2017: <i>Pisaster</i> abundance and mean size declined during the outbreak, while <i>Evasterias</i> abundance increased from relatively rare to numerically dominant within the intertidal. When exposed to symptomatic sea stars, <i>Pisaster</i> and <i>Evasterias</i> both showed signs of SSWD, but transmission and susceptibility was lower in <i>Evasterias.</i> Despite diet overlap documented in our field surveys, <i>Evasterias</i> was not outcompeted by <i>Pisaster</i> in laboratory trails conducted with the relatively small <i>Pisaster</i> available after the outbreak. Interference competition with larger <i>Pisaster</i>, or prey exploitation by <i>Pisaster</i> during the summer when <i>Evasterias</i> is primarily subtidal, may explain the rarity of <i>Evasterias</i> prior to <i>Pisaster</i> declines. Our results suggest that indirect effects mediated by competition can mask some of the direct effects of disease outbreaks, and the combination of direct and indirect effects will determine the restructuring of a community after disturbance.

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 categoriesInsufficient 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 score0.211
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0520.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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