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Setting the limit: cold rather than hot temperatures limit intertidal distribution of a coastal foundation species

2025· article· en· W4409259089 on OpenAlexaff
Kerstin Wasson, Kimberly Cressman, Kathryn M. Beheshti, Erin C. Herder, Charlie Endris, Christopher D. G. Harley, Alicia Abadía‐Cardoso, Rodrigo Beas‐Luna, Joachim Carolsfeld, Andrew L. Chang, Jeffrey A. Crooks, Matthew C. Ferner, Edwin D. Grosholz, Neil Harrington, Jacob A. Harris, Hilary A. Hayford, Alicia Helms, Julio Lorda, Jennifer L. Ruesink, Amaia Ruiz de Alegría‐Arzaburu, Steven S. Rumrill, Jenni Schmitt, Rachel S. Smith, Janet B. Walker, Christine R. Whitcraft, Sylvia Yang, Danielle C. Zacherl, Chela J. Zabin

Bibliographic record

VenueMarine Environmental Research · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsFisheries and Oceans Canada
FundersOffice for Coastal ManagementNature Conservancy
KeywordsIntertidal zoneFoundation (evidence)Limit (mathematics)Environmental scienceOceanographyDistribution (mathematics)EcologyFoundation speciesAtmospheric sciencesBiologyGeographyPhysicsGeologyMathematicsHabitat

Abstract

fetched live from OpenAlex

Long-lasting restoration success of foundation species requires understanding their responses to climate change. For species with broad distributions, lower latitudes may serve as a proxy for future warming at higher latitudes. Such space-for-time substitutions are a powerful tool for developing climate change predictions for species distributed along steep elevational gradients. To understand climate resilience of a key coastal foundation species, we examined the upper elevational limit of the native Olympia oyster ( Ostrea lurida ) along its entire range at 26 sites spanning 21° latitude, from British Columbia to Baja California. Counter to our expectations, high air temperatures did not affect variation in the upper limit of Olympia oysters. Indeed, Olympia oysters extended high into the intertidal zone at the warmer southern sites, and shading did not influence the upper limit. Our models indicated instead that extreme low temperatures set the upper limit for Olympia oysters at higher latitudes. In contrast, neither the Pacific oyster ( Magallana gigas ), a co-occurring global invader, nor barnacles exhibited clear latitudinal patterns. These findings suggest that Olympia oysters and restoration projects aimed at supporting their recovery will be resilient to increased temperatures projected by climate change models. Our results also illustrate the importance of testing the assumption that species on steep elevational gradients are living close to their upper thermal limits and will be negatively impacted by warming; for this foundation species, the assumption was false. Latitudinal studies enhance understanding of species response to climate stressors and are key to the design of climate-resilient conservation strategies. • Heat sets upper elevation limits for many intertidal species, but not Olympia oysters. • At high latitudes, cold temperatures limit Olympia oysters to the low intertidal zone. • Olympia oysters' elevational distribution may expand at high latitudes with warming. • This coastal foundation species will likely be fairly resilient to climate change. • Latitudinal studies can test assumptions about impacts of predicted warming.

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)0.001
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 score0.142
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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
Published2025
Admission routes1
Has abstractyes

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