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The role of temperature and desiccation stress in limiting the local‐scale distribution of the owl limpet, <i>Lottia gigantea</i>

2009· article· en· W2050433765 on OpenAlexaff
Luke P. Miller, Christopher D. G. Harley, Mark W. Denny

Bibliographic record

VenueFunctional Ecology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsUniversity of British Columbia
FundersJohns Hopkins UniversityGordon and Betty Moore FoundationNational Science Foundation
KeywordsLimpetIntertidal zoneBiologyRocky shoreGiganteaDesiccationAbiotic componentEcologyBotany

Abstract

fetched live from OpenAlex

Summary Small‐scale distributions of rocky intertidal organisms may be determined in part by temperature and desiccation stress during low tide and the ability of organisms to resist such stresses. Biophysical modelling techniques, coupled with data on the physiological tolerance of organisms can be used to predict the frequency and severity of abiotic stress events. The limpet Lottia gigantea is a major competitor for primary space on rocky shores along the west coast of North America. The goal of this study was to quantify the thermal and desiccation tolerance of this species and to predict the frequency of stressful events at Hopkins Marine Station (HMS) in Pacific Grove, CA, USA. Lottia gigantea were exposed to thermal stress regimes in the laboratory using protocols designed to mimic prolonged exposures in the field. The production of heat shock protein 70 (Hsp70) was measured as an indicator of sub‐lethal stress, and mortality rates were measured. Peak expression of Hsp70 occurred during exposures at 32 °C, while the lethal limits of the limpets ranged between 30 and 42 °C, depending on the exposure regime. Lethal temperatures were approximately 5 °C lower in 50–60% relative humidity conditions compared to 100% relative humidity trials. Results from the physiology experiments were compared to field surveys of the upper limits of L. gigantea at HMS and with heat‐budget model predictions of limpet body temperatures on a variety of substratum orientations. The highest frequency of sub‐lethal and lethal stress events was predicted to occur on high‐shore westerly and southerly slopes and horizontal surfaces, microhabitats where L. gigantea is comparatively rare at HMS. Predicted stress and mortality events were rare at low‐shore sites, vertical surfaces, and sloping rock faces oriented towards the northeast and northwest. The combination of direct measurements of sub‐lethal and lethal temperature thresholds using realistic stress exposures and predictions from a heat‐budget model give insight into the role of thermal disturbance in affecting the local‐scale distributions of intertidal organisms. These methods hold great promise for enhancing our understanding of the role of abiotic factors in limiting species distributions and making predictions about responses to future climatic conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.136

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 science0.0000.000
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 head0.004
GPT teacher head0.171
Teacher spread0.167 · 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

Citations150
Published2009
Admission routes1
Has abstractyes

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