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Record W7055916438

Determining the extent to which weather-related abiotic factors influence daily variation in early benthic phase mortality of intertidal marine invertebrates

2013· article· en· W7055916438 on OpenAlexfundno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersThompson Rivers University
KeywordsBenthic zoneEctothermAbiotic componentDesiccationProductivityHabitat
DOInot available

Abstract

fetched live from OpenAlex

Populations of marine intertidal invertebrates vary substantially in abundance from year to year. These differences might be partly due to cohorts experiencing 60 – 99% mortality during the first few days after the transition from pelagic to benthic environments. However, the causes of this mortality, including the role of weather conditions experienced during low tide, are not well understood. This study aimed to improve our understanding of the influence of low tide environmental stress on survival through the early benthic phase by (1) determining the influence of temperature and desiccation stress on mortality of newly settled mussels and the ontogeny of sensitivity to these stresses through the early benthic phase; (2) examining the mortality of barnacle cyprids from settlement to metamorphosis and mortality of early juveniles up to the age of 10 days after metamorphosis; and (3) documenting the frequency of occurrence of lethal conditions occurring in the field at low tide during the recruitment season.\nLaboratory experiments revealed that newly settled Mytilus trossulus of 1-2 mm shell length experienced a temperature tolerance threshold at 34°C and a desiccation tolerance threshold at a vapour pressure deficit level of 1.01 kPa. Mussels became highly tolerant to desiccation stress when they reached a size of 3 mm shell length, suggesting a size threshold of desiccation tolerance between 2-3 mm shell length. This size closely corresponds to the size at which some studies have reported juvenile M. trossulus relocate from protective filamentous algal habitat to adult habitat, suggesting ontogenetic shifts in habitat use by juvenile M. trossulus may be a response to changing vulnerability to desiccation stress.\nA field survey of Balanus glandula recruitment revealed that cyprid and juvenile mortality varied greatly among daily cohorts and was significantly higher under Fucus spp. cover than on bare surfaces. Contrary to expectations, cyprid mortality was not significantly influenced by weather-related abiotic conditions. This was likely due to the study being conducted during a La Niña cycle that may have had lower temperature and desiccation stress than is typical for Barkley Sound.\nIntertidal temperatures above the threshold tolerance levels for newly settled mussels were uncommon during the recruitment season, suggesting that temperature stress is not likely an important factor influencing early benthic phase mortality of mussels. The desiccation stress threshold level for newly settled mussels was frequently exceeded for several hours during the recruitment season, however, suggesting that desiccation stress may be an important factor influencing early benthic phase mortality in mussels that settle on open surfaces. In contrast, cyprid mortality on bare surfaces was not significantly influenced by desiccation stress or any other weather-related abiotic factors. I concluded that the survival of newly settled mussels likely depends upon the presence of protective microhabitats created by filamentous and fucoid algae, whereas barnacles experience reduced survival through the early benthic phase in the presence of fucoid algae. Changes in survival of these algae due to climate change could therefore have extensive influence on mortality through the early benthic phase and may subsequently affect population and community structure.

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 score0.345
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.3450.000

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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
Published2013
Admission routes1
Has abstractyes

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