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Record W2225456185 · doi:10.1656/045.022.m1201

Spatiotemporal Variation in Biotic and Abiotic Features of Eight Intertidal Mudflats in the Upper Bay of Fundy, Canada

2015· article· en· W2225456185 on OpenAlexaffabout
Travis G. Gerwing, Alyssa M. Allen Gerwing, David Drolet, Myriam A. Barbeau, Diana J. Hamilton

Bibliographic record

VenueNortheastern Naturalist · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsMount Allison UniversityUniversity of New Brunswick
Fundersnot available
KeywordsBayAbiotic componentIntertidal zoneSpecies richnessInvertebrateEcologySedimentSiltBiotic componentEnvironmental scienceOceanographyCommunity structureBiologyGeology

Abstract

fetched live from OpenAlex

We examined biotic and abiotic variables on the expansive intertidal mudflats of the upper Bay of Fundy, Canada, at 8 geographically separate sites over 2 years (2009–2011). Invertebrate density, surface density of primary producers (mainly diatoms, measured as chlorophyll-a concentration), shorebird- and fish-foraging activity, and sediment properties varied considerably through time and space. Dissimilarity in the invertebrate community between consecutive sampling rounds was lower during peaks in density and richness (June–August) than during periods of low density and richness (December–March). All but one site located within Chignecto Bay (one arm of the upper Bay of Fundy) had similar invertebrate communities; sites within the Minas Basin (the other arm of the upper Bay) had more distinct communities compared to Chignecto Bay mudflats. The amphipod Corophium volutator, Copepoda, Ostracoda, and the polychaetes Phyllodocidae and Spionidae were usually main contributors to observed community differences over space and time. Although our sites are all silt-dominated mudflats, mean particle size, sediment penetrability, and depth to the apparent redox discontinuity potential (aRDP, a measure of sediment-oxygen content) were usually main contributors to site differences in sediment conditions. However, when we pooled samples over sites and sampling rounds, percent water content and percent organic-matter content accounted for the majority of the variation in sediment properties, likely reflecting within-site patchiness. Such quantification of spatiotemporal patterns in biotic and abiotic variables is an essential first step in the development of predictive models or the design of manipulative experiments to investigate ecological relationships.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.335

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)0.0000.000

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 head0.018
GPT teacher head0.230
Teacher spread0.213 · 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

Citations37
Published2015
Admission routes2
Has abstractyes

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