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Marine Communities

2015· other· en· W4232108143 on OpenAlexaff
Paul V. R. Snelgrove

Bibliographic record

VenueEncyclopedia of Life Sciences · 2015
Typeother
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIntertidal zoneHabitatSalt marshMangroveMarine habitatsEcologyCoral reefSeagrassMarshIntertidal ecologyRocky shoreFoundation speciesTide poolOceanographyGeographyEnvironmental scienceWetlandBiologyGeology

Abstract

fetched live from OpenAlex

Abstract Marine communities are collections of organisms within an area of the ocean that interact with one another more than with other such collections. These organisms may span from microbes to seaweeds to large animals, but their composition changes drastically with habitat. Intertidal environments along the shoreline support low diversity but often high abundances of organisms adapted to highly variable environmental conditions. In contrast, the deep ocean, which is devoid of sunlight and where temperature and salt content vary little, supports low abundances of a high diversity of life. Sediments cover much of the seabed, creating the largest habitat on Earth in area, whereas the thousands of metres of water above the bottom create the largest habitat by volume. Coral reefs, which occur only in shallow tropical waters, support the most species dense habitat in the ocean and possibly on the planet. Highly productive transition zones between land and sea such as salt marshes, mangroves and seagrasses often provide nursery areas for adjacent coastal species. Nonetheless, many coastal habitats face multiple pressures from human activities and already show rapid change. Key Concepts Marine communities differ among habitats spanning from low‐diversity intertidal communities adapted to highly variable environments to species‐rich deep‐sea communities that live in far less dynamic environments. Intertidal communities are the best‐studied marine community because of their ease of access and relative simplicity. Estuarine habitats, where freshwater and seawater mix, often support high productivity and complex habitats such as mangroves and salt marshes that are important nurseries for a community of juvenile fishes and invertebrates. Coral reefs are highly diverse and productive habitats but human activities threaten reef communities in many parts of the world where coral reefs are in sharp decline. Scientists have sampled only a tiny fraction of the deep ocean and the potential for new discoveries of species and processes remains very high.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.152
Threshold uncertainty score0.509

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1520.055

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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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