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Record W3099542223 · doi:10.1101/443275

The importance of neutral over niche processes in structuring Ediacaran early animal communities

2018· preprint· en· W3099542223 on OpenAlexfundaboutno aff
Emily G. Mitchell, Simon Harris, Charlotte G. Kenchington, Philip Vixseboxse, Lucy Roberts, Catherine Clark, Alexandra Dennis, Alexander Liu, Philip R. Wilby

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersDepartment of Environment and Conservation, Government of Newfoundland and LabradorCambridge Philosophical SocietyNatural Environment Research CouncilSight Research UKNewnham College, University of CambridgeNatural England
KeywordsNicheStructuringEcosystemEcologyGeographyNeutral theory of molecular evolutionNiche constructionBiology

Abstract

fetched live from OpenAlex

Abstract The relative influence of niche versus neutral processes in ecosystem dynamics is a fundamental question in community ecology, but the extent to which they structured early animal communities is unknown. The oldest known metazoan-dominated paleocommunities occur in Ediacaran age (~565 million years old) strata in Newfoundland, Canada and Charnwood Forest, UK. These comprise large and diverse in-situ populations of sessile organisms that are amenable to spatial point process analyses, enabling inference of the most likely underlying niche or neutral processes governing their community structure. We conducted comprehensive spatial mapping of seven of the largest Ediacaran paleocommunities using LiDAR, photogrammetry and a laser-line probe. We find neutral processes to dominate these paleocommunities with limited influence of niche processes. Our results differ from the niche-dominated dynamics of modern marine ecosystems, revealing that the dynamics of environmental interactions prompted very different ecosystem structuring for these early animal communities.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.234
Teacher spread0.214 · 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 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
Published2018
Admission routes2
Has abstractyes

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