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Record W4394105507 · doi:10.6084/m9.figshare.1133880

Data from "Millennial disturbance-driven forest stand dynamics in the Eastern Canadian taiga reconstructed from subfossil logs"

2014· dataset· en· W4394105507 on OpenAlexaboutno aff
Fabio Gennaretti, Dominique Arseneault, Yves Bégin

Bibliographic record

VenueFigshare · 2014
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubfossilTaigaDisturbance (geology)Forest dynamicsPine forestForestryBorealPhysical geographyEnvironmental scienceEcologyDynamics (music)GeographyArchaeologyGeologyPaleontologyHolocenePsychologyBiology

Abstract

fetched live from OpenAlex

These two datasets in the format tab-delimited text file (Plots.txt and Sobfossil_logs.txt) contain the data used in the article "Millennial disturbance-driven forest stand dynamics in the Eastern Canadian taiga reconstructed from subfossil logs", published in Journal of Ecology. Each row in Plots.txt contains data on a sampling plot (10 x 10 m) used to characterize the structure and composition of the present-day lakeshore forest at the site L18 or the site L20. Column headings are described below: Plot = Plot ID Lake = Lake ID LivingSpruces = Number of living spruces in the plot (No.) LivingFirs = Number of living firs in the plot (No.) LivingFirs2 = Number of living firs ≥ 2 cm DBH in the plot (No.) LivingFirsReg = Number of living firs among saplings and seedlings in the plot (No.) LivingTamaracks = Number of living tamaracks in the plot (No.) LivingTamaracks2 = Number of living tamaracks ≥ 2 cm DBH in the plot (No.) LivingTamaracksReg = Number of living tamaracks among saplings and seedlings in the plot (No.) Snags = Number of snags in the plot (No.) Stumps = Number of stumps in the plot (No.) Ncwd = Number of coarse woody debris pieces in the plot (No.) Nliv = Number of living trees in the plot (No.) Nreg = Number of saplings and seedlings in the plot (No.) Nliv2 = Number of living trees ≥ 2 cm DBH in the plot (No.) Nliv6 = Number of living trees ≥ 6 cm DBH in the plot (No.) Nliv12 = Number of living trees ≥ 12 cm DBH in the plot (No.) Age = Time since the last stand-replacing fire in the plot (i.e. maximum number of tree-rings per cored tree after applying a correction for coring height) (years) BAliv = Basal area of living trees ≥ 2 cm DBH in the plot (m2 plot-1) MeanBAliv = Average basal area per living tree ≥ 2 cm DBH in the plot (m2 plot-1) BAsnags = Basal area of snags in the plot (m2 plot-1) BAstumps = Basal area of stumps in the plot (m2 plot-1) Each row in Sobfossil_logs.txt contains data on a subfossil log sampled in the littoral zone facing the selected lakeshore segments at L18 or L20. Column headings are described below: ID = Subfossil log ID Start = Year of the first measured ring (AD year) End = Year of the last measured ring (AD year) Length = Segment length (years) Plot = Nearest lakeshore plot Cluster = Cluster of the nearest lakeshore plot Pith = Presence of the pith (1 = pith well preserved; 0 = missing pith) First_ring = Year of the first ring in the cross-section (AD year) Last_ring = Year of the last ring in the cross-section (AD year) Fire = Fire evidence (Charred_branch_tips or Charred_trunk) Species = Species of the subfossil logs (Spruce or Fir) Pith_offset = Pith offset (years) Subsequent columns = Ring widths according to cambial ages (1/100 mm) Further details can be found in the published article.

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)0.000
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.022
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.011
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.005

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 head0.057
GPT teacher head0.221
Teacher spread0.164 · 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
GenreDataset

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
Published2014
Admission routes1
Has abstractyes

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