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Record W2147025109 · doi:10.1002/eco.30

Forest floor carbon dioxide fluxes within an upland‐peatland complex in the Western Boreal Plain, Canada

2008· article· en· W2147025109 on OpenAlexaffabout
Danielle S. Solondz, Richard M. Petrone, K. J. Devito

Bibliographic record

VenueEcohydrology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsUniversity of AlbertaWilfrid Laurier University
Fundersnot available
KeywordsPeatEnvironmental scienceSoil respirationBorealUnderstoryEcosystem respirationCanopyGrowing seasonTaigaHydrology (agriculture)Eddy covarianceVegetation (pathology)Riparian zoneForestryEcosystemSoil waterAgronomyEcologyGeographySoil scienceGeologyBiology

Abstract

fetched live from OpenAlex

Abstract This study examined the midday (10:00 to 16:00) growing season (April to October) surface cover CO 2 relationships with different canopy closures in a forested upland–peatland–pond complex in the Western Boreal Plain (WBP), north‐central Alberta, Canada. Large differences were observed among the forest floors of landscape units with different canopy covers with respect to midday total respiration [( R tot ) = vegetation respiration ( R veg ) + soil respiration ( R soil )] and gross ecosystem production (GEP), and the seasonal pattern of GEP and R tot . Highest rates of R tot followed the general progression of riparian > upland > open peatland > covered peatland, with high R soil contributions. Strong correlations were observed between C:N, soil temperature, moisture and R tot . Photosynthetic active radiation (PAR) controlled the GEP, which was highest in the open and covered peatland. GEP and R tot were highest in the middle of the growing season when soil and air temperatures were warmest; in addition R veg contributed more to R tot during this time. However, R soil dominated the flux. This study demonstrated that controlling environmental factors on CO 2 exchange cannot necessarily be extrapolated among land cover units within a sub‐humid region, such as Canada's WBP. In addition, forest floors of different land cover units, and microtopography should be taken into account when discussing understory contributions to CO 2 exchange. Copyright © 2008 John Wiley & Sons, Ltd.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.210
Teacher spread0.195 · 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

Citations18
Published2008
Admission routes2
Has abstractyes

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