MétaCan
Menu
Back to cohort
Record W3165885996 · doi:10.1029/2020jg005873

Contrasting Growth Response of Jack Pine and Trembling Aspen to Climate Warming in Quebec Mixedwoods Forests of Eastern Canada Since the Early Twentieth Century

2021· article· en· W3165885996 on OpenAlexafffundabout
Emmanuel Amoah Boakye, Yves Bergeron, Martin P. Girardin, Igor Drobyshev

Bibliographic record

VenueJournal of Geophysical Research Biogeosciences · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsNatural Resources CanadaUniversité du Québec en Abitibi-TémiscamingueUniversité du Québec à MontréalCanadian Forest ServiceNatural Sciences and Engineering Research Council of Canada
FundersUniversité du Québec à Montréal
KeywordsTaigaDendrochronologyDendroclimatologyBorealClimate changeEnvironmental scienceCompetition (biology)ForestryForest dynamicsStand developmentEcologyGeographyBiology

Abstract

fetched live from OpenAlex

Abstract Forest monitoring studies show contrasting trends in tree growth rates since the mid‐twentieth century. However, due to their focus on annual and decadal dynamics, they provide limited insight into the effects of long‐term climatic variability on tree growth. Here, we relied on a large tree‐ring dataset (∼2,700 trees) of two common North American shade‐intolerant tree species, trembling aspen ( Populus tremuloides Michx.) and jack pine ( Pinus banksiana Lambert), to assess their lifespan‐long growth dynamics in the mixedwood forests of Québec. We also determined how the environmental conditions of the stands influenced tree growth. We observed a significant increase in the radial growth rate of trembling aspen during the study period, while the jack pine decline was not significant. Over the whole study region, the trees growing in sites with lower competition, and those at the lower sections of the terrain slope experienced more of the positive effects of temperature on growth rates. Our study suggests that the tree growth response to climate warming may be species‐specific and will vary across the boreal mixedwoods.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.041
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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

Citations9
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Geophysical Research BiogeosciencesSame topicTree-ring climate responsesFrench-language works237,207