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Height growth response of tree line black spruce to recent climate warming across the forest‐tundra of eastern Canada

2004· article· en· W2136754575 on OpenAlexafffundabout
Isabelle Gamache, Serge Payette

Bibliographic record

VenueJournal of Ecology · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsUniversité LavalCenter for Northern StudiesNatural Sciences and Engineering Research Council of Canada
FundersNatural Sciences and Engineering Research Council of CanadaAssociation of Canadian Universities for Northern Studies
KeywordsSubarctic climateTundraTree lineBlack spruceTaigaVegetation (pathology)Climate changeEcologyEnvironmental sciencePhysical geographyGeographyBiologyEcosystem

Abstract

fetched live from OpenAlex

Summary The northward expansion of the boreal forest vegetation zone is generally predicted under a warmer doubled CO2, but the delay associated with vegetation development processes often has been overlooked. In the subarctic forest‐tundra of northern Québec, reforestation of tundra uplands appears currently limited by the poor reproductive capacity of shrubby black spruce (Picea mariana), and the development of erect stems through accelerated height growth should be the first registered response to 20th century climate warming. The subarctic forest‐tundra is characterized by small‐ and large‐scale heterogeneity in topography, vegetation structure and climate. This spatial heterogeneity, added to the complexity of tree growth–climate relationships, can cause various growth responses of subarctic tree line black spruce to 20th century climate change. Twenty spruce populations at subarctic tree lines and seven isolated clones at the species limit were sampled along a > 300‐km latitudinal transect from the southern forest‐tundra to the shrub tundra. Height growth patterns of black spruce at tree line and above tree line were examined (i) over their life span, using dendrochronological dating of stem cross‐sections, and (ii) for the recent decades, using leader shoot elongation measurements. Indexed elongation chronologies were compared with regional climate data. Height growth of tree line trees generally decreased with increasing latitude. However, tree line trees in the northern forest‐tundra have experienced an acceleration of height growth since the 1970s, with their growth comparable to that of trees in the southern forest‐tundra. Height growth response of spruce trees appeared increasingly delayed from the northern forest‐tundra to the species limit. Above the subarctic tree line, wind‐exposed conditions obscured the decrease in height growth with latitude observed for tree line trees. Leader shoot elongation of spruce trees established on tundra hilltops appeared more controlled by summer heat sums than those at tree line all over the forest‐tundra, except at the arctic tree line. Winter precipitation also was linked to leader shoot elongation in some forest‐tundra sites. The increasing snow cover associated with recent warming appeared to have reduced the shoot elongation of spruce at forest margins showing the steepest slopes, hence subjected to snow overloading. In the northern forest‐tundra sites, the recent increase in height growth and positive trend in leader shoot elongation, consistent with a 1990s’ increase in heat sums, point to the development of spruce krummholz into erect growth forms. In the southern forest‐tundra, reforestation of tundra hilltops and northward expansion of the boreal forest predicted under doubled CO2 conditions could be delayed, as suggested by suppressed height growth of spruce above tree line.

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)0.000
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 score0.103
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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

Citations156
Published2004
Admission routes3
Has abstractyes

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