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Record W2259327695

Red pine (Pinus resinosa Ait) Dynamics under Changing Climate in Northern Ontario, Canada

2015· dissertation· en· W2259327695 on OpenAlexaboutno aff
Muhammad Waseem Ashiq

Bibliographic record

VenueThe Atrium (University of Guelph) · 2015
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsRed pinePinus <genus>ForestryGeographyEnvironmental scienceBotanyBiology
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an investigation of climate effects on radial growth of red pine (Pinus resinosa Ait) in northern Ontario over multiple spatio-temporal scales. In the context of climate change, these investigations provide insight about species survival, growth and range shift potential. In this thesis I investigate these three aspects of red pine dynamics using tree-ring width (TRW) data from 54 sites across northern Ontario. I first identified leading edge populations (16 No.) of red pine using climate data in hierarchical cluster analysis (HCA). I used various combinations of climatic variables as predictors in HCA, and evaluated their performance based on the compactness of formed clusters. These analyses reveal that leading edge populations of red pine in northern Ontario can be determined using three monthly climatic variables: mean minimum temperature (Tmin), mean maximum temperature (Tmax) and climate moisture index (CMI). I performed correlation and response function analyses to identify climatic controls on growth in these leading edge red pine populations. My results show that the effect of seasonal climate during prior summer was significant for growth in leading edge populations. Specifically, growth response was positive to prior summer precipitation (Prec) and negative to prior summer Tmax. This combined effect suggests the potential role of drought in controlling red pine northern range limit. My results question the validity of studies that predict large scale range shift potential of red pine under warming scenarios. My growth – climate analyses for the remaining red pine populations reveal a complex growth response of red pine in northern Ontario. In general, I observed four main results: (i) red pine populations in northwestern Ontario are more sensitive to climate than populations in northeastern Ontario, (ii) the growth-limiting effect of Prec is more significant than Tmax, (iii) growth – climate relationships follow a longitudinal gradient, and (iv) a shift in climatic controls of red pine temperature during first half of the 20th century to precipitation during recent decades. I also investigated age effects on red pine growth – climate relationships in an old-growth red pine forest at Wolf Lake Forest Reserve in northern Ontario. My analyses reveal that growth response to climate in young red pines is different from old red pines. Winter season Tmin positively influences growth in young red pine trees, whereas summer Prec (specifically July) positively influences growth in old red pine trees. I finally conclude that climate effects on red pine growth vary across space and time, and such variations must be considered in any decision-making process.

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 score0.019
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.201
Teacher spread0.188 · 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
Published2015
Admission routes1
Has abstractyes

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