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Record W4251048073 · doi:10.24124/2017/54800

Disturbance history and its influence on drought tolerance of interior Douglas-fir (Pseudotsuga menziesii var. glauca (Beisn.) Franco) in the Cariboo-Chilcotin region of British Columbia, Canada

2017· dissertation· en· W4251048073 on OpenAlexfundaboutno aff
Neil Thompson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Northern British Columbia
KeywordsSpruce budwormDisturbance (geology)GeographyClimate changeEcologyDendrochronologyEcosystemDouglas firPrecipitationForestryBiologyLepidoptera genitaliaTortricidaeArchaeology

Abstract

fetched live from OpenAlex

Disturbance—the death of trees due to external forces such as wildfire or windstorms—drives forest stand dynamics and shapes ecosystems. Natural disturbances arising from the interaction of climate, topography, and established tree species have often occurred with some regularity, resulting in apparently perpetual renewal of particular forest structures. Minor changes in climate can have profound impacts on these disturbance regimes, breaking historically observed cycles and introducing novel stand conditions. Long-term historical baselines are critical to understanding such changes. Observational records are often inadequate, especially in western North America, where 400 year-old stands are common but reliable data are generally unavailable prior to the 20th century. I use tree ring analysis to investigate the history of Douglas-fir beetle and western spruce budworm infestations, and the influence of partial disturbances on the drought tolerance of surviving trees, developing baseline understanding of disturbance interactions in interior British Columbia. No evidence is found of any outbreaks of western spruce budworm or Douglas-fir beetle that exceed the magnitude of outbreaks in the early 21st century, suggesting that recent outbreaks represent historically high levels of insect activity. Both natural and anthropogenic partial disturbances are demonstrated to positively affect the drought tolerance of surviving trees in old-growth remnants and younger managed stands, respectively. Access by roots to areas with uninterrupted precipitation throughfall appears to be the driving force behind observed drought resistance, and will likely become more important under climate scenarios where droughts are prolonged and intensified by warmer temperatures. A major growth release ca. 1800 brought previously suppressed trees from a number of age classes into preeminence within their respective stands across the study area, forming the basis of the structure we now consider to be representative of old forests in the region. I propose that mountain pine beetle is the leading cause of this regionally synchronous growth release, based on the number of sites affected and the survival of sapling-sized Douglas-fir. Silvicultural prescriptions designed to provide open growing space to residual trees may help reverse overstocking resulting from wildfire exclusion and enhance resilience of stands within the timber harvesting area to increased temperatures.

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)0.001
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 score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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
Published2017
Admission routes2
Has abstractyes

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