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Record W2974767932

THE INTERACTIONS OF JACK PINE TREES (PINUS BANKSIANA) AND WATER

2019· dissertation· en· W2974767932 on OpenAlexaboutno aff
Ivanna Lee Hamilton

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsnot available
Fundersnot available
KeywordsJack pinePinus <genus>ForestryEnvironmental scienceBotanyGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

This research was conducted in a native jack pine stand within Narrow Hills Provincial Park, Saskatchewan, Canada. The goals of this research were to 1) compare jack pine sap flow with environmental parameters (volumetric water content of the soil [VWC], net radiation, air humidity, air temperature, and wind speed) and internal water storage in the tree under pre-augmented (normal) conditions and augmented (drought) conditions, and 2) demonstrate that at a sandy site under drought conditions jack pine trees facilitate hydraulic redistribution of soil water. \n\nNet radiation, air humidity, and VWC were the primary drivers of sap flow within jack pine trees in this study. Net radiation was the primary driver of sap flow throughout the day. Air humidity was important for inducing sap flow. The VWC was influential on the volume of water being transported up the tree to support transpiration. Sap flow was found to have hysteretic relationships with all environmental parameters except VWC. Throughout the diurnal cycle, sap flow and the tree trunk circumference have a divergent and hysteretic relationship. The daily amplitude of the change in tree trunk circumference was primarily controlled by sap flow, however the overall circumference of the tree trunk was controlled by the VWC and internal water storage. Jack pine trees only exhibited tree growth under normal conditions on days where sap did not flow. Jack pine tree trunk circumference contracted under drought conditions as the tree used internal water storage to supply evapotranspiration.\n\nThe movement of an isotopically labelled solution was used to demonstrate that at a sandy site under drought conditions, jack pine trees facilitate hydraulic redistribution. After injecting the isotopically labelled solution to a depth of 100 cm below the soil surface, soil water collected from 0 cm – 20 cm and 80 cm – 120 cm had statistically significantly higher δ2H values compared to baseline δ2H values. At the same time, the δ2H values of soil water collected from 20 cm – 80 cm were statistically not different compared to baseline δ2H values. The presence of the isotopically labelled solution at 0 cm – 20 cm and 80 cm – 120 cm, and absence of it between 20 cm – 80 cm, indicated jack pine trees facilitated hydraulic redistribution using their taproot and lateral roots.

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 score0.698
Threshold uncertainty score0.601

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 studies0.0010.000
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 head0.003
GPT teacher head0.155
Teacher spread0.152 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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