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Record W7115812516

NEW INSIGHTS INTO THE CONTROLS ON HYDROCHEMICAL BEHAVIOUR AND ECOHYDROLOGICAL DYNAMICS IN A COLD ALPINE CATCHMENT, SOUTHERN YUKON

2020· dissertation· en· W7115812516 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2020
Typedissertation
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostPrecipitationSnowClimate changeDrainage basinHydrology (agriculture)Dissolved organic carbonSnowmeltSTREAMS
DOInot available

Abstract

fetched live from OpenAlex

Climate warming has been extensively documented over the last few decades, with northern environments experiencing greater increases in temperature than lower and mid-latitudes. Impacts of climate warming include: an increase in the rain to snow ratio, changes in precipitation magnitude and timing, increased soil warming, permafrost thaw, latitudinal and altitudinal expansion of tree-line, proliferation of tall shrubs into tundra, intensification of the freshwater cycle, and changes to stream volume and water quality. However, forecasting how these changes will affect northern, high latitude environments is difficult due to a lack of process-based research across scales. Wolf Creek Research Basin (WCRB) in Southern Yukon is a well-established mesoscale alpine catchment comprised of three ecozones and has hydrometric and meteorological records spanning 25 years. In this thesis, extensive field campaigns generated hydrochemical, stable isotope, and high-frequency in-situ datasets that were analyzed in conjunction with historical data from WCRB to refine and advance existing conceptual models. These distinct datasets were collected within a nested experimental design to more precisely describe relationships between catchment conditions, ecohydrological processes and stream water quantity and quality beginning at the headwater scale and with scaling to the outlet of WCRB. Optical data was combined with dissolved organic carbon (DOC) concentrations to assess source areas and in-stream dissolved organic matter (DOM) quality across landscape units. Headwater DOC concentrations and fluxes from 2015-2016 were compared to the previous decade to assess changing export. In situ sensors that record chromophoric DOM (CDOM) at high frequency were paired with discharge and conductivity measurements to assess concentration-discharge relationships at event, seasonal and annual scales. Conceptual models of conductivity and major ion transport were confirmed while high-frequency CDOM-Q insights refined our understanding of DOC movement. As vegetation community composition and characteristics change, it is expected that components of the water balance will be altered at both the canopy level and within the critical zone. Compartmentalization of water within the critical zone is increasingly important to provide insights into how water cycles within catchments. Dual isotope and lc-excess approaches showed that bulk and xylem water were significantly different from the LMWL and stream water isotopes of δ2H and δ18O. Meanwhile, an increasingly enriched xylem water isotope signal overlapped with bulk soil water values as the growing season continued, which suggests the opportunistic use of available mobile soil water.

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 score0.780
Threshold uncertainty score0.438

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 studies0.0000.000
Scholarly communication0.0010.001
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 head0.006
GPT teacher head0.181
Teacher spread0.175 · 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
Published2020
Admission routes1
Has abstractyes

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