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Record W7071981965

Using stable water isotopes to partition source water contribution and assess spatio-temporal source water dynamics of wetlands ecosystems in the eastern Canadian Rocky Mountains

2021· dissertation· en· W7071981965 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandHydrometeorologyHydrology (agriculture)Surface waterEcosystemMontane ecologyWater balanceDrainage basinWatershed
DOInot available

Abstract

fetched live from OpenAlex

Subalpine and montane regions of the Canadian Rocky Mountains are expected to experience continued changes in hydrometeorological processes due to anthropogenically-tied climate warming. These regions are important in regulating the global water balance since they contribute a significant amount to annual surface runoff. The major river networks sustained by these catchments provide water to a large portion of people in western Canada and parts of the United States. In such environments, wetlands are important elements of mountain hydrologic systems because of their ability to regulate flow by contributing water to downstream sources. However, these ecosystems are potentially sensitive to changing hydrometeorological conditions and it is not clear how climate trends will affect source water composition. Therefore, an understanding of the contribution of subalpine and montane wetlands to downstream water bodies, and their controlling climatic factors, across space and time remains a major gap in mountain hydrological research. 
\nThis thesis addresses these research gaps by using stable water isotope (δ2H and δ18O) techniques to partition source waters from a subalpine wetland to downstream water bodies and assess evaporative fluxes in wetland surface waters across spatial and temporal scales. Since different source waters have distinguishable isotopic signatures, they can be used in combination with knowledge of climate patterns and landscape characteristics to trace spatiotemporal water movement over catchment and regional scales. Source waters (e.g. rain, snow, groundwater, stream, and surface waters) were sampled and analyzed during the 2018, 2019, and 2020 growing seasons, then combined with historic data from 2012, to determine the relative contribution of wetland source waters to downstream water bodies and determine the influence of evaporative fluxes on wetland surface waters. 
\n\tOverall, the composition of downstream surface waters followed seasonal patterns and indicated periods of heavy source water mixing. There was strong seasonal dependence on snow meltwater, rainfall, and presumably, glacial meltwater during the pre-, peak, and post- growing seasons, respectively. Snowmelt inputs during the pre- growing season recharged groundwater stores and promoted downstream flow. Transitioning to the peak- growing season, the Burstall Valley relied heavily on rainfall to sustain saturation levels and generate runoff. Finally, inputs from glacial meltwater trigged rapid streamflow during the post- growing season resulting in a greater proportion of downstream surface waters originating from the Burstall Streams. There was minimal evaporation from Burstall Wetland throughout the growing season as seasonal source waters replaced waters stored within the landscape. However, this was not the case at extensive sites. Instead, evaporation fluxes followed a strong spatiotemporal gradient with stronger d-excess signals at lower elevations during the late summer, indicating greater surface water storage capacity. These results indicate that under certain climate conditions (e.g. drought, warmer temperatures), subalpine and montane wetlands may experience increased water loss or dry out during the late summer months if snowmelt continues to occur earlier in the year prolonging the growing season.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.276
Teacher spread0.253 · 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