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Record W7005653688

THE ROLE OF PLANT HYDRODYNAMICS AND PHENOLOGY IN PLANT WATER SOURCE APPORTIONMENT

2021· dissertation· en· W7005653688 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsEvapotranspirationApportionmentTranspirationContext (archaeology)LysimeterSoil waterWater cyclePhenologyHydrology (agriculture)
DOInot available

Abstract

fetched live from OpenAlex

Understanding plant water sources, their apportionment in time, and the age distribution of transpired water remains a major challenge in ecohydrology. While we know that transpiration is a dominant flux in the terrestrial water cycle, and that precipitation has been increasingly partitioned into evapotranspiration rather than runoff, the understanding of where trees get their water remains a major research gap. Basic questions of what sources of water are being taken up by roots, how that water travels through the xylem, how long takes for water to reach the stomata and then diffuse back to the atmosphere are key to identify mechanisms that control the partitioning of soil water storage into streamflow and transpiration. Trees use and store significant amounts of water. Their roots can create preferential flow paths in the soil, redistribute water within the soil profile, and reach far-deep water storages. Yet, the role of tree hydrodynamics and phenological processes have not been explored in the context of source apportionment age distribution of transpiration. This challenges our ability to fully understand how forests use, store, and cycle water. I undertook a high-resolution weighing lysimeter experiment located in Switzerland, and a large field-based investigation at two long-term studies sites in Canada. In these studies, tree water transport, stem radius change, tree water status, and phenological transition phases were monitored along with high-temporal resolution measurements of stable isotopes in trees, soil and precipitation. The goal was to determine the mechanisms that control tree water use in space and in time and factors that may influence observations of stable isotopes within trees. The major findings of this research were firstly that xylem water analysis using direct vapor equilibration on laser spectroscopy, results in spectral contamination introduced by organic compounds. But 17O-excess can be used as a tool to flag and quantify the degree of spectral contamination in direct vapor analysis and overcome the lack of flagging software or tools to detect contamination in vapor mode. Second, tree water status drives source water apportionment. Soil drying triggers changes in water status and results in shift in water uptake. Thus, measurements of tree water status in high-temporal resolution can improve ours understanding of short-term shifts in tree water sources. High-temporal resolution measurements of tree water deficit offer new opportunities to understand patterns in tree water use when combined with stable isotopes. Third, phloem water is more depleted in heavy isotopes than xylem water. The difference between phloem and xylem water is larger during phloem water refilling and in periods of tree water deficit. These observations led to proposing a phloem refilling hypothesis and illustrated the need to better understand water transport within trees and potential isotope fractionation associations, as well as how this can affect tree water use observations. Fourth, this dissertation proposes a simple method to identify transpiration phenological phases in the boreal forest. This approach shows good alignment and agreement with timing of phenological changes also observed with ecosystem evaporation fluxes, and canopy phenological processes. Lastly, the onset of stem rehydration and transpiration overlap with snowmelt, the largest hydrological event in northern ecosystems. Trees seem to rely on snowmelt water to start transpiring and snowmelt isotopic signatures dominate the transpiration stream in subsequent weeks. This investigation also showed that source water signatures in the xylem are controlled by tree water transit times. The high-temporal resolution observations of tree water use along with the understanding of tree hydrodynamics suggests that ecohydrological separation illustrates the different velocities of flow paths, influenced by dynamic tree water use in space. Overall, through the coupled tree hydrodynamic measurements of tree water transport and water status, transpiration phenology, and stable isotope dynamics of trees, this research has advanced the understanding of tree water use in space and time.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

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 studies0.0000.000
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 head0.002
GPT teacher head0.148
Teacher spread0.146 · 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
Published2021
Admission routes1
Has abstractyes

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