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

2021· dissertation· en· W7005653688 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2021
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCell Image Analysis Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEvapotranspirationApportionmentTranspirationContext (archaeology)LysimeterSoil waterWater cyclePhenologyHydrology (agriculture)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,541
Score d'incertitude au seuil0,652

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,002
Tête enseignante GPT0,148
Écart entre enseignants0,146 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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