Past and Future Hydrology Near the Arctic Treeline
Notice bibliographique
Résumé
The Arctic has warmed rapidly, increasing shrub cover and density, and thawing permafrost. Understanding, quantifying and predicting the impact of these environmental changes on the hydrological regime of Arctic headwater basins represents a great scientific challenge, particularly due to the sparse monitoring network, limited understanding of governing physical processes and their interaction, and the uncertainty in future climate projections. The purpose of this research is to better understand the impact of climate and vegetation change on the hydrology of Arctic basins near the treeline. This thesis is divided into four sections with the following objectives: (1) to test the coupling of a ground freeze/thaw algorithm with a hydrological model at two research sites in northern Yukon; (2) to diagnose the hydrology of a small Arctic basin near the treeline using a physically based hydrological model; (3) to quantify its historical long-term changes and investigate the individual and combined effect of changing climate and vegetation on its hydrology; and (4) to use high-resolution climate simulations under a high gas concentration scenario along with expected vegetation changes, to investigate changes to hydrological processes and regime. Results revealed the importance of including vegetation dynamics such as changes in shrub extension and density in hydrological models, to capture their impact on blowing snow redistribution and sublimation, and canopy interception and sublimation of snow, something neglected by current studies. This study demonstrated that increasing shrub extension and density near the Arctic treeline slightly compensates the historical decrease in mean annual discharge produced by the decreasing precipitation, providing a small degree of hydrological resiliency. Historical change analysis revealed that hydrological processes are decelerating near the Arctic treeline, such as decreasing evapotranspiration, soil moisture, sublimation and streamflow, mostly driven by climate change. However, under sufficient climate change (38% and 6.1 °C increase in mean annual precipitation and temperature, respectively) significant hydrological changes are expected, reversing the simulated historical changes. Projections show a significant increase in mean annual streamflow discharge, shortening of the snowcover seasons, deepening of the active layer thickness, increasing peak snow accumulation and earlier and larger peak streamflow. Whilst specific to one basin, they indicate the nature of hydrological changes facing Arctic hydrology. These changes will have significant impacts on ecosystems, infrastructure, landscape evolution and atmospheric feedbacks, which are required to be properly understood and quantified to design sustainable and effective mitigation and adaptation plans. The analyses and discussions presented in this study to diagnose the past and predict future Arctic hydrology are relevant for the scientific community of hydrologists, engineers, water managers and policy makers, particularly those interested in cold regions.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».