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Enregistrement W6981820345

Fate of organic matter mobilized from eroding permafrost coasts

2018· dissertation· en· W6981820345 sur OpenAlexaboutno aff

Notice bibliographique

RevueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2018
Typedissertation
Langueen
DomaineEarth and Planetary Sciences
ThématiqueClimate change and permafrost
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThermokarstPermafrostArcticActive layerGreenhouse gasOrganic matterGlobal warmingErosionBiogeochemistry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Permafrost, defined as ground that remains frozen for at least two consecutive years, is a prominent feature of polar regions. In the Northern Hemisphere, approximately 23 million km2 of the ground are affected by permafrost. Climatic warming, which has a greater effect on the Arctic than on any other region on Earth, leads to permafrost thaw, caused by gradual deepening of the seasonal unfrozen layer (active layer), thermokarst formation (i.e. land subsidence due to ground ice loss) and thermo-erosion. In the course of thaw, formerly freeze-locked organic carbon (OC) is mobilized and mineralized into greenhouse gases (GHGs), fostering further climate warming – a process known as permafrost carbon feedback. Current climate models focus on GHG release from gradual deepening of the active layer and neglect the OC turnover during lateral transport induced by thermokarst and abrupt thermo-erosion. As such, the accelerated erosion of Arctic permafrost coasts, which make up ~34 % of the global coasts, deliver vast amounts of OC into the Arctic Ocean. However, little is known about the amounts of labile and fast bioavailable dissolved OC (DOC), the impact of thermokarst on mobilized organic matter (OM) characteristics, and the release of GHGs from eroding permafrost coasts. To fill that knowledge gap, the main objectives of the thesis are to investigate (i) how much DOC is mobilized from coastal erosion, (ii) how thermokarst and -erosion alters OM characteristics upon thaw on transit to the ocean, and (iii) how much GHGs are emitted from the nearshore zones of eroding permafrost coasts. Field work and sampling took place along the Yukon coast and on Qikiqtaruk (Herschel Island) in the western Canadian Arctic. An interdisciplinary approach was used to quantify OM (OC and nitrogen) as well as to identify degradation processes. The methods used included sedimentology, geo- and hydrochemistry, remote sensing, statistical analyses, and gas chromatography. The thesis shows that considerable amounts of DOC are released from eroding permafrost coasts. Although OC fluxes into the ocean are dominated by DOC from Arctic rivers and particulate OC (POC), labile DOC derived from permafrost plays an important role as it is quickly available for biogeochemical cycling and turnover into GHGs. During transit from land to ocean OM characteristics are substantially altered by thermokarst formation and thermo-erosion. In mudpools, originating from in-situ thawed permafrost, as well as in thaw streams draining thermokarst features towards the ocean, mobilized OM issubject to dilution with melted ground ice and degradation, which result in a decrease of OM contents by more than 50 %. The turnover of OC continues in the nearshore zone. The biochemically most labile OC portions are rapidly lost within months and mineralized into GHGs. The production of GHGs in the ocean is 60 to 80 % as efficient as on land and primarily in form of carbon dioxide (CO2), due to aerobic conditions in the nearshore zone. During each open water season in the Arctic approximately 0.7 to 1.2 Tg of CO2 are emitted from the coastal fringe. The remaining OM is buried in nearshore and shelf sediments, potentially remobilized by waves, currents and ice scouring at later stages. To conclude, the thesis shows that eroding permafrost coasts release large amounts of OC, from which considerable portions are labile DOC. In the course of thermokarst formation and thermo-erosion, OM is diluted and the most labile portions subject to rapid turnover into GHGs. This shows that eroding permafrost coasts are a major yet neglected source of CO2 to the atmosphere. With increasing temperatures and longer sea ice-free conditions projected for the Arctic, the erosion of permafrost coasts accelerates. Consequently, the transfer of OC to the ocean accompanied by GHG production increases, which is expected to have drastic impacts for the climate and coastal ecosystems.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

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 technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,022
Tête enseignante GPT0,268
Écart entre enseignants0,246 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2018
Routes d'admission1
Résumé présentoui

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