Vegetation and carbon dynamics of high-latitude peatlands in a changing climate : From early Holocene to recent past
Notice bibliographique
Résumé
The high-latitudes are warming at more than twice the rate of the global average. Warming and the consequent changes in hydrology affect peatland functioning, especially through changes in vegetation and carbon dynamics. The majority of the world’s peatlands are found in the Northern Hemisphere, forming a globally significant carbon storage and they are in constant interaction with the atmosphere through carbon uptake and release. The global importance of peatlands is widely recognised; however, the role played by high-latitude peatlands in changing climates is still unclear. It is not thoroughly understood how warmer future climates and hydrological changes will affect peatland vegetation and carbon processes. These uncertainties result from the complexity of peatlands and from the manifold future trajectories that are affected by different forcing factors from climate to local conditions. In this dissertation, I aim to increase our knowledge of high-latitude peatland vegetation and carbon dynamics under changing climatic conditions. My approach is palaeoecological, because I use peat records as an archive to reconstruct the response of high-latitude peatlands to known changes in climate. Peatlands function as important archives, since under anoxic and acidic conditions, peat-forming plant remains are well preserved. By identifying these plant remains, we can reconstruct past vegetation compositions. The various peat-forming plants have their own ecological niche, since they prefer and require specific hydrological or nutritional conditions and thus are good indicators for past hydrological changes and conditions. For this dissertation, I collected, in total, 47 peat records from eastern Canada, northern Sweden and Finland, the Kola Peninsula and the northeast of European Russia. I investigated how peatland habitats, carbon accumulation and cycling of our study sites have changed in response to changes in climate. For this, I used plant macrofossils, peat geochemical measurements and dating methods. In addition, I statistically inspected the change in vegetation compositions over time and used a model of carbon accumulation that considered peat decay aspects to determine whether carbon accumulation has been higher or lower than what we would otherwise predict, based on carbon accumulation models. My results show that during recent centuries, the vegetation compositions of the microhabitats examined have mostly changed from typical wet sedge fen vegetation to Sphagnum moss-dominated intermediate surfaces and dry moss- and dwarf shrub-dominated surfaces. During recent decades, these vegetation compositions have remained rather stable, with no major changes in vegetation. However, the spatiotemporal variation within and between the study sites was prominent, and thus to detect any large-scale signals from the data it was essential to use multiple samples and sampling points. Based on my data, it was plausible to consider that if high-latitude peatland vegetation changes from sedge fen vegetation to more hummocky vegetation types, high-latitude peatland carbon accumulation and sink capacity may remain significant or even increase. To better predict the role of peatlands under changing climates, it is crucial that peatland vegetation responses, carbon dynamics and their linkages with climate are more thoroughly understood. My data also support the prevailing understanding that peatlands are important carbon sinks and storages and thus preserving ecosystems that form a nature-based solution to the problem of mitigating the effects of climate warming is highly important.
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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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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 ».