Soil Organic Carbon Stocks and Dynamics in Cultivated Prairie Pothole Wetlands
Notice bibliographique
Résumé
The Prairie Pothole Region requires stronger evidence to improve our understanding of how soil organic carbon varies across wetlands. The contribution of prairie pothole wetlands to soil carbon storage in agroecosystems is an important consideration for conservation, soil carbon reporting, and environmental policies. The aim of this research is to refine soil organic carbon estimates for prairie pothole wetlands by accounting for variability associated with environmental and land management factors. Through a meta-analysis of studies from the region, climate, hydrology, parent material, and land management were identified as key variables for explaining wetland soil organic carbon. Data gaps in specific climate regimes (ecoregions) and wetland land management practices were recognized as being needed to accurately estimate soil organic carbon stocks in prairie pothole wetlands. Soil sampling for undrained and drained wetlands in cultivated fields across the Saskatchewan portion of the Prairie Pothole Region was completed to refine soil carbon stock estimates. The stock change factors for cultivation and drainage were also calculated. Ecoregion and wetland type significantly influenced soil organic carbon storage in both undrained and drained cultivated wetlands. The impact of land management was also recognized in the undrained wetlands and with drainage, further emphasizing the opportunity for sustainable agricultural practices to promote soil carbon sequestration in these wetlands. To accomplish this research, methods were developed to classify wetlands with open-source remote sensing technology and predictive models. The outputs from these workflows enabled wetland class assignment with adequate prediction accuracies and improved the extrapolation of soil organic carbon measurements from sampling points within the wetland to the entire wetland area. A microcosm experiment was also conducted to investigate how dynamic soil salinity affects wetland carbon cycling and greenhouse gas emissions. The experiment results showed decreasing wetland salinity contributed to increases in greenhouse gas emissions. This understanding provides a foundation for how we can expect landscape-scale soil salinity changes to affect wetland soil organic carbon stocks. The data from this research can be applied to broader research and modeling of soil carbon and wetland ecosystem services across the Prairie Pothole Region. The findings have enhanced regional soil carbon stock estimates and can support decision-makers in the region to develop wetland management practices that support carbon sequestration and sustainability in agricultural prairie landscapes.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| 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 | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,003 |
| Science ouverte | 0,001 | 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 tête enseignante, 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 ».