Assessing Soil Physicochemical Properties and Soil Organic Matter Stability across a Grassland-Cropland Edge at an Ecotone in Saskatchewan
Notice bibliographique
Résumé
Farming production may move northward since climate change is making the south warmer and drier. The expansion of agricultural land impacts several properties and functions of native soils due to changes in land use management and vegetation covers. The current edge between native land and cropland that exists within the prairie-forest ecotone might be the first area to be impacted by changes in both land use management and climatic conditions (i.e., temperature and moisture conditions). Our goal was to find out which land use in this area would be more stable under land use change induced by climatic conditions changes. To achieve our goal, we evaluated physicochemical properties, soil organic matter (SOM) fractionation and biological stability of two main aggregate size fractions (> 2000 µm, and 150–2000 µm) of soils across a grassland-cropland edge in central Saskatchewan, Canada. Additionally, we examined changes in SOM stability of these soils under different temperature and moisture conditions. Our result showed that both land use and soil depth were primary factors controlling soil physiochemical properties. The amount of TOC, TC, TN, and OC:TN ratio gradually declined from grassland to cropland in topsoil (0–12 cm). Since SOM light fraction (LF) is decomposed faster than heavy fraction (HF), HF had significantly higher mass, C and N contents, and C:N ratio compared to LF. Among land uses, cropland had the highest HF mass within two main aggregate size fractions, while all land uses had similar amount of LF mass. Furthermore, the proportion of decomposable C within two main aggregate size fractions of grassland was higher than that of cropland, but the large aggregate size fraction of cropland mineralized more N per g TN than that of grassland. As for SOM stability under different climatic conditions, soils from all land uses mineralized more C and N at higher temperatures regardless of moisture conditions. Besides temperature, land use was another main factor influencing C mineralization, but soil moisture was the other main factor affecting N mineralization. Our results indicated that cropland was more stable than the edge and grassland in terms of C mineralization, but less stable in terms of N mineralization. In addition, the edge was more sensitive to climactic conditions than other land uses in terms of N mineralization. Understanding soil physiochemical properties, SOM stabilization and fractionation, and how these properties of soil might react to land use management change induced by climate change would aid in developing sustainable management which brings benefits to both the producers and the environment.
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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 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».