Land Use Effects On Soil Biological Properties In Two Topographically Variable Agroecosystems In Saskatchewan
Notice bibliographique
Résumé
Soil biological properties tend to be under utilized as indicators in soil health tests. Novel measures - those seldom used in such metrics - such as microbial abundance and biomass, community structure, and enzyme activity are directly related to soil resource availability, organic matter decomposition, and nutrient cycling, which are affected by agricultural land use. The inclusion of biological properties in soil health tests may allow land managers to compare the effects of management practices faster than if they relied solely upon changes in chemical and physical properties over time. The objective of this project was to measure how enzyme activity, microbial abundance, and community structure are affected by annual and perennial cropping systems at different landscape positions, over different depths, and across the growing season at two different locations within the province, [St. Denis National Wildlife Area (SDNWA), and the Conservation Learning Centre (CLC)]. The SDNWA and CLC were chosen due to their topographic variation and presence of adjacent perennial and annual land use. Samples were taken at different landscape positions at different time points within the growing season to account for both location and seasonal effects on soil function. Time within the growing season influenced enzyme activity differently between perennial vs. annual cropping systems at both sites. However, seasonal dynamics in the annual system differed between the two sites due to differences in crop rotation. For example, SDNWA had elevated enzyme activity in the annual cropping system early in the growing season, a trend that did not exist at CLC. The effects of perennial cover were found to often buffer the effects of topography in the perennial agroecosystems, which affected not only enzyme activity but also PLFA abundance, particularly fungal signatures. Finally land use effects were moderated by both topographic and depth effects at CLC in a complex interaction which affected enzyme activity and PLFA abundance, while the same interaction was not seen at SDNWA. These findings indicate that novel soil biological properties respond to changes in management factors often interconnectedly with land use, and environmental factors such as topography, depth, and season, and that these biological properties could be valuable additions to soil health indices.
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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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».