Impact of Slope Position and Hog Manure Injection on Soil P and N Distribution in an Undulating Landscape in Saskatchewan, Canada
Notice bibliographique
Résumé
Concern for the Quality of Snowmelt Runoff (QSR) in the semiarid region of the CanadianPrairies has drawn much attention due to the fact that 80-85 percent of the annual runoff volumecomes from snowmelt. The QSR depends on the number of factors such as fall soil condition, soilnutrient levels, fertilizer type and application method, crop type, and characteristics of snow pack and snowmelt. These factors may vary with the landscape position. Among these factors, soil nutrient levels (i.e., soil phosphorus and nitrate) play a significant role in determining the quality of snowmelt runoff. Investigation of how soil phosphorus and nitrate are distributed over the landscape in the fall will provide vital information in researching how the quality of snowmelt runoff varies with landscape position and in identifying the Critical Source Areas (CSA), which contribute soil nutrients to snowmelt runoff. Therefore the primary objectives of this study are (1) to investigate how soil nutrients are distributed in the landscape in the fall before soil freeze-up and (2) to study how manure application affects this distribution. The study was conducted in a small watershed at Elstow, Saskatchewan, Canada. The site islocated in an undulating landscape and is internally draining to a small depression in the centre of the watershed. The average slope is 2.7%. Soils are moderate to fine textured. The watershed and adjacent fields received hog manure in the fall of 2001 and 2003. A Digital Elevation Model developed for the site was used to classify the landscape into different landform segments (i.e.,Shoulder, Backslope and Footslope). Six sampling transects, covering three landform segments,were established running radial from the centre of the watershed. Fall soil samples (2003 and 2004)collected along each transect were analyzed for soil moisture content, available soil phosphorous,soil nitrate and soil ammonium. For the landscape in this study, available fall soil phosphorus levels increased in the order of backslope < shoulder < footslope. Fall soil nitrate levels increased from shoulder to footslope for this landscape. Soil ammonium levels did not vary between shoulder and backslope, while the footslope positions had a significantly higher ammonium level than the other two landform segments. Manure application changed the above distribution patterns of available soil P, NO3- and NH4 +. However, one year after hog manure application, only available soil P still showed the effect of manure application. For this landscape, soil moisture did not vary with landform segments in the fall except the soil moisture level in footslope in fall 2004 which was significantly different from the other landformsegments.
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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 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,000 | 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 ».