Edge of Field Vegetated Buffers as a Potential Source of Dissolved Phosphorus over the Non-Growing Season in Cold Climates
Notice bibliographique
Résumé
Phosphorus (P) rich runoff from agricultural landscapes are a major contributor to freshwater eutrophication issues. To intercept this runoff before it reaches waterways, vegetated buffer strips (VBS) are often employed at field edges. Over time, sediment and nutrients accumulate at these unmanaged field edges and can become legacy sources of P, representing a source of dissolved P to waterways. In addition, typical non-growing season (NGS) conditions experienced in cold climates favour the release of P from vegetation within VBS, further adding to the potential for these features to contribute to P loads of waterways. Although these sites represent potential sources of P to waterways, it is unclear if the risk of release differs across different regions, or with riparian zone shape/topography or vegetation type. Thus, the aim of this thesis is to measure the variability of P concentrations in VBS soil and vegetation samples across several sites to determine the effects that topography, freezing temperatures, period of inundation, and soil P level have on mechanisms of P retention, mobilization, and transport over the NGS in typical Canadian VBS. \nSoil and vegetation samples were collected at various topographic locations (up, mid, low slope) from 4 Ontario (moderate winter) and 4 Manitoba (severe winter) VBS sites at the beginning and end of the NGS (Fall of 2020 and Spring of 2021) to measure their water extractable P and plant-available P contents. This analysis was supplemented with in-field hydrologic and temperature data at most sites. Results demonstrate that topography can drive soil P levels but has no effect on vegetation P or on the change of soil or vegetation P concentrations over the NGS due to greater periods of inundation. While the severity of freezing impacted the extractability of vegetation P, it was found that the temperatures applied in the lab were more severe than those experienced in the field due to the presence of snow cover accumulating in ditches. Further analysis on the effects of vegetation management were conducted on frozen soil/vegetation columns extracted from one Ontario site. Those results indicate the efficacy of vegetation harvesting as a means of reducing P losses from runoff through VBS, with the potential to reduce SRP loads by 3 and 10 kg/ha (for lower and upper zones, respectively). To investigate the relationship between vegetation and soil P concentrations more thoroughly and determine if vegetation growing in P-rich soils exhibits greater risk for winter P loss, samples were collected from 2 additional sites with highly elevated soil P due to bunker silo runoff, as part of a pilot study. Results indicate that vegetation P concentrations are independent of soil P concentrations and do not exhibit evidence of luxury P uptake and storage, though further investigation is recommended. \nThis thesis provides an initial investigation into the importance of VBS vegetation to NGS P losses. Future work should design experiments based on the recommendations and lessons learned to further enhance the understanding of vegetation management as a potential VBS best practice for P loss reduction, and to better understand the complex biogeochemical relationships in these systems.
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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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| 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 ».