The Effect of Land Management Changes and Nutrient Runoff Capture on Water Quality and Farm and Watershed Economics
Notice bibliographique
Résumé
Beneficial management practices (BMPs) are designed to minimize environmental impacts and provide on- and off-farm benefits such as improved farm economics and enhanced water quality for domestic consumption, recreation and healthier aquatic ecosystems. Adoption of BMPs depends on the willingness of producers to implement them and on producer capacity to finance the investment. The Watershed Evaluation of Beneficial Management Practices (WEBs) project was initiated in 2004 under Agriculture and Agri-Food Canada (AAFC) to investigate water quality issues and economics related to agricultural production. The project selected nine watersheds across the country where BMPs were implemented to determine the effect on water quality in terms of nutrients, pathogens and sediment and on-farm economics. The South Tobacco Creek (STC) watershed, located in southern Manitoba, was one of the nine watersheds selected. Several BMPs were investigated in STC, including land management changes, the use of small dams and retention ponds to control the runoff from livestock yards from entering the water ways. The objective of the WEBs STC economics component was to assess on-farm economic costs and to identify and assess potential on-farm and off-farm benefits of applying the selected BMPs. The STC economic results have shown that some of the BMPs tested contribute positively to improved farm economics and financial returns but there are some BMPs whose revenues will not fully offset BMP costs. Certain off-farm benefits resulting from BMP implementation have also been identified. Reduced tillage BMP was shown to have significant benefits to producers based on combined experimental and model results. For the small dam/reservoir BMP the net present value based on only flood damage control was shown that the financial payback period can be less than 35 years. Significant additional potential benefits in terms of irrigation, sediment and nutrient entrapment, and recreational activities have also been determined. For land conversion to forage BMP, the cost saving of inclusion of forage to annual crop rotation was not enough to compensate the loss of opportunity through the loss of net income in annual crops. Similarly, the farm benefit of the holding pond which built to capture run-off from an upstream winter cattle containment area was not enough to justify its instalment cost, although nutrients, sediment and pathogens export (off-farm benefits) were reduced significantly. The STC research provided producers, governments, and watershed groups with credible information that can be used to promote adopting and maintaining BMPs.
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 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 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) | 0,002 | 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 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 ».