Livestock production and stream health in the Great Lakes Basin, an agroecosystem health approach
Notice bibliographique
Résumé
An agroecosystem health framework is presented as a new approach for assessing livestock impacts on stream health in the Great Lakes Basin (GLB). Agroecosystems are defined as complex, open, self-organizing systems, occurring within a nested hierarchy. They are characterized by biophysical and socio-economic dimensions, and by complex interrelationships and feedback loops within systems, between dimensions, and between levels of the hierarchy. Agroecosystem health is assessed in terms of integrity, efficiency, adaptability, and effectiveness, using indicators from different scales and dimensions of the hierarchy. A theoretical model of the links between livestock production, stream health and farm economics identified three pathways of effect: manure, grazing, and feed crop production. A conceptual model case study was conduced on Carroll Creek, in Ontario. Livestock access to the creek and exponentially decayed livestock density were inversely associated with several stream health indicators, including an Index of Biotic Integrity of fish (IBI) and a stream habitat index. Agricultural census data were re-aggregated into watersheds, yielding livestock and economic indicators for a GLB watershed study. A need for universal stream health indicators was identified in the lack of consistency between monitoring protocols from six GLB jurisdictions. Fish and benthic macroinvertebrate indices were only weakly associated, suggesting these communities reflect different aspects of stream health. Two indices were applied to all available GLB data: a taxonomic order-level Hilsenhoff Biotic Index (invertebrates) and a modified GLBIBI (fish), which was validated against existing fish indices. Associations between these indices and livestock indicators were tested using multi-level mixed effects regression models. Swine density and corn area were associated with Hilsenhoff score (higher score indicates more tolerance to pollution). GLBIBI was negatively affected by poultry density and soybean area, and the effect of corn was equivocal when poultry density was controlled. Significant statistical interaction occurred between State of origin of the data and some covariates. Indicators of manure impact (livestock density) and cropping effects (grain area) seemed more strongly associated with biotic indicators of stream health than grazing indicators, especially at the watershed scale. The findings suggest that biophysical integrity of streams is decreased in areas of intensive swine, poultry, and cash cropping in the GLB.
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 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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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 ».