Combining life-cycle assessment and linear programming to optimize social fertilizer costs
This paper focuses on the role of fertilizers within regional nutrient cycles. Bio-based fertilizers can contribute to regional nutrient circularity, but the question remains whether production and consumption of bio-based fertilizers is beneficial to the farmer and the environment. Therefore, both...
Gespeichert in:
Veröffentlicht in: | Journal of environmental management 2024-10, Vol.369, p.122225, Article 122225 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This paper focuses on the role of fertilizers within regional nutrient cycles. Bio-based fertilizers can contribute to regional nutrient circularity, but the question remains whether production and consumption of bio-based fertilizers is beneficial to the farmer and the environment. Therefore, both farmers’ private costs and environmental externalities should be taken into account. We formulate a farm-level multi-objective optimization model by considering a range of fertilizers, their costs and the environmental consequences associated with their production and use. The cost-minimization approach is applied to a conceptualized Flemish leek farmer aiming to safeguard nutrient uptake while being constrained by nutrient standards and the availability of on-farm residues. Our results suggest that mineral fertilizers have an important role in the fertilizer mix despite their environmental externalities. Nevertheless, there is also a role for bio-based fertilizers. These results have implications for farmers and policymakers wishing to internalize fertilizer externalities.
•An optimization model minimizes social costs of a horticultural fertilizer mix.•The analysis employs life-cycle analysis, cost data and externality valuation.•Usage of mineral fertilizers, pig slurry, compost and crop residues is optimal.•Sensitivity analyses highlight the importance of ammonia emissions. |
---|---|
ISSN: | 0301-4797 1095-8630 1095-8630 |
DOI: | 10.1016/j.jenvman.2024.122225 |