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Updated: Jun 14, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Combining life-cycle assessment and linear programming to optimize social fertilizer costs
Erika De Keyser1, Timothy Rowe1, Lorenzo Giacomella1
1KU Leuven, Department of Earth and Environmental Sciences, Division of Bioeconomics, Celestijnenlaan 200E, 3001, Leuven, Belgium.
Abstract:
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.
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