Optimizing land-use strategies to improve grassland multifunctionality
We investigate the effect of spatial land-use intensity allocation, policies, and risk on the expected utility derived from grassland multifunctionality (i.e., bundles of ecosystem services) and optimal land-use strategies. The considered policies stipulate various minimum shares of extensive grasslands and can be implemented at the farm or landscape level. Based on comprehensive survey data from Swiss permanent grasslands, we find that risk decreases expected utility from multifunctionality. Using an integer programming approach shows that optimizing land-use strategies at the landscape level would increase expected utility from multifunctionality. Hence, implementing policies at the landscape level can help increase policy effectiveness and multifunctionality. • We study land-use effects on expected utility from multifunctionality in grassland. • We focus on spatial land-use intensity allocation, policies, and supply risk. • We leverage comprehensive survey data from Swiss permanent grasslands. • Risk can decrease expected utility from multifunctionality. • Landscape-level policies can increase expected utility.
Authors
- Sergei Schaub (ORCID: https://orcid.org/0000-0001-8477-3737)
- Pierrick Jan (ORCID: https://orcid.org/0000-0002-3188-8730)
- Nadja El Benni (ORCID: https://orcid.org/0000-0002-3379-2425)
- Valentin H. Klaus (ORCID: https://orcid.org/0000-0002-7469-6800)
- Olivier Huguenin‐Elie (ORCID: https://orcid.org/0000-0003-3803-0654)
- Franziska Richter (ORCID: https://orcid.org/0000-0001-7865-9903)
Institutions
- University of Zurich (CH)
- Swiss Federal Institute for Forest, Snow and Landscape Research (CH)
- ETH Zurich (CH)
- Agroscope (CH)
- Institute for Sustainability (GB)
- Ruhr University Bochum (DE)
Publication Details
- Journal
- Land Use Policy
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1016/j.landusepol.2025.107548
- Citations
- 2
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 2.21