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.

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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
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article

Optimizing land-use strategies to improve grassland multifunctionality

Sergei Schaub, Pierrick Jan, Nadja El Benni, Valentin H. Klaus et al.
2 citations
Land Use Policy
Land Use and Ecosystem Services
2.21
article

Optimizing land-use strategies to improve grassland multifunctionality

Sergei Schaub, Pierrick Jan, Nadja El Benni, Valentin H. Klaus, Olivier Huguenin‐Elie, Franziska Richter
article en
2 citations

Abstract

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.

Land Use PolicyVol. 153
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)
Zero hunger
Openalex Percentile: Top 14%
Land Use and Ecosystem Services
2.21
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Optimizing land-use strategies to improve grassland multifunctionality — Sergei Schaub, Pierrick Jan, et al. · Land Use Policy (2025) | TGRS Research Map | TGRS