Impact of farm size on the function of landscape-level payments for ecosystem services: An agent-based model study

cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationPalo Alto High Schoolen
cg.contributor.affiliationCornell Universityen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeNature-Positive Solutions
cg.contributor.initiativeLow-Emission Food Systems
cg.creator.identifierWei Zhang: 0000-0002-2933-6275en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1088/2515-7620/adbe2aen
cg.identifier.projectIFPRI - Natural Resources and Resilience Uniten
cg.identifier.publicationRankNot rankeden
cg.isijournalISI Journalen
cg.issn2515-7620en
cg.issue3en
cg.journalEnvironmental Research: Communicationsen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaEnvironmental health and biodiversity
cg.subject.impactAreaClimate adaptation and mitigation
cg.volume7en
dc.contributor.authorWu, Vinceen
dc.contributor.authorBell, Andrew Reiden
dc.contributor.authorZhang, Weien
dc.date.accessioned2025-03-20T15:06:25Zen
dc.date.available2025-03-20T15:06:25Zen
dc.identifier.urihttps://hdl.handle.net/10568/173760
dc.titleImpact of farm size on the function of landscape-level payments for ecosystem services: An agent-based model studyen
dcterms.abstractReducing pesticide use and restoring biodiversity are among the most pressing environmental challenges. Enhancing natural pest control ecosystem services through the integration of non-crop habitats (NCH) offers promising potential, creating a positive feedback loop by harnessing insect biodiversity to reduce pesticide reliance. Policy support is needed at the landscape level to encourage adoption of this currently underutilized approach, which depends on spatial coordination and collective behavioral change. Farm size, which critically influences farmers' agrochemical inputs, agroecological practices, and interactions with neighboring farms, varies across agricultural landscapes. It is unclear what role farm size plays in landscape-scale agri-environmental incentive programs, which have recently seen growing attention in scientific research and policy implementation. We employ framed field games and agent-based modeling as complementary research tools, exploring how farm size impacts the function of landscape-scale NCH subsidies aimed at encouraging coordinated provision and sharing of natural pest control services to reduce pesticide use. Our model simulation shows that, in landscapes of larger average farm size or lower farm size heterogeneity, NCH subsidies are significantly more effective at reducing pesticide use and increasing NCH efficiency in providing joint production benefits. Our results imply that landscape-scale payments for natural pest control ecosystem services face fewer obstacles as incentive-based mechanisms in landscapes of larger, more homogeneous farms, supporting the implementation of landscape-scale initiatives in such areas to effectively enhance ecosystem services. Our findings contribute to the growing discussion around landscape-level financial incentive programs that depend on spatial coordination, highlighting the importance of farmers' land holding size.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2025-03-07en
dcterms.bibliographicCitationWu, Vince; Bell, Andrew Reid; and Zhang, Wei. 2025. Impact of farm size on the function of landscape-level payments for ecosystem services: An agent-based model study. Environmental Research: Communications 7(3): 031010. https://doi.org/10.1088/2515-7620/adbe2aen
dcterms.extent30 p.en
dcterms.issued2025-03en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherIOP Publishingen
dcterms.relationhttps://hdl.handle.net/10568/169371en
dcterms.subjectagent-based modelsen
dcterms.subjectecosystemsen
dcterms.subjectfarm sizeen
dcterms.subjectlandscapeen
dcterms.typeJournal Article

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