Optimizing intermediate ecosystem services in agriculture using rules based on landscape composition and configuration indices

Research output: Contribution to journalArticle

Abstract

Important intermediate ecosystem services (ES) such as crop pollination and biological control of pests, which underpin the final ES agricultural yields, are mediated by mobile organisms that depend on availability of habitat and its arrangement in the landscape. It has been suggested that landscape-scale management (LSM) of habitat in a multi-farm setting results in higher provisioning of such ES compared to farm-scale management (FSM). However, to achieve the LSM solution, farmers' land-use decisions need to be coordinated. To this end, we develop rules based on novel landscape composition and configuration indices. We model farmers' interdependencies through ES in an agent-based model (ABM) and optimize land use at both the farm and landscape scales for comparison. Our analysis is based on a simple artificial landscape with homogeneous soil quality and uses crop pollination as an illustrative ecosystem service. We consider habitat configuration at the field scale. Our rules demonstrate that the coordinated solution is characterized by a higher degree of habitat availability and a configuration of habitat that is dispersed rather than agglomerated. We tested these rules over a range of assumptions about ecological parameter values and suggest that such rules could be used to improve governance of ES in agricultural landscapes.

Details

Authors
Organisations
External organisations
  • Swedish University of Agricultural Sciences
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Environmental Sciences related to Agriculture and Land-use

Keywords

  • Agent-based model, Agglomeration, Agri-environmental policy, Dispersion, Governance, Pollination
Original languageEnglish
Pages (from-to)214-223
Number of pages10
JournalEcological Economics
Volume128
Publication statusPublished - 2016 Aug 1
Publication categoryResearch
Peer-reviewedYes

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