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Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity

Author

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  • Guillem, E.E.
  • Murray-Rust, D.
  • Robinson, D.T.
  • Barnes, A.
  • Rounsevell, M.D.A.

Abstract

In this paper, an agent-based model of heterogeneous farmer decision-making was coupled with an individual-based model of skylark breeding populations, and applied to a small intensive arable catchment in Scotland. The impacts of farmer decisions on a tradeoff between food and bioenergy production, and skylark numbers, were simulated under the assumptions of three socio-economic scenarios until the year 2050. Bioenergy and food production had a significant negative effect on adult and fledgling skylarks. In a business-as-usual context, the production of food and bioenergy increases smoothly, and the number of skylarks is more stable over time than in other scenarios. Food production was higher in an economic liberalisation scenario, due to intensive management and higher yield performance. This explained the low average number of skylarks found at the landscape level in this scenario. The number of skylarks was highest in a sustainability-oriented scenario, but a sharp decrease was observed from 2035 onwards due to the large area planted with bioenergy crops. The different values for economic, environmental and social attributes of farmer decisions played an important role in the land use mosaic, the implementation of ecologically-related actions and on the provision of ecosystem services and biodiversity. Overall, results suggest that a re-assessment of policy targets and design is necessary to maximise environmental management efficiency at the catchment level by taking into account the heterogeneity in farmer objectives and the tradeoffs in ecosystem services provision. The novel approach of coupling an ABM with an IBM is encouraged in further land use related studies.

Suggested Citation

  • Guillem, E.E. & Murray-Rust, D. & Robinson, D.T. & Barnes, A. & Rounsevell, M.D.A., 2015. "Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity," Agricultural Systems, Elsevier, vol. 137(C), pages 12-23.
    • Handle: RePEc:eee:agisys:v:137:y:2015:i:c:p:12-23
    DOI: 10.1016/j.agsy.2015.03.006
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    2. Kremmydas, Dimitris & Athanasiadis, Ioannis N. & Rozakis, Stelios, 2018. "A review of Agent Based Modeling for agricultural policy evaluation," Agricultural Systems, Elsevier, vol. 164(C), pages 95-106.
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    6. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, vol. 5(3), pages 1-20, September.
    7. Christian Albert & Johannes Hermes & Felix Neuendorf & Christina Von Haaren & Michael Rode, 2016. "Assessing and Governing Ecosystem Services Trade-Offs in Agrarian Landscapes: The Case of Biogas," Land, MDPI, vol. 5(1), pages 1-17, January.
    8. Yajuan Chen & Qian Zhang & Wenping Liu & Zhenrong Yu, 2017. "Analyzing Farmers’ Perceptions of Ecosystem Services and PES Schemes within Agricultural Landscapes in Mengyin County, China: Transforming Trade-Offs into Synergies," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    9. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.
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    11. Olosutean Horea, 2015. "Methods for Modeling Ecosystem Services: A Review," Management of Sustainable Development, Sciendo, vol. 7(1), pages 5-12, June.

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