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Invasive species management in a spatially heterogeneous world: Effects of uniform policies

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  • Albers, Heidi J.
  • Fischer, Carolyn
  • Sanchirico, James N.

Abstract

The spread of invasive species (IS) is an inherently spatial process, and management of invasive species occurs over spatially heterogeneous regions, but policy constraints can restrict management responses to be homogeneous across regions. Using a spatial bioeconomic model that includes a representation of invasive species ecology based on heterogeneous environments that are linked across space and time by human and ecological pathways, we compare optimal spatially heterogeneous policy to spatially uniform policy. We explore the magnitude and pattern of the policy differences with emphasis on the influence of different types of underlying heterogeneity across locations.

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  • Albers, Heidi J. & Fischer, Carolyn & Sanchirico, James N., 2010. "Invasive species management in a spatially heterogeneous world: Effects of uniform policies," Resource and Energy Economics, Elsevier, vol. 32(4), pages 483-499, November.
    • Handle: RePEc:eee:resene:v:32:y:2010:i:4:p:483-499
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    2. Walker, Adam N. & Poos, Jan-Jaap & Groeneveld, Rolf A., 2015. "Invasive species control in a one-dimensional metapopulation network," Ecological Modelling, Elsevier, vol. 316(C), pages 176-184.
    3. David Aadland & Charles Sims & David Finnoff, 2015. "Spatial Dynamics of Optimal Management in Bioeconomic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 545-577, April.
    4. Kıbış, Eyyüb Y. & Büyüktahtakın, İ. Esra, 2017. "Optimizing invasive species management: A mixed-integer linear programming approach," European Journal of Operational Research, Elsevier, vol. 259(1), pages 308-321.
    5. Carrasco, L. Roman & Cook, David & Baker, Richard & MacLeod, Alan & Knight, Jon D. & Mumford, John D., 2012. "Towards the integration of spread and economic impacts of biological invasions in a landscape of learning and imitating agents," Ecological Economics, Elsevier, vol. 76(C), pages 95-103.
    6. Kovacs, Kent F. & Haight, Robert G. & Mercader, Rodrigo J. & McCullough, Deborah G., 2014. "A bioeconomic analysis of an emerald ash borer invasion of an urban forest with multiple jurisdictions," Resource and Energy Economics, Elsevier, vol. 36(1), pages 270-289.
    7. Albers, Heidi J. & Hall, Kim Meyer & Lee, Katherine D. & Taleghan, Majid Alkaee & Dietterich, Thomas G., 2018. "The Role of Restoration and Key Ecological Invasion Mechanisms in Optimal Spatial-Dynamic Management of Invasive Species," Ecological Economics, Elsevier, vol. 151(C), pages 44-54.
    8. Bushaj, Sabah & Büyüktahtakın, İ. Esra & Haight, Robert G., 2022. "Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1094-1110.
    9. Costello, Christopher & Quérou, Nicolas & Tomini, Agnes, 2017. "Private eradication of mobile public bads," European Economic Review, Elsevier, vol. 94(C), pages 23-44.
    10. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.
    11. William Brock & Anastasios Xepapadeas, 2020. "Spatial Environmental and Resource Economics," DEOS Working Papers 2002, Athens University of Economics and Business.
    12. Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.

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