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Hierarchical governance in invasive species survey campaigns

Author

Listed:
  • Yemshanov, Denys
  • Haight, Robert G.
  • MacQuarrie, Chris J.K.
  • Simpson, Mackenzie
  • Koch, Frank H.
  • Ryan, Kathleen
  • Bullas-Appleton, Erin

Abstract

Large-scale delimiting surveys are critical for detecting pest invasions and often undertaken at different governance levels. In this study, we consider two-level hierarchical planning of surveys of harmful invasive pests including a government agency with a mandate to report the spatial extent of an invasion, and regional governments (counties) concerned about the possible threat of an outbreak. The central agency plans delimiting pest surveys across multiple administrative subdivisions. Counties could participate in these surveys if funds become available. Our goal is to find the optimal levels of cooperation between the central agency and regional governments in the form of the central agency sharing funds with regional governments in a way that benefits both it and the other entities. We propose a Stackelberg game model that finds optimal levels of collaboration between two levels of government in large-scale pest survey campaigns. We apply the model to surveillance of hemlock woolly adelgid, a harmful pest of hemlock trees in Ontario, Canada. Our solutions help anticipate the underperformance of surveys conducted by regional governments because their goals do not fully align with the central agency survey objective. The methodology can be adapted to explore governance hierarchies in other regions and political jurisdictions.

Suggested Citation

  • Yemshanov, Denys & Haight, Robert G. & MacQuarrie, Chris J.K. & Simpson, Mackenzie & Koch, Frank H. & Ryan, Kathleen & Bullas-Appleton, Erin, 2022. "Hierarchical governance in invasive species survey campaigns," Ecological Economics, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:ecolec:v:201:y:2022:i:c:s0921800922002130
    DOI: 10.1016/j.ecolecon.2022.107551
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    References listed on IDEAS

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    1. Yenipazarli, Arda, 2016. "Managing new and remanufactured products to mitigate environmental damage under emissions regulation," European Journal of Operational Research, Elsevier, vol. 249(1), pages 117-130.
    2. Janne Rämö & Olli Tahvonen, 2017. "Optimizing the Harvest Timing in Continuous Cover Forestry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 853-868, August.
    3. Christophe Diagne & Boris Leroy & Anne-Charlotte Vaissière & Rodolphe E. Gozlan & David Roiz & Ivan Jarić & Jean-Michel Salles & Corey J. A. Bradshaw & Franck Courchamp, 2021. "High and rising economic costs of biological invasions worldwide," Nature, Nature, vol. 592(7855), pages 571-576, April.
    4. Jeffrey D. Camm & Susan K. Norman & Stephen Polasky & Andrew R. Solow, 2002. "Nature Reserve Site Selection to Maximize Expected Species Covered," Operations Research, INFORMS, vol. 50(6), pages 946-955, December.
    5. Bard, Jonathan F. & Plummer, John & Claude Sourie, Jean, 2000. "A bilevel programming approach to determining tax credits for biofuel production," European Journal of Operational Research, Elsevier, vol. 120(1), pages 30-46, January.
    6. Xinmin Hu & Daniel Ralph, 2007. "Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices," Operations Research, INFORMS, vol. 55(5), pages 809-827, October.
    7. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    8. Zhai, Wenyuan & Zhao, Yingzi & Lian, Xiangru & Yang, Mingming & Lu, Fadian, 2014. "Management planning of fast-growing plantations based on a bi-level programming model," Forest Policy and Economics, Elsevier, vol. 38(C), pages 173-177.
    9. Gregory S. Amacher & Arun S. Malik & Robert G. Haight, 2006. "Reducing Social Losses from Forest Fires," Land Economics, University of Wisconsin Press, vol. 82(3), pages 367-383.
    10. Luce Brotcorne & Martine Labbé & Patrice Marcotte & Gilles Savard, 2001. "A Bilevel Model for Toll Optimization on a Multicommodity Transportation Network," Transportation Science, INFORMS, vol. 35(4), pages 345-358, November.
    Full references (including those not matched with items on IDEAS)

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