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Backup coverage models in nature reserve site selection with spatial spread risk heterogeneity

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  • Hamaide, Bertrand
  • Albers, Heidi J.
  • Busby, Gwenlyn

Abstract

Set covering and maximal covering problems are well-known integer programming models in location analysis. Such models have also been used in reserve site selection modeling. They aim at selecting sites to conserve species, sometimes reflecting a desire to group protected sites together or to separate sites. This paper uses such models but considers the case of land heterogeneity in terms of the risk of large disturbances that threaten species even within a reserve, such as fires, diseases, pests or invasive species. It removes the classical assumption of homogeneous land sites and considers both adjacency in areas with a low risk of multi-parcel disturbance and distance between sites in areas with a high risk of a large destructive event. The models are explored in a stylized data set and applied to a portion of the state of Oregon with comparison between the standard covering models in homogeneous and heterogeneous risk settings.

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  • Hamaide, Bertrand & Albers, Heidi J. & Busby, Gwenlyn, 2014. "Backup coverage models in nature reserve site selection with spatial spread risk heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 158-167.
    • Handle: RePEc:eee:soceps:v:48:y:2014:i:2:p:158-167
    DOI: 10.1016/j.seps.2014.03.003
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    1. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Keep it or Leave it - the Role of Reversible Conservation Investments in Optimal Reserve Design under Climate Change," VfS Annual Conference 2022 (Basel): Big Data in Economics 264058, Verein für Socialpolitik / German Economic Association.
    2. Oliver Schöttker & Frank Wätzold, 2022. "Climate Change and the Cost-Effective Governance Mode for Biodiversity Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 409-436, June.
    3. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Optimal time series in the reserve design problem under climate change," MPRA Paper 114691, University Library of Munich, Germany.
    4. Jacob R. Fooks & Kent D. Messer & Maik Kecinski, 2018. "A Cautionary Note on the Use of Benefit Metrics for Cost-Effective Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 985-999, December.
    5. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Irreversible and partly reversible investments in the optimal reserve design problem: the role of flexibility under climate change," MPRA Paper 112089, University Library of Munich, Germany.

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