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Decision analysis for species preservation under sea-level rise

Author

Listed:
  • Linhoss, Anna C.
  • Kiker, Gregory A.
  • Aiello-Lammens, Matthew E.
  • Chu-Agor, Ma. Librada
  • Convertino, Matteo
  • Muñoz-Carpena, Rafael
  • Fischer, Richard
  • Linkov, Igor

Abstract

Sea-level rise is expected to dramatically alter low-lying coastal and intertidal areas, which provide important habitat for shoreline-dependent species. The Snowy Plover (Charadrius alexandrinus) is a threatened shorebird that relies on Florida Gulf Coast sandy beaches for nesting and breeding. Selecting a management strategy for the conservation of this species under sea-level rise is a complex task that entails the consideration of multiple streams of information, stakeholder preferences, value judgments, and uncertainty. We use a spatially explicit linked modeling process that incorporates geomorphological (SLAMM), habitat (MaxEnt), and metapopulation (RAMAS GIS) models to simulate the effect of sea-level rise on Snowy Plover populations. We then apply multi-criteria decision analysis to identify preferred management strategies for the conservation of the species. Results show that nest exclosures are the most promising conservation strategy followed by predator management, species focused beach nourishment, and no action. Uncertainty in these results remains an important concern, and a better understanding of decision-maker preferences and the Snowy Plover's life history would improve the reliability of the results. This is an innovative method for planning for sea-level rise through pairing a linked modeling system with decision analysis to provide management focused results under an inherently uncertain future.

Suggested Citation

  • Linhoss, Anna C. & Kiker, Gregory A. & Aiello-Lammens, Matthew E. & Chu-Agor, Ma. Librada & Convertino, Matteo & Muñoz-Carpena, Rafael & Fischer, Richard & Linkov, Igor, 2013. "Decision analysis for species preservation under sea-level rise," Ecological Modelling, Elsevier, vol. 263(C), pages 264-272.
    • Handle: RePEc:eee:ecomod:v:263:y:2013:i:c:p:264-272
    DOI: 10.1016/j.ecolmodel.2013.05.014
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    References listed on IDEAS

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    1. Laura Geselbracht & Kathleen Freeman & Eugene Kelly & Doria Gordon & Francis Putz, 2011. "Retrospective and prospective model simulations of sea level rise impacts on Gulf of Mexico coastal marshes and forests in Waccasassa Bay, Florida," Climatic Change, Springer, vol. 107(1), pages 35-57, July.
    2. Chu-Agor, M.L. & Muñoz-Carpena, R. & Kiker, G.A. & Aiello-Lammens, M.E. & Akçakaya, H.R. & Convertino, M. & Linkov, I., 2012. "Simulating the fate of Florida Snowy Plovers with sea-level rise: Exploring research and management priorities with a global uncertainty and sensitivity analysis perspective," Ecological Modelling, Elsevier, vol. 224(1), pages 33-47.
    3. Lahdelma, Risto & Hokkanen, Joonas & Salminen, Pekka, 1998. "SMAA - Stochastic multiobjective acceptability analysis," European Journal of Operational Research, Elsevier, vol. 106(1), pages 137-143, April.
    4. Risto Lahdelma & Pekka Salminen, 2001. "SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making," Operations Research, INFORMS, vol. 49(3), pages 444-454, June.
    5. Reed Noss, 2011. "Between the devil and the deep blue sea: Florida’s unenviable position with respect to sea level rise," Climatic Change, Springer, vol. 107(1), pages 1-16, July.
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    1. R. Pelissari & M. C. Oliveira & S. Ben Amor & A. Kandakoglu & A. L. Helleno, 2020. "SMAA methods and their applications: a literature review and future research directions," Annals of Operations Research, Springer, vol. 293(2), pages 433-493, October.
    2. Allain, Sandrine & Plumecocq, Gaël & Leenhardt, Delphine, 2017. "How Do Multi-criteria Assessments Address Landscape-level Problems? A Review of Studies and Practices," Ecological Economics, Elsevier, vol. 136(C), pages 282-295.

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