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Comparison of methods for quantifying reef ecosystem services: A case study mapping services for St. Croix, USVI

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  • Yee, Susan H.
  • Dittmar, John A.
  • Oliver, Leah M.

Abstract

A key challenge in evaluating coastal and watershed management decisions is that monitoring efforts are largely focused on reef condition, yet stakeholder concerns may be more appropriately quantified by social and economic metrics. There is an urgent need for predictive models to quantitatively link ecological condition of coral reefs to provisioning of reef ecosystem goods and services. We investigated and compared a number of existing methods for quantifying ecological integrity, shoreline protection, recreational opportunities, fisheries production, and the potential for natural products discovery from reefs. Methods were applied to mapping potential ecosystem services production around St. Croix, U.S. Virgin Islands. Overall, we found that a number of different methods produced similar predictions. Furthermore, areas predicted to be high in ecological integrity also tended to be high in other ecosystem services, including the potential for recreation, natural products discovery, and fisheries production, but this result depended on the method by which ecosystem services supply was calculated. Quantitative methods linking reef condition to ecosystem goods and services can aid in highlighting the social and economic relevance of reefs, and provide essential information to more completely characterize, model, and map the trade-offs inherent in decision options.

Suggested Citation

  • Yee, Susan H. & Dittmar, John A. & Oliver, Leah M., 2014. "Comparison of methods for quantifying reef ecosystem services: A case study mapping services for St. Croix, USVI," Ecosystem Services, Elsevier, vol. 8(C), pages 1-15.
  • Handle: RePEc:eee:ecoser:v:8:y:2014:i:c:p:1-15
    DOI: 10.1016/j.ecoser.2014.01.001
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    References listed on IDEAS

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    1. Pittman, S.J. & Christensen, J.D. & Caldow, C. & Menza, C. & Monaco, M.E., 2007. "Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean," Ecological Modelling, Elsevier, vol. 204(1), pages 9-21.
    2. Crossman, Neville D. & Burkhard, Benjamin & Nedkov, Stoyan & Willemen, Louise & Petz, Katalin & Palomo, Ignacio & Drakou, Evangelia G. & Martín-Lopez, Berta & McPhearson, Timon & Boyanova, Kremena & , 2013. "A blueprint for mapping and modelling ecosystem services," Ecosystem Services, Elsevier, vol. 4(C), pages 4-14.
    3. Productivity Commission, 2003. "Industries, land use and water quality in the Great Barrier Reef Catchment," Others 0305001, University Library of Munich, Germany.
    4. Chang, Y.C. & Hong, F.W. & Lee, M.T., 2008. "A system dynamic based DSS for sustainable coral reef management in Kenting coastal zone, Taiwan," Ecological Modelling, Elsevier, vol. 211(1), pages 153-168.
    5. Brander, Luke M. & Van Beukering, Pieter & Cesar, Herman S.J., 2007. "The recreational value of coral reefs: A meta-analysis," Ecological Economics, Elsevier, vol. 63(1), pages 209-218, June.
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    Cited by:

    1. Schuhmann, Peter W. & Mahon, Robin, 2015. "The valuation of marine ecosystem goods and services in the Caribbean: A literature review and framework for future valuation efforts," Ecosystem Services, Elsevier, vol. 11(C), pages 56-66.
    2. Pascal, Nicolas & Allenbach, Michel & Brathwaite, Angelique & Burke, Lauretta & Le Port, Guillaume & Clua, Eric, 2016. "Economic valuation of coral reef ecosystem service of coastal protection: A pragmatic approach," Ecosystem Services, Elsevier, vol. 21(PA), pages 72-80.
    3. Ngoc, Quach Thi Khanh, 2019. "Assessing the value of coral reefs in the face of climate change: The evidence from Nha Trang Bay, Vietnam," Ecosystem Services, Elsevier, vol. 35(C), pages 99-108.

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