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Application of Decision Science to Resilience Management in Jamaica Bay

  • Chapter
Prospects for Resilience

Abstract

This book highlights the growing interest in management interventions designed to enhance the resilience of social-ecological systems (SESs) such as the Jamaica Bay watershed. Effective management requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections), whether the focus is on managing biological processes or human behavior or (most likely) both. In systems characterized by many interacting components and high uncertainty, however, making even probabilistic predictions is difficult.

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Authors
  1. Mitchell J. Eaton
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  2. Angela K. Fuller
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  3. Fred A. Johnson
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  4. Matthew P. Hare
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  5. Richard C. Stedman
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Editor information

Editors and Affiliations

  1. Schofield Street, 75, 10464, Bronx, NY, USA

    Eric W. Sanderson

  2. Department of Geography, Hunter College CUNY, Park Avenue, 695, 10065, New York, NY, USA

    William D. Solecki

  3. Department of Biology, Queens College, CUNY, Carpenter Avenue, 270, 11579, Sea Cliff, NY, USA

    John R. Waldman

  4. The Science and Resilience Institute, Brooklyn College, CUNY, Carroll Street, 335, 11231, Brooklyn, NY, USA

    Adam S. Parris

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© 2016 Eric W. Sanderson, William D. Solecki, John R. Waldman, and Adam S. Parris

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Eaton, M.J., Fuller, A.K., Johnson, F.A., Hare, M.P., Stedman, R.C. (2016). Application of Decision Science to Resilience Management in Jamaica Bay. In: Sanderson, E.W., Solecki, W.D., Waldman, J.R., Parris, A.S. (eds) Prospects for Resilience. Island Press, Washington, DC. https://doi.org/10.5822/978-1-61091-734-6_10

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