Application of decision science to resilience management in Jamaica Bay

By: , and 
Edited by: E.W. SandersonW. D. SoleckiJ.R. Waldman, and A. S. Paris

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Abstract

This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Application of decision science to resilience management in Jamaica Bay
Year Published 2016
Language English
Publisher Island Press
Publisher location Washington, D.C.
Contributing office(s) Wetland and Aquatic Research Center
Description 21 p.
Larger Work Type Book
Larger Work Title Prospects for resilience: Insights from New York City's Jamaica Bay
First page 217
Last page 237