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projects > across trophic level system simulation (atlss) > project summary
U.S. Geological Survey, Greater Everglades Science Program: Place-Based Studies Initiative
Fiscal Year 2003 Project Summary Sheet
Starting Date: 10/01/2002 Ending Date: 12/31/2005
Web Sites: ATLSS.ORG
Location: The total system
Funding Source: USGS Place-Based Initiative Funding
Principal Investigators: Leonard Pearlstine, University of Florida, IFAS, 3205 College Avenue, Fort Lauderdale, FL 33314-7799 Phone: 954-577-6304 Fax: 954-475-4125 e-mail: email@example.com.
Other Supporting Organizations: USGS/BRD, NPS, ACE, EPA
Associated Projects: Related to ATLSS Program
Overview & Status: The ATLSS Program is supporting a collaboration with Dr. Leonard Pearlstine to take steps towards the development of a Decision Support System. This collaboration goes beyond ad-hoc policy formulation to an analytical and computer-supported platform for effective management and policy-making. Using available data to make informed decisions and recognizing research gaps to future study in a tractable manner is non-trivial. Support methodologies that help authorities involved in ecological restoration sort out all the decision variables and parameters, problem solving heuristics, and appreciate the impacts of potential policy actions is critical to successful planning and management.
Needs & Products: This project will develop a case study functioning spatial decision support system for a CERP project area using a modular architecture that allows rapid transfer of the prototype system to other project areas. The SDSS will assist managers in assessing issues and alternatives for wildlife habitat response to CERP project activities. Specific objectives in support of the goal include:
Application to Everglades Restoration: The development of a computerized DSS makes economic sense in integrated Everglades restoration efforts because of the large amount of data that must be collected and processed to produce and analyze decision alternatives, decision-making procedures that are applied to many cases within a domain or periodically repeated, many potential users, short time frames for making critical decisions, the expense of accessing top-level expertise, and the possibility of a large number of alternative decisions with significant and different implications.
U.S. Department of the Interior, U.S. Geological Survey
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Last updated: 04 September, 2013 @ 02:08 PM(KP)
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