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Decision Support Systems Research
PD/A CRSP Nineteenth Annual Administrative Report

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Research Projects
Decision Support Systems Research

MOU No. RD009B

Staff
Oregon State University, Corvallis, Oregon

John Bolte US Principal Investigator
Doug ErnstResearch Associate
Charles HillyerGraduate Assistant (USA; CRSP funded)
Trina Seibert Graduate Assistant (USA; CRSP funded)

Background

Aquaculture planners and managers must make increasingly complex decisions regarding routine operations of culture facilities, effects of such operations on the surrounding environment, and the role of aquaculture production facilities within larger farming systems. Analytical tools for decision support systems integrate knowledgeas mathematical models, expert systems, and databasesinto software systems.

CRSP research in Decision Support Systems has developed a Windows-based software package (POND©) that allows simulation modeling and economic analyses of entire pond facilities. POND© facilitates the assessment of economic and ecological impacts of alternative decisions on production and allows an increased understanding of the interrelationships that can affect production dynamics. By capturing the fundamental principles affecting pond production, coupling these with appropriate economic analyses, and presenting results in a readily understandable form, these decision support tools can improve the design, management, and analysis of production facilities.

Ninth Work Plan research in Decision Support Systems focused on improving the utility and interface of POND© software for education and extension purposes; including budget and cost capabilities; and improving POND©s ability to address scheduling and other applied pond management issues. One other aspect of this research aimed to improve the models contained within POND©, particularly as they relate to modeling population size distribution. These enhancements will likely improve the usefulness of the software in addressing the needs of both educators and pond managers and allow improved decision-making in areas related to fertilization, feeding, stocking, water use and effluent discharge, and economic optimization.

Work Plan Research

The following Ninth Work Plan investigations continued into the current reporting period:

Note: The schedules for 9DSSR2 and 9DSSR3 were modified. The revised schedules appear in the Addendum to the Ninth Work Plan. The study 9DSSR2, "Decision support systems for fish population management and scheduling in commercial pond aquaculture operations," was a collaborative project between University of Arkansas at Pine Bluff (as a sub-project administered through Subcontract No. RD010A-01) and Oregon State University.

Networking

Bolte received approximately twenty inquiries from various developing countries, requesting suggestions, strategies, and contacts for aquaculture facility planning and economic analysis of the potential for new facility development. Many of the questions were from people familiar with POND© software.

Bolte has developed contacts with Wageningen University in the Netherlands regarding development of aquaculture production models applicable to facility planning in developing countries.

Educational Outreach

Bolte uses POND© software in a class he teaches on the development and use of pond models.

Conference

PD/A CRSP Annual Meeting at Orlando, Florida, 26 January 2001. (Bolte, Ernst)

Decision Support Systems for Fish Population Management and Scheduling in Commercial Pond Aquaculture Operations

Ninth Work Plan, Decision Support Systems Research 2 (9DSSR2)
Progress Report

John Bolte, Associate Professor
Charles Hillyer, Graduate Research Assistant
Bioengineering Department
Oregon State University
Corvallis, OR

Printed as Submitted

Abstract

We report on the development of a new software tool for the analysis of fish population size distributions, focusing initially commercial catfish operations in the southeastern United States, but generalizable to other types of operations and locations. Progress has been made in two primary areas: 1) continued development of models of size distributions and their dynamics through time related to biological and management factors, and 2) software development for the decision tool deliverable from this study. Software development has focused on developing entity descriptions and resulting implementations for describing populations and population dynamics in the model. Further, interoperability with datasets used by other catfish production software, (Fish98) was developed. The resulting Catfish Inventory Management (CIM) software allows users to represent populations of catfish in any number of ponds, and simulate the population dynamics and associated variability in response to differential growth rates and harvest practices of these ponds.

Enhancing the POND Decision Support System for Economics, Education, and Extension

Ninth Work Plan, Decision Support Systems Research 3 (9DSSR3)
Progress Report

John Bolte, Associate Professor
Doug Ernst, Research Associate, Bioengineering
Charles Hillyer, Graduate Research Assistant
Trina Seibert, Graduate Research Assistant
Bioengineering Department
Oregon State University
Corvallis, OR

Printed as Submitted

Abstract

This study deals with development of decision support tools for warmwater pond aquaculture. Efforts are directed at refining the POND software. Refinements to POND discussed here include development of tutorials and user interaction enhancements to facilitate the use of POND in educational and extension environments, and the development of a shrimp growth and development model incorporated into the POND framework. A POND tutorial has been developed, addressing problems relating to fertilization and liming calculations and to simulation setup. A new set of tutorial databases have been developed to facility the use of POND in these environments. In the interest of familiarizing the user with POND, discussions of how to create new ponds, fishlots, and other database objects have been expanded. The development of a marine shrimp model in POND is complete. It was developed using the BIOE bioenergetic model built into POND, and calibrated using the results from twenty six datasets related to shrimp production in the CRSP database.


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