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QUALITATIVE ECOLOGICAL MODELING SYSTEM

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
17269
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
17269
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Applied Biomathematics
100 North Country Rd. Setauket, NY 11733-1354
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: QUALITATIVE ECOLOGICAL MODELING SYSTEM
Agency: NSF
Contract: N/A
Award Amount: $49,975.00
 

Abstract:

A COMMON DILEMMA IN ECOSYSTEM MODELING IS THE COMPLEXITY OF BIOLOGICAL SYSTEMS AND THE LACK OF SUFFICIENT DATA. TRADITIONAL MODELING APPROACHES REQUIRE QUANTITATIVE DATA AND DETAILED KNOWLEDGE OF THE ECOLOGICAL SYSTEM. ALTHOUGH SUCH DATA MAY BE AVAILABLE FOR SMALL CONTROLLED SYSTEMS SUCHAS THE LABORATORY MICROCOSM, IN MOST CASES SUFFICIENT INFORMATION IS NOT AVAILABLE FOR LARGE NATURAL SYSTEMS. QUALITATIVE MODELING IS A RECENT MODELING APPROACH DEVELOPEDTO ALLEVIATE THIS PROBLEM. QUALITATIVE MODELS ENCAPSULATE MORE COMPLEX SUBMODELS BY REPLACING CONTINUOUS QUANTITATIVE VARIABLES WITH DESCRIPTIVE STATE VARIABLES AND EQUATIONS WITH "IF ... THEN" TRANSITION RULES. THIS APPROACH FOLLOWS THE RECENT DEVELOPMENT IN HIERARCHICAL ECOSYSTEMS THEORY ANDPROVIDES A COMPROMISE POSITION BETWEEN COMPLEX MODELS AND INSUFFICIENT DATA. THE USE OF QUALITATIVE MODELS IN ECOLOGYHAS BEEN LIMITED UP TO NOW AND THE SOFTWARE TOOLS FOR THE RESEARCHER HAS BEEN CONSTRAINED TO PROGRAMS IMPLEMENTED FOR SPECIFIC CASE STUDIES. IN THIS STUDY WE PROPOSE TO DEVELOP A GENERAL QUALITATIVE MODELING PROGRAM APPLICABLE TO WIDE RANGE OF ECOLOGICAL PROBLEMS. THE PROGRAM WILL BE BASED ON AN INTUITIVE GRAPHICAL INTERFACE CONFERRING THE BENEFITS OF EASY ACCESS FOR USERS WITHOUT THE SPECIALIZED PROGRAMING KNOWLEDGE.

Principal Investigator:

Scott Ferson
5167514350

Business Contact:

Small Business Information at Submission:

Applied Biomathematics
100 North Country Rd Setauket, NY 11733

EIN/Tax ID: 112596502
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No