Using a Geographical Information System (GIS) to model the density and population of fishery species

Carl Steidley, Ravinder Rawat, Ray Bachnak, Gary Jeffress, Alexey Sadovski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many salt marsh restoration and creation projects have been implemented in the Galveston Bay System during the past 20 years. Salt marshes have many valuable functions for the surrounding habitat and the animals living there. Some of these functions include physical functions such as protecting shorelines from erosion, stabilizing deposits of dredged material, dampening flood effects, trapping water-born sediments, and serving as nutrient reservoirs. Biological functions include acting as tertiary water treatment systems to rid coastal waters of contaminants, serving as nurseries for many juvenile fish and shellfish species, serving as habitat for various wildlife species, and providing plant material for the base of a detritus-based food web. Each year more marshes are being built, and yet very little information is available concerning the success of past restoration projects. In an effort to assist the Fishery Ecology Branch (FEB) of the National Marine Fisheries Service (NMFS) Galveston Laboratory monitor created marshes and obtain information concerning their success [1]. A prototype project to map and monitor these marsh habitats was undertaken. Further, a prediction model of the density and population of different fishery species in Galveston Bay was developed.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifth IASTED International Conference on Modelling, Simulation, and Optimization
Pages47-50
Number of pages4
StatePublished - Dec 1 2005
Event5th IASTED International Conference on Modelling, Simulation, and Optimization - Oranjestad, Aruba
Duration: Aug 29 2005Aug 31 2005

Publication series

NameProceedings of the IASTED International Conference on Modelling, Simulation, and Optimization
Volume2005

Other

Other5th IASTED International Conference on Modelling, Simulation, and Optimization
CountryAruba
CityOranjestad
Period8/29/058/31/05

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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    Steidley, C., Rawat, R., Bachnak, R., Jeffress, G., & Sadovski, A. (2005). Using a Geographical Information System (GIS) to model the density and population of fishery species. In Proceedings of the Fifth IASTED International Conference on Modelling, Simulation, and Optimization (pp. 47-50). (Proceedings of the IASTED International Conference on Modelling, Simulation, and Optimization; Vol. 2005).