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Introduction to computer modeling of aquaculture pond ecosystems
Author(s) -
PIEDRAHITA R. H.
Publication year - 1988
Publication title -
aquaculture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 89
eISSN - 1365-2109
pISSN - 1355-557X
DOI - 10.1111/j.1365-2109.1988.tb00328.x
Subject(s) - aquaculture , biology , ecosystem , black box , fishery , ecosystem model , empirical modelling , sample (material) , ecology , fish <actinopterygii> , computer science , artificial intelligence , simulation , chemistry , chromatography
The application of computer modeling to the study of aquaculture ponds is reviewed. Two basic types of models are identified: empirical and mechanistic. In empirical models, the pond system is treated as a ‘black box’, and the relationship between inputs and outputs is determined by statistical analysis of data. In mechanistic models (‘internally descriptive’), processes taking place within the pond are identified and described mathematically. A framework for the development of a mechanistic model of an aquacullure pond is presented. Sample formulations for some critical variables are discussed.