Individual-based modeling of fish: Linking to physical models and water quality.

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The individual-based modeling approach for the simulating fish population and community dynamics is gaining popularity. Individual-based modeling has been used in many other fields, such as forest succession and astronomy. The popularity of the individual-based approach is partly a result of the lack of success of the more aggregate modeling approaches traditionally used for simulating fish population and community dynamics. Also, recent recognition that it is often the atypical individual that survives has fostered interest in the individual-based approach. Two general types of individual-based models are distribution and configuration. Distribution models follow the probability distributions of individual characteristics, such as ... continued below

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21 p.

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Rose, K.A. August 1, 1997.

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Description

The individual-based modeling approach for the simulating fish population and community dynamics is gaining popularity. Individual-based modeling has been used in many other fields, such as forest succession and astronomy. The popularity of the individual-based approach is partly a result of the lack of success of the more aggregate modeling approaches traditionally used for simulating fish population and community dynamics. Also, recent recognition that it is often the atypical individual that survives has fostered interest in the individual-based approach. Two general types of individual-based models are distribution and configuration. Distribution models follow the probability distributions of individual characteristics, such as length and age. Configuration models explicitly simulate each individual; the sum over individuals being the population. DeAngelis et al (1992) showed that, when distribution and configuration models were formulated from the same common pool of information, both approaches generated similar predictions. The distribution approach was more compact and general, while the configuration approach was more flexible. Simple biological changes, such as making growth rate dependent on previous days growth rates, were easy to implement in the configuration version but prevented simple analytical solution of the distribution version.

Physical Description

21 p.

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OSTI as DE97009379

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  • Conference on ecosystem modeling at Army Corp of Engineers sites, Morrilton, AR (United States), 1-3 Jul 1997

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  • Other: DE97009379
  • Report No.: CONF-9707113--1
  • Report No.: ESD--4692
  • Grant Number: AC05-96OR22464
  • DOI: 10.2172/634025 | External Link
  • Office of Scientific & Technical Information Report Number: 634025
  • Archival Resource Key: ark:/67531/metadc694906

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  • August 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Oct. 31, 2016, 4:21 p.m.

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Rose, K.A. Individual-based modeling of fish: Linking to physical models and water quality., report, August 1, 1997; Tennessee. (digital.library.unt.edu/ark:/67531/metadc694906/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.