Individual Parameter Perturbation and Error Analysis of Fish Bioenergetics Models

Bartell, Steven M.; Breck, James E.; Gardner, Robert H.; Brenkert, Antoinette L.

doi:10.1139/f86-018

Cited by 234 publications

(204 citation statements)

References 13 publications

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“…The basics are discussed in Grimm and Railsback 2005, Chapter 9. More extensive discussions of biological applications of sensitivity analysis can be found in Bartell et al 1986 andDreschler 1998. For more general discussions, see Rose 1989, Vose 2000, and Saltelli et al 2004 reason to believe that the basic structure of her model is adequate for her purposes, but remains uncertain about the values that should be assigned to the parameters.…”

Section: ) Dtmentioning

confidence: 99%

The Robust Volterra Principle*

Weisberg¹,

Reisman²

2008

Philos. of Sci.

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Theorizing in ecology and evolution often proceeds via the construction of multiple idealized models. To determine whether a theoretical result actually depends on core features of the models and is not an artifact of simplifying assumptions, theorists have developed the technique of robustness analysis, the examination of multiple models looking for common predictions. A striking example of robustness analysis in ecology is the discovery of the Volterra Principle, which describes the effect of general biocides in predator-prey systems. This paper details the discovery of the Volterra Principle and the demonstration of its robustness. It considers the classical ecology literature on robustness and introduces two individual-based models of predation, which are used to further analyze the Volterra Principle. The paper also introduces a distinction between parameter robustness, structural robustness, and representational robustness, and demonstrates that the Volterra Principle exhibits all three kinds of robustness. Disciplines PhilosophyThis journal article is available at ScholarlyCommons: http://repository.upenn.edu/philosophy_papers/5 106The Robust Volterra Principle* Michael Weisberg and Kenneth Reisman † ‡ Theorizing in ecology and evolution often proceeds via the construction of multiple idealized models. To determine whether a theoretical result actually depends on core features of the models and is not an artifact of simplifying assumptions, theorists have developed the technique of robustness analysis, the examination of multiple models looking for common predictions. A striking example of robustness analysis in ecology is the discovery of the Volterra Principle, which describes the effect of general biocides in predator-prey systems. This paper details the discovery of the Volterra Principle and the demonstration of its robustness. It considers the classical ecology literature on robustness and introduces two individual-based models of predation, which are used to further analyze the Volterra Principle. The paper also introduces a distinction between parameter robustness, structural robustness, and representational robustness, and demonstrates that the Volterra Principle exhibits all three kinds of robustness.

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Section: ) Dtmentioning

confidence: 99%

The Robust Volterra Principle*

Weisberg¹,

Reisman²

2008

Philos. of Sci.

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“…Sensitivity analyses have demonstrated that for most species, including perch, consumption and respiration parameters are decisive for the model's output (Kitchell et al 1977;Bartell et al 1986;Horppila and Peltonen 1997). In a recent evaluation of bioenergetic models for yellow perch Perca flavescens, Bajer et al (2003) found strong evidence of deficiencies in estimates of the metabolic rate.…”

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confidence: 99%

“…In these cases, respiration might be overestimated. Because bioenergetic model outputs are very sensitive to the respiration parameters in many species (Kitchell et al 1977;Bartell et al 1986;Horppila and Peltonen 1997;Madenjian et al 2006), the resulting growth or consumption estimates may be severely flawed. The input parameter set for yellow perch listed in Hanson et al (1997) was derived from Kitchell et al (1977), who in turn based their model on the respiration measurements of Solomon and Brafield (1972) ).…”

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confidence: 99%

Respiration Rates of Eurasian Perch Perca fluviatilis and Ruffe: Lower Energy Costs in Groups

Schleuter¹,

Haertel‐Borer²,

Fischer³

et al. 2007

Trans Am Fish Soc

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Abstract.-The effect of group size on the routine metabolic rate and activity of the two shoaling percids, Eurasian perch Perca fluviatilis and ruffe Gymnocephalus cernuus, was studied by using twin-flow intermittent respirometry and time-lapse video techniques. In both species, we found a clear group effect. In isolated fish, oxygen consumption was as much as twice that in groups of eight fish, with intermediate values in groups of four fish. The routine metabolic rate was highest during twilight in both species, irrespective of group size. Eurasian perch consumed more oxygen and were more active during the day than during the night, whereas the oxygen consumption and activity of ruffe were higher during the night than during the day. With increasing group size, the differences between day and night decreased and the diel cycle was less pronounced. Individual fish may benefit from the presence of conspecifics through a calming effect that reduces their energetic costs. We advise that the social behavior of a species be more thoroughly considered when planning behavioral, growth, and respiration experiments. Because bioenergetic model parameters for many species are based on data gained from isolated fish, we conclude that without considering group size the results of bioenergetic modeling may be seriously biased.

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“…The individual perturbation method of sensitivity analysis (Kitchell et al, 1977;Bartell et al, 1986;Cui and Wootton, 1989;Liu, 1998) was used to assess the sensitivity of the output of the bioenergetics models of the variations of the parameters used. Single parameter values were changed by a constant fraction, while the other parameters remained fixed.…”

Section: Sensitivity Analysis Of the Bioenergetics Modelsmentioning

confidence: 99%