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The use of augmented loss functions for estimating dynamic energy budget parameters

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  • Lika, Konstadia
  • Augustine, Starrlight
  • Kooijman, Sebastiaan A.L.M.

Abstract

We propose an extension of a parameter-free loss function for the estimation of Dynamic Energy Budget parameters for a set of related species that is symmetric in the role of data and predictions. The extension allows that particular parameters might vary, but not by much, among species, while the degree of variation is controlled by weight coefficients. We discuss the choice of these coefficients and illustrate the application with an example of two species of catfish, with their mutual hybrids. In our simultaneous parameter estimation for this example, we could reduce the variation in a parameter, here the energy conductance, substantially with a minor effect on the goodness of fit. We selected this parameter among the ones that varied, because its value was poorly determined by the data. We discuss this example in some detail. The software for implementing this augmented loss function has been implemented in the available software DEBtool_M on Github (www.github.com/add-my-pet/DEBtool_M).

Suggested Citation

  • Lika, Konstadia & Augustine, Starrlight & Kooijman, Sebastiaan A.L.M., 2020. "The use of augmented loss functions for estimating dynamic energy budget parameters," Ecological Modelling, Elsevier, vol. 428(C).
    • Handle: RePEc:eee:ecomod:v:428:y:2020:i:c:s0304380020301824
    DOI: 10.1016/j.ecolmodel.2020.109110
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    References listed on IDEAS

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    1. Kooijman, Sebastiaan A.L.M. & Lika, Konstadia & Augustine, Starrlight & Marn, Nina & Kooi, Bob W., 2020. "The energetic basis of population growth in animal kingdom," Ecological Modelling, Elsevier, vol. 428(C).
    2. Augustine, Starrlight & Lika, Konstadia & Kooijman, Sebastiaan A.L.M., 2020. "Comparing loss functions and interval estimates for survival data," Ecological Modelling, Elsevier, vol. 430(C).
    3. Renaut, Rosemary A. & Hnetynková, Iveta & Mead, Jodi, 2010. "Regularization parameter estimation for large-scale Tikhonov regularization using a priori information," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3430-3445, December.
    4. Guillaumot, Charlène & Saucède, Thomas & Morley, Simon A. & Augustine, Starrlight & Danis, Bruno & Kooijman, Sebastiaan, 2020. "Can DEB models infer metabolic differences between intertidal and subtidal morphotypes of the Antarctic limpet Nacella concinna (Strebel, 1908)?," Ecological Modelling, Elsevier, vol. 430(C).
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    Cited by:

    1. Kooijman, Sebastiaan A.L.M., 2020. "The standard dynamic energy budget model has no plausible alternatives," Ecological Modelling, Elsevier, vol. 428(C).
    2. Matyja, Konrad, 2023. "Standard dynamic energy budget model parameter sensitivity," Ecological Modelling, Elsevier, vol. 478(C).
    3. Guillaumot, Charlène & Saucède, Thomas & Morley, Simon A. & Augustine, Starrlight & Danis, Bruno & Kooijman, Sebastiaan, 2020. "Can DEB models infer metabolic differences between intertidal and subtidal morphotypes of the Antarctic limpet Nacella concinna (Strebel, 1908)?," Ecological Modelling, Elsevier, vol. 430(C).
    4. Augustine, Starrlight & Lika, Konstadia & Kooijman, Sebastiaan A.L.M., 2020. "Comparing loss functions and interval estimates for survival data," Ecological Modelling, Elsevier, vol. 430(C).
    5. Kooijman, Sebastiaan A.L.M., 2020. "The comparative energetics of petrels and penguins," Ecological Modelling, Elsevier, vol. 427(C).

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