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Estimating realistic biological variability in Dynamic Energy Budget model parameters of a copepod

Josef Koch (UGent) and Karel De Schamphelaere (UGent)
(2018)
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Abstract
One of the biggest advantages of individual-based population models (IBMs) is the possibility to simulate biological variation among individual animals. Inter-individual variation is known to promote the ecological success of populations by making them more resilient to environmental changes and stress events. While inter-individual variation can be measured in virtually all non-clonal populations, reproducing such variation in population models accurately is not always straightforward. That is mainly because variation can be measured in apical endpoints like development time, size at a certain age or life stage, or reproduction success, but not on the underlying physiological parameters of the organism. In IBMs that make use of the Dynamic Energy Budget (DEB) theory, the development of an organism depends on 12 primary parameters, all of which potentially vary among individuals to some extent. As a rather simple way to incorporate biological variability in DEB models, in previous studies, stochasticity was added to the surface-specific assimilation rate, a DEB parameter that affects the growth, maturation, and reproduction success of an organism, by sampling it from a log-normal distribution. However, the degree of variation in this parameter has always been chosen rather arbitrary. In this study we used experimental data on the development time and brood sizes of the copepod Nitocra spinipes reared at control conditions to make realistic estimates of the variability in DEB parameters for this species. For this purpose, we developed an optimization algorithm that makes use Monte Carlo simulations.

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Citation

Please use this url to cite or link to this publication:

Chicago
Koch, Josef, and Karel De Schamphelaere. 2018. “Estimating Realistic Biological Variability in Dynamic Energy Budget Model Parameters of a Copepod.” In .
APA
Koch, J., & De Schamphelaere, K. (2018). Estimating realistic biological variability in Dynamic Energy Budget model parameters of a copepod. Presented at the 13th SETAC Europe Special Science Symposium.
Vancouver
1.
Koch J, De Schamphelaere K. Estimating realistic biological variability in Dynamic Energy Budget model parameters of a copepod. 2018.
MLA
Koch, Josef, and Karel De Schamphelaere. “Estimating Realistic Biological Variability in Dynamic Energy Budget Model Parameters of a Copepod.” 2018. Print.
@inproceedings{8625066,
  abstract     = {One of the biggest advantages of individual-based population models (IBMs) is the possibility to simulate biological variation among individual animals. Inter-individual variation is known to promote the ecological success of populations by making them more resilient to environmental changes and stress events. While inter-individual variation can be measured in virtually all non-clonal populations, reproducing such variation in population models accurately is not always straightforward. That is mainly because variation can be measured in apical endpoints like development time, size at a certain age or life stage, or reproduction success, but not on the underlying physiological parameters of the organism. In IBMs that make use of the Dynamic Energy Budget (DEB) theory, the development of an organism depends on 12 primary parameters, all of which potentially vary among individuals to some extent. As a rather simple way to incorporate biological variability in DEB models, in previous studies, stochasticity was added to the surface-specific assimilation rate, a DEB parameter that affects the growth, maturation, and reproduction success of an organism, by sampling it from a log-normal distribution. However, the degree of variation in this parameter has always been chosen rather arbitrary.
In this study we used experimental data on the development time and brood sizes of the copepod Nitocra spinipes reared at control conditions to make realistic estimates of the variability in DEB parameters for this species. For this purpose, we developed an optimization algorithm that makes use Monte Carlo simulations.},
  author       = {Koch, Josef and De Schamphelaere, Karel},
  language     = {eng},
  location     = {Brussels},
  title        = {Estimating realistic biological variability in Dynamic Energy Budget model parameters of a copepod},
  year         = {2018},
}