Details

Autor(en) / Beteiligte

• Lika, Konstadia
• Kearney, Michael R.
• Freitas, Vânia
• van der Veer, Henk W.
• van der Meer, Jaap
• Wijsman, Johannes W.M.
• Pecquerie, Laure
• Kooijman, Sebastiaan A.L.M.

Titel

The “covariation method” for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach

Ist Teil von

• Journal of sea research, 2011-11, Vol.66 (4), p.270-277

Ort / Verlag

Oxford: Elsevier B.V

Erscheinungsjahr

2011

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• The Dynamic Energy Budget (DEB) theory for metabolic organisation captures the processes of development, growth, maintenance, reproduction and ageing for any kind of organism throughout its life-cycle. However, the application of DEB theory is challenging because the state variables and parameters are abstract quantities that are not directly observable. We here present a new approach of parameter estimation, the covariation method, that permits all parameters of the standard Dynamic Energy Budget (DEB) model to be estimated from standard empirical datasets. Parameter estimates are based on the simultaneous minimization of a weighted sum of squared deviations between a number of data sets and model predictions or the minimisation of the negative log likelihood function, both in a single-step procedure. The structure of DEB theory permits the unusual situation of using single data-points (such as the maximum reproduction rate), which we call “zero-variate” data, for estimating parameters. We also introduce the concept of “pseudo-data”, exploiting the rules for the covariation of parameter values among species that are implied by the standard DEB model. This allows us to introduce the concept of a generalised animal, which has specified parameter values. We here outline the philosophy behind the approach and its technical implementation. In a companion paper, we assess the behaviour of the estimation procedure and present preliminary findings of emerging patterns in parameter values across diverse taxa. ► We developed a new method for parameter estimation: the “covariation method”. ► The method estimates all DEB parameters from standard empirical datasets. ► The covariation method allows comparison of species on the basis of parameter values.