Temperature tolerance and energetics: a dynamic energy budget-based comparison of North Atlantic marine species

• Published in: Philosophical Transactions of the Royal Society B: Biological Sciences
• Main Authors: Freitas, Vânia, Cardoso, Joana F. M. F., Lika, Konstadia, Peck, Myron A., Campos, Joana, Kooijman, Sebastiaan A. L. M., van der Veer, Henk W.
• Format: Text
• Language: English
• Published: The Royal Society 2010
• Subjects: Articles; North Atlantic
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2981968; http://www.ncbi.nlm.nih.gov/pubmed/20921053; https://doi.org/10.1098/rstb.2010.0049

Temperature tolerance and sensitivity were examined for some North Atlantic marine species and linked to their energetics in terms of species-specific parameters described by dynamic energy budget (DEB) theory. There was a general lack of basic information on temperature tolerance and sensitivity for many species. Available data indicated that the ranges in tolerable temperatures were positively related to optimal growth temperatures. However, no clear relationships with temperature sensitivity were established and no clear differences between pelagic and demersal species were observed. The analysis was complicated by the fact that for pelagic species, experimental data were completely absent and even for well-studied species, information was incomplete and sometimes contradictory. Nevertheless, differences in life-history strategies were clearly reflected in parameter differences between related species. Two approaches were used in the estimation of DEB parameters: one based on the assumption that reserve hardly contributes to physical volume; the other does not make this assumption, but relies on body-size scaling relationships, using parameter values of a generalized animal as pseudo-data. Temperature tolerance and sensitivity seemed to be linked with the energetics of a species. In terms of growth, relatively high temperature optima, sensitivity and/or tolerance were related to lower relative assimilation rates as well as lower maintenance costs. Making the step from limited observations to underlying mechanisms is complicated and extrapolations should be carefully interpreted. Special attention should be devoted to the estimation of parameters using body-size scaling relationships predicted by the DEB theory.