The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dynamic Energy Budget Theory for Metabolic Organisation
Abstract
The Dynamic Energy Budget theory unifies the commonalities between organisms, as prescribed by the implications of energetics, and links different levels of biological organisation (cells, organisms and populations). The theory presents simple mechanistic rules that describe the uptake and use of energy and nutrients and the consequences for physiological organisation throughout an organism's life cycle, including the energetics of ageing and contact with toxic compounds. This new edition includes a new chapter on evolutionary aspects, and discusses methods to quantify entropy for living individuals, isotope dynamics, a mechanism behind reserve dynamics, and toxicity of complex mixtures of compounds. An updated ageing module now also applies to demand systems, new methods for parameter estimation, adaptation of substrate uptake, the use of otiliths for reconstruction of food level trajectories, the differentiated growth of body parts (such as tumours and organs) linked to their function, and many more topics.
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Citations
Cites
Gene transfer to the nucleus and the evolution of chloroplasts
Martin, W., Stoebe, B., Goremykin, V., Hansmann, S., Hasegawa, M., & Kowallik, K. V. (1998) · Nature · doi:10.1038/30234 · Cited by 772 · cited 1×
“The strong homeostasis condition is in usually accompanied by a transfer of (part of) the endosymbionts’ dna to that of host [752]; endosymbionts are now called organelles.”
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Cited by
Ågren, G. I., Wetterstedt, J. Å. M., & Billberger, M. F. K. (2012) · New Phytologist · doi:10.1111/j.1469-8137.2012.04116.x · Cited by 455
Modeling the temperature effect on the specific growth rate of phytoplankton: A review
Grimaud, G. M., Mairet, F., Sciandra, A., & Bernard, O. (2017) · Reviews in Environmental Science and Bio/Technology · doi:10.1007/s11157-017-9443-0 · Cited by 103
Venolia, C. T., Lavaud, R., Green-Gavrielidis, L. A., Thornber, C., & Humphries, A. T. (2020) · Ecological Modelling · doi:10.1016/j.ecolmodel.2020.109151 · Cited by 40
Roeben, V., Montoya-Tzschoppe, L., & Roß-Nickoll, M. (2023) · Pedobiologia · doi:10.1016/j.pedobi.2022.150847 · Cited by 13
M. Ardestani, M., Šustr, V., & Frouz, J. (2019) · Forests · doi:10.3390/f10121080 · Cited by 12
Metadata
- Authors
- Kooijman, B.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2009-10-15
- OpenAlex
- W572886679
- Cited by
- 1,153
- References
- 1
- FWCI
- 26.66
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
