The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization
Open accessAbstract
SUMMARY: Life is the most complex physical phenomenon in the Universe, manifesting an extraordinary diversity of form and function over an enormous scale from the largest animals and plants to the smallest microbes and subcellular units. Despite this many of its most fundamental and complex phenomena scale with size in a surprisingly simple fashion. For example, metabolic rate scales as the 3/4-power of mass over 27 orders of magnitude, from molecular and intracellular levels up to the largest organisms. Similarly, time-scales (such as lifespans and growth rates) and sizes (such as bacterial genome lengths,tree heights and mitochondrial densities) scale with exponents that are typically simple powers of 1/4. The universality and simplicity of these relationships suggest that fundamental universal principles underly much of the coarse-grained generic structure and organisation of living systems. We have proposed a set of principles based on the observation that almost all life is sustained by hierarchical branching networks, which we assume have invariant terminal units, are space-filling and are optimised by the process of natural selection. We show how these general constraints explain quarter power scaling and lead to a quantitative, predictive theory that captures many of the essential features of diverse biological systems. Examples considered include animal circulatory systems, plant vascular systems, growth,mitochondrial densities, and the concept of a universal molecular clock. Temperature considerations, dimensionality and the role of invariants are discussed. Criticisms and controversies associated with this approach are also addressed.
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Cites
A General Model for the Origin of Allometric Scaling Laws in Biology
West, G. B., Brown, J. H., & Enquist, B. J. (1997) · Science · doi:10.1126/science.276.5309.122 · Cited by 5,016
Self-citationEffects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
Self-citationKleiber, M. (1932) · Hilgardia · doi:10.3733/hilg.v06n11p315 · Cited by 2,222
The Fourth Dimension of Life: Fractal Geometry and Allometric Scaling of Organisms
West, G. B., Brown, J. H., & Enquist, B. J. (1999) · Science · doi:10.1126/science.284.5420.1677 · Cited by 1,718 · cited 5×
“This therefore provides a geometrical interpretation of the quarter-powers, and, in particular, a geometrical ‘derivation’ of the 3/4 exponent for basal metabolic rate (West et al., 1999a).”
BackgroundMethodInfluentialLife History Invariants: Some Explorations of Symmetry in Evolutionary Ecology
Charnov, E. L. (1993) · doi:10.1093/oso/9780198540724.001.0001 · Cited by 1,254
ENERGETICS OF FREE-RANGING MAMMALS, REPTILES, AND BIRDS
Nagy, K. A., Girard, I. A., & Brown, T. K. (1999) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.19.1.247 · Cited by 806
Re-Examination of the “3/4-Law” of Metabolism
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Linking the global carbon cycle to individual metabolism
ALLEN, A. P., GILLOOLY, J. F., & BROWN, J. H. (2005) · Functional Ecology · doi:10.1111/j.1365-2435.2005.00952.x · Cited by 579
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Cited by
Barthélemy, M. (2011) · Physics Reports · doi:10.1016/j.physrep.2010.11.002 · Cited by 2,469
Reducing energy demand: A review of issues, challenges and approaches
Sorrell, S. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.03.002 · Cited by 819
To Scale or Not to Scale: The Principles of Dose Extrapolation
Sharma, V., & McNeill, J. H. (2009) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2009.00267.x · Cited by 544
Cramer, S. L., Saha, A., Liu, J., Tadi, S., Tiziani, S., Yan, W., Triplett, K., Lamb, C., Alters, S. E., Rowlinson, S., et al. (2017) · Nature Medicine · doi:10.1038/nm.4232 · Cited by 538
Mechanistic Basis of Using Body Size and Maturation to Predict Clearance in Humans
Anderson, B. J., & Holford, N. H. G. (2009) · Drug Metabolism and Pharmacokinetics · doi:10.2133/dmpk.24.25 · Cited by 494
Metadata
- Authors
- West, G. B., & Brown, J. H.
- Venue
- Journal of Experimental Biology
- Publisher
- The Company of Biologists
- Published
- 2005-05-01
- Volume
- 208
- Issue
- 9
- Pages
- 1575-1592
- ISSN
- 0022-0949 (ISSN-L)
- 1477-9145
- OpenAlex
- W2117184765
- Cited by
- 791
- References
- 8
- FWCI
- 32.76
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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