Fundamental insights into ontogenetic growth from theory and fish.
The fundamental features of growth may be universal, because growth trajectories of most animals are very similar, but a unified mechanistic theory of growth remains elusive. Still needed is a synthetic explanation for how and why growth rates vary as body size changes, both within individuals over their ontogeny and between populations and species over their evolution. Here, we use Bertalanffy growth equations to characterize growth of ray-finned fishes in terms of two parameters, the growth rate coefficient, K, and final body mass, m∞. We derive two alternative empirically testable hypotheses and test them by analyzing data from FishBase. Across 576 species, which vary in size at maturity by almost nine orders of magnitude, K scaled as [Formula: see text]. This supports our first hypothesis that growth rate scales as [Formula: see text] as predicted by metabolic scaling theory; it implies that species that grow to larger mature sizes grow faster as juveniles. Within fish species, however, K scaled as [Formula: see text]. This supports our second hypothesis, which predicts that growth rate scales as [Formula: see text] when all juveniles grow at the same rate. The unexpected disparity between across- and within-species scaling challenges existing theoretical interpretations. We suggest that the similar ontogenetic programs of closely related populations constrain growth to [Formula: see text] scaling, but as species diverge over evolutionary time they evolve the near-optimal [Formula: see text] scaling predicted by metabolic scaling theory. Our findings have important practical implications because fish supply essential protein in human diets, and sustainable yields from wild harvests and aquaculture depend on growth rates.
School of Biological Sciences, University of Reading, Reading, Berkshire RG6 6AS, United Kingdom; r.m.sibly@reading.ac.uk jhbrown@unm.edu.
Richard M
RM
Sibly
School of Biological Sciences, University of Reading, Reading, Berkshire RG6 6AS, United Kingdom;
Joanna
J
Baker
Biology Department, University of New Mexico, Albuquerque, NM 87131;
John M
JM
Grady
FishBase Information and Research Group, Inc. (FIN), International Rice Research Institute (IRRI), Los Baños, 4031 Laguna, Philippines;
Susan M
SM
Luna
Biology Department, University of New Mexico, Albuquerque, NM 87131;
Astrid
A
Kodric-Brown
School of Biological Sciences, University of Reading, Reading, Berkshire RG6 6AS, United Kingdom;
Chris
C
Venditti
Biology Department, University of New Mexico, Albuquerque, NM 87131; Santa Fe Institute, Santa Fe, NM 87501 r.m.sibly@reading.ac.uk jhbrown@unm.edu.
James H
JH
Brown
D000818:Animals; D005399:Fishes / Q000235:genetics / Q000254:growth & development*; D008962:Models, Theoretical
Bertalanffy growth; metabolic theory of ecology; scaling theory