Linking scaling laws across eukaryotes.

Autor: Hatton IA; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544; i.a.hatton@gmail.com., Dobson AP; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.; Santa Fe Institute, Santa Fe, NM 87501., Storch D; Center for Theoretical Study, Charles University and the Academy of Sciences of the Czech Republic, 110 00 Praha, Czech Republic.; Department of Ecology, Faculty of Science, Charles University, 128 44 Praha, Czech Republic., Galbraith ED; ICREA (Catalan Institution for Research and Advanced Studies), 08010 Barcelona, Spain.; Department of Mathematics, Institut de Ciència i Tecnologia Ambientals (ICTA-UAB), Universitat Autonoma de Barcelona, 08193 Barcelona, Spain.; Department of Earth and Planetary Sciences, McGill University, Montreal, QC H3A 0G4, Canada., Loreau M; Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 09200 Moulis, France.
Jazyk: angličtina
Zdroj: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2019 Oct 22; Vol. 116 (43), pp. 21616-21622. Date of Electronic Publication: 2019 Oct 07.
DOI: 10.1073/pnas.1900492116
Abstrakt: Scaling laws relating body mass to species characteristics are among the most universal quantitative patterns in biology. Within major taxonomic groups, the 4 key ecological variables of metabolism, abundance, growth, and mortality are often well described by power laws with exponents near 3/4 or related to that value, a commonality often attributed to biophysical constraints on metabolism. However, metabolic scaling theories remain widely debated, and the links among the 4 variables have never been formally tested across the full domain of eukaryote life, to which prevailing theory applies. Here we present datasets of unprecedented scope to examine these 4 scaling laws across all eukaryotes and link them to test whether their combinations support theoretical expectations. We find that metabolism and abundance scale with body size in a remarkably reciprocal fashion, with exponents near ±3/4 within groups, as expected from metabolic theory, but with exponents near ±1 across all groups. This reciprocal scaling supports "energetic equivalence" across eukaryotes, which hypothesizes that the partitioning of energy in space across species does not vary significantly with body size. In contrast, growth and mortality rates scale similarly both within and across groups, with exponents of ±1/4. These findings are inconsistent with a metabolic basis for growth and mortality scaling across eukaryotes. We propose that rather than limiting growth, metabolism adjusts to the needs of growth within major groups, and that growth dynamics may offer a viable theoretical basis to biological scaling.
Competing Interests: The authors declare no competing interest.
(Copyright © 2019 the Author(s). Published by PNAS.)
Databáze: MEDLINE