Metabolism Drives Demography in an Experimental Field Test
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Metabolism should drive demography by determining the rates of both biological work and resource demand. Long-standing "rules" for how metabolism should covary with demography permeate biology, from predicting the impacts of climate change to managing fisheries. Evidence for these rules is almost exclusively indirect and in the form of among-species comparisons, while direct evidence is exceptionally rare. In a manipulative field experiment on a sessile marine invertebrate, we created experimental populations that varied in population size (density) and metabolic rate, but not body size. We then tested key theoretical predictions regarding relationships between metabolism and demography by parameterizing population models with lifetime performance data from our field experiment. We found that populations with higher metabolisms had greater intrinsic rates of increase and lower carrying capacities, in qualitative accordance with classic theory. We also found important departures from theory-in particular, carrying capacity declined less steeply than predicted, such that energy use at equilibrium increased with metabolic rate, violating the long-standing axiom of energy equivalence. Theory holds that energy equivalence emerges because resource supply is assumed to be independent of metabolic rate. We find this assumption to be violated under real-world conditions, with potentially far-reaching consequences for the management of biological systems.
Estimating the relationship between fitness and metabolic rate: which rate should we use?.
Cameron H, Marshall D Philos Trans R Soc Lond B Biol Sci. 2024; 379(1896):20220491.
PMID: 38186283 PMC: 10772602. DOI: 10.1098/rstb.2022.0491.
Temperature and nutrition do not interact to shape the evolution of metabolic rate.
Alton L, Kutz T, Bywater C, Lombardi E, Cockerell F, Layh S Philos Trans R Soc Lond B Biol Sci. 2024; 379(1896):20220484.
PMID: 38186272 PMC: 10772606. DOI: 10.1098/rstb.2022.0484.
Marshall D, Cameron H, Loreau M ISME J. 2023; 17(12):2140-2143.
PMID: 37891425 PMC: 10689727. DOI: 10.1038/s41396-023-01543-5.
The Relevance of Time in Biological Scaling.
Glazier D Biology (Basel). 2023; 12(8).
PMID: 37626969 PMC: 10452035. DOI: 10.3390/biology12081084.
Mapping the correlations and gaps in studies of complex life histories.
Richardson E, Marshall D Ecol Evol. 2023; 13(2):e9809.
PMID: 36820248 PMC: 9937794. DOI: 10.1002/ece3.9809.