Interactions between temperature and nutrients determine the population dynamics of primary producers
- PMID: 38235912
- DOI: 10.1111/ele.14363
Interactions between temperature and nutrients determine the population dynamics of primary producers
Abstract
Global change is rapidly and fundamentally altering many of the processes regulating the flux of energy throughout ecosystems, and although researchers now understand the effect of temperature on key rates (such as aquatic primary productivity), the theoretical foundation needed to generate forecasts of biomass dynamics and extinction risk remains underdeveloped. We develop new theory that describes the interconnected effects of nutrients and temperature on phytoplankton populations and show that the thermal response of equilibrium biomass (i.e. carrying capacity) always peaks at a lower temperature than for productivity (i.e. growth rate). This mismatch is driven by differences in the thermal responses of growth, death, and per-capita impact on the nutrient pool, making our results highly general and applicable to widely used population models beyond phytoplankton. We further show that non-equilibrium dynamics depend on the pace of environmental change relative to underlying vital rates and that populations respond to variable environments differently at high versus low temperatures due to thermal asymmetries.
Keywords: Droop model; carrying capacity; nutrient limitation; phytoplankton; population dynamics; theoretical ecology; thermal performance.
© 2024 John Wiley & Sons Ltd.
References
REFERENCES
-
- Aksnes, D. & Egge, J. (1991) A theoretical model for nutrient uptake in phytoplankton. Marine Ecology Progress Series, 70, 65-72.
-
- Amarasekare, P. (2015) Effects of temperature on consumer-resource interactions. The Journal of Animal Ecology, 84, 665-679.
-
- Amarasekare, P. & Savage, V. (2012) A framework for elucidating the temperature dependence of fitness. The American Naturalist, 179, 178-191.
-
- Bernhardt, J.R., Sunday, J.M. & O'Connor, M.I. (2018) Metabolic theory and the temperature-size rule explain the temperature dependence of population carrying capacity. The American Naturalist, 192, 687-697.
-
- Bernhardt, J.R., Sunday, J.M., Thompson, P.L. & O'Connor, M.I. (2018) Nonlinear averaging of thermal experience predicts population growth rates in a thermally variable environment. Proceedings of the Royal Society B: Biological Sciences, 285, 20181076.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
