In this section
@article{Stark:2025:10.1086/733197,
author = {Stark, KA and Clegg, T and Bernhardt, JR and Grainger, TN and Kempes, CP and Savage, V and O'Connor, MI and Pawar, S},
doi = {10.1086/733197},
journal = {Am Nat},
pages = {285--305},
title = {Toward a More Dynamic Metabolic Theory of Ecology to Predict Climate Change Effects on Biological Systems.},
url = {http://dx.doi.org/10.1086/733197},
volume = {205},
year = {2025}
}
TY - JOUR
AB - AbstractThe metabolic theory of ecology (MTE) aims to link biophysical constraints on individual metabolic rates to the emergence of patterns at the population and ecosystem scales. Because MTE links temperature's kinetic effects on individual metabolism to ecological processes at higher levels of organization, it holds great potential to mechanistically predict how complex ecological systems respond to warming and increased temperature fluctuations under climate change. To scale up from individuals to ecosystems, applications of classical MTE implicitly assume that focusing on steady-state dynamics and averaging temperature responses across individuals and populations adequately capture the dominant attributes of biological systems. However, in the context of climate change, frequent perturbations from steady state and rapid changes in thermal performance curves via plasticity and evolution are almost guaranteed. Here, we explain how some of the assumptions made when applying MTE's simplest canonical expression can lead to blind spots in understanding how temperature change affects biological systems and how this presents an opportunity for formal expansion of the theory. We review existing advances in this direction and provide a decision tree for identifying when dynamic modifications to classical MTE are needed for certain research questions. We conclude with empirical and theoretical challenges to be addressed in a more dynamic MTE for understanding biological change in an increasingly uncertain world.
AU - Stark,KA
AU - Clegg,T
AU - Bernhardt,JR
AU - Grainger,TN
AU - Kempes,CP
AU - Savage,V
AU - O'Connor,MI
AU - Pawar,S
DO - 10.1086/733197
EP - 305
PY - 2025///
SP - 285
TI - Toward a More Dynamic Metabolic Theory of Ecology to Predict Climate Change Effects on Biological Systems.
T2 - Am Nat
UR - http://dx.doi.org/10.1086/733197
UR - https://www.ncbi.nlm.nih.gov/pubmed/39965227
VL - 205
ER -
Interested in studying a PhD at the Department of Life Sciences? Find out more about postgraduate research opportunties.