Roderick Dewar studied mathematical physics at the University of Edinburgh (BSc Hons, 1982), where he also carried out his PhD in the field of statistical mechanics and phase transitions (1983-1986). As a postdoc he continued working in this field in the Department of Theoretical Physics at Oxford University before undergoing his own phase transition to biology in 1989. Since then he has worked at the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in Edinburgh, the University of New South Wales (School of Biological Sciences) in Sydney, and the French National Institute of Agricultural Research (INRA) in Bordeaux. In 2008 he returned to Australia to take up his present position at ANU.
His current research looks at the emergent behaviour of complex biological and physical systems - whether individual organisms, ecosystems, turbulent fluids or Earth's climate system - from the common viewpoint of entropy, as the statistical outcome of a large number of underlying degrees of freedom. The main focus is on the principles of maximum entropy and maximum entropy production, and their application to biological problems across a wide range of scales - from understanding the evolutionary optimization of biologically important macromolecules to identifying the key determinants of species diversity in ecological communities.
- Maximum Entropy Production as a unifying thermodynamic principle in biology and physics
- Optimisation models of plant responses to global change
- Entropy-based approaches to studying ecological and genetic diversity.
Here's an overview of our research, which spans biology and physics, theory and applications:
- Dewar RC, Lineweaver CH, Niven RK, Regenauer-Lieb K. 2014. Beyond the second law: an overview. In Beyond The Second Law: Entropy Production and Non-equilibrium Systems (eds: Dewar RC, Lineweaver CH, Niven RK, Regenauer-Lieb K), Springer (Book Series: Understanding Complex Systems), pp. 3-27
- Dewar RC, Maritan A. 2014. A theoretical basis for maximum entropy production. In Beyond The Second Law: Entropy Production and Non-equilibrium Systems (eds: Dewar RC, Lineweaver CH, Niven RK, Regenauer-Lieb K), Springer (Book Series: Understanding Complex Systems), pp. 49-71
- Bertram J, Dewar RC. 2013. Statistical patterns in tropical tree cover explained by the different water demand of individual trees and grasses. Ecology, 94, 2138-2144
- McMurtrie RE, Dewar RC. 2013. New insights into carbon allocation by trees from the hypothesis that annual wood production is maximised. New Phytologist, DOI: 10.1111/nph.12344.
- Dewar RC, Tarvainen L, Parker K*, Wallin G, McMurtrie RE. 2012. Why does leaf nitrogen decline within tree canopies less rapidly than light? An explanation from optimization subject to a lower bound on leaf mass per area. Tree Physiology 31, 520-534.
- McMurtrie RE, Iversen CM, Dewar RC, Medlyn BE, Näsholm T, Pepper DA, Norby RJ. 2012. Plant root distributions and nitrogen uptake predicted by a hypothesis of optimal root foraging. Ecology & Evolution 2(6), 1235-1250.
- Franklin O, Johansson J, Dewar RC, Dieckmann U, McMurtrie RE, Brännström Å, Dybzinski R. 2012. Modeling carbon allocation in trees: a search for principles. Tree Physiology 32, 648-666.
- Dewar RC, Sherwin WB, Thomas E*, Holleley CE, Nichols RA. 2011. Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information. Molecular Ecology 20, 3156-3166.
- McMurtrie RE, Dewar RC. 2011. Leaf trait variation explained by the hypothesis that plants maximise their canopy carbon export over the lifespan of leaves. Tree Physiology 31, 1007-1023.
- Dewar RC. 2010. Maximum entropy production and plant optimization theories. Philosophical Transactions of the Royal Society B (Biological Sciences) 365, 1429-1435. Contribution to Theme Issue (eds. Kleidon A, Cox PM, Mahli Y): Maximum entropy production in ecological and environmental systems: applications and implications.
- Dewar RC, Franklin O, Mäkelä A, McMurtrie RE, Valentine HT. 2009. Optimal function explains forest responses to global change. BioScience 59(2), 127-139.
- Dewar RC. 2009. Maximum entropy production as an inference algorithm that translates physical assumptions into macroscopic predictions: Don’t shoot the messenger. Entropy 11, 931-944. Contribution to Special Issue (eds. Dyke J, Kleidon A): What is Maximum Entropy Production and how should we apply it?
- Magnani F, Dewar RC, Borghetti M. 2009. Leakage and spillover effects of forest management on carbon storage: theoretical insights from a simple model. Tellus B 61, 385-393.
- Dewar RC, Porté A. 2008. Statistical mechanics unifies different ecological patterns. Journal of Theoretical Biology 251, 389-403.
- McMurtrie RE, Norby RJ, Medlyn BE, Dewar RC, Pepper DA, Reich PB, Barton CVM. 2008. Why is plant growth response to CO2 amplified when water is limiting, but reduced when nitrogen is limiting? A growth-optimisation hypothesis. Functional Plant Biology 35, 521-534.
- Dewar RC, Juretić D, Županović P. 2006. The functional design of the rotary enzyme ATP synthase is consistent with maximum entropy production. Chemical Physics Letters 430, 177-182.
- Dewar RC. 2005. Maximum entropy production and the fluctuation theorem. Journal of Physics A (Mathematical and General) 38, L371-L381.
- Dewar RC. 2004. Maximum entropy production and non-equilibrium statistical mechanics. In Non-Equilibrium Thermodynamics and Entropy Production : Life, Earth and Beyond (eds. Kleidon A, Lorenz R), Springer-Verlag, pp. 41-55.
- Dewar RC. 2003. Information theoretic explanation of maximum entropy production, the fluctuation theorem and self-organized criticality in non-equilibrium stationary states. Journal of Physics A (Mathematical and General) 36, 631-641.