Impact of plant canopy structure on the transport of ecosystem entropy

Miedziejko, Ewa M.; Kędziora, Andrzej

doi:10.1016/j.ecolmodel.2014.06.013

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…In this context, entropy production and entropy production optimization (mini-/maximization) received attention, because of the principles' physics-based foundation in non-equilibrium thermodynamics and potential connection with information theory (e.g., Dewar, 2003;Koutsoyiannis, 2014). These principles appear to be useful in applications to hydrologic (e.g., Zehe et al, 2013;Ehret et al, 2014), ecohydrologic (e.g., Dewar, 2010;Miedziejko and Kedziora, 2014;del 2012), and atmospheric sciences (e.g., Paillard and Herbert, 2013), and in general to open complex nonlinear thermodynamical systems (Abe and Okuyama, 2011). The principle of entropy production optimization (EPO) states that in an open system, a dynamic equilibrium is obtained, when entropy production inside (due to e.g.…”

Section: Introductionmentioning

confidence: 99%

Optimality and inference in hydrology from entropy production considerations: synthetic hillslope numerical experiments

Kollet

2015

Preprint

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Abstract. In this study, entropy production optimization and inference principles are applied to a synthetic semi-arid hillslope in high-resolution, physics-based simulations. The results suggest that entropy or power is indeed maximized, because of the strong nonlinearity of variably saturated flow and competing processes related to soil moisture fluxes, the depletion of gradients, and the movement of a free water table. Thus, it appears that the maximum entropy production (MEP) principle may indeed be applicable to hydrologic systems. In the application to hydrologic system, the free water table constitutes an important degree of freedom in the optimization of entropy production and may also relate the theory to actual observations. In an ensuing analysis, an attempt is made to transfer the complex, "microscopic" hillslope model into a macroscopic model of reduced complexity using the MEP principle as an interference tool to obtain effective conductance coefficients and forces/gradients. The results demonstrate a new approach for the application of MEP to hydrologic systems and may form the basis for fruitful discussions and research in future.

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Section: Introductionmentioning

confidence: 99%

Optimality and inference in hydrology from entropy production considerations: synthetic hillslope numerical experiments

Kollet

2015

Preprint

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“…In this context, the entropy and energy balance received attention, because of its physics-based foundation in nonequilibrium thermodynamics and potential connection with information theory (e.g., Dewar, 2003;Koutsoyiannis, 2014). The entropy balance appears to be useful in applications to hydrologic (e.g., Zehe et al, 2013;Ehret et al, 2014), ecohydrologic (e.g., Dewar, 2010;Miedziejko and Kedziora, 2014;del Jesus et al, 2012), and atmospheric sciences (e.g., Paillard and Herbert, 2013), and in general to open complex nonlinear thermodynamic systems (Abe and Okuyama, 2011).…”

Section: Introductionmentioning

confidence: 99%

Technical note: Inference in hydrology from entropy balance considerations

Kollet¹

2016

Hydrol. Earth Syst. Sci.

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Abstract. In this study, the method of inference of macroscale thermodynamic potentials, forces, and exchange coefficients for variably saturated groundwater flow is outlined based on the entropy balance. The theoretical basis of the method of inference is the explicit calculation of the internal entropy production from microscale, thermodynamic flux-force relationships using, e.g., hyper-resolution variably saturated groundwater flow models. Emphasis is placed on the two-scale nature of the entropy balance equation that allows simultaneously incorporating movement equations at the micro-and macroscale. The method is illustrated with simple hydrologic cross sections at steady state and periodic sources/sinks at dynamic equilibrium, and provides a thermodynamic point of view of upscaling in variably saturated groundwater flow. The current limitations in the connection with observable variables and predictive capabilities are discussed, and some perspectives for future research are provided.

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Thermodynamics, ecology and evolutionary biology: A bridge over troubled water or common ground?

Skene

2017

Acta Oecologica

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Impact of plant canopy structure on the transport of ecosystem entropy

Cited by 6 publications

References 29 publications

Optimality and inference in hydrology from entropy production considerations: synthetic hillslope numerical experiments

Optimality and inference in hydrology from entropy production considerations: synthetic hillslope numerical experiments

Technical note: Inference in hydrology from entropy balance considerations

Thermodynamics, ecology and evolutionary biology: A bridge over troubled water or common ground?

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