Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/106272
Title: Assessment of ecosystem trophodynamic power: A model based on the power equation for an oscillating string
Authors: Rodríguez, R.A.
Duncan, J.M.
Delgado, J.D.
Vanni, M.J.
Riera, Rodrigo 
Herrera, A.M.
González, M.J.
UNESCO Clasification: 24 Ciencias de la vida
2404 Biomatemáticas
Keywords: Ecological state equation
Eco-kinetic energy
Ecosystem ecology
Interdisciplinary models
Organic biophysics of ecosystems (OBEC), et al
Issue Date: 2017
Journal: Ecological Modelling 
Abstract: The emergence of organic biophysics of ecosystems (OBEC: an interdisciplinary approach supported bythirteen previous articles in order to get a non-contingent explanation of ecosystem dynamics) may closethe gap between the foundation of ecosystem ecology in classical thermodynamics and the paradoxicalfact that conventional thermostatistics is currently regarded as useless to explain ecosystem functioning.The measurement of eco-kinetic energy (Eep) was the first step of OBEC. However, Eepassesses trophicenergy as a stock rather than a flow. In order to normalize the above-mentioned situation, this articleproposes a model to assess the average trophodynamic power (Pt ,avg: flow of eco-kinetic energy perspace-time unit) of ecosystems by extrapolating the equation of average power for an oscillating string.With such a goal, we quantified the power associated to oscillations of the difference between the stan-dardized values of species richness and evenness per value class of several species diversity distributions.In order to validate if Pt,avghas a reliable meaning, Pt,avgwas correlated with a wide spectrum of bioticand abiotic environmental factors, every of them with a well-known independent meaning. We hereinuse field data from three databases (inland water zooplankton, leaf litter invertebrates, and ruderal veg-etation) to test the reliability of this model. Our results showed that Pt,avgis correlated in a significantway, either positively or negatively, with important environmental factors. As a result, it is feasible touse the proposed equation as a reliable tool to measure the intensity of eco-kinetic energy flow understationary and non-stationary conditions. This proposal has advantages in comparison with conventionalmethods (e.g.: standing biomass, carbon fixation), and it is useful for monitoring anthropogenic impactson ecosystem metabolism.
URI: http://hdl.handle.net/10553/106272
ISSN: 0304-3800
DOI: 10.1016/j.ecolmodel.2017.08.019
Source: Ecological modelling [ISSN 0304-3800], v. 362, p. 80-86
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