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Thermostatistical distribution of a trophic energy proxy with analytical consequences for evolutionary ecology, species coexistence and the maximum entropy formalism

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  • Rodríguez, Ricardo A.
  • Herrera, Ada Ma.
  • Riera, Rodrigo
  • Delgado, Juan D.
  • Quirós, Ángel
  • Perdomo, María E.
  • Santander, Jacobo
  • Miranda, Jezahel V.
  • Fernández-Rodríguez, María J.
  • Jiménez-Rodríguez, Antonia
  • Fernández-Palacios, José Ma.
  • Otto, Rüdiger
  • Escudero, Carlos G.
  • Navarro-Cerrillo, Rafael Mª.

Abstract

Conventional thermodynamics and statistical mechanics deal with the study of physical systems under equilibrium conditions (EC). Internal EC at a temperature that differs from the environment temperature are sustained, in general, by some type of artificial boundaries imposed with research aims or with quotidian utility goals in many kind of domestic appliances; the typical example of academic lab is a closed system immersed in a thermal bath which keeps the temperature constant. However, the ecosystem is a far-from-EC open system. Therefore, conventional thermodynamics and statistical mechanics tend to be orthodoxly regarded as limited to explain the ecosystem functioning since, at the first glance; there seem to be several essential functional differences between it and the previously-mentioned kind of physical systems. This viewpoint averse to conventional physics is paradoxical in regard to the current ecological paradigm given the fully thermodynamic foundation of ecosystem ecology. However, additional evidence in favor of the usefulness of conventional physics to describe the ecosystem functioning have recently been published, pointing out to the possibility that the analytical approach to ecology based on our undergraduate knowledge of physics, unfortunately, could have been hastily neglected before producing its most valuable results. This paper, fully based on the above-mentioned evidence, performs an unavoidable additional step in order to complete such a proposal by showing that the Boltzmann distribution of molecular energy values can be simply and successfully adapted to model the distribution of values of a proxy for trophic energy across an increasing gradient of energy levels, in a very similar fashion to that of a standard trophic pyramid. Starting from this result and by using a balanced combination between plausible theoretical considerations and abundant empirical data, we analyze why this approach is in agreement with well-known ecological principles, at the same time that we explore the general empirical advantages and aftermaths derived from this suggestion. Finally, the article explores the usefulness of the thermo-statistical modeling of eco-kinetic energy per plot to understand those essential physical factors that: promote biological evolution, facilitate species coexistence, can explain the holes in the fossil record, and enhance our current viewpoint about the ecological meaning of entropy. In summary, this article provides simply understandable additional information that indicates, despite its far-from-EC nature, any natural ecosystem is not far away from the most orthodox principles of conventional physics.

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  • Rodríguez, Ricardo A. & Herrera, Ada Ma. & Riera, Rodrigo & Delgado, Juan D. & Quirós, Ángel & Perdomo, María E. & Santander, Jacobo & Miranda, Jezahel V. & Fernández-Rodríguez, María J. & Jiménez-Rod, 2015. "Thermostatistical distribution of a trophic energy proxy with analytical consequences for evolutionary ecology, species coexistence and the maximum entropy formalism," Ecological Modelling, Elsevier, vol. 296(C), pages 24-35.
  • Handle: RePEc:eee:ecomod:v:296:y:2015:i:c:p:24-35
    DOI: 10.1016/j.ecolmodel.2014.10.017
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    References listed on IDEAS

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    1. Riera, Rodrigo & Fath, Brian D. & Herrera, Ada M. & Rodríguez, Ricardo A., 2024. "A strategic roadmap for interdisciplinary modeling in ecology: The result of reading ‘Defining an ecological equation of state: Response to Riera et al. 2023′ (Newman et al., 2023)," Ecological Modelling, Elsevier, vol. 490(C).
    2. Rodríguez, Ricardo A. & Herrera, Ada Mª & Quirós, Ángel & Fernández-Rodríguez, María J. & Delgado, Juan D. & Jiménez-Rodríguez, Antonia & Fernández-Palacios, José Mª & Otto, Rüdiger & Escudero, Carlos, 2016. "Exploring the spontaneous contribution of Claude E. Shannon to eco-evolutionary theory," Ecological Modelling, Elsevier, vol. 327(C), pages 57-64.
    3. Rodríguez, Ricardo A. & Herrera, Ada M. & Riera, Rodrigo & Santander, Jacobo & Miranda, Jezahel V. & Quirós, Ángel & Fernández-Rodríguez, María J. & Fernández-Palacios, José M. & Otto, Rüdiger & Escud, 2015. "Distribution of species diversity values: A link between classical and quantum mechanics in ecology," Ecological Modelling, Elsevier, vol. 313(C), pages 162-180.
    4. Rodríguez, Ricardo A. & Herrera, Ada Ma. & Santander, Jacobo & Miranda, Jezahel V. & Fernández-Rodríguez, María J. & Quirós, Ángel & Riera, Rodrigo & Fernández-Palacios, José Mª. & Otto, Rüdiger & Esc, 2015. "Uncertainty principle in niche assessment: A solution to the dilemma redundancy vs. competitive exclusion, and some analytical consequences," Ecological Modelling, Elsevier, vol. 316(C), pages 87-110.
    5. Riera, Rodrigo & Fath, Brian D. & Herrera, Ada M. & Rodríguez, Ricardo A., 2023. "Concerns regarding the proposal for an ecological equation of state: an assessment starting from the organic biophysics of ecosystems (OBEC)," Ecological Modelling, Elsevier, vol. 484(C).
    6. Rodríguez, Ricardo A. & Duncan, Janelle & Riera, Rodrigo & Delgado, Juan D. & Quirós, Angel & Vanni, Michael J. & Camarena, Tomás & Miranda, Jezahel V. & Perdomo, María E. & Herrera, Ada M. & González, 2017. "Thermostatistical distribution of a trophic energy proxy: Extension for modelling energy pyramids at the inter-taxocene scale and under non-stationary conditions," Ecological Modelling, Elsevier, vol. 361(C), pages 113-121.
    7. Rodríguez, Ricardo A. & Duncan, Janelle M. & Delgado, Juan D. & Vanni, Michael J. & Riera, Rodrigo & Herrera, Ada M. & González, María J., 2017. "Assessment of ecosystem trophodynamic power: A model based on the power equation for an oscillating string," Ecological Modelling, Elsevier, vol. 362(C), pages 80-86.
    8. Rodríguez, Ricardo A. & Riera, Rodrigo & Herrera, Ada M. & Duncan, Janelle M. & Vanni, Michael J. & Delgado, Juan D. & González, María J., 2019. "Degrees of freedom: Definitions and their minimum and most meaningful combination for the modelling of ecosystem dynamics with the help of physical principles," Ecological Modelling, Elsevier, vol. 392(C), pages 226-235.

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