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Exploring the spontaneous contribution of Claude E. Shannon to eco-evolutionary theory

Author

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  • 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 G.
  • Luhrs, Tomás Camarena
  • Miranda, Jezahel V.
  • Navarro-Cerrillo, Rafael Mª
  • Perdomo, María E.
  • Riera, Rodrigo

Abstract

This article performs an analysis of the article in which Claude E. Shannon proposed his now famous H measure of information amount, by finding that four crucial traits analyzed by Shannon in regard to the meaning of H in information theory (i.e.: (a) introduction of a constant ad hoc – k – in order to achieve a formal connection between the statistical dimension of H and a given system of measurement units; (b) redundancy measurement; (c) joint events; and (d) conditional information) have strong theoretical connections with several important and well-known ecological phenomena (i.e.: (a′) extensive measurement of ecological entropy in quasi-physical units; (b′) theoretical meaning and successional behavior of redundancy; (c′) competitive exclusion; and (d′) ecological niche resilience, respectively). This set of corresponding connections (a, b, c, d, vs. a′, b′, c′, d′) has not been reported in the literature ever before, and it is fully understandable from the ecological viewpoint, despite the fact that the proposal from Shannon is previous and fully independent in comparison with any posterior attempt to establish a connection between ecology, physics and information theory. So, in practice, Shannon was also investigating in ecology and evolutionary biology, despite he was neither an ecologist nor an evolutionary biologist. In summary, our set of results: (i) implies that Shannon was an spontaneous ecologist, or at least an unwitting founder of ecological science such that, after Shannon, every ecologist of ecosystems can thus be viewed as a sort of “computer technician of nature”; (ii) highlights the fruitfulness of thinking about natural history in interdisciplinary terms; and (iii) expands the theoretical justification for applying H as a key indicator to build reliable models that are coherent with the principles of ecology, evolutionary biology, information theory and physics.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:327:y:2016:i:c:p:57-64
    DOI: 10.1016/j.ecolmodel.2015.12.021
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    References listed on IDEAS

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    1. Rodríguez, Ricardo A. & Herrera, Ada Mª & Delgado, Juan D. & Otto, Rüdiger & Quirós, Ángel & Santander, Jacobo & Miranda, Jezahel V. & Fernández, María J. & Jiménez-Rodríguez, Antonia & Riera, Rodrigo, 2013. "Biomass-dispersal trade-off and the functional meaning of species diversity," Ecological Modelling, Elsevier, vol. 261, pages 8-18.
    2. 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.
    3. 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.
    4. Rodríguez, Ricardo A. & Herrera, Ada M. & Otto, Rüdiger & Delgado, Juan D. & Fernández-Palacios, José M. & Arévalo, José R., 2012. "Ecological state equation," Ecological Modelling, Elsevier, vol. 224(1), pages 18-24.
    5. Attaran, Mohsen, 1986. "Industrial Diversity and Economic Performance in U.S. Areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 20(2), pages 44-54, July.
    6. 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.
    7. Rodríguez, Ricardo A. & Herrera, Ada Ma. & Santander, Jacobo & Miranda, Jezahel V. & Perdomo, María E. & Quirós, Ángel & Riera, Rodrigo & Fath, Brian D., 2016. "From a stationary to a non-stationary ecological state equation: Adding a tool for ecological monitoring," Ecological Modelling, Elsevier, vol. 320(C), pages 44-51.
    8. Rodríguez, Ricardo A. & Delgado, Juan D. & Herrera, Ada Ma. & Riera, Rodrigo & Navarro, Rafael Ma. & Melián, Carlos & Dieguez, Lorenzo & Quirós, Ángel, 2013. "Effects of two traits of the ecological state equation on our understanding of species coexistence and ecosystem services," Ecological Modelling, Elsevier, vol. 265(C), pages 1-13.
    9. Tiezzi, Enzo & Pulselli, Riccardo Maria, 2008. "An entropic approach to living systems," Ecological Modelling, Elsevier, vol. 216(2), pages 229-231.
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