IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/y8rbt.html
   My bibliography  Save this paper

The instant and historical Preston curves: allometry quarter-power law valid for the humans

Author

Listed:
  • GANIO-MEGO, Joe

Abstract

The Preston curve has been plotted using historical GDP PC data from the Angus Maddison historical databases. Those databases have values of the human world population and corresponding GDP at PPP going from the year 0 CE to 2020 CE. By plotting the Preston curves with historical data, the typical allometric quarter-power relation between lifespan and body mass came out, where body mass was substituted by GDP PC. Then the Preston curve was plotted classically, with yearly (instant) data, and in this case, the allometric 0.15 power relation came out. The power of 0.15 is typical relation between body mass and maximal lifespan potential of many living species. It is too early to find scientific reasons for these facts, but they are worthy of further investigation.

Suggested Citation

  • GANIO-MEGO, Joe, 2022. "The instant and historical Preston curves: allometry quarter-power law valid for the humans," SocArXiv y8rbt, Center for Open Science.
    • Handle: RePEc:osf:socarx:y8rbt
    DOI: 10.31219/osf.io/y8rbt
    as

    Download full text from publisher

    File URL: https://osf.io/download/628bae7ec23534635a44acde/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/y8rbt?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jutta Bolt & Jan Luiten Zanden, 2014. "The Maddison Project: collaborative research on historical national accounts," Economic History Review, Economic History Society, vol. 67(3), pages 627-651, August.
    2. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1999. "A general model for the structure and allometry of plant vascular systems," Nature, Nature, vol. 400(6745), pages 664-667, August.
    3. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1999. "The Fourth Dimension of Life: Fractal Geometry and Allometric Scaling of Organisms," Working Papers 99-07-047, Santa Fe Institute.
    4. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. GANIO-MEGO, Joe, 2022. "Estimating the human equivalent weight by applying the quarter-power law of allometry to humanity," OSF Preprints 7eq6x, Center for Open Science.
    2. GANIO-MEGO, Joe, 2022. "Long term world human population, lifespan and GDP growth model based on the in-caput-evolution theory and its impact on the carrying capacity," OSF Preprints dm3jn, Center for Open Science.
    3. Witting, Lars, 2017. "The natural selection of metabolism and mass selects allometric transitions from prokaryotes to mammals," Theoretical Population Biology, Elsevier, vol. 117(C), pages 23-42.
    4. He, Ji-Huan & Liu, Jun-Fang, 2009. "Allometric scaling laws in biology and physics," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1836-1838.
    5. Brolly, Matthew & Woodhouse, Iain H., 2012. "A “Matchstick Model” of microwave backscatter from a forest," Ecological Modelling, Elsevier, vol. 237, pages 74-87.
    6. Dalgaard, Carl-Johan & Strulik, Holger, 2011. "Energy distribution and economic growth," Resource and Energy Economics, Elsevier, vol. 33(4), pages 782-797.
    7. Husmann, Kai & Möhring, Bernhard, 2017. "Modelling the economically viable wood in the crown of European beech trees," Forest Policy and Economics, Elsevier, vol. 78(C), pages 67-77.
    8. He, Ji-Huan, 2006. "An allometric scaling law between gray matter and white matter of cerebral cortex," Chaos, Solitons & Fractals, Elsevier, vol. 27(4), pages 864-867.
    9. Tao, Yong & Lin, Li & Wang, Hanjie & Hou, Chen, 2023. "Superlinear growth and the fossil fuel energy sustainability dilemma: Evidence from six continents," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 39-51.
    10. Chen, Yanguang, 2017. "Multi-scaling allometric analysis for urban and regional development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 673-689.
    11. Torres-Rojo, Juan Manuel & Francisco-Cruz, Carlos Alberto & Islas-Aguirre, Juan Francisco & Ramírez-Fuentes, Grodecz Alfredo & Pérez-Sosa, Leonardo, 2020. "A scale invariant model for the expansion of agricultural land and government spending on the agricultural sector," Land Use Policy, Elsevier, vol. 92(C).
    12. Peters, Ronny & Olagoke, Adewole & Berger, Uta, 2018. "A new mechanistic theory of self-thinning: Adaptive behaviour of plants explains the shape and slope of self-thinning trajectories," Ecological Modelling, Elsevier, vol. 390(C), pages 1-9.
    13. Song, Dong-Ming & Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2009. "Statistical properties of world investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2450-2460.
    14. Gavrikov, Vladimir L., 2015. "Whether respiration in trees can scale isometrically with bole surface area: A test of hypothesis," Ecological Modelling, Elsevier, vol. 312(C), pages 318-321.
    15. Christopher Watts & Nigel Gilbert, 2014. "Simulating Innovation," Books, Edward Elgar Publishing, number 13981.
    16. Liu, Chuang & Zhou, Wei-Xing & Yuan, Wei-Kang, 2010. "Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2675-2681.
    17. Calabrese, Armando & Capece, Guendalina & Costa, Roberta & Di Pillo, Francesca & Giuffrida, Stefania, 2018. "A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment," Journal of Informetrics, Elsevier, vol. 12(4), pages 1263-1281.
    18. Elif Tekin & David Hunt & Mitchell G Newberry & Van M Savage, 2016. "Do Vascular Networks Branch Optimally or Randomly across Spatial Scales?," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-28, November.
    19. Hsiehchen, David & Espinoza, Magdalena & Hsieh, Antony, 2016. "Hypoallometric scaling in international collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 188-193.
    20. Harris, Lora A. & Brush, Mark J., 2012. "Bridging the gap between empirical and mechanistic models of aquatic primary production with the metabolic theory of ecology: An example from estuarine ecosystems," Ecological Modelling, Elsevier, vol. 233(C), pages 83-89.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:y8rbt. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.