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A general framework for stock dynamics of populations and built and natural environments

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  • Dirk Lauinger
  • Romain G. Billy
  • Felipe Vásquez
  • Daniel B. Müller

Abstract

Sustainable development involves a responsible management of the interactions between humans and their built and natural environment. From a physical perspective, the interactions can be characterized as stocks and flows of energy and matter within and between these spheres. Understanding the dynamics of the stocks is essential to enable their responsible management. A large number of independent disciplines study the dynamics of individual stocks with specific methods. The resulting fragmentation of methods hampers interdisciplinary learning, including the integration of more specialized discipline‐specific models into more encompassing ones. Here, we develop a general mathematical framework for dynamic stock models based on balance, intrinsic, and model‐approach equations. We use the framework to classify a variety of stock models from different disciplines and discuss their applicability. The framework provides a common language for the interdisciplinary analysis of coupled human–environment systems. This article met the requirements for a gold‐gold JIE data openness badge described at http://jie.click/badges.

Suggested Citation

  • Dirk Lauinger & Romain G. Billy & Felipe Vásquez & Daniel B. Müller, 2021. "A general framework for stock dynamics of populations and built and natural environments," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1136-1146, October.
    • Handle: RePEc:bla:inecol:v:25:y:2021:i:5:p:1136-1146
    DOI: 10.1111/jiec.13117
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    Cited by:

    1. Danyang Cheng & David M. Reiner & Fan Yang & Can Cui & Jing Meng & Yuli Shan & Yunhui Liu & Shu Tao & Dabo Guan, 2023. "Projecting future carbon emissions from cement production in developing countries," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Julien Pedneault & Guillaume Majeau‐Bettez & Stefan Pauliuk & Manuele Margni, 2022. "Sector‐specific scenarios for future stocks and flows of aluminum: An analysis based on shared socioeconomic pathways," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1728-1746, October.
    3. Fernando Aguilar Lopez & Romain G. Billy & Daniel B. Müller, 2022. "A product–component framework for modeling stock dynamics and its application for electric vehicles and lithium‐ion batteries," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1605-1615, October.

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