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Preservation Value in Socio-Ecological Systems

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  • Dragicevic, Arnaud Z.
  • Shogren, Jason F.

Abstract

We develop a model that reveals the preservation value of maintaining connectivity within a socio-ecological system (SES). By means of a multiplex network, built from the layers composing the sustainability Venn diagram, we define two measures of preservation value of inter- and intra-layer connections. Most policymakers and researchers have tended to assume that all elements within an SES are unconditionally connected, which implied that dimensions of sustainable development functioned unhindered. We must instead explicitly explore how connectivity is operational. Given explicit threats to connectivity, we show under which conditions connectivity is valuable and should be preserved. This implies that policies aimed at sustainable development should focus on explicitly addressing connections and disconnections. Using numerical simulations, our results suggest that the preservation value of the SES topological structure is greatest when we secure the connectivity of inter-layer connections.

Suggested Citation

  • Dragicevic, Arnaud Z. & Shogren, Jason F., 2021. "Preservation Value in Socio-Ecological Systems," Ecological Modelling, Elsevier, vol. 443(C).
    • Handle: RePEc:eee:ecomod:v:443:y:2021:i:c:s0304380021000247
    DOI: 10.1016/j.ecolmodel.2021.109451
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    References listed on IDEAS

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    1. Dragicevic, Arnaud Z. & Sinclair-Desgagné, Bernard, 2013. "Sustainable network dynamics," Ecological Modelling, Elsevier, vol. 270(C), pages 43-53.
    2. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    3. Matthew O. Jackson & Brian W. Rogers, 2005. "The Economics of Small Worlds," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 617-627, 04/05.
    4. Bert Willems & Gijsbert Zwart, 2018. "Optimal regulation of network expansion," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 23-42, March.
    5. Mã„Ler, Karl-Gã–Ran & Li, Chuan-Zhong, 2010. "Measuring sustainability under regime shift uncertainty: a resilience pricing approach," Environment and Development Economics, Cambridge University Press, vol. 15(6), pages 707-719, December.
    6. Arnaud Z. Dragicevic, 2016. "From robustness to resilience: A network Price identity approach," Post-Print hal-01493080, HAL.
    7. Stephen R. Carpenter & Kenneth J. Arrow & Scott Barrett & Reinette Biggs & William A. Brock & Anne-Sophie Crépin & Gustav Engström & Carl Folke & Terry P. Hughes & Nils Kautsky & Chuan-Zhong Li & Geof, 2012. "General Resilience to Cope with Extreme Events," Sustainability, MDPI, vol. 4(12), pages 1-12, November.
    8. repec:wsi:acsxxx:v:21:y:2018:i:08:n:s0219525918500182 is not listed on IDEAS
    9. Robert P. Gilles & Cathleen Johnson, 2000. "original papers : Spatial social networks," Review of Economic Design, Springer;Society for Economic Design, vol. 5(3), pages 273-299.
    10. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
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