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Sustainable Network Dynamics

Author

Listed:
  • Arnaud A. Dragicevic

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Bernard Sinclair-Desgagné

    (HEC Montréal - HEC Montréal)

Abstract

We propose a dynamic graph-theoretic model for ecosystem management as a control over networked system composed of target nodes and unmarked nodes. The network is represented by a complete graph, in which all vertices are connected by a unique edge. Target nodes are attracted by the objective function issued from the external ecosystem management. They pull the network towards the objective position, which is either non-null or stationary. The management policy is considered successful if the graph remains connected in time, that is, target nodes attain the objective and unmarked nodes stay in the convex hull. At the time of the ecosystem network transfer, the model yields an Impossibility Theorem as well as a Sustainability Criterion to maintain full connectivity of the network. The latter can be easily linked to the general definition of sustainability as ecosystem integrity preservation. At last, we identify three management rules to ensure the maintenance of connectivity in time, given the properties of the objective transposition function, the nature of connections and utility updating time-delays between the nodes Nous proposons un modèle dynamique de gestion des écosystèmes par la théorie des graphes en tant que contrôle d'un système en réseau composé de nuds cibles et de nuds non identifiés. Le réseau est représenté par un graphe complet dans lequel tous les nuds sont connectés par une arête unique. Les nuds cibles sont attirés par une fonction objectif issue d'un processus externe de gestion des écosystèmes. Ils tirent le réseau vers la position de l'objectif qui peut être non-nulle ou stationnaire. La politique de gestion est considérée réussie si le graphe reste connecté dans le temps, c'est-à-dire que les nuds cibles atteignent l'objectif et les nuds non identifiés restent dans l'enveloppe convexe. Lors de la transposition du réseau écosystémique dans le temps, le modèle génère un Théorème de l'Impossibilité ainsi qu'un Critère de Durabilité qui maintien
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Arnaud A. Dragicevic & Bernard Sinclair-Desgagné, 2012. "Sustainable Network Dynamics," Post-Print hal-01628570, HAL.
    • Handle: RePEc:hal:journl:hal-01628570
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    References listed on IDEAS

    as
    1. Smith, Martin D. & Sanchirico, James N. & Wilen, James E., 2009. "The economics of spatial-dynamic processes: Applications to renewable resources," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 104-121, January.
    2. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
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    Cited by:

    1. Dragicevic, Arnaud Z., 2020. "The economics of the Sylvo-Cynegetic equilibrium," Forest Policy and Economics, Elsevier, vol. 120(C).
    2. Arnaud Z. Dragicevic, 2019. "Market Coordination Under Non-Equilibrium Dynamics," Networks and Spatial Economics, Springer, vol. 19(3), pages 697-715, September.
    3. repec:wsi:acsxxx:v:21:y:2018:i:08:n:s0219525918500182 is not listed on IDEAS
    4. Dragicevic, Arnaud Z. & Shogren, Jason F., 2021. "Preservation Value in Socio-Ecological Systems," Ecological Modelling, Elsevier, vol. 443(C).

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    More about this item

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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