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System-of-Systems hierarchy of biodiversity conservation problems

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  • Phillis, Yannis A.
  • Kouikoglou, Vassilis S.

Abstract

Many natural and man-made systems influence the well-being and sustainability of a country. The state of biodiversity, water, air, and land are examples of the former whereas health, education, economy, and policies are examples of the latter. These systems are extremely involved and hard to model. To overcome some of the difficulties a System-of-Systems (SoS) approach is adopted. This paper models biodiversity as a SoS at various levels of organization, and each level is in turn modeled according to existing knowledge pertaining to that level. The goal is to devise strategies that improve and ultimately maximize biodiversity for a given region or country. These strategies entail certain constraints such as limited budgets. Such problems should be formulated as optimal control or adaptive control problems, wherein the strategies span all possible uncertainties to bring biodiversity within target regions. Various adaptive policies could then be designed to account for missing intermediate targets so as to improve sustainable biodiversity in a country.

Suggested Citation

  • Phillis, Yannis A. & Kouikoglou, Vassilis S., 2012. "System-of-Systems hierarchy of biodiversity conservation problems," Ecological Modelling, Elsevier, vol. 235, pages 36-48.
    • Handle: RePEc:eee:ecomod:v:235-236:y:2012:i::p:36-48
    DOI: 10.1016/j.ecolmodel.2012.03.032
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    References listed on IDEAS

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    1. Dan DeLaurentis & Robert K. “CAB” Callaway, 2004. "A System‐of‐Systems Perspective for Public Policy Decisions," Review of Policy Research, Policy Studies Organization, vol. 21(6), pages 829-837, November.
    2. Josie Carwardine & Kerrie A Wilson & Matt Watts & Andres Etter & Carissa J Klein & Hugh P Possingham, 2008. "Avoiding Costly Conservation Mistakes: The Importance of Defining Actions and Costs in Spatial Priority Setting," PLOS ONE, Public Library of Science, vol. 3(7), pages 1-6, July.
    3. Phillis, Yannis A. & Andriantiatsaholiniaina, Luc A., 2001. "Sustainability: an ill-defined concept and its assessment using fuzzy logic," Ecological Economics, Elsevier, vol. 37(3), pages 435-456, June.
    4. Gowdy, John M. & McDaniel, Carl N., 1995. "One world, one experiment: addressing the biodiversity--economics conflict," Ecological Economics, Elsevier, vol. 15(3), pages 181-192, December.
    5. Daniel A. DeLaurentis & Sricharan Ayyalasomayajula, 2009. "Exploring the Synergy Between Industrial Ecology and System of Systems to Understand Complexity," Journal of Industrial Ecology, Yale University, vol. 13(2), pages 247-263, April.
    6. Kerrie A. Wilson & Marissa F. McBride & Michael Bode & Hugh P. Possingham, 2006. "Prioritizing global conservation efforts," Nature, Nature, vol. 440(7082), pages 337-340, March.
    7. Andriantiatsaholiniaina, Luc A. & Kouikoglou, Vassilis S. & Phillis, Yannis A., 2004. "Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis," Ecological Economics, Elsevier, vol. 48(2), pages 149-172, February.
    8. Phillis, Yannis A. & Grigoroudis, Evangelos & Kouikoglou, Vassilis S., 2011. "Sustainability ranking and improvement of countries," Ecological Economics, Elsevier, vol. 70(3), pages 542-553, January.
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    Cited by:

    1. de Rigo, Daniele, 2013. "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper 44201, University Library of Munich, Germany.

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