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A new method to solve the fully connected Reserve Network Design Problem

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  • Jafari, Nahid
  • Hearne, John

Abstract

In selecting sites for conservation purposes connectivity of habitat is important for allowing species to move freely within a protected area. The aim of the Reserve Network Design Problem is to choose a network of contiguous sites which maximises some conservation objective subject to various constraints. The problem has been solved using both heuristic and exact methods. Heuristic methods can handle much larger problems than exact methods but cannot guarantee an optimal solution. Improvements in both computer power and optimisation algorithms have increased the attractiveness of exact methods. The aim of this work is to formulate an improved algorithm for solving the Reserve Network Design Problem.

Suggested Citation

  • Jafari, Nahid & Hearne, John, 2013. "A new method to solve the fully connected Reserve Network Design Problem," European Journal of Operational Research, Elsevier, vol. 231(1), pages 202-209.
    • Handle: RePEc:eee:ejores:v:231:y:2013:i:1:p:202-209
    DOI: 10.1016/j.ejor.2013.05.015
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    1. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(4), pages 691-705, August.
    2. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(1), pages 225-228, February.
    3. Memtsas, Dimitris P., 2003. "Multiobjective programming methods in the reserve selection problem," European Journal of Operational Research, Elsevier, vol. 150(3), pages 640-652, November.
    4. J. Orestes Cerdeira & Leonor S. Pinto, 2005. "Requiring Connectivity in the Set Covering Problem," Journal of Combinatorial Optimization, Springer, vol. 9(1), pages 35-47, February.
    5. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(5), pages 879-883, October.
    6. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(6), pages 1195-1198, December.
    7. Robert G. Haight & Charles S. Revelle & Stephanie A. Snyder, 2000. "An Integer Optimization Approach to a Probabilistic Reserve Site Selection Problem," Operations Research, INFORMS, vol. 48(5), pages 697-708, October.
    8. Conrad, Jon M. & Gomes, Carla P. & van Hoeve, Willem-Jan & Sabharwal, Ashish & Suter, Jordan F., 2012. "Wildlife corridors as a connected subgraph problem," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 1-18.
    9. Stephen Polasky & Jeffrey D. Camm & Brian Garber-Yonts, 2001. "Selecting Biological Reserves Cost-Effectively: An Application to Terrestrial Vertebrate Conservation in Oregon," Land Economics, University of Wisconsin Press, vol. 77(1), pages 68-78.
    10. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(2), pages 411-413, April.
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    Cited by:

    1. Önal, Hayri & Wang, Yicheng & Dissanayake, Sahan T.M. & Westervelt, James D., 2016. "Optimal design of compact and functionally contiguous conservation management areas," European Journal of Operational Research, Elsevier, vol. 251(3), pages 957-968.
    2. Haider, Zulqarnain & Charkhgard, Hadi & Kwon, Changhyun, 2018. "A robust optimization approach for solving problems in conservation planning," Ecological Modelling, Elsevier, vol. 368(C), pages 288-297.
    3. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Keep it or Leave it - the Role of Reversible Conservation Investments in Optimal Reserve Design under Climate Change," VfS Annual Conference 2022 (Basel): Big Data in Economics 264058, Verein für Socialpolitik / German Economic Association.
    4. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Optimal time series in the reserve design problem under climate change," MPRA Paper 114691, University Library of Munich, Germany.
    5. Álvarez-Miranda, Eduardo & Goycoolea, Marcos & Ljubić, Ivana & Sinnl, Markus, 2021. "The Generalized Reserve Set Covering Problem with Connectivity and Buffer Requirements," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1013-1029.
    6. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Irreversible and partly reversible investments in the optimal reserve design problem: the role of flexibility under climate change," MPRA Paper 112089, University Library of Munich, Germany.
    7. Chih-Wei Lin & Yu Hong & Weihao Tu & Jinfu Liu, 2022. "Multiperiod Dynamic Programming Algorithm for Optimizing a Nature Reserve," Sustainability, MDPI, vol. 14(6), pages 1-17, March.

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