Skip to main content
Log in

The SITES reserve selection system: A critical review

  • Published:
Environmental Modeling & Assessment Aims and scope Submit manuscript

Numerous models have been put forth to help with the growing demand for the establishment of biodiversity reserves. One site selection model that has been used in several recent studies is SITES [S.J. Andelman, I. Ball, F.W. Davis and D.M. Stoms, SITES V 1.0: an analytical toolbox for designing ecoregional conservation portfolios, Unpublished manual prepared for the nature conservancy, 1999, 1–43. (available at http://www.biogeog.ucsb.edu/projects/tnc/toolbox.html)]. SITES includes two heuristic solvers: based on Greedy and Simulated Annealing. We discuss the formulation of the SITES model, present a new formulation for that problem, and solve a number of test problems optimally using off-the-shelf software. We compared our optimal results with the SITES Simulated Annealing heuristic and found that SITES frequently returns significantly suboptimal solutions. Our results add further support to the argument, started by Underhill [L.G. Underhill, Optimal and suboptimal reserve selection algorithms, Biol. Conserv. 70 (1994) 85–87], continuing through Rodrigues and Gaston [A.S.L. Rodrigues and K.J. Gaston, Optimization in reserve selection procedures – why not?, Biol. Conserv. 107 (2002) 123–129], for greater integration of optimal methods in the reserve design/selection literature.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2

Similar content being viewed by others

References

  1. S.J. Andelman, I. Ball, F.W. Davis and D.M. Stoms, SITES V 1.0: an analytical toolbox for designing ecoregional conservation portfolios, Unpublished manual prepared for the nature conservancy, 1999, 1–43. (available at http://www.biogeog.ucsb.edu/projects/tnc/toolbox.html).

  2. L.G. Underhill, Optimal and suboptimal reserve selection algorithms, Biol. Conserv. 70 (1994) 85–87.

    Article  Google Scholar 

  3. A.S.L. Rodrigues and K.J. Gaston, Optimization in reserve selection procedures – why not?, Biol. Conserv. 107 (2002) 123–129.

    Article  Google Scholar 

  4. B. Csuti, S. Polasky, P. Williams, R. Pressey, J. Camm, M. Kershaw, A. Kiester, B. Downs, R. Hamilton, M. Huso and K. Sahr, A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon, Biol. Conserv. 80 (1997) 83–97.

    Article  Google Scholar 

  5. R. Gerrard, R.L. Church, D.M. Stoms and F.W. Davis, Selecting conservation reserves using species-covering models: adapting the Arc/Info GIS, Trans. Geol. Inf. Sci. 2 (1997) 45–60.

    Google Scholar 

  6. R. Church, D. Stoms, F. Davis and B.J. Okin, Planning management activities to protect biodiversity with a GIS and an integrated optimization model, in: Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21–26, 1996 (National Center for Geographic Information and Analysis, Santa Barbara, CA, 1996) http://www.ncgia.ucsb.edu/conf/SANTA_FE_CD-ROM/main.html.

  7. R.L. Pressey and A.O. Nicholls, Efficiency in conservation evaluation: scoring versus iterative approaches, Biol. Conserv. 50 (1989) 199–218.

    Article  Google Scholar 

  8. K.D. Cocks and I.A. Baird, Using mathematical programming to address the multiple reserve selection problem: an example from the Eyre Peninsula, South Australia, Biol. Conserv. 49 (1989) 113–130.

    Article  Google Scholar 

  9. J.G. Hof and L.A. Joyce, A mixed integer linear programming approach for spatially optimizing wildlife and timber in managed forest ecosystems, For. Sci. 39 (1993) 816–834.

    Google Scholar 

  10. D. Faith, P. Walker, J. Ive and L. Belbin, Integrating conservation and forestry production: exploring trade-offs between biodiversity and production in regional land-use assessment, For. Ecol. Manage. 85 (1996) 251–260.

    Article  Google Scholar 

  11. M. Bevers, J. Hof, D.W. Uresk and G.L. Schenbeck, Spatial optimization of prairie dog colonies for black-footed ferret recovery, Oper. Res. 45 (1997) 495–507.

    Google Scholar 

  12. C. Loehle, Optimizing wildlife habitat mitigation with a habitat defragmentation algorithm, For. Ecol. Manage. 120 (1999) 245–251.

    Article  Google Scholar 

  13. H. Possingham, I. Ball and S. Andelman, Mathematical methods for identifying representative reserve networks, in: Quantitative Methods for Conservation Biology, eds. S. Ferson and M. Burgman (Springer-Verlag, Berlin Heidelberg New York, 2000) pp. 291–305.

    Chapter  Google Scholar 

  14. R.G. Haight, C.S. ReVelle and S.A. Snyder, An integer optimization approach to a probabilistic reserve site selection problem, Oper. Res. 48 (2000) 697–708.

    Article  Google Scholar 

  15. R.L. Church, R. Gerrard, A. Hollander and D.M. Stoms, Understanding the tradeoffs between site quality and species presence in reserve site selection, For. Sci. 46 (2000) 157–167.

    Google Scholar 

  16. D.J. Nalle, J.L. Arthur and J. Sessions, Designing compact and contiguous reserve networks with a hybrid heuristic algorithm, For. Sci. 48 (2002) 59–68.

    Google Scholar 

  17. D.T. Fischer and R.L. Church, Clustering and compactness in reserve site selection: an extension of the biodiversity management area selection model, For. Sci. 49 (2003) 555–565.

    Google Scholar 

  18. R.L. Pressey, H.P. Possingham and C.R. Margules, Optimality in reserve selection algorithms: when does it matter and how much?, Biol. Conserv. 76 (1996) 259–267.

    Article  Google Scholar 

  19. J.R. Prendergast, R.M. Quinn and J.H. Lawton, The gaps between theory and practice in selecting nature reserves, Conserv. Biol. 13 (1999) 484–492.

    Article  Google Scholar 

  20. R.L. Pressey and R.M. Cowling, Reserve selection algorithms and the real world, Conserv. Biol. 15 (2000) 275–277.

    Article  Google Scholar 

  21. C. Groves, L. Valutis, D. Vosick, B. Neely, K. Wheaton, J. Touval and B. Runnels, Designing a Geography of Hope: A Practitioners' Handbook for Ecoregional Conservation Planning (The Nature Conservancy, Arlington, VA, 2000).

    Google Scholar 

  22. M.W. Beck and M. Odaya, Ecoregional planning in marine environments: identifying priority sites for conservation in the northern Gulf of Mexico, Aquat. Conserv. 11 (2001) 235–242.

    Article  Google Scholar 

  23. S.J. Andelman and M.R. Willig, Alternative configurations of conservation reserves for Paraguayan bats: considerations of spatial scale, J. Soc. Conserv. Biol. 16 (2002) 1352–1363.

    Article  Google Scholar 

  24. H. Leslie, M. Ruckelshaus, I.R. Ball, S. Andelman and H.P. Possingham, Using siting algorithms in the design of marine reserve networks, Ecol. Appl. 13 (2003) S185–S198 Suppl.

    Article  Google Scholar 

  25. I.R. Ball, Mathematical applications for conservation ecology: the dynamics of tree hollows and the design of nature reserves, Ph.D. thesis, University of Adelaide, Adelaide, Australia, 2000.

  26. M.D. McDonnell, H.P. Possingham, I.R. Ball and E.A. Cousins, Mathematical methods for spatially cohesive reserve design, Environ. Model. Assess. 7 (2002) 107–114.

    Article  Google Scholar 

  27. R.L. Church and C.S. Revelle, The maximal covering location problem, Pap. Reg. Sci. Assoc. 32 (1974) 101–118.

    Article  Google Scholar 

  28. N.A. Metropolis, M. Rosenbluth, A. Rosenbluth and E. Teller, Equation of state calculations by fast computing machines, J. Chem. Phys. 21 (1953) 1087–1092.

    Article  CAS  Google Scholar 

  29. B.L. Golden and C.S. Skiscim, Using simulated annealing to solve routing and location problems, Naval Res. Logist. Q. 33 (1986) 261–279.

    Article  Google Scholar 

  30. A. Murray and R. Church, Applying simulated annealing to location-planning models, J. Heuristics 2 (1996) 31–53.

    Article  Google Scholar 

  31. D.T. Fischer, Clustering and compactness in reserve site selection: an extension of the Biodiversity Management Area Selection Model, MA thesis, Univ. of Calif. Santa Barbara, 2001, p. 48.

  32. S.H. Owen, M.S. Daskin, Strategic facility location: a review, Eur. J. Oper. Res. 111 (1998) 423–447.

    Article  Google Scholar 

  33. ILOG. ILOG CPLEX 6.5 User's Manual, Ilog Corp. Incline Village, NV, 1999.

  34. F.W. Davis, D.M. Stoms, R.L. Church, W.J. Okin and K.N. Johnson, Selecting biodiversity management areas, in: Sierra Nevada Ecosystem Project: Final Report to Congress, vol. II, Assessments and Scientific Basis for Management Options (Centers for Water and Wildlands Resources, University of California, Davis, 1996) pp. 1503–1527.

    Google Scholar 

  35. Willis Linn Jepson, The Jepson Manual: Higher Plants of California, ed. James C. Hickman (University of California Press, Berkeley, 1993) p. 1400.

    Google Scholar 

  36. W. Okin, The biodiversity management area selection model: constructing a solution approach, MA Thesis, Univ. of Calif. Santa Barbara, 1997, p. 67.

  37. J. Cohon, R.L. Church and D. Sheer, Generating multiobjective trade-offs: an algorithm for bicriterion problems, Water Resour. Res. 15 (1979) 1001–1010.

    Article  Google Scholar 

  38. R. Solanki, P.A. Appino and J.L. Cohon, Approximating the noninferior set in multiobjective linear programming problems. Eur. J. Oper. Res. 68 (1993) 356–373.

    Article  Google Scholar 

  39. Watershed Environmental, Rural resource protection project sensitive biological resources study, prepared for County of Santa Barbara Planning and Development Department, 2003.

  40. E.D. Brill, S.Y. Chang and L.D. Hopkins, Modelling to generate alternatives – the HSJ approach and an illustration using a problem in land-use planning, Manage. Sci. 28 (1982) 221–235.

    Article  Google Scholar 

Download references

Acknowledgements

During this work, Douglas Fischer was supported in part by grants from the U.S. Forest Service and the U.S. Geological Survey. We would like to acknowledge the support of the Western Ecological Research Center of the U.S. Geological Survey and thank Judd Howell and Deborah Maxwell there. The U.S. Fish and Wildlife Service has also provided support. We would also like to thank Frank Davis, David Stoms, and Chris Pyke for providing data and comments. Finally, thanks are due to both Pete Stine and Klaus Barber of the U.S. Forest Service for their help and support. The comments of Justin Williams and three anonymous reviewers were very helpful in improving this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Douglas T. Fischer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fischer, D.T., Church, R.L. The SITES reserve selection system: A critical review. Environ Model Assess 10, 215–228 (2005). https://doi.org/10.1007/s10666-005-9005-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10666-005-9005-7

Keywords

Navigation