Skip to main content

Advertisement

Log in

Suitability for conservation as a criterion in regional conservation network selection

  • Original Paper
  • Published:
Biodiversity and Conservation Aims and scope Submit manuscript

Abstract

The process of selecting candidate areas for inclusion in a regional conservation network should include not only delineating appropriate land units for selection and defining targets for representing features of interest, but also determining the suitability of land units for conservation purposes. We developed an explicit rating of conservation suitability by applying fuzzy-logic functions in a knowledge base to ecological condition and socio-economic attributes of land units in the interior Columbia River basin, USA. Suitability was converted to unsuitability to comprise a cost criterion in selecting regional conservation networks. When unsuitability was the sole cost criterion or was combined with land area as cost, only about one-third of the area selected was rated suitable, due to inclusion of unsuitable land to achieve representation of conservation targets (vegetation cover-type area). Selecting only from land units rated suitable produced networks that were 100% suitable, reasonably efficient, and most likely to be viable and defensible, as represented in our knowledge-based system. However, several conservation targets were not represented in these networks. The tradeoff between suitability and effectiveness in representing targets suggests that a multi-stage process should be implemented to address both attributes of candidate conservation networks. The suitability of existing conservation areas was greater than that of most alternative candidate networks, but 59% of land units containing conservation areas received a rating of unsuitable, due in part to the presence of units only partially occupied by conservation areas, in which unsuitability derived from conditions in non-conserved areas.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

KB:

Knowledge base

ECA:

Existing conservation area

ICRB:

Interior Columbia River basin

EMDS:

Ecosystem Management Decision Support

References

  • Ahamed TRN, Rao KG, Murthy JSR (2000) GIS-based fuzzy membership model for crop-land suitability analysis. Agric Syst 63:75–95

    Article  Google Scholar 

  • Andelman S, Ball I, Davis F, Stoms D (1999) Sites V 1.0: an analytical toolbox for designing ecoregional conservation portfolios. Manual prepared for The Nature Conservancy. University of California, Santa Barbara

    Google Scholar 

  • Ando A, Camm J, Polasky S, Solow A (1998) Species distributions, land values, and efficient conservation. Science 279:2126–2128

    Article  PubMed  CAS  Google Scholar 

  • Baja S, Chapman DM, Dragovich D (2002) A conceptual model for defining and assessing land management units using a fuzzy modeling approach in GIS environment. Environ Manage 29:647–661

    Article  PubMed  Google Scholar 

  • Bedward M, Pressey RL, Keith DA (1992) A new approach for selecting fully representative reserve networks: addressing efficiency, reserve design and land suitability with an iterative analysis. Biol Conserv 62:115–125

    Article  Google Scholar 

  • Bourgeron PS, Humphries HC (in revision) Evaluating the performance of ecological land classifications: Do they represent variability in patterns central to conservation goals? Biol Conserv

  • Bourgeron PS, Humphries HC, Reynolds KM (2001) Representativeness assessments. In: Jensen ME, Bourgeron PS (eds) A guidebook for integrated ecological assessments. Springer, New York

    Google Scholar 

  • Bourgeron PS, Humphries HC, Reynolds KM (to be submitted) A regional framework for evaluating the suitability of land areas for conservation. Biol Conserv

  • Braimoh AK, Pyke PLG, Stein A (2004) Land evaluation for maize based on fuzzy set and interpolation. Environ Manage 33:226–238

    Article  PubMed  Google Scholar 

  • Brooks TM, da Fonseca GAB, Rodrigues ASL (2004) Protected areas and species. Conserv Biol 18:616–618

    Article  Google Scholar 

  • Cabeza M, Moilanen A (2001) Design of reserve networks and the persistence of biodiversity. Trends Ecol Evol 16:242–248

    Article  PubMed  Google Scholar 

  • Cabeza J, Araújo MB, Wilson RJ, Thomas CD, Cowley MJR, Moilanen A (2004) Combining probabilities of occurrence with spatial reserve design. J Appl Ecol 41:252–262

    Article  Google Scholar 

  • Cowling RM, Pressey RL, Lombard AT, Desmet PG, Ellis AG (1999) From representation to persistence: requirements for a sustainable system of conservation areas in the species-rich Mediterranean-climate desert of southern Africa. Divers Distrib 5:51–71

    Article  Google Scholar 

  • Csuti B, Polansky S, Williams PH, Pressey RL, Camm JD, Kershaw M, Kiester AR, Downs B, Hamilton R, Huso M, Sahr K (1997) A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon. Biol Conserv 80:83–97

    Article  Google Scholar 

  • Dai JJ, Lorenzato S, Rocke DM (2004) A knowledge-based model of watershed assessment for sediment. Environ Modell Softw 19:423–433

    Article  Google Scholar 

  • Davidson DA, Theocharopoulos SP, Bloksma RJ (1994) A land evaluation project in Greece using GIS and based on Boolean and fuzzy set methodologies. Int J Geogr Inf Syst 8:369–384

    Article  Google Scholar 

  • Davis FW, Costello C, Stoms D (2006) Efficient conservation in a utility-maximization framework. Ecol Soc 11:33 [online] URL: http://www.ecologyandsociety.org/vol11/iss1/art33

    Google Scholar 

  • Davis FW, Stoms DM, Andelman S (1999) Systematic reserve selection in the USA: an example from the Columbia Plateau ecoregion. Parks 9:31–41

    Google Scholar 

  • Davis FW, Stoms DM, Church RL, Okin WJ, Johnson NL (1996) Selecting biodiversity management areas. In: Sierra Nevada Ecosystem Project: final report to Congress, vol II. University of California, Centers for Water and Wildland Resources, Davis, pp 1503–1528

  • Eyre FH (ed) (1980) Forest cover types of the United States and Canada. Society of American Foresters, Washington, DC

    Google Scholar 

  • Fairbanks DHK, Reyers B, van Jaarsveld AS (2001) Species and environment representation: selecting reserves for the retention of avian diversity in KwaZulu-Natal, South Africa. Biol Conserv 98:365–379

    Article  Google Scholar 

  • Fischer DT, Church RL (2005) The SITES reserve selection system: a critical review. Environ Model Assess 10:215–228

    Article  Google Scholar 

  • Gravenmier RA, Wilson AE, Steffenson JR (1997) Information system development and documentation. In: Quigley TM, Arbelbide SJ (eds) An assessment of ecosystem components in the interior Columbia Basin and portions of the Klamath and Great Basins, vol II. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR-405, Pacific Northwest Research Station, Portland, 2011–2067

    Google Scholar 

  • Groenemans R, Van Ranst E, Kerre E (1997) Fuzzy relational calculus in land evaluation. Geoderma 77:283–298

    Article  Google Scholar 

  • Hall GB, Wang F, Subaryono (1992) Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems. Environ Plan A 24:497–516

    Article  Google Scholar 

  • Hann WJ, Jones JL, Karl MG, Hessburg PF, Keane RE, Long DG, Menakis JP, McNicoll CH, Leonard SG, Gravenmier RA, Smith BG (1997) Landscape dynamics of the Basin. In: Quigley TM, Arbelbide SJ (eds) An assessment of ecosystem components in the interior Columbia Basin and portions of the Klamath and Great Basins, vol II. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR-405, Pacific Northwest Research Station, Portland, 337–1055

    Google Scholar 

  • Humphries HC, Bourgeron PS, Reynolds KM (in revision) The effect of data availability on the determination of suitability of land units for conservation using a knowledge-based system. Environ Modell Softw

  • Jensen M, Goodman I, Brewer K, Frost T, Ford G, Nesser J (1997) Biophysical environments of the basin. In: Quigley TM, Arbelbide SJ (eds) An assessment of ecosystem components in the interior Columbia basin and portions of the Klamath and Great Basins, vol I. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR-405, Pacific Northwest Research Station, Portland, 99–314

    Google Scholar 

  • Kelley C, Garson J, Aggarwal A, Sarkar S (2002) Place prioritization for biodiversity reserve network design: a comparison of the SITES and ResNet software packages for coverage and efficiency. Divers Distrib 8:297–306

    Article  Google Scholar 

  • Kollias VJ, Kalivas DP (1998) The enhancement of a commercial geographical information system (ARC-INFO) with fuzzy processing capabilities for the evaluation of land resources. Comput Electron Agr 20:79–95

    Article  Google Scholar 

  • Lombard AT, Nicholls AO, August PV (1995) Where should nature reserves be located in South Africa? A snake’s perspective. Conserv Biol 9:363–372

    Google Scholar 

  • Margules CR, Pressey RL (2000) Systematic conservation planning. Nature 405:243–253

    Article  PubMed  CAS  Google Scholar 

  • Margules CR, Pressey RL, Williams PH (2002) Representing biodiversity: data and procedures for identifying priority areas for conservation. J Biosci 27:309–326

    Article  PubMed  CAS  Google Scholar 

  • McDonnell MD, Possingham HP, Ball IR, Cousins EA (2002) Mathematical methods for spatially cohesive reserve design. Environ Model Assess 7:107–114

    Article  Google Scholar 

  • Nantel P, Bouchard A, Brouillet L, Hay S (1998) Selection of areas for protecting rare plants with integration of land use conflicts: a case study for the west coast of Newfoundland, Canada. Biol Conserv 84:223–234

    Article  Google Scholar 

  • Noss RF (1987) From plant communities to landscapes in conservation inventories: a look at The Nature Conservancy. Biol Conserv 41:11–37

    Article  Google Scholar 

  • Noss RF, Beier P, Covington WW, Grumbine RE, Lindenmayer DB, Prather JW, Schmiegelow F, Sisk TD, Vosick DJ (2006) Recommendations for integrating restoration ecology and conservation biology in ponderosa pine forests of the southwestern United States. Restor Ecol 14:4–10

    Article  Google Scholar 

  • Oetting JB, Knight AL, Knight GR (2006) Systematic reserve design as a dynamic process: F-TRAC and the Florida Forever program. Biol Conserv 128:37–46

    Article  Google Scholar 

  • Poiani KA, Richter BD, Anderson MG, Richter HE (2000) Biodiversity conservation at multiple scales: functional sites, landscapes, and networks. BioScience 50:133–46

    Article  Google Scholar 

  • Possingham H, Ball I, Andelman S (2000) Mathematical methods for identifying representative reserve networks. In: Ferson S, Burgman M (eds) Quantitative methods for conservation biology. Springer-Verlag, New York, 291–305

    Chapter  Google Scholar 

  • Pressey RL (2004) Conservation planning and biodiversity: assembling the best data for the job. Conserv Biol 18:1677–1681

    Article  Google Scholar 

  • Pressey RL, Logan VS (1994) Level of geographic subdivision and its effects on assessments of reserve coverage: a review of regional studies. Conserv Biol 8:1037–1046

    Article  Google Scholar 

  • Pressey RL, Nicholls AO (1989) Efficiency in conservation evaluation-scoring versus iterative approaches. Biol Conserv 50:199–218

    Article  Google Scholar 

  • Pressey RL, Humphries CJ, Margules CR, Vane-Wright RI, Williams PH (1993) Beyond opportunism: key principles for systematic reserve selection. Trends Ecol Evol 8:124–128

    Article  Google Scholar 

  • Pressey RL, Possingham HP, Day JR (1997) Effectiveness of alternative heuristic algorithms for identifying indicative minimum requirements for conservation reserves. Biol Conserv 80:207–219

    Article  Google Scholar 

  • Pressey RL, Possingham HP, Margules CR (1996) Optimality in reserve selection algorithms: when does it matter and how much? Biol Conserv 76:259–267

    Article  Google Scholar 

  • Pyke CR (2005) Assessing suitability for conservation action: prioritization interpond linkages for the California tiger salamander. Conserv Biol 19:492–503

    Article  Google Scholar 

  • Quigley TM, Arbelbide SJ (eds) (1997) An assessment of ecosystem components in the interior Columbia basin and portions of the Klamath and Great Basins, vol I. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR-405, Pacific Northwest Research Station, Portland

    Google Scholar 

  • Ray D, Reynolds K, Slade J, Hodge S (1998) A spatial solution to ecological site classification for British forestry using Ecosystem Management Decision Support. In: Proceedings of the third international conference on geocomputation, Bristol, September 17–19, 1998, http://www.fsl.orst.edu/emds/geocomp/geopap3.html

  • Reid MS, Bourgeron PS, Humphries HC, Jensen ME (eds) (1995) Documentation of the modeling of potential vegetation at three spatial scales using biophysical settings in the Columbia River basin assessment area. URL: http://www.icbemp.gov/science/reid_1.pdf

  • ReVelle CS, Williams JC, Boland JJ (2002) Counterpart models in facility location science and reserve selection science. Environ Model Assess 7:71–80

    Article  Google Scholar 

  • Reynolds KM (1999a) EMDS users guide (version 2.0): knowledge-based decision support for ecological assessment. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR 470, Pacific Northwest Research Station, Portland

    Google Scholar 

  • Reynolds KM (1999b) NetWeaver for EMDS version 2.0 users guide: a knowledge base development system. U.S. Department of Agriculture Forest Service General Technical Report PNW-GTR 471, Pacific Northwest Research Station, Portland

    Google Scholar 

  • Reynolds KM (2001) Using a logic framework to assess forest ecosystems sustainability. J Forest 99:26–30

    Google Scholar 

  • Reynolds KM, Hessburg PF (2005) Decision support for integrated landscape evaluation and restoration planning. For Ecol Manage 207:263–278

    Article  Google Scholar 

  • Reynolds KM, Jensen M, Andreasen J, Goodman I (2000) Knowledge-based assessment of watershed condition. Comput Electron Agr 27:315–334

    Article  Google Scholar 

  • Reynolds KM, Johnson KN, Gordon SN (2003) The science/policy interface in logic-based evaluation of forest ecosystem sustainability. Forest Policy Econ 5:433–446

    Article  Google Scholar 

  • Rodrigues ASL, Tratt R, Wheeler BD, Gaston KJ (1999) The performance of existing networks of conservation areas in representing biodiversity. P Roy Soc Lond B 266:1453–1460

    Article  Google Scholar 

  • Rouget M (2003) Measuring conservation value at fine and broad scales: implications for a diverse and fragmented region, the Agulhas Plain. Biol Conserv 112:217–232

    Article  Google Scholar 

  • Sarkar S, Pressey RL, Faith DP, Margules CR, Fuller T, Stoms DM, Moffett A, Wilson KA, Williams KJ, Williams PH, Andelman S (2006) Biodiversity conservation planning tools: present status and challenges for the future. Annu Rev Env Resour 31:123–159

    Article  Google Scholar 

  • Scott JM, Davis FW, McGhie RG, Wright RG, Groves C, Estes J (2001) Nature reserves: do they capture the full range of America’s biological diversity? Ecol Appl 11:999–1007

    Article  Google Scholar 

  • Shafer CL (2001) Inter-reserve distance. Biol Conserv 100:215–227

    Article  Google Scholar 

  • Sicat RS, Carranza EJM, Nidumolu UB (2005) Fuzzy modeling of farmers’ knowledge for land suitability. Agric Syst 83:49–75

    Article  Google Scholar 

  • Snyder SA, Tyrrell LE, Haight RG (1999) An optimizing approach to selecting Research Natural Areas in National Forests. Forest Sci 45:458–469

    Google Scholar 

  • Stewart RR, Possingham HP (2005) Efficiency, costs and trade-offs in marine reserve system design. Environl Model Assess 10:203–213

    Article  Google Scholar 

  • Stoms DM, Borchert MI, Moritz MA, Davis FW, Church RL (1998) A systematic process for selecting representative research natural areas. Nat Area J 18:338–349

    Google Scholar 

  • Stoms DM, McDonald JM, Davis FW (2002) Fuzzy assessment of land suitability for scientific research reserves. Environ Manage 29:545–558

    Article  PubMed  Google Scholar 

  • Triantafilis J, Ward WT, McBratney AB (2001) Land suitability assessment in the Namoi Valley of Australia, using a continuous model. Aust J Soil Res 39:273–290

    Article  Google Scholar 

  • USDA Forest Service (1992) Preparing for the future: Forest Service research natural areas. FS-503

  • Van Langevelde F, Schotman A, Claassen F, Sparenburg G (2000) Competing land use in the reserve site selection problem. Landscape Ecol 15:243–256

    Article  Google Scholar 

  • Van Ranst E, Tang H, Groenemans R, Sinthurahat S (1996) Application of fuzzy logic to land suitability for rubber production in peninsular Thailand. Geoderma 70:1–19

    Article  Google Scholar 

  • Van Teeffelen AJA, Cabeza M, Moilanen A (2006) Connectivity, probabilities and persistence: comparing reserve selection strategies. Biodiv Conserv 15:899–919

    Article  Google Scholar 

  • Wessels KJ, Freitag S, Van Jaarsveld AS (1999) The use of land facets as biodiversity surrogates during reserve selection at a local scale. Biol Conserv 89:21–38

    Article  Google Scholar 

  • Wessels KJ, Reyers B, Van Jaarsveld AS (2000) Incorporating land cover information into regional biodiversity assessments in South Africa. Anim Conserv 3:67–79

    Article  Google Scholar 

  • Westphal MI, Possingham HP (2003) Applying a decision-theory framework to landscape planning for biodiversity: follow-up to Watson et al. Conserv Biol 17:327–329

    Article  Google Scholar 

  • Williams PH (1998) Key sites for conservation: area-selection methods for biodiversity. In: Mace GM, Balmford A, Ginsberg JR (eds) Conservation in a changing world. Cambridge University Press, Cambridge, 269–287

    Google Scholar 

  • Williams JC, ReVelle CS, Levin SA (2004) Using mathematical optimization models to design nature reserves. Front Ecol Environ 2:98–105

    Article  Google Scholar 

  • Williams JC, ReVelle CS, Levin SA (2005) Spatial attributes and reserve design models: a review. Environ Model Assess 10:163–181

    Article  Google Scholar 

Download references

Acknowledgments

Primary funding was provided to P.S. Bourgeron and H.C. Humphries by a Science To Achieve Results grant from the U.S. Environmental Protection Agency (“Multi-scaled Assessment Methods: Prototype Development within the Interior Columbia Basin”). Additional funding to P.S. Bourgeron to complete the work and manuscript was provided by the U.S. Geological Survey Geographic Analysis and Monitoring program and the International Visiting Blaise Pascal Chair based at Ecole Normale Superieure, Paris, France. We thank Frank W. Davis for early discussions on the structure of the knowledge bases and selection algorithms.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hope C. Humphries.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Humphries, H.C., Bourgeron, P.S. & Reynolds, K.M. Suitability for conservation as a criterion in regional conservation network selection. Biodivers Conserv 17, 467–492 (2008). https://doi.org/10.1007/s10531-007-9245-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10531-007-9245-8

Keywords

Navigation