A Systematic Framework for Spatial Conservation Planning and Ecological Priority Design: An Example from St. Lucia, Eastern Caribbean

  • Jeffrey S. Evans
  • Steven R. Schill
  • George T. Raber
Chapter

Abstract

Rare and endangered species attract attention everywhere; this is certainly true within the Western world. During any inventory work at the stations, questions about rare and endangered species come up quickly. It is a very popular topic and many individuals and organizations are interested in trying to save and study these species, or at least to claim doing so in public. It must be seen as a phenomenon why this topic ranks so high on the agenda for the public, in the commercial media, and with many conservationists and students? Perhaps rare species are indicative of how we as a society, perceive, interact with, and understand nature?

Keywords

Conservation Precautionary principle Species lists Opportunistic sightings Endangered species 

References

  1. Anderson MG, Ferree CE (2010) Conserving the stage: climate change and the geophysical underpinnings of species diversity. PLoS ONE 5(7):e11554PubMedCentralPubMedCrossRefGoogle Scholar
  2. Araújo MB, Williams PH, Turner A (2002) A sequential approach to minimize threats within selected conservation areas. Biodivers Conserv 11:1011–1024CrossRefGoogle Scholar
  3. Ardron JA, Possingham HP, Klein CJ (2008) Marxan good practices handbook. Pacific Marine Analysis and Research Association, VancouverGoogle Scholar
  4. Baldwin K, Oxenford HA (2014) A participatory approach to marine habitat mapping in the Grenadine Islands. Coast Manage 42(1):36–58CrossRefGoogle Scholar
  5. Ball IR, Possingham HP, Watts M (2009) Marxan and relatives: software for spatial conservation prioritisation. In: Moilanen A., Wilson KA, Possingham HP (eds) Spatial conservation prioritisation: quantitative methods and computational tools. Oxford University Press, Oxford, pp 185–195Google Scholar
  6. Ban NC, Mills M, Tam J, Hicks CC, Klain S, Stoeckl N et al (2013) A social-ecological approach to conservation planning: embedding social considerations. Front Ecol Environ 11:194–202CrossRefGoogle Scholar
  7. Beier P, Brost B (2010) Use of land facets to plan for climate change: conserving the arenas, not the actors. Conserv Biol 24:701–710PubMedCrossRefGoogle Scholar
  8. Burke L, Reytar K, Spalding M, Perry M (2011) Reefs at risk revisited. World Resources Institute, Washington D.C.Google Scholar
  9. Butchart SHM et al (2010) Global biodiversity: indicators of recent declines. Science 328(5982):1164–68PubMedCrossRefGoogle Scholar
  10. Carwardine J et al (2007) Conservation planning with irreplaceability: does the method matter? Biodivers Conserv 16(1):245–258CrossRefGoogle Scholar
  11. Cook RR, Auster PJ (2005) Use of simulated annealing for identifying essential fish habitat in a multispecies context. Conserv Biol 19(3):876–886CrossRefGoogle Scholar
  12. Copeland HE, Doherty KE, Naugle DE, Pocewicz A, Kiesecker JM (2009) Mapping oil and development potential in the US intermountain west and estimating impacts to species. PLoS ONE 4(10):e7400. doi:10.1371/journal.pone.0007400PubMedCentralPubMedCrossRefGoogle Scholar
  13. Crookston NL, Finley AO (2007) YaImpute: an R package for k-NN Imputation. J Stat Softw 23(10):1–16Google Scholar
  14. Cressie NA (1993) Statistics for spatial data. Wiley, New YorkGoogle Scholar
  15. Cressie NA (1996) Change of support and the modifiable areal unit problem. Geogr Syst 3(2–3):159–180Google Scholar
  16. Daltry JC (2009) Biodiversity assessment of Saint Lucia’s forests, with management recommendations. Technical Report No. 10 to the National Forest Demarcation and Bio-Physical Resource Inventory Project, FCG International Ltd, Helsinki, FinlandGoogle Scholar
  17. Dudley N, Parish J (2006) Closing the gap. Creating ecologically representative protected area systems: a guide to conducting the GAP assessments of protected area systems for the convention on biological diversity. Technical series. No. 24.Google Scholar
  18. Ervin J, Parrish J (2006) Toward a framework for conducting ecoregional threats assessments. In: Aguirre-Bravo C, Pellicane J, Burns P, Draggan S (eds) Monitoring science and technology symposium: unifying knowledge for sustainability in the western hemisphere proceedings. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, pp 105–112Google Scholar
  19. ESRI (2014) ArcGIS desktop: release 10.2. Redlands, CA: Environmental Systems Research Institute.Google Scholar
  20. Evans JS, Kiesecker JM (2014) Shale gas, wind and water: assessing the potential cumulative impacts of energy development on ecosystem services within the marcellus play. PLoS ONE 9(2):e89210. doi:10.1371/journal.pone.0089210PubMedCentralPubMedCrossRefGoogle Scholar
  21. Ferrier S, Pressey RL, Barrett TW (2000) A new predictor of the irreplaceability of areas for achieving a conservation goal, its application to real-world planning, and a research agenda for further refinement. Biol Conserv 93(3):303–325Google Scholar
  22. Fitzsimons J, Heiner M, McKenney B, Sochi K, Kiesecker JM (2014) Development by design in western Australia: overcoming offset obstacles. Land 3:167–187CrossRefGoogle Scholar
  23. Game ET et al (2008) Planning for persistence in marine reserves: a question of catastrophic importance. Ecol Appl 18(3):670–680PubMedCrossRefGoogle Scholar
  24. Haffey D (2009) OECS protected area and associated livelihoods project: a systems plan for protected areas in Saint Lucia. Castries, Saint Lucia, p 105Google Scholar
  25. Haight RG, Snyyder SA (2009) Integer programming methods for reserve selection and design. In: Moilanen A., Wilson KA, Possingham HP (eds) Spatial conservation prioritisation: quantitative methods and computational tools. Oxford University Press, OxfordGoogle Scholar
  26. Heiner M, Davaa G, Kiesecker JM, McKenney B, Evans JS et al (2011) Identifying conservation priorities in the face of future development: applying development by design in the grasslands of Mongolia. Then nature conservancy, Arlington, VA, report to the Mongolia Ministry of Nature, Environment and Tourism, p 62Google Scholar
  27. Holt D, Steel D, Tranmer M, Wrigley N (1996) Aggregation and ecological effects in geographically based data. Geogr Anal 28(3):244–261CrossRefGoogle Scholar
  28. International Energy Agency (2009) World energy outlook. International energy website. http://www.worldenergyoutlook.org/media/weowebsite/2009/weo2009_es_english.pdf. Accessed 2013 May 15
  29. Kareiva P, Marvier M (2010) Conservation science: balancing the needs of people and nature. Roberts & Company, Greenwood, p 576 (ISBN-10: 1936221063)Google Scholar
  30. Kiesecker JM, Copeland H, Pocewicz A, Nibblink N, McKenney B, Dahlike J, Holloran M, Stroud D (2009) A framework for Implementing biodiversity offsets: selecting sites and determining scale. BioSci 59(1):77–84CrossRefGoogle Scholar
  31. Kiesecker JM, Copeland H, Pocewicz A, McKenney B (2010) Development by design: blending landscape-level planning with the mitigation hierarchy. Front Ecol Environ 8(5):261–266CrossRefGoogle Scholar
  32. Kiesecker JM, Evans JS, Fargione J, Doherty K, Foresman K, Naugle D, Nibbelink N, Niemuth N (2011) A win-win for wind and wildlife: a vision for facilitating sustainable development. PLoS ONE. doi:10.1371/journal.pone.0017566Google Scholar
  33. Kiesecker JM, Sochi K, Heiner M, McKenney B, Evans JS, Copeland H (2013) Development by design: using a revisionist history to guide a sustainable future. In: Levin SA (ed) Encyclopedia of biodiversity, 2nd edn. Academic Press, Waltham, pp 495–507CrossRefGoogle Scholar
  34. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680PubMedCrossRefGoogle Scholar
  35. Linke S, Norris RH, Pressey LR (2008) Irreplaceability of river networks: towards catchment‐based conservation planning. J Appl Ecol 45(5):1486–1495CrossRefGoogle Scholar
  36. Margules CR, Pressey RL (2000) Systematic conservation planning. Nature 405(6783):243–253PubMedCrossRefGoogle Scholar
  37. Margules C, Sarkar S, Margules CR (2007) Systematic conservation planning. Cambridge University Press, CambridgeGoogle Scholar
  38. McPherson M, Schill S, Raber G, Kimberley J, Zenny N, Thurlow K, Sutton A (2008) GIS-based modeling of environmental risk surfaces (ERS) for conservation planning in Jamaica. J Conserv Plan 4:60–89Google Scholar
  39. Moilanen A, Ball I (2009) Heuristic and approximate optimization methods for spatial conservation prioritization. In: Moilanen A., Wilson KA, Possingham HP (eds) Spatial conservation prioritisation: quantitative methods and computational tools. Oxford University Press, OxfordGoogle Scholar
  40. Mora C (2008) A clear human footprint in the coral reefs of the Caribbean. Proc Royal Soc Lond B 275:767–773CrossRefGoogle Scholar
  41. Nhancale BA, Smith RJ (2011) The influence of planning unit characteristics on the efficiency and spatial pattern of systematic conservation planning assessments. Biodivers Conserv 20(8):1821–1835CrossRefGoogle Scholar
  42. Openshaw S (1984) The modifiable areal unit problem, CATMOG 38. Geo Abstracts, NorwichGoogle Scholar
  43. Pressey RL et al (1993) Beyond opportunism: key principles for systematic reserve selection. Tr Ecol Evol 8(4):124–128CrossRefGoogle Scholar
  44. Pressey RL, Johnson IR, Wilson PD (1994) Shades of irreplaceability: towards a measure of the contribution of sites to a reservation goal. Biodivers Conserv 3(3):242–262Google Scholar
  45. Pressey RL, Cabez M, Watts ME, Cowling RM, Wilson KA (2007) Conservation planning in a changing world. Tr Ecol Evol 22(11):583–592CrossRefGoogle Scholar
  46. Quantum GIS Development Team (2014) Quantum GIS geographic information system. Open source geospatial foundation project. http://qgis.osgeo.org. Accessed 23 May 2014
  47. R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, (ISBN 3-900051-07-0). http://www.R-project.org Google Scholar
  48. Regan HM, Ensbey MJ, Burgman MA (2009) Conservation prioritization and uncertainty in planning inputs. In: Moilanen A., Wilson KA, Possingham HP (eds) Spatial conservation prioritisation: quantitative methods and computational tools. Oxford University Press, OxfordGoogle Scholar
  49. Richardson EA et al (2006) Sensitivity of marine‐reserve design to the spatial resolution of socioeconomic data. Conserv Biol 20(4):1191–1202PubMedCrossRefGoogle Scholar
  50. Saenz S, Walschburger T, González JC, León J, McKenney B, Kiesecker JM (2013a) Development by design in Colombia: making mitigation decisions consistent with conservation outcomes. PLoS ONE 8(12):e81831. doi:10.1371/journal.pone.0081831PubMedCentralPubMedCrossRefGoogle Scholar
  51. Saenz S, Walschburger T, González JC, León J, McKenney B, Kiesecker JM (2013b) A framework for Implementing and valuing biodiversity offsets in colombia: a landscape scale perspective. Sustainability 5(12):4961–4987CrossRefGoogle Scholar
  52. Schill S (2009) Results of the Saint Lucia protected area ecological GAP workshops. The Nature Conservancy, Arlington, p 56Google Scholar
  53. Schill S, Raber G (2012) Protected area tools (PAT) for ArcGIS 10: user manual and tutorial. The Nature Conservancy, Arlington. http://www.gispatools.org. Accessed 14 April 2014
  54. Scott MJ, Davis F, Csuti V, Noss R, Butterfield B, Groves G, Anderson H, Caicco S, D’Erchia F, Edwards TC, Ulliman J, Wright G (1993) GAP analysis: a geographic approach to protection of biological diversity. J Wildl Manage 123:3–41Google Scholar
  55. Simpson EH (1949) Measurement of diversity. Nature 163:688CrossRefGoogle Scholar
  56. Singhal A (2001) Modern information retrieval: a brief overview. Bull IEEE Comput Soc Tech Comm Data Eng 24(4):35–43Stein BA, Kutner LS, Hammerson GA, Master LL, Morse LE (2000) State of the states: Geographic patterns of diversity, rarity and endemism. In: Stein BA, Kutner LS (eds) Precious heritage: the status of biodiversity in the United States. Oxford University Press, New YorkGoogle Scholar
  57. Theobald DM (2003) Targeting conservation action through assessment of protect and exurban threats. Conserv Biol 17:1624–1637CrossRefGoogle Scholar
  58. Warman LD et al. (2004) Sensitivity of systematic reserve selection to decisions about scale, biological data, and targets: case study from Southern British Columbia. Conserv Biol 18(3):655–666CrossRefGoogle Scholar
  59. Whiteaker T (2013) A new tool for creating sampling hexagons. ArcGIS resources Blog. http://blogs.esri.com/esri/arcgis/2013/05/06/a-new-tool-for-creating-sampling-hexagons/. Accessed 4 Aug 2014
  60. Wilhere GF, Goering M, Wang H (2008) Average optimacity: an index to guide site prioritization for biodiversity conservation. Biol Conserv 141(3):770–781Google Scholar
  61. Wong D (2009) The modifiable areal unit problem (MAUP). In: Fotheringham SA, Rogerson PA (eds) The SAGE handbook of spatial analysis. Sage, Thousand Oaks, pp 105–124 (ISBN 9781412910828 OCLC 85898184)Google Scholar
  62. Woodley S, Bertzky B, Crawhall, Dudley N, Londoño JM, MacKinnon K et al (2012) Meeting Aichi target 11: what does success look like for protected area systems. Parks 18(1):23–36Google Scholar
  63. Wrigley N (1995) Revisiting the modifiable areal unit problem and the ecological fallacy. In: Cliff AD (ed) Diffusing geography: essays for Peter Haggett (The Institute of British Geographers special publications series 31). Wiley-Blackwell, Hoboken, pp 123–181Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2015

Authors and Affiliations

  • Jeffrey S. Evans
    • 1
    • 2
  • Steven R. Schill
    • 3
  • George T. Raber
    • 4
  1. 1.The Nature ConservancyFort CollinsUSA
  2. 2.Department of Zoology and PhysiologyUniversity of WyomingLaramieUSA
  3. 3.The Nature ConservancyProvoUSA
  4. 4.Department of GeographyUniversity of Southern MississippiHattiesburgUSA

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