Characterizing spatial uncertainty when integrating social data in conservation planning

Conservation Biology

Volumn 28, Issue 6, 2014, Pages 1497-1511

  Lechner, A M ^a   Raymond, C M ^a,b,c   Adams, V M ^d   Polyakov, M ^e   Gordon, A ^f   Rhodes, J R ^g   Mills, M ^g   Stein, A ^h   Ives, C D ^f   Lefroy, E C ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

^b UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^c Enviroconnect   (Australia)

^d CHARLES DARWIN UNIVERSITY   (Australia)

^e UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^f RMIT UNIVERSITY   (Australia)

^g UNIVERSITY OF QUEENSLAND   (Australia)

^h UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Conservation opportunity; Conservation planning; Elicited values; Public participation GIS; Social research; Spatial data quality; Spatial uncertainty; Systematic conservation assessment

Indexed keywords

ASSESSMENT METHOD; CONSERVATION PLANNING; DATA SET; DECISION ANALYSIS; GIS; PARTICIPATORY APPROACH; TYPOLOGY; UNCERTAINTY ANALYSIS; WILLINGNESS TO PAY;

CONSUMER; ENVIRONMENTAL PROTECTION; ORGANIZATION AND MANAGEMENT; SPATIAL ANALYSIS; UNCERTAINTY;

CONSERVATION OF NATURAL RESOURCES; CONSUMER PARTICIPATION; PLANNING TECHNIQUES; SPATIAL ANALYSIS; UNCERTAINTY;

EID: 84912090868     PISSN: 08888892     EISSN: 15231739     Source Type: Journal    
DOI: 10.1111/cobi.12409     Document Type: Article

References (67)

1. Adamowicz, W. L. 2004. What's it worth? An examination of historical trends and future directions in environmental valuation. Australian Journal of Agricultural and Resource Economics 48:419-443.
2. Aspinall, J., and D. M Pearson . 1996. Data quality and spatial analysis: analytical use of GIS for ecological modelling. Pages 35-38 in M. F. Goodchild, L. T. Steyaert, and B. O. Parks, editors. GIS and environmental modelling: progress and research issues. GIS World Books, Fort Collins, Colorado.
3. Babbie, E. 2007. The practice of social research. Thomson Wadsworth, Belmont.
4. Bode, M., K. A. Wilson, T. M. Brooks, W. R. Turner, R. A. Mittermeier, M. F. McBride, E. C. Underwood, and H. P. Possingham . 2008. Cost-effective global conservation spending is robust to taxonomic group. Proceedings of the National Academy of Sciences 105:6498-6501.
5. Brouwer, R., J. Martin-Ortega, and J. Berbel . 2010. Spatial preference heterogeneity: a choice experiment. Land Economics 86:552-568.
6. Brown, G. 2005. Mapping spatial attributes in survey research for natural resource management: methods and applications. Society and Natural Resources 18:17-39.
7. Brown, G. 2012. Public participation GIS (PPGIS) for regional and environmental planning: reflections on a decade of empirical research. URISA Journal 24:7-18.
8. Brown, G., C. Smith, L. Alessa, and A. Kliskey . 2004. A comparison of perceptions of biological value with scientific assessment of biological importance. Applied Geography 24:161-180.
9. Brown, G. G., and S Donovan . 2013. Escaping the national forest planning quagmire: using public participation GIS to assess acceptable national forest use. Journal of Forestry 111:115-125.
10. Bryan, B. A., C. M. Raymond, N. D. Crossman, and D. H. Macdonald . 2010. Targeting the management of ecosystem services based on social values: Where, what, and how? Landscape and Urban Planning 97:111-122.
11. Bryan, B. A., C. M Raymond, N. D Crossman, and D King . 2011. Comparing spatially explicit ecological and social values for natural areas to identify effective conservation strategies. Conservation Biology 25(1):172-181.
12. Burgman, M. A., D. B. Lindenmayer, and J. Elith . 2005. Managing landscapes for conservation under uncertainty. Ecology 86:2007-2017.
13. Burrough, P. A., and R. A. McDonnell . 1998. Principles of geographical information systems. Oxford University Press, Oxford.
14. Campbell, D., W. G. Hutchinson, and R. Scarpa . 2009. Using choice experiments to explore the spatial distribution of willingness to pay for rural landscape improvements. Environment and Planning A 41:97-111.
15. Carvalho, S. B., J. C. Brito, E. G. Crespo, M. E. Watts, and H. P. Possingham . 2011. Conservation planning under climate change: toward accounting for uncertainty in predicted species distributions to increase confidence in conservation investments in space and time. Biological Conservation 144:2020-2030.
16. Chen, J. 2008. Ecological modelling and perspectives of forest landscapes. Pages 265-270 in R. Lafortezza, G. Sanesi, J. Chen, and T. R. Crow, editors. Patterns and processes in forest landscapes. Springer, Netherlands.
17. Congalton, R. G. 1988. Using spatial auto-correlation analysis to explore the errors in maps generated from remotely sensed data. Photogrammetric Engineering and Remote Sensing 54:587-592.
18. Crosetto, M., S. Tarantola, and A. Saltelli . 2000. Sensitivity and uncertainty analysis in spatial modelling based on GIS. Agriculture, Ecosystems and Environment 81:71-79.
19. Curran, P., D. Smedley, P. Thompson, and A. T. Knight . 2012. Mapping restoration opportunity for collaborating with land managers in a carbon credit-funded restoration program in the Makana Municipality, Eastern Cape, South Africa. Restoration Ecology 20:56-64.
20. Curtis, A., I. Byron, and J. MacKay . 2005. Integrating socio-economic and biophysical data to underpin collaborative watershed management. Journal of the American Water Resources Association 41:549-563.
21. Devillers, R., A. Stein, Y. Bédard, N. Chrisman, P. Fisher, and W. Shi . 2010. Thirty years of research on spatial data quality: achievements, failures, and opportunities. Transactions in GIS 14:387-400.
22. Devillers, R., and R. Jeansoulin . 2010. Fundamentals of spatial data quality. Wiley, Hoboken.
23. Dungan, J. L., J. N. Perry, M. R. T. Dale, P. Legendre, S. Citron-Pousty, M.-J. Fortin, A. Jakomulska, M. Miriti, and M. S. Rosenberg . 2002. A balanced view of scale in spatial statistical analysis. Ecography 25:626-640.
24. Elith, J., M. A. Burgman, and H. M. Regan . 2002. Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecological Modelling 157:313-329.
25. Ferraro, P. J. 2003. Assigning priority to environmental policy interventions in a heterogeneous world. Journal of Policy Analysis and Management 22:27-43.
26. Forsberg, O. I., and A. G. Guttormsen . 2006. The value of information in salmon farming. Harvesting the right fish at the right time. Aquaculture Economics and Management 10:183-200.
27. Game, E. T., G. Lipsett-Moore, R. Hamilton, N. Peterson, J. Kereseka, W. Atu, M. Watts, and H. Possingham . 2011. Informed opportunism for conservation planning in the Solomon Islands. Conservation Letters 4:38-46.
28. Gergel, S., Y. Stange, N. Coops, K. Johansen, and K. Kirby . 2007. What is the value of a good map? An example using high spatial resolution imagery to aid riparian restoration. Ecosystems 10:688-702.
29. Goldberg, C. S., A Pocewicz, M Nielsen-Pincus, L. P Waits, P Morgan, J. E Force, and L. A Vierling . 2011. Predictions of ecological and social impacts of alternative residential development policies to inform decision making in a rural landscape. Conservation Letters 4(6):423-432.
30. Gotway, C. A., and L. J. Young . 2002. Combining incompatible spatial data. Journal of the American Statistical Association 97:632-648.
31. Guerrero, A. M., A. T. Knight, H. S. Grantham, R. M. Cowling, and K. A. Wilson . 2010. Predicting willingness-to-sell and its utility for assessing conservation opportunity for expanding protected area networks. Conservation Letters 3:332-339.
32. Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson . 2009. Multivariate data analysis. 7th edition. Pearson Prentice Hall, New Jersey.
33. Hanley, N., R. E. Wright, and V. Adamowicz . 1998. Using choice experiments to value the environment: design issues, current experience and future prospects. Environmental and Resource Economics 11:413-428.
34. Haslam, S. A., and C. McGarty . 2001. A 100 years of certitude? Social psychology, the experimental method and the management of scientific uncertainty. British Journal of Social Psychology 40:1-21.
35. Heuvelink, G. B. M. 2002. Analysing uncertainty propagation in GIS: Why is it not that simple? Pages 155-165 in G. M. Foody and P. M. Atkinson, editors. Uncertainty in remote sensing and GIS. John Wiley & Sons, West Sussex.
36. Heuvelink, G. B. M., P. A. Burrough, and A. Stein . 1989. Propagation of errors in spatial modelling with GIS. International Journal of Geographical Information Science 3:303-322.
37. Jelinski, D., and J. Wu . 1996. The modifiable areal unit problem and implications for landscape ecology. Landscape Ecology 11:129-140.
38. King, G. 1997. A solution to the ecological inference problem. Princeton University Press, Princeton, NJ.
39. King, G., O. Rosen, M. Tanner, G. King, O. Rosen, and M. A. Tanner . 2004. Ecological inference: new methodological strategies. Cambridge University Press, New York.
40. Knight, A. T., R. M. Cowling, and B. M. Campbell . 2006. An operational model for implementing conservation action. Conservation Biology 20:408-419.
41. Knight, A. T., R. M. Cowling, M. Difford, and B. M. Campbell . 2010. Mapping human and social dimensions of conservation opportunity for the scheduling of conservation action on private land. Conservation Biology 24:1348-1358.
42. Langford, W. T., A. Gordon, L. Bastin, S. A. Bekessy, M. D. White, and G. Newell . 2011. Raising the bar for systematic conservation planning. Trends in Ecology and Evolution 26:634-640.
43. Lechner, A. M., K. J. Reinke, Y. Wang, and L. Bastin . 2013. Interactions between landcover pattern and geospatial processing methods: effects on landscape metrics and classification accuracy. Ecological Complexity 15:71-82.
44. Lechner, A. M., W. T. Langford, S. A. Bekessy, and S. D. Jones . 2012a. Are landscape ecologists addressing uncertainty in their remote sensing data? Landscape Ecology 27:1249-1261.
45. Lechner, A. M., W. T. Langford, S. D. Jones, S. A. Bekessy, and A. Gordon . 2012b. Investigating species-environment relationships at multiple scales: differentiating between intrinsic scale and the modifiable areal unit problem. Ecological Complexity 11:91-102.
46. Lesslie, R. 2012. Mapping our priorities-innovation in spatial decision support. Pages 156-163 in P. Figgis, J. Fitzsimon, and J. Irving, editors. Innovation for 21st century conservation. Australian Committee for IUCN, Thebarton, South Australia.
47. Mills, M., R. Pressey, N. Ban, S. Foale, A. Knight, and S. Aswani . 2013. Understanding characteristics that define the feasibility of conservation actions in a common pool marine resource governance system. Conservation Letters 6:418-429.
48. Moilanen, A., L. Meller, J. Leppänen, A. Arponen, and H. Kujala . 2011. Spatial conservation planning framework and software Zonation. Version 3.0. User manual. University of Helsinki, Department of Bioscience, Helsinki.
49. Openshaw, S. 1984. The modifiable areal unit problem. Concepts and techniques in modern geography 38. Geobooks, Norwich, United Kingdom.
50. Pasquini, L., C. Twyman, and J. Wainwright . 2010. Toward a conceptual framework for blending social and biophysical attributes in conservation planning: a case-study of privately-conserved lands. Environmental Management 46:659-670.
51. Polyakov, M., D. J. Pannell, R. Pandit, S. Tapsuwan, and G. Park . 2015. Capitalized amenity value of native vegetation in a multifunctional rural landscape. American Journal of Agricultural Economics. DOI: 10.1093/ajae/aau053.
52. Raiffa, H., and R. Schlaifer . 2000. Applied statistical decision theory. Graduate School of Business Administration, Harvard University, Cambridge, Massachusetts.
53. Raymond, C. M., B. A. Bryan, D. H. MacDonald, A. Cast, S. Strathearn, A. Grandgirard, and T. Kalivas . 2009. Mapping community values for natural capital and ecosystem services. Ecological Economics 68:1301-1315.
54. Raymond, C., and G. Brown . 2006. A method for assessing protected area allocations using a typology of landscape values. Journal of Environmental Planning and Management 49:797-812.
55. Raymond, C. M., and G. Brown . 2011. Assessing conservation opportunity on private land: socio-economic, behavioral, and spatial dimensions. Journal of Environmental Management 92:2513-2523.
56. Rocchini, D., et al. 2012. Uncertainty in ecosystem mapping by remote sensing. Computers and Geosciences 39:145-151.
57. Saltelli, A., and P. Annoni . 2010. How to avoid a perfunctory sensitivity analysis. Environmental Modelling & Software 25:1508-1517.
58. Schmit, C., M. D. A. Rounsevell, and I. La Jeunesse . 2006. The limitations of spatial land use data in environmental analysis. Environmental Science & Policy 9:174-188.
59. Shi, W. 2010. Principles of modeling uncertainties in spatial data and spatial analyses. CRC Press, Boca Raton, FL.
60. Tulloch, A. I. T., V. Tulloch McShane, M. C. Evans, and M. Mills . 2014. Learning from the past to inform the future: how valuable are models of management feasibility. Conservation Biology 28: in press.
61. Tyrväinen, L., KMäkinen, and J Schipperijn . 2007. Tools for mapping social values of urban woodlands and other green areas. Landscape and Urban Planning 79(1):5-19.
62. Van Berkel, D. B., and P. H. Verburg . 2014. Spatial quantification and valuation of cultural ecosystem services in an agricultural landscape. Ecological Indicators 37:163-174.
63. Visconti, P., R. L. Pressey, M. Bode, and D. B. Segan . 2010. Habitat vulnerability in conservation planning-when it matters and how much. Conservation Letters 3:404-414.
64. Whitehead, A. L., H. Kujala, C. D. Ives, A. Gordon, P. E. Lentini, B. A. Wintle, E. Nicholson, and C. M. Raymond . 2014. Integrating biological and social values when prioritizing places for biodiversity conservation. Conservation Biology 28(4):992-1003. DOI: 10.1111/cobi.12257.
65. Williams, B. K., and F. A. Johnson . 2013. Confronting dynamics and uncertainty in optimal decision making for conservation. Environmental Research Letters 8. DOI:10.1088/1748-9326/8/2/025004.
66. Wu, J., W. Gao, and P. T. Tueller . 1997. Effects of changing spatial scale on the results of statistical analysis with landscape data: a case study. Geographic Information Sciences 3:30-41.
67. Yokota, F., and K. M. Thompson . 2004. Value of information literature analysis: a review of applications in health risk management. Medical Decision Making 24:287-298.