A Method for assessing protected area allocations using a typology of landscape values
AbstractTraditional park and reserve selection techniques that rely exclusively on expert assessment can marginalize local knowledge and values in the review process. Using survey data from the Otways region of Victoria, Australia, we present a method that differentiates between public and private lands using locally perceived landscape values. The results are used to assess prospective national park expansion areas. Two data models of mapped landscape values—vector and raster—were analysed using discriminant analysis to classify and predict land status. Results indicate survey respondents hold more indirect and less tangible values for national parks and reserves, and more direct use values for private lands. There was moderate agreement between public and expert-derived national park boundaries. The mapping of local landscape values appears useful in planning and reviewing public land classifications, and when combined with biological assessments, can strengthen protected areas planning and management in Australia and elsewhere.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Environmental Planning and Management.
Volume (Year): 49 (2006)
Issue (Month): 6 ()
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Web page: http://www.tandfonline.com/CJEP20
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- Raymond, Christopher M. & Bryan, Brett A. & MacDonald, Darla Hatton & Cast, Andrea & Strathearn, Sarah & Grandgirard, Agnes & Kalivas, Tina, 2009. "Mapping community values for natural capital and ecosystem services," Ecological Economics, Elsevier, vol. 68(5), pages 1301-1315, March.
- Petrosillo, Irene & Semeraro, Teodoro & Zurlini, Giovanni, 2010. "Detecting the 'conservation effect' on the maintenance of natural capital flow in different natural parks," Ecological Economics, Elsevier, vol. 69(5), pages 1115-1123, March.
- Christopher Raymond & Gregory Brown, 2011. "Assessing spatial associations between perceptions of landscape value and climate change risk for use in climate change planning," Climatic Change, Springer, vol. 104(3), pages 653-678, February.
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