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This research explores multi-attribute planning using GIS to enhance ecosystem protection efforts in the Sierra Nevada region of California. It builds on previous studies (Shilling et al., 2002; Shilling and Girvetz, 2007) that utilized expert input on focal wildlife species and landscape fragmentation. The study employs tools like Ecosystem Management Decision Support (EMDS) and simulated annealing (now MARXAN) to assess cost implications and planning strategies. It aims to identify essential attributes, values, and indicators that align with conservation objectives, thus providing valuable insights for future ecosystem management.
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Multi-attribute planning in GIS for ecosystem protection Fraser Shilling Department of Environmental Science & Policy University of California, Davis fmshilling@ucdavis.edu
Multiple attribute planning Previous studies in California Sierra Nevada (Shilling et al., 2002; Shilling and Girvetz, 2007) Used GIS-based spatial modeling, founded on expert input about focal wildlife species and landscape/aquatic fragmentation. Tools: Ecosystem Management Decision Support (EMDS) & simulated annealing program (SITES) – now MARXAN
Multiple attribute planning Previous studies in California Sierra Nevada (Shilling et al., 2002; Shilling and Girvetz, 2007) Used GIS-based spatial modeling, founded on expert input about focal wildlife species and landscape/aquatic fragmentation. Tools: Ecosystem Management Decision Support (EMDS) & simulated annealing program (SITES) – now MARXAN
How much does it cost? Cost included post-hoc, but could have been used as input variable
Best approach (lessons learned and literature) • Goals/objectives • Multiple scalable attributes and values • Geographic expression • Cost and planning implications • Attributes on same value scale • Indicators of ecosystem/social value • Indicators correspond to goals/objectives