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Using canonical correlation analysis to identify environmental attitude groups: Considerations for national forest planning in the southwestern U.SAuthor(s): Alejandro J. Prera; Kristine M. Grimsrud; Jennifer A. Thacher; Dan W. McCollum; Robert P. Berrens
Source: Environmental Management. 54: 756-767.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionAs public land management agencies pursue region-specific resource management plans, with meaningful consideration of public attitudes and values, there is a need to characterize the complex mix of environmental attitudes in a diverse population. The contribution of this investigation is to make use of a unique household, mail/ internet survey data set collected in 2007 in the Southwestern United States (Region 3 of the U.S. Forest Service). With over 5,800 survey responses to a set of 25 Public Land Value statements, canonical correlation analysis is able to identify 7 statistically distinct environmental attitudinal groups. We also examine the effect of expected changes in regional demographics on overall environmental attitudes, which may help guide in the development of socially acceptable long-term forest management policies. Results show significant support for conservationist management policies and passive environmental values, as well as a greater role for stakeholder groups in generating consensus for current and future forest management policies.
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CitationPrera, Alejandro J.; Grimsrud, Kristine M.; Thacher, Jennifer A.; McCollum, Dan W.; Berrens, Robert P. 2014. Using canonical correlation analysis to identify environmental attitude groups: Considerations for national forest planning in the southwestern U.S. Environmental Management. 54: 756-767.
Keywordsforest policy, national forests and grasslands, public land values, multivariate analysis
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