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Using Canonical Correlation Analysis to Identify Environmental Attitude Groups: Considerations for National Forest Planning in the Southwestern U.S.

机译:使用规范相关分析确定环境态度群体:美国西南部国家森林规划的注意事项

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摘要

As 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.
机译:当公共土地管理机构在认真考虑公众态度和价值观的情况下制定针对特定地区的资源管理计划时,有必要对不同人群中环境态度的复杂组合加以刻画。这项调查的目的是利用2007年在美国西南部(美国森林服务局第3区)收集的独特的家庭邮件/互联网调查数据集。通过对一组25种公共土地价值陈述的5800多项调查响应,规范的相关分析能够确定7个统计学上不同的环境态度群体。我们还研究了区域人口统计学的预期变化对整体环境态度的影响,这可能有助于指导制定社会上可接受的长期森林管理政策。结果表明,对保护主义者的管理政策和消极的环境价值提供了大力支持,以及利益相关者团体在就当前和未来的森林管理政策达成共识方面发挥了更大的作用。

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