利用联合分析法分析公众对国家森林多重目标决策的投入

IF 1.5 4区 农林科学 Q2 FORESTRY Forest Science Pub Date : 2024-04-10 DOI:10.1093/forestscience/44.3.421
Donald F. Dennis
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引用次数: 0

摘要

面对多重目标,国家森林管理者和规划者需要一种方法来征求和分析公众的偏好和价值观。我们设计了一项联合排序调查,以征求公众对绿山国家森林不同程度的木材采伐、野生动物栖息地、远足径、雪地车使用和越野车 (ORV) 使用的偏好。在公众参与会议期间,76 名受访者完成了调查。使用有序 probit 模型估计了线性和二次主效应。受访者倾向于适度的木材采伐和雪地车进入,以及较低水平的 ORV 进入。他们更喜欢成熟的郁闭树冠林和更年轻更开阔的混合林,而不是两个极端,并且对扩展远足径网络有些漠不关心。For.科学》44(3):421-428。
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Analyzing Public Inputs to Multiple Objective Decisions on National Forests Using Conjoint Analysis
Faced with multiple objectives, national forest managers and planners need a means to solicit and analyze public preferences and values. A conjoint ranking survey was designed to solicit public preferences for various levels of timber harvesting, wildlife habitats, hiking trails, snowmobile use, and off-road-vehicle (ORV) access on the Green Mountain National Forest. The survey was completed by 76 respondents during public involvement meetings. An ordered probit model was used to estimate linear and quadratic main effects. Respondents preferred moderate levels of timber harvesting and snowmobile access and lower levels of ORV access. They favored a mixture of mature closed canopy and younger more open forests over either extreme and were somewhat indifferent toward extending the network of hiking trails. For. Sci. 44(3):421-428.
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来源期刊
Forest Science
Forest Science 农林科学-林学
CiteScore
2.80
自引率
7.10%
发文量
45
审稿时长
3 months
期刊介绍: Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management. Forest Science is published bimonthly in February, April, June, August, October, and December.
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