Department of Environment and Society and The Ecology Center, Utah State University, Logan, UT 84322-5215, United States.
J Environ Manage. 2010 Jul;91(7):1566-72. doi: 10.1016/j.jenvman.2010.02.030. Epub 2010 Mar 29.
This study examined resource conditions on backcountry campsites in Prince William Sound, Alaska, USA. In order to further the understanding of campsite impacts and to improve monitoring and assessment methods, we employed a multivariate analysis procedure, suggested in one study, but heretofore untested on data from other campsite assessments. Factor analysis of ten impact indicator variables from 146 campsites produced three dimensions of campsite impact-tree and vegetation disturbance, areal disturbance and visitor behavior-related disturbance. Three types of campsites, which differed substantially in the types of impact exhibited, were then derived from a cluster analysis of the factor scores. Further analysis revealed a significant relationship between the types of substrates where campsites were located and the types of campsites derived from the analysis. This work illustrates the utility of multi-indicator monitoring approaches and the use of multivariate methods for classifying campsites, as the campsite types identified would likely require different management strategies for limiting the proliferation and expansion of impacts.
本研究调查了美国阿拉斯加威廉王子湾（Prince William Sound）偏远地区露营地的资源状况。为了进一步了解露营地的影响，并改进监测和评估方法，我们采用了一项多元分析程序，该程序在一项研究中提出，但尚未在其他露营地评估数据上进行测试。对 146 个露营地的 10 个影响指标变量进行因子分析，得出了露营地影响的三个维度——树木和植被干扰、面积干扰和游客行为相关干扰。然后，根据因子得分的聚类分析，得出了三种类型的露营地，它们在表现出的影响类型上有很大的不同。进一步的分析表明，露营地所在的基质类型与从分析中得出的露营地类型之间存在显著的关系。这项工作说明了多指标监测方法和多元方法在分类露营地方面的实用性，因为确定的露营地类型可能需要不同的管理策略来限制影响的扩散和扩大。
