纽约州法老湖荒野地区露营地影响监测方法的比较

B. Jackson, D. Kuehn, R. Briggs, C. Beier, Lianjun Zhang
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引用次数: 0

摘要

评估营地影响的排名方法传统上是在实际影响测量之外(有时是代替)使用的。排名系统更容易执行;然而,令人关切的是,这些方法可能无法准确评估影响的实际(定量)措施。在纽约州阿迪朗达克公园的法老湖荒野地区,对营地影响监测的三种排名方法(即Frissell条件等级,森林服务最小协议和多参数分类评级)进行了相互比较,并采用定量方法(即研究水平调查)来评估营地条件。虽然这三种排名方法对营地影响的分类在实施时间上没有显著差异,但多参数分类评级方案比其他两种方法在数据中提供了更高水平的细节。三种排序方法的露营地条件测量结果与通过研究水平调查收集的许多定量测量结果(如土壤密度、幼苗密度、根系暴露百分比)显著相关,但比研究水平调查花费的时间要少得多。然而,实施改进的研究水平调查可能是监测法老湖荒野地区露营地的更好选择。具体而言,对几个变量(即渗水量、幼苗密度以及1小时和10小时燃料)的数据一致性的关注表明,经过修改以排除这些变量的研究水平调查实际上可能提供长期更精确的比率水平数据,并且与多参数分类评级协议相比不会显着增加实施时间。订阅JPRA
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Campsite Impact Monitoring Methodologies for the Pharaoh Lake Wilderness Area in New York State
Ranking methodologies for estimating campsite impacts have traditionally been used in addition to (and sometimes in place of) actual measures of impacts. Ranking systems are easier to implement; however, there is concern that these methods may not accurately assess actual (quantitative) measures of impact. In the Pharaoh Lake Wilderness Area in New York State’s Adirondack Park, three ranking methodologies of campsite impact monitoring (i.e., Frissell Condition Class, Forest Service Minimum Protocol, and Multiple Parameter Categorical Ratings) were compared among each other and with a quantitative method (i.e., Research Level Survey) to evaluate campsite conditions. Although the three ranking methodologies classified campsite impacts with no significant difference in implementation time, the Multiple Parameter Categorical Ratings protocol provided a higher level of detail in the data than the other two methods. Measures of campsite condition from the three ranking methodologies significantly correlated with many of the quantitative measures collected through the Research Level Survey (e.g., soil density, seedling density, percent root exposure), but took much less time to implement than the Research Level Survey. However, implementing a modified Research Level Survey may be the better choice for monitoring campsites in the Pharaoh Lake Wilderness Area. Specifically, concerns over data consistency for several variables (i.e., water infiltration, seedling density, and 1- and 10-hour fuels) indicate that a Research Level Survey modified to exclude these variables may in fact provide ratio-level data that are more precise in the long term and that do not significantly increase implementation time over the Multiple Parameter Categorical Ratings protocol. Subscribe to JPRA
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