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首页> 外文期刊>Bryologist >Lichen indices assess local climate and air quality status in the Mid-Atlantic Region, USA
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Lichen indices assess local climate and air quality status in the Mid-Atlantic Region, USA

机译:地衣索引评估美国中大西洋地区的当地气候和空气质量地位

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摘要

Lichen-based indices were developed for monitoring local climate and air quality impacts in the United States of America (U.S.A.) Mid-Atlantic states (MidA). The U.S.A. Forest Service Forest Inventory and Analysis Program (FIA) uses such biological indicators to monitor forest environments. Index development used a unique combination of recommended analysis techniques. The Climate Index (Axis 1 of nonmetric multidimensional scaling (NMS] ordination of 189 plots, 80 lichen species) accounted for 44.7% of data variation, and was correlated with latitude, temperature and humidity (r(2) = 0.5 to 0.7). The Pollution Index was based on abundances of 10 tolerant and 27 sensitive lichen species selected from Indicator Species Analysis and other techniques (210 plots, 180 species). Strong quantitative support guided careful selection of pollution indicator species. The Pollution Index was strongly correlated with Al, Cu, Fe, N and S measured in lichen samples (51 plots; maximum r(2)=0.796), and with 51-plot NMS Axis 1 (r(2)=0.694; 41.7% of information) correlated with pollution. Indices were uncorrelated with each other or with nearby forest cover, another important factor. From within-site repeatability, Climate Index changes of 13-21% of full range and Pollution Index changes of 18-24% will be detectable. These indices fill a gap to complete FIA index coverage for much of eastern U.S.A. Both indices are suitable for application in other MidA studies. Comparisons with similar FIA studies supported guidelines for use of our indicator selection process and evaluation of environmental interactions to improve other studies.
机译:基于地衣的索引正在制定用于监测美利坚合众国(U.S.A.)中大西洋(MIDA)的当地气候和空气质量影响。美国森林服务森林库存和分析计划(FIA)使用此类生物指标监测森林环境。索引开发使用了建议的分析技术的独特组合。气候指数(189个绘图的非更换多维缩放(NMS)排序的轴1,80地衣物种)占数据变化的44.7%,并与纬度,温度和湿度(R(2)= 0.5至0.7相关。污染指数基于来自指示物种分析和其他技术的10种耐受性和27种敏感性地衣物种(210个曲线,180种)。强烈的定量支持引导仔细选择污染指标物种。污染指数与AL强烈相关在地衣样品中测量的,Cu,Fe,N和S(51个曲线;最大R(2)= 0.796),51个绘图NMS轴1(R(2)= 0.694; 41.7%的信息)与污染相关。索引彼此不相关或附近的森林封面,另一个重要因素。从内部可重复性,气候指数变化为13-21%的全范围和污染指数的变化为18-24%。这些索引填补了差距完成FIA指数封面大部分地区的年龄。这两个指数都适用于其他米达研究。具有类似FIA研究的比较支持使用我们的指标选择过程和对环境相互作用的评估来改善其他研究的指导。

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