Development of lichen response indexes using a regional gradient modeling approach for large-scale monitoring of forests

S. Will-Wolf, P. Neitlich
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引用次数: 9

Abstract

Will-Wolf, Susan; Neitlich, Peter. 2010. Development of lichen response indexes using a regional gradient modeling approach for large-scale monitoring of forests. Gen. Tech. Rep. PNW-GTR-807. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 65 p. Development of a regional lichen gradient model from community data is a powerful tool to derive lichen indexes of response to environmental factors for large-scale and long-term monitoring of forest ecosystems. The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service includes lichens in its national inventory of forests of the United States, to help monitor the status of forested ecosystems. Development of a model for a specific region to calculate lichen response indexes that are correlated with air quality and major climate factors, and are also independent of each other, is a critical step in achieving program goals. These indexes are the primary lichen bioindicators used in FIA for assessing regional patterns and monitoring trends of lichen response to environment over time. This general approach is also applicable to other monitoring efforts. A first step in the modeling process is to identify an appropriate geographic region for a model. Unconstrained ordination alone, or combined with indicator species analysis followed by regression analysis, are two approaches borrowed from plant ecology that have been shown to generate successful regional lichen gradient models. Calculation of lichen response indexes for new plots not part of the original model is necessary to support long-term monitoring. We explain the rationale for recommended approaches, describe in detail the recommended steps in the modeldevelopment process, and explain how to document and evaluate results, all to support successful application of a model for monitoring. A template is included for documenting a model and archiving all products necessary to understand and apply it, as is required for each FIA model.
大尺度森林监测地衣响应指数的区域梯度模拟方法研究
Will-Wolf,苏珊;Peter Neitlich, 2010。大尺度森林监测地衣响应指数的区域梯度模拟方法研究。将军技术代表PNW-GTR-807。波特兰,OR:美国农业部,林业局,太平洋西北研究站,65页。从群落数据中开发区域地衣梯度模型是获得地衣对环境因子响应的强大工具,可用于大规模和长期监测森林生态系统。美国农业部林务局的森林清查和分析(FIA)项目将地衣列入美国全国森林清查,以帮助监测森林生态系统的状况。开发一个特定地区的模型来计算地衣响应指数,这些指数与空气质量和主要气候因子相关,并且彼此独立,是实现计划目标的关键一步。这些指标是FIA用于评估区域模式和监测地衣随时间变化对环境反应趋势的主要地衣生物指标。这种一般方法也适用于其他监测工作。建模过程的第一步是为模型确定合适的地理区域。从植物生态学中借鉴的两种方法,已被证明可以生成成功的区域地衣梯度模型,即单独的无约束排序,或结合指标物种分析再进行回归分析。为了支持长期监测,计算不属于原始模型的新地块的地衣响应指数是必要的。我们解释了推荐方法的基本原理,详细描述了模型开发过程中推荐的步骤,并解释了如何记录和评估结果,所有这些都是为了支持用于监视的模型的成功应用。每个FIA模型都需要一个模板,用于记录模型并存档理解和应用模型所需的所有产品。
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