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Identifying Restoration Opportunities for Northern White Cedar by Contrasting Historical and Modern Inventories in an Ecological Classification System Context

机译:通过生态分类系统背景下的历史和现代清单对比,确定北部白雪松的恢复机会

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摘要

We propose an approach toward identifying restoration opportunities on the landscape using historical Public Land Survey(PLS)data and modern Forest Inventory and Analysis(FIA)data within an ecological classification system(ECS)context, and demonstrate this approach for northern white cedar(Thuja occidentalis)in Minnesota, U.S.A. Concern over long-term declines in the abundance of northern white cedar, particularly in younger(<40 yr)upland stands, has spurred interest in northern white cedar restoration in the Lake States region. Comparing historical PLS and modern FIA data revealed a decline in long-term northern white cedar area by 45% due to land use conversion and species shifts in extant forests in Minnesota. Changes in extent and relative abundance varied by ECS land type association(LTA): decreases occurred predominantly in mixed species stands and upland northern white cedar communities, while increases occurred in monotypic stands and lowland northern white cedar communities. We suggest that this landscape variation can guide adaptive management and restoration by focusing adaptive management on LTAs in which northern white cedar has fared well, and restoration on LTAs in which northern white cedar has dramatically declined. Where the data are available, this ECS_(PLS-FIA)approach could facilitate the prioritization of potential restoration candidate areas by revealing population dynamics in a temporal context that match the life span of the species of interest.
机译:我们提出了一种在生态分类系统(ECS)上下文中使用历史公共土地调查(PLS)数据和现代森林清单与分析(FIA)数据识别景观恢复机会的方法,并针对北方白柏(金钟柏)展示了这种方法。美国明尼苏达州的西洋杉(Occidentalis)担心北部白雪松的丰度长期下降,特别是在年轻的(<40岁)高地林分上,引起了人们对湖州地区北部白雪松恢复的兴趣。比较历史PLS和现代FIA数据后发现,由于明尼苏达州现存森林的土地利用转换和物种转移,北部白雪松的长期面积减少了45%。 ECS土地类型协会(LTA)的变化程度和相对丰度变化:减少主要发生在混合物种林分和北部白雪松高地群落中,而增加发生在单型林分和低地北部白雪松群落中。我们认为,这种景观变化可以通过将适应性管理的重点放在北部白雪松表现良好的LTA和北部白雪松严重退化的LTA上来指导适应性管理和恢复。如果有可用数据,此ECS_(PLS-FIA)方法可通过揭示与目标物种的寿命相匹配的时间动态来揭示种群动态,从而有助于对潜在的恢复候选区域进行优先级排序。

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