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Locating eutrophication effects across British vegetation between 1990 and 1998

机译:在1990年至1998年期间确定英国植被的富营养化影响

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Large-scale ecological surveillance data were analysed to determine the locations of apparent eutrophication effects across common British vegetation types between 1990 and 1998. Plant species composition was recorded from a total of 9514 fixed plots located in a stratified, random sample of 501 1 km squares across Britain. Changes in plant species composition along a gradient of substrate fertility were inferred from statistical tests of change in mean Ellenberg fertility value calculated for each fixed plot. Plots were grouped by eight vegetation types, five landscape features (hedges, road verges, watercourse banks, small biotopes, larger units in fields and unenclosed land) and six environmental zones. Tests of change in mean Ellenberg value were carried out on all combinations of these strata. Decision tree modelling was used to identify groups of test outcomes sharing the same direction of change and where each group was defined by a minimum number of strata. Post hoc power analysis was used to select statistically non-significant test outcomes that could be used to infer stability in the sampled sub-population.
机译:分析了大规模的生态监测数据,以确定1990年至1998年间英国常见植被类型的表观富营养化作用的位置。从位于501个1 km正方形的分层随机样本中的总共9514个固定地块中记录了植物物种组成全英国。从针对每个固定样地计算的平均Ellenberg育性值变化的统计测试推断植物物种组成沿底物育性梯度的变化。地块按八种植被类型,五种景观特征(树篱,道路边缘,河道,小生物群落,田野和未封闭土地中的较大单位)和六个环境区域分组。对这些阶层的所有组合均进行了Ellenberg平均值变化的测试。决策树建模用于识别测试结果的组,这些组具有相同的变化方向,并且每个组由最小层数定义。事后功效分析用于选择统计上不显着的测试结果,这些结果可用于推断采样子群的稳定性。

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