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The contribution of nitrogen deposition to the eutrophication signal in understorey plant communities of European forests

机译:氮沉降对欧洲森林底层植物群落富营养化信号的贡献

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摘要

We evaluated effects of atmospheric deposition of nitrogen on the composition of forest understorey vegetation both in space and time, using repeated data from the European wide monitoring program ICP‐Forests, which focuses on normally managed forest. Our aim was to assess whether both spatial and temporal effects of deposition can be detected by a multiple regression approach using data from managed forests over a relatively short time interval, in which changes in the tree layer are limited. To characterize the vegetation, we used indicators derived from cover percentages per species using multivariate statistics and indicators derived from the presence/absence, that is, species numbers and Ellenberg's indicator values. As explanatory variables, we used climate, altitude, tree species, stand age, and soil chemistry, besides deposition of nitrate, ammonia and sulfate. We analyzed the effects of abiotic conditions at a single point in time by canonical correspondence analysis and multiple regression. The relation between the change in vegetation and abiotic conditions was analyzed using redundancy analysis and multiple regression, for a subset of the plots that had both abiotic data and enough species to compute a mean Ellenberg N value per plot using a minimum of three species. Results showed that the spatial variation in the vegetation is mainly due to “traditional” factors such as soil type and climate, but a statistically significant part of the variation could be ascribed to atmospheric deposition of nitrate. The change in the vegetation over the past c. 10 years was also significantly correlated to nitrate deposition. Although the effect of deposition on the individual species could not be clearly defined, the effect on the vegetation as a whole was a shift toward nitrophytic species as witnessed by an increase in mean Ellenberg's indicator value.
机译:我们使用来自欧洲范围广泛的监测计划ICP-Forests的重复数据,评估了氮在大气中的沉积在空间和时间上对森林林下植被组成的影响,该计划重点关注正常管理的森林。我们的目的是评估使用相对短时间间隔内受管理森林的数据的多元回归方法是否可以通过多元回归方法检测到沉积的空间和时间影响,其中树层的变化受到限制。为了描述植被特征,我们使用了使用多元统计数据从每个物种的覆盖率得出的指标,以及从存在/不存在得出的指标,即物种数量和Ellenberg的指标值。作为解释变量,除了硝酸盐,氨和硫酸盐的沉积以外,我们还使用了气候,海拔,树木种类,林分年龄和土壤化学。我们通过规范对应分析和多元回归分析了非生物条件在单个时间点的影响。使用冗余分析和多元回归分析了植被变化和非生物条件之间的关系,对于具有非生物数据和足够物种以至少使用三个物种计算每个地块的平均Ellenberg N值的样地的子集。结果表明,植被的空间变化主要归因于“传统”因素,例如土壤类型和气候,但统计学上重要的变化部分可能归因于大气中硝酸盐的沉积。过去的植被变化c。 10年也与硝酸盐沉积显着相关。尽管不能清楚地确定沉积对单个物种的影响,但对整体植被的影响是向营养型物种的转移,这可以通过平均艾伦伯格指标值的增加来证明。

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