{"title":"挪威南部的亲钙高山植被:雪的重要性和气候变化的可能影响","authors":"S. Reinhardt, A. Odland, A. Pedersen","doi":"10.1127/0340-269X/2013/0043-0534","DOIUrl":null,"url":null,"abstract":"Vegetation types confi ned to calcareous bedrocks are often characterized by high species richness, and rare and red- listed plants occur frequently. Snow depth and duration are of particular importance for the fl oristic composition of mountain vegetation and we therefore wanted to quantify the importance of the date of snowmelt and thereby discuss possible effects of future climate change. In two mountain areas with calcium-rich bedrocks, 106 sample plots (2 x 2 m) were selected by a stratifi ed random sampling, to cover a broad range of snow cover, topography and vegetation composition. Study plots include both the northern boreal zone (NB), the low alpine zone (LA), and the middle alpine zone (MA). Soil data, soil temperature and day of snowmelt were sampled from all plots. Fifteen vegetation (cluster) types were classifi ed by the use of TWINSPAN, and these were well separated in a DCA (Detrended Correspondence Analysis) ordination. A CVA (Canonical Variates Analysis) and Monte Carlo Permutation tests showed that the vegetation types were signifi cantly associated with most of the measured environmental variables, with relative altitude, potassium, and Julian day of snowmelt as the most important variables. All study plots showed relatively high values for soil richness and were signifi cantly negatively correlated with the Julian day when the soil temperature threshold (6 °C) was reached. 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引用次数: 11
摘要
局限于钙质基岩的植被类型往往具有物种丰富度高的特点,稀有植物和红色名录植物频繁出现。雪深和持续时间对于山地植被的群落组成特别重要,因此我们希望量化融雪日期的重要性,从而讨论未来气候变化的可能影响。在两个富含钙基岩的山区,通过分层随机抽样选择106个样地(2 x 2 m),覆盖了广泛的积雪、地形和植被组成。研究样地包括北寒带(NB)、低高寒带(LA)和中高寒带(MA)。采集各样地土壤数据、土壤温度和融雪日。利用TWINSPAN对15种植被(簇)类型进行了分类,这些类型在DCA(去趋势对应分析)排序中得到了很好的分离。典型变量分析(CVA)和蒙特卡洛排列检验表明,植被类型与大部分测量的环境变量有显著的相关性,其中相对海拔、钾和融雪日是最重要的变量。所有样地土壤丰富度值均较高,且当土壤温度达到阈值(6°C)时,土壤丰富度与儒略日呈显著负相关。海拔高度、融雪朱利安日和植被组成之间的显著关系表明,在一个更温暖的世界中,早期融雪可能会导致重大变化。
Calciphile alpine vegetation in Southern Norway: Importance of snow and possible effects of climate change
Vegetation types confi ned to calcareous bedrocks are often characterized by high species richness, and rare and red- listed plants occur frequently. Snow depth and duration are of particular importance for the fl oristic composition of mountain vegetation and we therefore wanted to quantify the importance of the date of snowmelt and thereby discuss possible effects of future climate change. In two mountain areas with calcium-rich bedrocks, 106 sample plots (2 x 2 m) were selected by a stratifi ed random sampling, to cover a broad range of snow cover, topography and vegetation composition. Study plots include both the northern boreal zone (NB), the low alpine zone (LA), and the middle alpine zone (MA). Soil data, soil temperature and day of snowmelt were sampled from all plots. Fifteen vegetation (cluster) types were classifi ed by the use of TWINSPAN, and these were well separated in a DCA (Detrended Correspondence Analysis) ordination. A CVA (Canonical Variates Analysis) and Monte Carlo Permutation tests showed that the vegetation types were signifi cantly associated with most of the measured environmental variables, with relative altitude, potassium, and Julian day of snowmelt as the most important variables. All study plots showed relatively high values for soil richness and were signifi cantly negatively correlated with the Julian day when the soil temperature threshold (6 °C) was reached. The signifi cant relationships between altitude, Julian day of snowmelt, and vegetation composition indicate that major changes may be expected as a consequence of an earlier snowmelt in a warmer world.
期刊介绍:
Phytocoenologia is an international, peer-reviewed journal of plant community ecology. It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches. The journal publishes original papers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods.