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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps
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Influence of microclimate and geomorphological factors on alpine vegetation in the Western Swiss Alps

机译:微气候和地貌因素对西瑞士阿尔卑斯山高山植被的影响

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摘要

Among the numerous environmental factors affecting plant communities in alpine ecosystems, the influence of geomorphic processes and landforms has been minimally investigated. Subjected to persistent climate warming, it is vital to understand how these factors affect vegetation properties. Here, we studied 72 vegetation plots across three sites located in the Western Swiss Alps, characterized by high geomorphological variability and plant diversity. For each plot, vascular plant species were inventoried and ground surface temperature, soil moisture, topographic variables, earth surface processes (ESPs) and landform morphodynamics were assessed. The relationships between plant communities and environmental variables were analysed using non-metric multi-dimensional scaling (NMDS) and multivariate regression techniques (generalized linear model, GLM, and generalized additive model, GAM). Landform morphodynamics, growing degree days (sum of degree days above 5 degrees C) and mean ground surface temperature were the most important explanatory variables of plant community composition. Furthermore, the regression models for species cover and species richness were significantly improved by adding a morphodynamics variable. This study provides complementary support that landform morphodynamics is a key factor, combined with growing degree days, to explain alpine plant distribution and community composition. (c) 2019 John Wiley & Sons, Ltd.
机译:在影响高山生态系统中影响植物社区的众多环境因素中,岩白过程和地貌的影响最小地研究。经历持续的气候变暖,了解这些因素如何影响植被属性至关重要。在这里,我们研究了位于瑞士阿尔卑斯州西部的三个地点的72个植被块,其特征在于高地貌变异性和植物多样性。对于每种曲线,血管植物物种被清洗,地面温度,土壤水分,地形变量,地球表面处理(ESP)和地域形态学性。使用非度量多维缩放(NMDS)和多变量回归技术(广义线性模型,GLM和广义添加剂模型,GAM)分析了植物群落与环境变量之间的关系。地貌形态学,生长度天(5摄氏度高于5℃)和平均地表温度是植物群落组成最重要的解释变量。此外,通过添加形势变量,可以显着改善物种覆盖和物种丰富性的回归模型。本研究提供了互补的支持,即地貌形态学是一个关键因素,与生长度日期相结合,以解释高山植物分布和社区组成。 (c)2019 John Wiley&Sons,Ltd。

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