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Spatial patterns and diversity of alpine vegetation across Langer-Shandur Valley, Hindukush Himalayas

机译:Hindukush喜马拉雅山Langer-Shandur山谷的高山植被的空间格局和多样性

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摘要

While study of regional diversity and spatial distribution of species bears great relevance for conservation and management, Hindukush Himalayan (HKH) alpine zone lacks such information. The present study, through a rapid quantitative assessment of regional flora along Kukush Lake in Langar-Shandoor Valley, provides a better scientific understanding of diversity and distribution of alpine vegetation. Vegetation data were collected from eight sites using stratified random sampling. A total of 51 species (28 plant families) were recorded with an average species richness in the area of 2.14; Simpson's diversity, 0.75; evenness, 0.79 and average degree of community maturity index of 44%. Detrended correspondence analysis (DCA), regression analyses and factor analyses were used to identify vegetation associations. DCA clearly separated the associations along the first two axes. Altitude and moisture contents appeared to be key environmental factors governing the diversity and distribution of alpine vegetation. A negative correlation of altitude with diversity and richness was revealed. Vegetation exhibited significant variations in the diversity and distribution along the sampled sites. These variations may be attributed to the prevalent anthropogenic and livestock disturbances. The implications of the results have been discussed to highlight the conservation needs for protection of endemic floral elements in HMI alpine region.
机译:尽管对物种的区域多样性和空间分布的研究与保护和管理息息相关,但兴都库什喜马拉雅山(HKH)高山地区却缺乏此类信息。通过快速定量评估Langar-Shandoor山谷的库库什湖沿岸的植物区系,本研究对高山植被的多样性和分布提供了更好的科学理解。使用分层随机抽样从八个地点收集了植被数据。总共记录了51种(28个植物科),平均物种丰富度为2.14。辛普森的多样性为0.75;均匀度为0.79,社区成熟度平均指数为44%。去趋势对应分析(DCA),回归分析和因子分析被用于识别植被关联。 DCA沿前两个轴清楚地分离了关联。海拔高度和水分含量似乎是控制高山植被多样性和分布的关键环境因素。揭示了海拔与多样性和丰富度之间的负相关关系。植被沿采样点的多样性和分布表现出显着变化。这些变化可能归因于普遍的人为和牲畜干扰。已经讨论了结果的含义,以强调保护HMI高寒地区特有花卉元素的保护需求。

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