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Multivariate analyses of the vegetation of the western Himalayan forests of Muzaffarabad district, Azad Jammu and Kashmir, Pakistan

机译:巴基斯坦阿扎德查and和克什米尔穆扎法拉巴德地区西部喜马拉雅森林植被的多变量分析

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Muzaffarabad district, Azad Jammu and Kashmir, Pakistan is part of the western Himalaya and rich in phytodiversity, but until now little was known about its plant diversity on larger spatial scale and vegetation composition through multivariate statistical tools. To fill this research gap, the whole district was ecologically explored for the collection of field data from August 2014 to July 2016. For vegetation studies, a total of 16 altitudinal transects comprising 110 sampling stations (samples) with 990 plots were studied by using a stratified random vegetation sampling method. Different multivariate statistical tools including Monte Carlo permutation test, Indicator species analysis, hierarchical clustering, ordination, variation partitioning and multi-response permutation procedures tests were used for the first time for the study area to elucidate the number of significant vegetation groups, ranking and placement of plant species in these groups, classification of vegetation units, detection of important gradients, importance of groups of environmental variables and pairwise compositional differences of the species groups respectively. The results showed that all the recorded 343 plant species belong to seven significant plant associations which were further placed into 5 major forest types. Out of the total 19 variables studied, CCA detected the significant contribution of the majority (simple effects: 12; unique effects: 8) of them. The latter (unique effects) in descending order included altitude, forest cover, deforestation, community maturity, forest density, latitude, slope aspect, and longitudinal variations. Similarly, variation partitioning results depicted that topography was the leading driver affecting vegetation distribution, followed by the biotic and edaphic factors. The forest edges, especially the sub-alpine ecosystem, were most diverse, supported higher tree density and also faced maximum deforestation pressure. Furthermore, rangelands in the temperate to alpine zones were affected by heavy overgrazing. Due to the disrupted local ecosystem functioning, the study area needs proper management and conservations plans to save its biodiversity wealth in this part of western Himalaya.
机译:巴基斯坦的Azad Jammu和克什米尔的Muzaffarabad地区是喜马拉雅西部的一部分,植物多样性丰富,但是直到现在,通过多元统计工具仍无法了解其在较大空间范围内的植物多样性和植被组成。为了填补这一研究空白,我们从2014年8月至2016年7月对整个地区进行了生态探索,以收集野外数据。对于植被研究,总共使用了110个采样站(样本)和990个样地,共研究了16个垂直样带。分层随机植被采样方法。研究区域首次使用了不同的多元统计工具,包括蒙特卡洛置换试验,指标物种分析,层次聚类,排序,变异分区和多响应置换程序测试,以阐明重要植被群的数量,排名和位置这些组中植物物种的分布,植被单位的分类,重要梯度的检测,环境变量组的重要性以及物种组的成对组成差异。结果表明,所有记录的343种植物属于7个重要的植物协会,并进一步划分为5种主要的森林类型。在研究的全部19个变量中,CCA发现了其中的大多数(简单效应:12;独特效应:8)的显着贡献。后者(独特的影响)以降序排列,包括海拔,森林覆盖率,森林砍伐,社区成熟度,森林密度,纬度,坡度和纵向变化。同样,变异划分结果表明,地形是影响植被分布的主要驱动力,其次是生物因子和水生因子。森林边缘,尤其是亚高山生态系统边缘最多样化,支持更高的树木密度,还面临最大的毁林压力。此外,温带至高山地区的牧场受到过度放牧的影响。由于当地生态系统功能的中断,研究区域需要适当的管理和保护计划,以保存其在喜马拉雅山西部的生物多样性财富。

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