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Phytogeographic classification using multivariate approach; a case study from the Jambil valley Swat, Pakistan

机译:使用多变量方法的Phytogeographic分类;吉尔谷斯瓦特,巴基斯坦案例研究

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Phytogeography is concerned with the past and present distribution of vegetation on the earth surface. The distribution of plants is neither even nor random on earth surface but follow a definite geographic pattern. The present study was aimed to find out phytogeographic pattern of plants distribution and subsequent classification of plant species of the Jambil Valley, District Swat Pakistan using multivariate statistic techniques. Sampling of vegetation was done using quadrats of 1 × 1 m 2 for herbs, 5 × 5 m 2 for shrubs and 10 × 10 m 2 for trees. The data were analyzed by PCORD v. 5 and CANOCO 4.5. The studies revealed that the vegetation of Jambil valley belongs to eighteen different phytogeographic elements. The highest percentage of elements (19.4%) belongs to Western-Himalayan region, followed by Cosmopolitan (13.9%), Eurasian (10.6%), Irano - turanian (10%), Paleotropical (9.4%), Eastern Asiatic and Mediterranean (6.7% each), Euro-Siberian (5.6%), Holoarctic (3.9%), Pantropical (3.3%), Sub-cosmopolitan (2.8%), Saharo-Arabian (2.2%), Eastern-Himalayan (1.7%), Central Asian and Neotropical (1.1% each), Pantemperate, Australian and Sudano-Zambezian (0.6% each). CANOCO correlated phytogeographical data with environmental factors, which showed significant effect of environmental variables on phytogeographical patterns. It is clear from our results that higher pH, electrical conductivity, moderate sand and silt, phosphorous and nitrogen have great impact on distribution of phytogeographical elements. The Western Himalayan elements having narrow geographic range require immediate attention and conservation efforts.
机译:植物地理涉及地球表面上的过去和目前分布。植物的分布既不是地球表面也不是随机的,但遵循明确的地理模式。本研究旨在发现植物分布的植物分布和随后分类的jambil谷的植物种类,利用多元统计技术。使用1×1m 2的植物的植被采样,用于草药,5×5m 2用于灌木和10×10m 2的树木。通过PCORD v分析数据5和Canoco 4.5。研究表明,Jambil Valley的植被属于十八不同的植物地图元素。最高百分比的元素(19.4%)属于西喜喜马拉雅地区,其次是国际大都会(13.9%),欧亚(10.6%),伊朗 - 村(10%),古罗典(9.4%),东部亚洲和地中海(6.7 %各自),欧洲西伯利亚(5.6%),储荷(3.9%),储息(3.3%),亚马哈罗阿拉伯(2.2%),东部喜马拉雅(1.7%),中亚和新生儿(每次1.1%),易手术,澳大利亚和苏丹 - 赞鸟(每次0.6%)。 Canoco与环境因素相关的植物地图数据,对环境变量对植物地图模式显示出显着影响。从我们的结果清楚地看出,pH值,导电性,适度的沙子和淤泥,磷和氮产生较高,对植物地图分布产生很大影响。具有狭窄地理范围的喜马拉雅元素需要立即关注和保护努力。

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