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Linkages between spatial variations in riparian vegetation and floristic quality to the environmental heterogeneity: a case study of river Soan and its associated streams, Pakistan

机译:河岸植被的空间变化与植物质量与环境异质性之间的联系:巴基斯坦苏安河及其相关河流的案例研究

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This study attempts to develop Floristic Quality Index (FQI) as a biological indicator of human influence to evaluate ecological conditions of the River Soan and its feeding tributaries and establish the link between spatial distribution of plant communities to natural and anthropogenic gradients using classification and ordination methods. Plant species abundance data, water quality parameters, physical habitat, land-use types and climatic parameters were collected from 63 sites. Cluster Analysis (CA) identified five spatial groups of sites based on the floristic composition. Correspondence Analysis revealed the impact of urbanization, habitat degradation, and water quality as environmental predictors of anthropogenic stress. Floristic Quality Index (FQI) showed negative correlation with parameter associated with anthropogenic activities. Canonical Correspondence Analysis (CCA) axes were strongly related with FQI scores (r=0.9) and showed sites with least impact from man-made activities had higher FQI values. FQI values were lower for sites surrounded by agricultural or urban land-use types, with hydrologic modification and habitat deterioration. The results can provide a means of using an integrated approach of FQI, vegetation classification and ordination methods to evaluate riparian conditions, suggest continuous monitoring framework for biological indicators over time and assist to evaluate future conservation efforts.
机译:这项研究试图发展植物质量指数(FQI)作为人类影响的生物学指标,以评估苏安河及其支流的生态状况,并使用分类和排序方法建立植物群落的空间分布与自然梯度和人为梯度之间的联系。从63个地点收集了植物物种丰度数据,水质参数,自然栖息地,土地利用类型和气候参数。聚类分析(CA)根据植物组成确定了五个空间位点群。对应分析表明,城市化,栖息地退化和水质的影响是人为压力的环境预测因子。植物质量指数(FQI)与与人为活动相关的参数呈负相关。典范对应分析(CCA)轴与FQI得分密切相关(r => 0.9),并且显示人为活动影响最小的站点的FQI值较高。对于农业或城市土地利用类型包围的站点,其水文质量有所变化,栖息地恶化,其FQI值较低。结果可以提供一种使用FQI,植被分类和排序方法的综合方法来评估河岸条件的方法,建议随着时间的推移持续监测生物指标的框架,并有助于评估未来的保护工作。

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