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Examining the impacts of changing land use on biological integrity in streams using Geographical Information Systems and statistical modeling

机译:使用地理信息系统和统计模型研究土地用途变化对河流生物完整性的影响

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Land-use activities and land cover of a watershed influence chemical and physical properties of streams which may impact the biota of the aquatic ecosystem. This study was designed to investigate the impacts of the conversion of forests to urbanized land, including construction and development impacts of land use conversion on water quality and biological integrity of streams. Land use and land cover changes, habitat conditions, water quality, and sediment loadings were studied in eleven subwatersheds of the Reedy River Watershed in the South Carolina Piedmont Ecoregion. Physical and chemical datasets and land use data were used as inputs to build a multivariate model using stepwise multiple regression to predict two in-stream biological dependant metrics, including Biotic Index, Final Bioclassification, and two biotic metrics that measure richness and species composition. Univariate statistical analysis among 25 environmental variables and biological indices indicated that watersheds of stable land use differed significantly from watersheds undergoing conversion of forest to urban land uses. Significant correlations were observed between land use and particle size distribution, land use and in-stream physical parameters, and land use and in-stream chemical variables. Multivariate statistical analysis indicated that the principle environmental factors correlated with biological responses were conductivity, land use, and substrate distribution. Significant correlations between Biotic Index, Final Bioclassification, and compositional measures were found with conductivity, suggesting that conductivity may be a good indicator of land use changes and thus a good predictor of biotic indices in these subwatersheds.
机译:流域的土地利用活动和土地覆盖会影响河流的化学和物理特性,这可能会影响水生生态系统的生物群。这项研究旨在调查森林向城市化土地转化的影响,包括土地利用转化对水质和河流生物完整性的建设和发展影响。在南卡罗来纳州皮埃蒙特生态区的里迪河流域的11个子流域,研究了土地利用和土地覆盖变化,栖息地条件,水质和沉积物含量。使用物理和化学数据集以及土地利用数据作为输入,使用逐步多元回归来预测两个流内生物相关指标(包括生物指标,最终生物分类)和两个用于测量丰富度和物种组成的生物指标,以建立多元模型。在25个环境变量和生物学指标之间的单变量统计分析表明,稳定土地利用的集水区与经历了森林转化为城市土地利用的集水区有显着差异。在土地利用与粒度分布,土地利用与河流内物理参数,以及土地利用与河流内化学变量之间观察到显着相关性。多元统计分析表明,与生物反应相关的主要环境因素是电导率,土地利用和底物分布。发现生物指数,最终生物分类和组成指标与电导率之间存在显着相关性,这表明电导率可能是土地利用变化的良好指标,因此也是这些流域中生物指数的良好预测指标。

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