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Determination of biologically significant hydrologic condition metrics in urbanizing watersheds: an empirical analysis over a range of environmental settings

机译:在城市化流域中确定具有生物学意义的水文条件指标:对一系列环境设置的实证分析

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We investigated the relations among 83 hydrologic condition metrics (HCMs) and changes in algal, invertebrate, and fish communities in five metropolitan areas across the continental United States. We used a statistical approach that employed Spearman correlation and regression tree analysis to identify five HCMs that are strongly associated with observed biological variation along a gradient of urbanization. The HCMs related to average flow magnitude, high-flow magnitude, high-flow event frequency, high-flow duration, and rate of change of stream cross-sectional area were most consistently associated with changes in aquatic communities. Although our investigation used an urban gradient design with short hydrologic periods of record (T1 year) of hourly cross-sectional area time series, these five HCMs were consistent with previous investigations using long-term daily-flow records. The ecological sampling day often was included in the hydrologic period. Regression tree models explained up to 73, 92, and 79% of variance for specific algal, invertebrate, and fish community metrics, respectively. National models generally were not as statistically significant as models for individual metropolitan areas. High-flow event frequency, a hydrologic metric found to be transferable across stream type and useful for classifying habitat by previous research, was found to be the most ecologically relevant HCM; transformation by precipitation increased national-scale applicability. We also investigated the relation between measures of stream flashiness and land-cover indicators of urbanization and found that land-cover characteristic and pattern variables, such as road density, percent wetland, and proximity of developed land, were strongly related to HCMs at both a metropolitan and national scale and, therefore, may be effective land-use management options in addition to wholesale impervious-area reduction.
机译:我们调查了美国大陆上五个大都市地区的83个水文条件指标(HCM)与藻类,无脊椎动物和鱼类群落变化之间的关系。我们使用一种统计方法,该方法采用Spearman相关性和回归树分析来确定与沿城市化梯度观察到的生物变异密切相关的五个HCM。与平均流量大小,高流量大小,高流量事件频率,高流量持续时间和河流截面积变化率相关的HCM与水生群落的变化最一致。尽管我们的调查使用的是每小时截面积时间序列的水文记录时间较短(T1年)的城市梯度设计,但这五个HCM与以前使用长期日流量记录的调查相一致。生态采样日通常包括在水文时期。回归树模型分别针对特定的藻类,无脊椎动物和鱼类群落指标解释了高达73%,92%和79%的方差。国家模型通常不如个别大都市区模型具有统计学上的显着性。高流量事件发生频率是一种与生态学最相关的HCM;高流量事件发生频率是一种可以跨溪流类型转换的水文度量标准,可用于通过先前的研究对生境进行分类。降水转化提高了全国范围的适用性。我们还研究了河水泛滥措施与城市化的土地覆盖指标之间的关系,发现在两个地区,土地覆盖的特征和格局变量(如道路密度,湿地百分比和已开发土地的接近程度)都与HCM密切相关。大都市和国家规模,因此,除了减少不透水区域外,可能是有效的土地利用管理方案。

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