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首页> 外文期刊>Journal of the American Water Resources Association >STREAM ASSESSMENTS USING BIOTIC INDICES: RESPONSES TO PHYSICOCHEMICAL VARIABLES
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STREAM ASSESSMENTS USING BIOTIC INDICES: RESPONSES TO PHYSICOCHEMICAL VARIABLES

机译：使用生物指数进行的流评估：对物理化学变量的响应

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摘要

Responses of the Wyoming Stream Integrity Index (WSII), a regionally calibrated multimetric index, were investigated in relation to background elevational changes in water quality and habitat conditions versus accelerated anthropogenic degradation at the watershed scale. Assessments were conducted for three rivers in southeast Wyoming: the Little Medicine Bow River, the Medicine Bow River, and Rock Creek. Pearson correlation coefficients and regression models related "core metrics" and index scores to elevational gradients of physicochemical variables. Velocity, substrate, and weighted habitat values were positively correlated to index scores, while suspended solids was negatively correlated. The exclusive dependence of index scores on physical variables specifies the type of environmental gradients the WSII is most robust in detecting. The individual "core metrics" Plecoptera taxa, Trichoptera taxa, percent Trichoptera without Hydropsychidae, and percent noninsects appeared most sensitive to physical changes and were thus driving associations between index scores and physical variables. Despite strong correlations with physical variables, anomalies existed where habitat conditions were good, unknown stressors existed, or gradients were naturally occurring despite "Poor" index scores (i.e., degraded stream conditions). Such findings illustrate the influence of regional variability on biotic indices and the importance of identifying sufficient reference and impaired stream reaches used to develop and calibrate multimetric indices relying on reference conditions.
机译：调查了怀俄明河完整性指数（WSII）的响应，该指数是区域校准的多指标指标，与水质和栖息地条件的背景海拔变化相对于流域尺度上的人为加速降解有关。对怀俄明州东南部的三条河流进行了评估：Little Medicine Bow河，Medicine Bow河和Rock Creek。皮尔逊相关系数和回归模型将“核心指标”和指数得分与理化变量的海拔梯度相关。速度，底物和生境加权值与指数得分呈正相关，而悬浮固体呈负相关。索引分数对物理变量的排他性依赖关系决定了WSII在检测方面最可靠的环境梯度类型。个体的“核心指标”有鳞翅目，紫翅目，没有水生精神科的翅翅目百分比和非昆虫百分比似乎对物理变化最敏感，因此正在推动指数得分与物理变量之间的关联。尽管与物理变量具有很强的相关性，但在栖息地条件良好，存在未知压力源或自然地出现梯度的地方存在异常，尽管指数得分很低（即河流条件退化）。这样的发现说明了区域变异性对生物指标的影响，以及识别足够的参考和受损流域的重要性，这些参考和受损流用于依赖参考条件来开发和校准多指标。

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