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Analyzing Correlations between Stream Benthic Macroinvertebrate Community Structure, Water Quality, and Watershed Land Use in the Continental United States

机译:分析美国本土河流底栖大型无脊椎动物群落结构,水质与流域土地利用之间的相关性

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The objective of this project was to explore national-scale data relationships between land use, primarily variables pertaining to agricultural production, and in-stream biotic conditions in the mainland U.S. Using the Causal Analysis/Diagnosis Decision Information System (CADDIS) and data from the USGS National Water Quality Assessment Program (NAWQA), benthic macroinvertebrate observed versus predicted (0/E) index values were analyzed against a number of land use and habitat variables in 115 sitesacross the U.S. Constituent loads, or the mass amounts of a chemical constituent entering the waterway per year, were estimated for each site using the USGS LOAD-EST program and were evaluated with respect to macroinvertebrate 0/E and land use values. Relationships between variables, defined causally through CADDIS, were analyzed using simple linear regression to avoid analytical bias. Regression analyses indicated that forest and urban land cover were significantly correlated to macroinvertebrate 0/E values (p = 0.0012 and p < 0.001). Consistent and relatively strong positive correlations were found between land use and nutrient loading (p < 0.001 for all constituents). However, contrary to expectations, no correlation was observed between agricultural land use and O/E values, while negative correlations were observed between all nutrient loading variables and O/E values. These national-scale data support the complex process relationship between agricultural land use and benthic macroinvertebrate condition.
机译:该项目的目的是使用因果分析/诊断决策信息系统(CADDIS)和来自美国的数据,探索土地利用(主要是与农业生产有关的变量)与美国本土的流内生物条件之间的国家级数据关系。美国地质调查局国家水质评估计划(NAWQA),对观察到的底栖大无脊椎动物与预测的(0 / E)指数值进行了比较,比较了美国115个站点中大量土地利用和生境变量组成负荷或进入的化学成分的质量使用USGS LOAD-EST程序对每个站点的每年航道进行估算,并就大型无脊椎动物0 / E和土地利用价值进行评估。通过简单的线性回归分析避免了通过CADDIS因果定义的变量之间的关系,从而避免了分析偏差。回归分析表明,森林和城市土地覆盖率与大型无脊椎动物0 / E值显着相关(p = 0.0012和p <0.001)。在土地利用和养分含量之间发现了一致且相对强的正相关关系(对于所有成分,p <0.001)。然而,与预期相反,在农业土地利用与O / E值之间未发现相关性,而在所有养分负荷变量与O / E值之间均发现负相关性。这些国家级数据支持了农业土地利用与底栖大型无脊椎动物条件之间的复杂过程关系。

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