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首页> 外文期刊>Journal of the American Water Resources Association >EVALUATING THE ECO-GEOMORPHOLOGICAL CONDITION OF RESTORED STREAMS USING VISUAL ASSESSMENT AND MACROINVERTEBRATE METRICS
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EVALUATING THE ECO-GEOMORPHOLOGICAL CONDITION OF RESTORED STREAMS USING VISUAL ASSESSMENT AND MACROINVERTEBRATE METRICS

机译：使用视觉评估和无脊椎动物矩阵评估恢复流的生态地貌条件

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The Stream Performance Assessment (SPA), a new rapid assessment method, was applied to 93 restored, 21 impaired, 29 reference, and 13 reference streams with some incision throughout North Carolina. Principal component analysis (PCA) indicated restored streams align more closely with reference streams rather than impaired streams. Further, PCA-based factor analysis revealed restored streams were similar to reference streams in terms of morphologic condition, but exhibited a greater range of scores relative to aquatic habitat and bedform. Macroinvertebrate sampling and GIS watershed analyses were conducted on 84 restored streams. SPA and watershed data were compared to Ephemeroptera, Plecoptera, and Trichoptera (EPT) taxa to determine which factors indicate stream health. SPA and watershed factors were used in least squares, ridge, and principal component regression (PCR) to develop a prediction model for EPT taxa. All three methods produced reasonable predictions for EPT taxa. Cross-validation indicated ridge regression resulted in the lowest prediction error. The ridge model was then used to predict EPT taxa numbers for 21 impaired and 25 reference streams in addition to the 84 restored streams. Statistical comparisons of the predicted scores indicated urban streams (>10% impervious watershed cover) have lower expected numbers of EPT taxa. Rural restored streams have macroinvertebrate metric scores similar to those predicted for rural reference streams.
机译：流性能评估（SPA）是一种新的快速评估方法，已应用于北卡罗来纳州的93条恢复，21条受损，29条参考和13条参考溪流，并有一定的切口。主成分分析（PCA）表明，恢复的流与参考流更紧密地对齐，而不是受损的流。此外，基于PCA的因子分析显示，在形态条件方面，恢复的水流与参考水流相似，但相对于水生生境和床形而言，其分数范围更大。对84条恢复的河流进行了大型无脊椎动物采样和GIS分水岭分析。将SPA和流域数据与星翅目，鞘翅目和毛鳞翅目（EPT）分类进行比较，以确定哪些因素指示河流健康。 SPA和分水岭因子用于最小二乘，山脊和主成分回归（PCR），以建立EPT分类群的预测模型。三种方法都为EPT分类群做出了合理的预测。交叉验证表明，岭回归导致的预测误差最低。然后，除了84个恢复流之外，脊模型还用于预测21个受损流和25个参考流的EPT分类单元号。预测得分的统计比较表明，城市溪流（> 10％的不渗透流域覆盖）具有较低的EPT分类单元预期数量。农村恢复流的宏观无脊椎动物度量值得分与农村参考流预测的得分相似。

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