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Physical Habitat and Fish Assemblage Relationships with Landscape Variables at Multiple Spatial Scales in Wadeable Iowa Streams

机译:衣阿华河人流中多个空间尺度下景观变量的物理栖息地和鱼类聚集关系

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摘要

Landscapes in Iowa and other midwestern states have been profoundly altered by conversion of native prairies to agriculture. We analyzed landscape data collected at multiple spatial scales to explore relationships with reach-scale physical habitat and fish assemblage data from 93 randomly selected sites on second- through fifth-order wadeable Iowa streams. Ordination of sites by physical habitat showed significant gradients of channel shape, habitat complexity, substrate composition, and stream size. Several landscape variables were significantly associated with the physical habitat ordination. Row crop land use was associated with fine substrates and steep bank angles, whereas wetland land cover and greater sinuosity and catchment land area were associated with complex channel and bank morphology and greater residual pool volume, woody debris, and canopy cover. Thirteen landscape variables were significant predictors of physical habitat variables in multiple linear regressions, with adjusted R 2 values ranging from 0.07 to 0.74. Inclusion of landscape variables with physical habitat variables in multiple regression models predicting fish assemblage metrics and a fish index of biotic integrity resulted in negligible improvements over models based on only physical habitat variables. Physical habitat in wadeable Iowa streams is strongly associated with landscape characteristics. Results of this study and previous studies suggest that (1) landscape factors directly influence physical habitat, (2) physical habitat directly influences fish assemblages, and (3) the influence of landscape factors on fish assemblages is primarily indirect. Understanding how landscape factors, such as human land use, influence physical habitat and fish assemblages will help managers make more informed decisions for improving Iowa\u27s wadeable streams.
机译:爱荷华州和其他中西部各州的景观已因当地草原向农业的转变而发生了深刻的变化。我们分析了在多个空间尺度上收集的景观数据,以探索与二阶至五阶可爱荷华州溪流中93个随机选择的站点的触手可及的栖息地和鱼类种群数据的关系。通过物理栖息地对地点进行排序显示出渠道形状,栖息地复杂性,底物组成和河流大小的显着梯度。一些景观变量与自然栖息地排序显着相关。耕作土地的使用与良好的基质和陡峭的河岸角有关,而湿地的土地覆盖,较高的弯曲度和集水区面积与复杂的河道和河岸形态以及更大的残留库容,木屑和冠层覆盖有关。十三项景观变量是多元线性回归中物理栖息地变量的重要预测因子,调整后的R 2值范围为0.07至0.74。将景观变量与物理栖息地变量包括在多个预测鱼类组合指标和鱼类生物完整性指数的回归模型中,与仅基于物理栖息地变量的模型相比,改善程度可忽略不计。衣阿华河水道的物理栖息地与景观特征密切相关。这项研究和以前的研究结果表明,(1)景观因素直接影响自然栖息地,(2)物理栖息地直接影响鱼类的聚集,(3)景观因素对鱼类聚集的影响主要是间接的。了解诸如人类土地使用等景观因素如何影响自然栖息地和鱼类聚集,将有助于管理人员做出更明智的决定,以改善爱荷华州的可步行溪流。

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