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首页> 外文期刊>Environmental Management >Linking Altered Flow Regimes to Biological Condition: an Example Using Benthic Macroinvertebrates in Small Streams of the Chesapeake Bay Watershed
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Linking Altered Flow Regimes to Biological Condition: an Example Using Benthic Macroinvertebrates in Small Streams of the Chesapeake Bay Watershed

机译:将改变的流动制度联系在生物学条件下:在切萨皮克湾流域的小溪流中使用底栖大型椎骨门的示例

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摘要

Regionally scaled assessments of hydrologic alteration for small streams and its effects on freshwater taxa are often inhibited by a low number of stream gages. To overcome this limitation, we paired modeled estimates of hydrologic alteration to a benthic macroinvertebrate index of biotic integrity data for 4522 stream reaches across the Chesapeake Bay watershed. Using separate random-forest models, we predicted flow status (inflated, diminished, or indeterminant) for 12 published hydrologic metrics (HMs) that characterize the main components of flow regimes. We used these models to predict each HM status for each stream reach in the watershed, and linked predictions to macroinvertebrate condition samples collected from streams with drainage areas less than 200 km~2. Flow alteration was calculated as the number of HMs with inflated or diminished status and ranged from 0 (no HM inflated or diminished) to 12 (all 12 HMs inflated or diminished). When focused solely on the stream condition and flow-alteration relationship, degraded macroinvertebrate condition was, depending on the number of HMs used, 3.8-4.7 times more likely in a flow-altered site; this likelihood was over twofold higher in the urban-focused dataset (8.7-10.8), and was never significant in the agriculture-focused dataset. Logistic regression analysis using the entire dataset showed for every unit increase in flow-alteration intensity, the odds of a degraded condition increased 3.7%. Our results provide an indication of whether altered streamflow is a possible driver of degraded biological conditions, information that could help managers prioritize management actions and lead to more effective restoration efforts.
机译:区域缩放对小型流的水文改变评估及其对淡水分类群的影响通常受到较少的流量计。为了克服这种限制,我们将水文改变的模型估计与Benthic Macroinvertecrate指数的Benthic Macroinvertence指标进行了4522个溪流的4522个流域。使用单独的随机森林模型,我们预测了12个公布的水文学指标(HMS)的流量状态(膨胀,减少或不确定),其特征在于流动制度的主要成分。我们使用这些模型来预测流域中每个流的每个HM状态,以及与从溪流收集的大于200 km〜2的流动区域收集的大型脊椎动物条件样本的链接预测。流动改变计算为具有膨胀或降低状态的HMS数量,并且范围为0(没有HM膨胀或减少)至12(所有12 HMS充气或减少)。仅在流条件和流动变化关系上专注时,取决于所用的HMS数量,可降低的大型蠕虫性条件,在流动变化的场地上的3.8-4.7倍;这一可能性在城市聚焦的数据集中更高的重二兑换(8.7-10.8),在农业的数据集中绝不是重要的。使用整个数据集的Logistic回归分析显示每个单位的流动改变强度增加,降低病症的几率增加了3.7%。我们的结果提供了改变的流流量是否是劣化的生物条件的可能驾驶员,可以帮助管理者优先考虑管理行动并导致更有效的恢复努力。

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