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将改变的水流状态与生物状况联系起来:以切萨皮克湾流域的小溪中的底栖大型无脊椎动物为例。

Linking Altered Flow Regimes to Biological Condition: an Example Using Benthic Macroinvertebrates in Small Streams of the Chesapeake Bay Watershed.

机构信息

U.S. Geological Survey, Eastern Ecological Science Center, Kearneysville, WV, USA.

U.S. Geological Survey, Lawrence, KS, USA.

出版信息

Environ Manage. 2021 Jun;67(6):1171-1185. doi: 10.1007/s00267-021-01450-5. Epub 2021 Mar 12.

Abstract

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. 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.

摘要

对于小河流和其对淡水生物类群的影响的区域性水文改变评估,通常受到溪流测量站数量较少的限制。为了克服这一限制,我们将水文改变的模拟估计与切萨皮克湾流域 4522 个溪流的底栖大型无脊椎动物生物完整性指数数据进行了配对。我们使用单独的随机森林模型,预测了 12 个描述水流模式主要成分的水文指标(HMs)的水流状态(膨胀、减少或不确定)。我们使用这些模型预测了流域内每个溪流的每个 HM 状态,并将预测结果与从排水面积小于 200km 的溪流中收集的大型无脊椎动物状况样本联系起来。水流改变计算为具有膨胀或减少状态的 HM 数量,范围从 0(没有 HM 膨胀或减少)到 12(所有 12 个 HM 膨胀或减少)。当仅关注溪流状况和水流改变关系时,根据使用的 HM 数量,在水流改变的地点,退化的大型无脊椎动物状况的可能性是正常溪流的 3.8-4.7 倍;在以城市为重点的数据集(8.7-10.8)中,这种可能性要高出两倍以上,而在以农业为重点的数据集则从未显著。使用整个数据集的逻辑回归分析表明,水流改变强度每增加一个单位,退化状况的可能性就会增加 3.7%。我们的研究结果表明水流改变是否可能是生物状况恶化的驱动因素之一,这一信息可以帮助管理者确定管理措施的优先级,从而使恢复工作更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2865/8106597/6ab467383242/267_2021_1450_Fig1_HTML.jpg

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