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Risk-based classification and interactive map of watersheds contributing anthropogenic stress to Laurentian Great Lakes coastal ecosystems

机译:流域的风险分类和互动地图为劳伦特伟大的湖泊沿海生态系统提供人为压力

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摘要

We describe development anthropogenic stress indices for coastal margins of the Laurentian Great Lakes basin. Indices were derived based on the response of species assemblages to watershed-scale stress from agriculture and urbanization. Metrics were calculated for five groups of wetland biota: diatoms, wetland vegetation, aquatic invertebrates, fishes, and birds. Previously published community change points of these assemblages were used to classify each watershed as 'least-disturbed', 'at-risk', or 'degraded' based on community response to these stressors. The end products of this work are an on-line map utility and downloadable data that characterize the degree of agricultural land use and development in all watersheds of the US and Canadian Great Lakes basin. Discrepancies between the observed biological condition and putative anthropogenic stress can be used to determine if a site is more degraded than predicted based on watershed characteristics, or if remediation efforts are having beneficial impacts on site condition. This study provides a landscape-scale evaluation of wetland condition that is a critical first step for multi-scale assessments to help prioritize conservation or restoration efforts. (C) 2019 The Authors. Published by Elsevier B.V. on behalf of International Association for Great Lakes Research.
机译:我们描述了劳伦特湖盆地沿海边缘的发展人为压力指标。基于物种组合与农业和城市化的流域压力的响应来得出指数。为五组湿地Biota计算指标:硅藻,湿地植被,水生无脊椎动物,鱼类和鸟类。以前公布的这些组件的社区变更点用于将每个流域分类为“最小不安”,“风险”,“风险”,或“退化”或“退化”,或“退化”,或“退化”对这些压力源的响应。这项工作的最终产品是一条在线地图实用程序和可下载数据,可在美国和加拿大大湖泊盆地的所有流域的农业用地利用和开发程度的可下载数据。观察到的生物状况和推定的人为应激之间的差异可用于确定位点是否比基于流域特征所预测的部位更加降低,或者如果修复努力对现场情况有益影响。本研究提供了湿地条件的景观规模评估,这是多规模评估的关键第一步,有助于保护保守或恢复努力。 (c)2019年作者。由elsevier b.v出版。代表国际大湖泊研究协会。

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