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Responsiveness of Great Lakes Wetland Indicators to Human Disturbances at Multiple Spatial Scales: A Multi-Assemblage Assessment

机译:大湖湿地指标在多个空间尺度上对人为干扰的响应能力:多组合评估

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摘要

Developing indicators of ecosystem condition is a priority in the Great Lakes, but little is known about appropriate spatial scales to characterize disturbance or response for most indicators. We surveyed birds, fish, amphibians, aquatic macroinvertebrates, wetland vegetation, and diatoms at 276 coastal wetland locations throughout the U.S. Great Lakes coastal region during 2002-2004. We assessed the responsiveness of 66 candidate indicators to human disturbance (agriculture, urban development, and point source contaminants) characterized at multiple spatial scales (100, 500, 1,000, and 5,000 m buffers and whole watersheds) using classification and regression tree analysis (CART). Non-stressor covariables (lake, ecosection, watershed, and wetland area) accounted for a greater proportion of variance than disturbance variables. Row-crop agriculture and urban development, especially at
机译:制定生态系统状况指标是大湖区的优先事项,但对于描述大多数指标的干扰或响应特征的适当空间尺度知之甚少。在2002年至2004年期间,我们对整个美国大湖沿岸地区的276个沿海湿地进行了鸟类,鱼类,两栖动物,水生大型无脊椎动物,湿地植被和硅藻的调查。我们使用分类和回归树分析(CART)评估了66个候选指标对人为干扰(农业,城市发展和点源污染物)在多个空间尺度(100、500、1,000和5,000 m缓冲区和整个流域)的响应能力)。与胁迫变量相比,非胁迫变量的协变量(湖泊,生态分区,集水区和湿地面积)占更大比例的变量。中耕农业和城市发展,特别是在

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