Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.

本数据集隶属于美国地质调查局（U.S. Geological Survey, USGS）发起的五大湖沿岸湿地修复评估（Great Lakes Coastal Wetland Restoration Assessment, GLCWRA）项目。本数据集表征安大略湖修复评估（Lake Ontario Restoration Assessment, LORA）研究区内堤坝的空间分布。GLCWRA项目旨在甄别具有最高生境修复潜力的沿岸湿地片区。该数据模型采用7项参数对湿地修复片区进行甄别与优先级排序，最终生成综合指数栅格，可供生态管理者与规划人员辅助筛选湿地修复场址。本次采用的7项参数分别为：参数0：掩膜（Mask）、参数1：水文周期（Hydroperiod）、参数2：湿地土壤（Wetland Soils）、参数3：汇流线（Flowlines）、参数4：保护与休闲用地（Conservation and Recreation Lands）、参数5：不透水面（Impervious Surfaces）、参数6：土地利用（Land Use，指代无不透水面但社会价值较高的开发区域）。辅助数据涵盖堤坝、汇流线、研究区范围与涵洞。将上述数据图层导入生态模型进行运算，最终生成带有修复优先级排序的综合修复指数。