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首页> 外文期刊>International journal of remote sensing >Use of GIS and remotely sensed data for a priori identification of reference areas for Great Lakes coastal ecosystems
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Use of GIS and remotely sensed data for a priori identification of reference areas for Great Lakes coastal ecosystems

机译：利用GIS和遥感数据先验确定大湖沿岸生态系统参考区域

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Identification of reference conditions for ecological assessments of coastal ecosystems poses a challenging problem in highly modified landscapes. A method is described for characterizing disturbance in coastal ecosystems Using remotely sensed land classification and other publicly available GIS data. Within ecoregions bordering the US Great Lakes coast, aquatic habitats bordering the shoreline were classified into five ecological types: high-energy shoreline, embayments, open-coast, river-influenced and protected wetlands. Degree of anthropogenic disturbance in contributing areas to these ecosystems was assessed using a watershed approach for wetland types or a moving window approach for high-energy shorelines. Anthropogenic stress variables included proportions of agricultural or residential land use, information on population and road density, and distance from the nearest point source. Polygons (wetlands) or pixels (high-energy shoreline) were categorized as 'reference' if the magnitude of the most severe stressor, based on its cumulative frequency distribution within that ecoregion, placed it within the lowest 20th percentile. For shorelines, adjacent 'reference' pixels were agglomerated into polygons and a final ranking of polygons containing at least 2 km of shoreline was used to identify candidate reference areas. A subset of these sites is currently being sampled for fish, macroinvertebrates and physical habitat attributes. This a priori approach to reference area identification will allow managers to identify biological correlates of reference conditions, providing a benchmark for bioassessment and restoration efforts in coastal regions.
机译：在高度修改的景观中，确定沿海生态系统生态评估的参考条件提出了一个具有挑战性的问题。描述了一种利用遥感土地分类和其他公共GIS数据表征沿海生态系统扰动的方法。在与美国大湖沿岸接壤的生态区域内，与海岸线接壤的水生生境被分为五种生态类型：高能海岸线，隔离带，开阔海岸，受河流影响和受保护的湿地。使用针对湿地类型的分水岭方法或针对高能海岸线的移动窗口方法，评估了对这些生态系统有贡献的地区的人为干扰程度。人为压力变量包括农业或住宅用地的比例，人口和道路密度的信息以及距最近点源的距离。如果最严重的压力源的大小（基于该生态区内的累积频率分布）位于最低的第20个百分位，则将多边形（湿地）或像素（高能海岸线）归类为“参考”。对于海岸线，将相邻的“参考”像素聚集成多边形，并使用包含至少2 km海岸线的多边形的最终排名来识别候选参考区域。目前正在对这些场所的一部分进行采样，以用于鱼类，大型无脊椎动物和自然栖息地属性。这种先验的参考区域识别方法将使管理人员能够识别参考条件的生物学相关性，为沿海地区的生物评估和恢复工作提供基准。

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