Brooks R, McKenney-Easterling M, Brinson M, Rheinhardt R, Havens K, O'Brien D, Bishop J, Rubbo J, Armstrong B, Hite J
Penn State Cooperative Wetlands Center, Department of Geography, Pennsylvania State University, University Park, PA 16802, USA.
Environ Monit Assess. 2009 Mar;150(1-4):101-17. doi: 10.1007/s10661-008-0673-z. Epub 2008 Dec 12.
As part of a regional study by the Atlantic Slope Consortium (ASC) to develop ecological and socioeconomic indicators of aquatic ecosystem condition, we developed and tested a protocol for rapidly assessing condition of the stream, wetland, and riparian components of freshwater aquatic ecosystems. Aspects of hydrology, vegetation, in-stream and wetland characteristics, and on-site stressors were measured in the field. The resulting metrics were used to develop an index of overall condition, termed the Stream-Wetland-Riparian (SWR) Index. Values of this Index were compared to existing biotic indices and chemical measures, and to a Landscape Index created using satellite-based land cover data and a geographic information system (GIS). Comparisons were made at several levels of spatial aggregation and resolution, from site to small watershed. The SWR Index and associated Landscape Indices were shown to correlate highly with biological indicators of stream condition at the site level and for small contributing areas. The landscape patterns prevalent throughout the entire watershed do not necessarily match the patterns found adjacent to the stream network. We suggest a top-down approach that managers can use to sequentially apply these methods, to first prioritize watersheds based on a relative condition measure provided by the Landscape Index, and then assess condition and diagnose stressors of aquatic resources at the subwatershed and site level.
作为大西洋斜坡联盟(ASC)开展的一项区域研究的一部分,该研究旨在制定水生生态系统状况的生态和社会经济指标,我们制定并测试了一套用于快速评估淡水水生生态系统中溪流、湿地和河岸组成部分状况的方案。在实地测量了水文、植被、溪流和湿地特征以及现场压力源等方面。所得指标用于制定一个总体状况指数,称为溪流 - 湿地 - 河岸(SWR)指数。将该指数的值与现有的生物指数和化学指标进行比较,并与使用基于卫星的土地覆盖数据和地理信息系统(GIS)创建的景观指数进行比较。在从站点到小流域的几个空间聚集和分辨率级别上进行了比较。结果表明,SWR指数和相关的景观指数在站点级别和小汇水区域与溪流状况的生物指标高度相关。整个流域普遍存在的景观格局不一定与溪流网络附近发现的格局相匹配。我们建议采用一种自上而下的方法,管理人员可以依次应用这些方法,首先根据景观指数提供的相对状况测量对流域进行优先排序,然后在子流域和站点级别评估水生资源的状况并诊断压力源。