A practicing framework for stream ecosystem management: settingnumerical index of habitats and biodiversity

开发了综合物理生境和生物多样性信息的宽泛空间数据库平台，为更好地进行河流生态系统管理评价和设定数值指标。建立了底栖动物和鱼类(包括珍稀物种)种类预测的统计模型，并根据物理环境资料对地貌生境类型、入侵风险和交互影响进行了排序。对评估结果进行了分组和分级，用于绘制热点图和检测受损站点的目标。这些程序被整合到框架中，以便能够将河流修复的规划和工程联系起来。

The broad spatial database platform synthesized physical habiat and biodiversityinformation was developed to evaluate and set the numerical index for better streamecosystem management. We conducted the statistical model by which the species of thezoobenthos and fishes (including rare species) was forecast, and evaluate thegeomorphological habitat type, invasion risk and the ranking of the alternation impactbased on the physical environmental data. Our assessment resuluts were grouped andhierarchized for mapping hotspot and detecting target for damaged site. These procedurewere integrated on framework to be able to link between the planning and engineering forstream restorations.