Development and Testing of a Decision Support System for River Restoration

河流恢复决策支持系统的开发和测试

• 批准号: 9900679
• 负责人: David Allan
• 金额: $ 0.96万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-15 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9900679&HistoricalAwards=false
• 关键词: Development; Testing; Decision; Support; System

ABSTRACT99-00679AllanW/WS: Development and testing of a decision support system for river restorationThe objective of this research is to use an interdisciplinary approach to explore how landscape change affects river ecosystems, and to evaluate restoration priorities. Using spatial data, the investigators will quantify landscape properties as possible predictors of stream condition. Physical and biological variables will provide independent assessment of stream condition, enabling the PIs to determine relationships between human activities and the ecological state of the river system. Available best management practices and innovative forms of human settlement that are preferred by the local community will be integrated into statistical models between land use and stream condition to examine the interaction between social acceptability and restoration potential. Through economic evaluation of alternative land management practices the PIs will evaluate the costs of restoration alternatives. The expected outcome is a generalized set of quantitative analysis tools that will enable decision-makers to target rehabilitation needs and opportunities based on innovative alternatives to land use, expected impact on ecological integrity, and estimated cost.

摘要/ abstract摘要：河流修复决策支持系统的开发与测试本研究的目的是利用跨学科方法探讨景观变化对河流生态系统的影响，并评估修复优先级。利用空间数据，研究人员将量化景观属性，作为河流状况的可能预测因素。物理和生物变量将提供对河流状况的独立评估，使pi能够确定人类活动与河流系统生态状态之间的关系。现有的最佳管理做法和当地社区所喜欢的创新的人类住区形式将纳入土地利用和河流条件之间的统计模型，以审查社会接受程度和恢复潜力之间的相互作用。通过对替代性土地管理实践的经济评价，项目指标者将评估各种恢复方案的成本。预期结果是一套通用的定量分析工具，使决策者能够根据土地使用的创新替代方案、对生态完整性的预期影响和估计成本，确定修复需求和机会。