class='kwd-title'>Method name: Criteria-based ra'/> Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators
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Criteria-based ranking (CBR): A comprehensive process for selecting and prioritizing monitoring indicators

机译:基于标准的排名(CBR):选择监控指标并确定其优先级的综合流程

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摘要

class="kwd-title">Method name: Criteria-based ranking (CBR) process (for indicator selection/prioritization) class="kwd-title">Keywords: Valued ecosystem components (VECs), Indicators, Monitoring, Watershed monitoring, Water monitoring, Indicator selection process class="head no_bottom_margin" id="abs0010title">AbstractResources allocated to natural resource management often fluctuate, requiring the types and numbers of parameters used in monitoring programs (e.g., indicators of ecosystem health) to be frequently reassessed. Conventional approaches to selecting monitoring indicators are often biased and non-inclusive. A new Criteria-based Ranking (CBR) process for selecting and/or prioritizing indicators was tested in the Muskoka River Watershed (Ontario, Canada). The CBR process is based on two environmental assessment tools, Simple Weighted and Leopold matrices. It incorporates environmental components and criteria for assessing each indicator, which generate a score per indicator. The process tested in this study was concluded to be an effective way to prioritize and/or select environmental monitoring indicators. A different set of indicators emerged when a common set of criteria was used to assess monitoring indicators. Benefits of the CBR process include: class="first-line-outdent" id="lis0005">
  • • Standardization of indicator selection process with less bias and lower cost (e.g., time and human resources).
  • • Indicators that are representative of the community and more relevant for decision-making (e.g., more resilient to socio-political change).
  • • Adaptability: (1) to other goals, e.g., selecting from a list of Valued Ecosystem Components (VECs), and (2) to any context through localized scoring criteria. Easily integrated into existing practice.
  • 机译:<!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>方法名称:基于标准的排名(CBR)流程(用于指标选择/优先级设置) class =“ kwd-title“>关键字:有价值的生态系统组成部分(VEC),指标,监测,流域监测,水监测,指标选择过程 class =” head no_bottom_margin“ id =” abs0010title“>摘要分配给自然资源管理的资源经常波动,要求经常重新评估监测计划中使用的参数的类型和数量(例如,生态系统健康指标)。选择监测指标的常规方法通常是有偏见的,并且不具有包容性。在Muskoka河流域(加拿大安大略省)测试了一种用于选择指标和/或对其进行优先排序的基于标准的新排名(CBR)流程。 CBR过程基于两个环境评估工具,即简单加权和Leopold矩阵。它结合了用于评估每个指标的环境要素和标准,从而为每个指标生成一个分数。结论是,这项研究中测试的过程是确定优先级和/或选择环境监测指标的有效方法。当使用一组通用标准来评估监视指标时,就会出现一组不同的指标。 CBR流程的好处包括: class =“ first-line-outdent” id =“ lis0005”> <!-list-behavior =简单前缀-word = mark-type = none最大标签大小= 9- ->
  • •指标选择过程的标准化,具有更少的偏见和更低的成本(例如时间和人力资源)。
  • •代表指标的指标社区,与决策更相关(例如,对社会政治变革更具弹性)。
  • •适应性:(1)对其他目标,例如,从“有价值”清单中选择生态系统组件(VEC),以及(2)通过局部评分标准在任何情况下。轻松集成到现有实践中。
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