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首页> 外文期刊>Nature environment and pollution technology >Towards A Rapid and Repeatable Assessment Indicator System for Wetland Ecosystems: Example from the Poyang Lake National Nature Reserve, China
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Towards A Rapid and Repeatable Assessment Indicator System for Wetland Ecosystems: Example from the Poyang Lake National Nature Reserve, China

机译:建立快速,可重复的湿地生态系统评价指标体系:以the阳湖国家级自然保护区为例

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Six wetland sites in the Poyang Lake, the largest freshwater lake in China, were sampled by two observerswith different levels of experience following a two-day training workshop for a suite of scientifically defensible,rapid and repeatable indicator system that can serve as a blueprint to be used routinely in the area. Aprobabilistic random-stratified sampling design was used to select sites to be sampled. Field protocolsconsisted of different sections including scoring boundary forms, and quantitative ratings. Metric scoreswere assigned using the ratings for the current state of the wetland, without regard for what the wetlandmight have been in the past, or what it might become in the future. The variance in observer to observerscoring at each site was used to calculate pooled standard deviations, coefficients of variation, and signal-to-noise ratios for each survey. The results showed that the relationship between pairs of observer scoreshad little observer bias (rho = 0.845, p < 0.01) for all the sites in the surveyed. Training could have had asignificant contribution to observer to observer repeatability. We are confident that, as developed, theseindicators could be successfully applied for monitoring and assessing wetlands, recognizing that furtherfield testing and verifications are still needed.
机译:在为期两天的培训讲习班上,由两位具有不同经验的观察员对sample阳湖(中国最大的淡水湖)的六个湿地进行了采样,该研讨会针对一套科学上可辩驳的,快速的和可重复的指标体系进行了培训,这些指标体系可作为通常在该地区使用。静默随机分层抽样设计用于选择要抽样的地点。现场协议由不同部分组成,包括评分边界形式和定量评分。使用湿地当前状态的等级分配度量标准分数,而不考虑过去的湿地可能状况或将来的湿地状况。每个站点上观察者与观察者评分的方差用于计算每个调查的合并标准偏差,变异系数和信噪比。结果表明,在所有调查地点中,成对的观察者分数之间的关系几乎没有观察者偏差(rho = 0.845,p <0.01)。培训对观察者的可重复性可能有重大贡献。我们相信,随着开发,这些指标可以成功地用于监测和评估湿地,认识到仍然需要进一步的现场测试和验证。

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