LakeEcoMissingData

Ecological potential indicators, stemming from field measurements, are often subject to data gaps. This is an obstacle to constructing reliable assessments of the lakes condition, leading to the abandonment of evaluation or the use of methods based merely on their availability. Both of these approaches may result in the loss of the information capacity of the indicators created. Furthermore, the defect management approaches' lack of consistency and reproducibility causes future measurement sets to lose stability, adding to the exacerbation of the data drift phenomena in assessment sets. A methodology for expert-analyst interaction during missing data treatment is proposed in this paper based on the findings of measurements of ecological status indicators. The beneficiaries of this article are specialists and analysts who work in teams to assess the ecological state of lake ecosystems, then present and interpret the findings in reports, public consultations, and discussions with key decision makers.

生态潜力指标（Ecological potential indicators）多源于野外实地测量，往往存在数据缺口问题。此类缺口会对湖泊健康状况的可靠评估构成阻碍，进而导致评估工作被迫搁置，或是仅基于现有可用数据选择评估方法。上述两种处理路径均可能造成所构建指标的信息容量损耗。此外，现有缺失数据处理方法缺乏一致性与可复现性，会导致后续测量数据集丧失稳定性，进一步加剧评估数据集内的数据漂移现象。本文基于湖泊生态状态指标的实测成果，提出了一种在缺失数据处理流程中实现专家与分析师协同互动的方法论。本文的受众为以团队形式开展湖泊生态系统健康评估，并需在研究报告、公众咨询及与核心决策者的研讨中呈现与解读评估结果的专家与分析师。