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| Created: | May 04, 2022 at 9:40 a.m. | |
| Last updated: | May 04, 2022 at 11:13 a.m. | |
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Abstract
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.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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