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How to Create a Regional Diatom-Based Index: Demonstration from the Yuqiao Reservoir Watershed, China
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Diatom-based indices derived from the percentage of diatom taxa groups can be used to assess water quality. As some diatoms are location-dependent, such diatom indices are correspondingly location-dependent and the regional classification of taxa group is thereby needed. This study aims to demonstrate how to create a regional diatom assemblage index (YRDAI) based on a case study from the Yuqiao Reservoir watershed, China. Herein, we proposed a simple taxa classification approach based on the correlation between pollutant concentration and diatom abundance, and compared it with the traditional approach based on the coexistence index. Using the two approaches, a total of 34 diatom taxa groups were reclassified for localization of the well-known DAIpo index. The YRDAI was then derived from the reclassified diatom taxa groups. The results in the Yuqiao Reservoir watershed showed that the correlation-based YRDAIcor scores could better reflect the pollution levels of COD and TP than the coexistence-based YRDAIco scores and the original DAIpo scores with the unreclassified taxa groups. It can be expected that the precision of YRDAI can be improved with the accumulation of the diatom data, and the above approaches can be applied to other watersheds for making their own regional indices.
Title: How to Create a Regional Diatom-Based Index: Demonstration from the Yuqiao Reservoir Watershed, China
Description:
Diatom-based indices derived from the percentage of diatom taxa groups can be used to assess water quality.
As some diatoms are location-dependent, such diatom indices are correspondingly location-dependent and the regional classification of taxa group is thereby needed.
This study aims to demonstrate how to create a regional diatom assemblage index (YRDAI) based on a case study from the Yuqiao Reservoir watershed, China.
Herein, we proposed a simple taxa classification approach based on the correlation between pollutant concentration and diatom abundance, and compared it with the traditional approach based on the coexistence index.
Using the two approaches, a total of 34 diatom taxa groups were reclassified for localization of the well-known DAIpo index.
The YRDAI was then derived from the reclassified diatom taxa groups.
The results in the Yuqiao Reservoir watershed showed that the correlation-based YRDAIcor scores could better reflect the pollution levels of COD and TP than the coexistence-based YRDAIco scores and the original DAIpo scores with the unreclassified taxa groups.
It can be expected that the precision of YRDAI can be improved with the accumulation of the diatom data, and the above approaches can be applied to other watersheds for making their own regional indices.
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