Ecosystem Health Assessment of Hulun Lake Using an eDNA Metabarcoding‐Based Phytoplankton Index of Biotic Integrity
4 affiliations
- 1School of Ecology and Environment Inner Mongolia University Hohhot China
- 2Inner Mongolia Key Laboratory of River and Lake Ecology Hohhot China
- 3Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau Hohhot China
- 4Ecological and Agricultural Meteorological Center of Inner Mongolia Autonomous Region Hohhot China
Abstract
Hulun Lake, one of the largest freshwater lakes in China, is currently experiencing significant water quality deterioration. Therefore, water quality assessment is of paramount importance, as it not only provides critical insights into the current pollution status of lakes but also offers a scientific basis for effective lake management and ecological restoration. Using environmental DNA‐metabarcoding data from 13 sampling sites in Hulun Lake in June 2023, our study explored the spatial variation of α‐diversity, the community composition, and phytoplankton index of biotic integrity (P‐IBI). A total of 431 phytoplankton species were identified across 10 phyla, 191 families, and 335 genera, with Chlorophyta and Bacillariophyta predominating. Biodiversity was higher in the northern and southern regions, except for the site XHK, but lower in the central region. P‐IBI scores exhibited clear spatial variation, with relatively high scores in the central and northern regions, except for the site XHK, indicating comparatively favorable ecological conditions. In contrast, lower P‐IBI scores were observed in the southern region, except for DNHWZ and GZ, suggesting relatively greater ecological degradation. The P‐IBI scores were significantly negatively correlated with Water Quality Index (WQI) values, indicating that higher biotic integrity was generally associated with better physicochemical water quality. RDA and Spearman rank correlation analyses revealed that ammonia nitrogen (NH ₃ –N) and total organic carbon (TOC) were positively correlated with P‐IBI, whereas temperature (T) and total nitrogen (TN) showed negative correlations with P‐IBI, indicating that spatial variation in P‐IBI was closely associated with nutrient status and organic carbon availability. Lake management should integrate both P‐IBI and WQI‐based assessment approaches, providing a scientifically robust basis for the identification of environmental pressures and the diagnosis of ecological health.
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BibTeX
@article{an2026ecosystem,
title = {{Ecosystem Health Assessment of Hulun Lake Using an eDNA Metabarcoding‐Based Phytoplankton Index of Biotic Integrity}},
author = {Qi An and Ruiying Fu and Hao Cui and Yuan Wang and Yihan Huo and Yang Bai and Wei Ding and Bowen Xiao and Chengzhen Jia and Huamin Liu and Lixin Wang},
journal = {Ecology and Evolution},
year = {2026},
month = oct,
doi = {10.1002/ece3.74543},
url = {https://onlinelibrary.wiley.com/doi/10.1002/ece3.74543},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Ecosystem Health Assessment of Hulun Lake Using an eDNA Metabarcoding‐Based Phytoplankton Index of Biotic Integrity
AU - Qi An
AU - Ruiying Fu
AU - Hao Cui
AU - Yuan Wang
AU - Yihan Huo
AU - Yang Bai
AU - Wei Ding
AU - Bowen Xiao
AU - Chengzhen Jia
AU - Huamin Liu
AU - Lixin Wang
PY - 2026
DA - 2026/10/27
JO - Ecology and Evolution
DO - 10.1002/ece3.74543
UR - https://onlinelibrary.wiley.com/doi/10.1002/ece3.74543
AB - Hulun Lake, one of the largest freshwater lakes in China, is currently experiencing significant water quality deterioration. Therefore, water quality assessment is of paramount importance, as it not only provides critical insights into the current pollution status of lakes but also offers a scientific basis for effective lake management and ecological restoration. Using environmental DNA‐metabarcoding data from 13 sampling sites in Hulun Lake in June 2023, our study explored the spatial variation of α‐diversity, the community composition, and phytoplankton index of biotic integrity (P‐IBI). A total of 431 phytoplankton species were identified across 10 phyla, 191 families, and 335 genera, with Chlorophyta and Bacillariophyta predominating. Biodiversity was higher in the northern and southern regions, except for the site XHK, but lower in the central region. P‐IBI scores exhibited clear spatial variation, with relatively high scores in the central and northern regions, except for the site XHK, indicating comparatively favorable ecological conditions. In contrast, lower P‐IBI scores were observed in the southern region, except for DNHWZ and GZ, suggesting relatively greater ecological degradation. The P‐IBI scores were significantly negatively correlated with Water Quality Index (WQI) values, indicating that higher biotic integrity was generally associated with better physicochemical water quality. RDA and Spearman rank correlation analyses revealed that ammonia nitrogen (NH ₃ –N) and total organic carbon (TOC) were positively correlated with P‐IBI, whereas temperature (T) and total nitrogen (TN) showed negative correlations with P‐IBI, indicating that spatial variation in P‐IBI was closely associated with nutrient status and organic carbon availability. Lake management should integrate both P‐IBI and WQI‐based assessment approaches, providing a scientifically robust basis for the identification of environmental pressures and the diagnosis of ecological health.
SN - 2045-7758
SN - 2045-7758
ER -