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Article

A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos

1
State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2022, 19(15), 9678; https://doi.org/10.3390/ijerph19159678
Received: 21 June 2022 / Revised: 1 August 2022 / Accepted: 3 August 2022 / Published: 5 August 2022
(This article belongs to the Section Environmental Health)
An effective biological index should meet two criteria: (1) the selected parameters have clear relationships with ecosystem health and can be measured simply by standard methods and (2) reference conditions can be defined objectively and simply. Species richness is a widely used estimate of ecosystem condition, although it is increased by nutrient enrichment, a common disturbance. Based on macrobenthos data from 91 shallow Yangtze lakes disconnected from the mainstem, we constructed an observed species (SO)-area (A) model to predict expected species richness (SE), and then developed an observed to expected index (O/E-SA) by calculating the SO/SE ratio. We then compared O/E-SA with three other commonly used indices regarding their ability to discriminate cultivated and urban lakes: (1) River Invertebrate Prediction and Classification System (RIVPACS; O/E-RF), (2) Benthic Index of Biotic Integrity (B-IBI), and (3) Average Score Per Taxon (ASPT). O/E-SA showed significant positive linear relationships with O/E-RF, B-IBI and ASPT. Quantile regressions showed that O/E-SA and O/E-RF had hump-shape relationships with most eutrophication metrics, whereas B-IBI and ASPT had no obvious relationships. Only O/E-SA, O/E50 and B-IBI significantly discriminated cultivated from urban lakes. O/E-SA had comparable or higher performance with O/E-RF, B-IBI and ASPT, but was much simpler. Therefore, O/E-SA is a simple and reliable index for lake ecosystem health bioassessment. Finally, a framework was proposed for integrated biological assessment of Yangtze-disconnected lakes. View Full-Text
Keywords: ecosystem health assessment; biological index; quantile regression model; shallow lakes; Yangtze River basin ecosystem health assessment; biological index; quantile regression model; shallow lakes; Yangtze River basin
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MDPI and ACS Style

Wu, J.; He, Y.; Zhao, Y.; Chen, K.; Cui, Y.; Wang, H. A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos. Int. J. Environ. Res. Public Health 2022, 19, 9678. https://doi.org/10.3390/ijerph19159678

AMA Style

Wu J, He Y, Zhao Y, Chen K, Cui Y, Wang H. A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos. International Journal of Environmental Research and Public Health. 2022; 19(15):9678. https://doi.org/10.3390/ijerph19159678

Chicago/Turabian Style

Wu, Junyan, Yajing He, Yongjing Zhao, Kai Chen, Yongde Cui, and Hongzhu Wang. 2022. "A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos" International Journal of Environmental Research and Public Health 19, no. 15: 9678. https://doi.org/10.3390/ijerph19159678

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