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

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  • Junyan Wu

    (State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yajing He

    (State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

  • Yongjing Zhao

    (State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

  • Kai Chen

    (State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China)

  • Yongde Cui

    (State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

  • Hongzhu Wang

    (State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

Abstract

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 ( S O )-area ( A ) model to predict expected species richness ( S E ), and then developed an observed to expected index (O/E- SA ) by calculating the S O / S E 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/E 50 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.

Suggested Citation

  • Junyan Wu & Yajing He & Yongjing Zhao & Kai Chen & Yongde Cui & Hongzhu Wang, 2022. "A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos," IJERPH, MDPI, vol. 19(15), pages 1-13, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9678-:d:881530
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    References listed on IDEAS

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    1. Kevin J. Gaston, 2000. "Global patterns in biodiversity," Nature, Nature, vol. 405(6783), pages 220-227, May.
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    1. Wenhua Shao & Zhongli Chen & Ying Shao, 2023. "Intergrading Water Quality Parameters, Benthic Fauna and Acute Toxicity Test for Risk Assessment on an Urban-Rural River," Sustainability, MDPI, vol. 15(8), pages 1-15, April.

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