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Assessing benthic habitat quality using biotic indices in the Laizhou Bay, China

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Abstract

As an important part of the Bohai economic rim, the Laizhou Bay has been stressed by serious eco-environmental problems in recent years. In this study, the Shannon-Wiener index (H'), AZTI’s marine biotic index (AMBI) and the multivariate AMBI (M-AMBI) were used to assess the ecological quality status (EQS) of the Laizhou Bay according to macrobenthos data collected annually in August 2011-2014. The results showed that the overall benthic habitat quality in the Laizhou Bay was assessed as “Good”. However, 25% of the samples were classified as “Moderate”, “Bad” or “Poor” status under degraded conditions. Ecological group III (EGIII) species which had a certain tolerance to environmental disturbances had a higher proportion in each station, and most of them had appeared the pollution indicator species Capitella capitata. This indicated that the benthic habitat in the Laizhou Bay had been disturbed and polluted to some extent. The comparison of the three indices evaluation result and the RDA analysis showed that the H' and M-AMBI were more suitable when the relative abundance of the single species was high and the macrobenthic community was significantly imbalanced; when the relative abundance of opportunistic species (EGIV and EGV) was high, the AMBI and M-AMBI could reflected the EQS objectively; in an undisturbed and polluted environment, all the three indices could indicate the benthic habitats quality. In summary, the better correlation between the three indices and environmental factors showed that they were well responsive to the tendency of the benthic habitats quality in the Laizhou Bay.

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References

  • Bakalem A, Ruellet T, Dauvin J C. (2009. Benthic indices and ecological quality of shallow Algeria fine sand community. Ecological Indicators, 9(3): 395–408, doi: 10.1016/j.ecolind.2008.05.008

    Article  Google Scholar 

  • Berthelsen A, Atalah J, Clark D, et al. (2018. Relationships between bi-otic indices, multiple stressors and natural variability in New Zealand estuaries. Ecological Indicators, 85: 634–643, doi: 10.1016/j.ecolind.2017.10.060

    Article  Google Scholar 

  • Borja Á, Dauer D M, Díaz R, et al. (2008. Assessing estuarine benthic quality conditions in Chesapeake Bay: a comparison of three indices. Ecological Indicators, 8 (4): 395–403, doi: 10.1016/j.eco-lind.2007.05.003

    Article  Google Scholar 

  • Borja Á, Franco J, Muxika I. (2003. Classification tools for marine ecological quality assessment: the usefulness of macrobenthic communities in an area affected by a submarine outfall. In: ICES CM 2003/Session J-02. Vol 2. Copenhagen: ICES, 1–10

    Google Scholar 

  • Borja Á, Franco J, Pérez V. (2000. A marine biotic index to establish the ecological quality of soft-bottom benthos within European estuarine and coastal environments. Marine Pollution Bulletin, 40(12): 1100–1114, doi: 10.1016/S0025-326X(00)00061-8

    Article  Google Scholar 

  • Borja Á, Josefson A B, Miles A, et al. (2007. An approach to the inter-calibration of benthic ecological status assessment in the North Atlantic ecoregion, according to the European Water Framework Directive. Marine Pollution Bulletin, 55(1-6): 42–52, doi: 10.1016/j.marpolbul.2006.08.018

    Article  Google Scholar 

  • Borja Á, Muxika I. (2005. Guidelines for the use of AMBI (AZTI’s Marine Biotic Index) in the assessment of the benthic ecological quality. Marine Pollution Bulletin, 50(7): 787–789, doi: 10.1016/j.marpolbul.2005.04.040

    Article  Google Scholar 

  • Borja Á, Tunberg B G. (2011. Assessing benthic health in stressed subtropical estuaries, eastern Florida, USA using AMBI and M-AMBI. Ecological Indicators, 11(2): 295–303, doi: 10.1016/j.eco-lind.2010.05.007

    Article  Google Scholar 

  • Brauko K M, Muniz P, de Castro Martins C, et al. (2016. Assessing the suitability of five benthic indices for environmental health assessment in a large subtropical South American estuary. Ecological Indicators, 64: 258–265, doi: 10.1016/j.ecolind.2016.01.008

    Article  Google Scholar 

  • Cai Lizhe, Ma Li, Gao Yang, et al. (2002. Analysis on assessing criterion for polluted situation using species diversity index of marine macrofauna. Journal of Xiamen University (Natural Science) (in Chinese), 41(5): 641–646

    Google Scholar 

  • Cai Wenqian, Borja Á, Liu Lusan, et al. (2014. Assessing benthic health under multiple human pressures in Bohai Bay (China), using density and biomass in calculating AMBI and M-AMBI. Marine Ecology, 35(2): 180–192, doi: 10.1111/maec.12067

    Article  Google Scholar 

  • Cai Wenqian, Meng Wei, Liu Lusan, et al. (2013a. Assessing the benthic ecological status in Yangtze River Estuary using AMBI and M-AMBI. Environment Science (in Chinese), 34(5): 1725–1734

    Google Scholar 

  • Cai Wenqian, Meng Wei, Zhuo Yanzhong, et al. (2013b. Assessing benthic ecological status in stressed Liaodong Bay (China) with AMBI and M-AMBI. Chinese Journal of Oceanology and Limnology, 31(3): 482–492, doi: 10.1007/s00343-013-2177-0

    Article  Google Scholar 

  • Checon H H, Corte G N, Muniz P, et al. (2018. Unraveling the performance of the benthic index AMBI in a subtropical bay: The effects of data transformations and exclusion of low-reliability sites. Marine Pollution Bulletin, 126: 438–448, doi: 10.1016/j. marpolbul.2017.11.059

    Article  Google Scholar 

  • Chen Yaqu, Xu Zhaoli, Wang Yunlong, et al. (1995. An ecological study on zooplankton in plume front zone of Changjiang (Yangtze) river estuarine area I biomass distribution of dominant species. Journal of Fishery Sciences of China (in Chinese), 2(1): 49–58

    Google Scholar 

  • Dauvin J C, Ruellet T. (2009. The estuarine quality paradox: is it possible to define an ecological quality status for specific modified and naturally stressed estuarine ecosystems?. Marine Pollution Bulletin, 59(1-3): 38–47, doi: 10.1016/j.marpolbul.2008.11.008

    Article  Google Scholar 

  • Forchino A, Borja Á, Brambilla F, et al. (2011. Evaluating the influence of off-shore cage aquaculture on the benthic ecosystem in Alghero Bay (Sardinia, Italy) using AMBI and M-AMBI. Ecological Indicators, 11(5): 1112–1122, doi: 10.1016/j.ecolind. 2010.12.011

    Article  Google Scholar 

  • Gao Xuelu, Zhuang Wen, Chen C T A, et al. (2015. Sediment quality of the SW coastal Laizhou Bay, Bohai Sea, China: a comprehensive assessment based on the analysis of heavy metals. PLoS One, 10(3): e0122190, doi: 10.1371/journal.pone.0122190

    Article  Google Scholar 

  • Garaffo G V, Jaubet M L, Becherucci M E, et al. (2017. Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic. Marine Pollution Bulletin, 115(1-2): 233–239, doi: 10.1016/j.marpolbul.2016.12.017

    Article  Google Scholar 

  • General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China. (2004. GB 18668-2002 Marine sediment quality (in Chinese). Beijing: Standards Press of China, 1–2

    Google Scholar 

  • Gillett D J, Weisberg S B, Grayson T, et al. (2015. Effect of ecological group classification schemes on performance of the AMBI benthic index in US coastal waters. Ecological Indicators, 50: 99–107, doi: 10.1016/j.ecolind.2014.11.005

    Article  Google Scholar 

  • Halpern B S, Longo C, Hardy D, et al. (2012. An index to assess the health and benefits of the global ocean. Nature, 488(7413): 615–620, doi: 10.1038/nature11397

    Article  Google Scholar 

  • Jiang Shenghui, Zhu Longhai, Hu Rijun, et al. (2015. The hydro-dynamic response to reclamation in Laizhou Bay. Periodical of Ocean University of China (in Chinese), 45(10): 74–80

    Google Scholar 

  • Keeley N B, Forrest B M, Crawford C, et al. (2012. Exploiting salmon farm benthic enrichment gradients to evaluate the regional performance of biotic indices and environmental indicators. Ecological Indicators, 23: 453–466, doi: 10.1016/j.ecolind.2012. 04.028

    Article  Google Scholar 

  • Labrune C, Amouroux J M, Sarda R, et al. (2006. Characterization of the ecological quality of the coastal Gulf of Lions (NW Mediterranean). A comparative approach based on three biotic indices. Marine Pollution Bulletin, 52(1): 34–47

    Article  Google Scholar 

  • Li Baoquan, Li Xiaojing, Bouma T J, et al. (2017. Analysis of mac-robenthic assemblages and ecological health of Yellow River Delta, China, using AMBI & M-AMBI assessment method. Marine Pollution Bulletin, 119(2): 23–32, doi: 10.1016/j.marpolbul. 2017.03.044

    Article  Google Scholar 

  • Liu Xiaoshou, Zhao Rui, Hua Er, et al. (2014. Macrofaunal community structure in the Laizhou Bay in summer and the comparison with historical data. Marine Science Bulletin (in Chinese), 33(3): 283–292

    Google Scholar 

  • Luo Xianxiang, Lin Song, Yang Jianqiang, et al. (2017. Benthic habitat quality assessment based on biological indices in Xiaoqing River estuary and its adjacent sea of Laizhou Bay, China. Journal of Ocean University of China, 16(3): 537–546, doi: 10.1007/ s11802-017-3038-9

    Article  Google Scholar 

  • Luo Xianxiang, Sun Kaijing, Yang Jianqiang, et al. (2016. A comparison of the applicability of the Shannon-Wiener index, AMBI and M-AMBI indices for assessing benthic habitat health in the Huanghe (Yellow River) Estuary and adjacent areas. Acta Oceanologica Sinica, 35(6): 50–58, doi: 10.1007/s13131-016-0842-9

    Article  Google Scholar 

  • Luo Xianxiang, Zhang Juan, Yang Jianqiang, et al. (2014. Assessing the benthic habitat quality in the Huanghe (Yellow River) Estuary and its adjacent areas using AMBI and M-AMBI. Acta Oceano-logica Sinica, 33(9): 117–124, doi: 10.1007/s13131-014-0522-6

    Article  Google Scholar 

  • Mulik J, Sukumaran S, Srinivas T, et al. (2017. Comparative efficacy of benthic biotic indices in assessing the Ecological Quality Status (EcoQS) of the stressed Ulhas estuary, India. Marine Pollution Bulletin, 120(1-2): 192–202, doi: 10.1016/j.marpolbul.2017. 05.014

    Article  Google Scholar 

  • Muxika I, Borja Á, Bald J. (2007. Using historical data, expert judgement and multivariate analysis in assessing reference conditions and benthic ecological status, according to the European Water Framework Directive. Marine Pollution Bulletin, 55(1-6): 16–29, doi: 10.1016/j.marpolbul.2006.05.025

    Article  Google Scholar 

  • Pearson T H, Rosenberg R. (1978. Macrobenthic succession in relation to organic enrichment and pollution of the marine environment. Oceanography and Marine Biology Annual Review, 16: 229–311

    Google Scholar 

  • Peng Shitao, Qin Xuebo, Shi Honghua, et al. (2012. Distribution and controlling factors of phytoplankton assemblages in a semi-enclosed bay during spring and summer. Marine Pollution Bulletin, 64(5): 941–948, doi: 10.1016/j.marpolbul.2012.03.004

    Article  Google Scholar 

  • Pitacco V, Lipej L, Mavric B, et al. (2018. Comparison of benthic indices for the evaluation of ecological status of three Slovenian transitional water bodies (northern Adriatic). Marine Pollution Bulletin, 129(2): 813–821, doi: 10.1016/j.marpolbul.2017.10.085

    Article  Google Scholar 

  • Qiu Baochao, Zhong Xin, Liu Xiaoshou. (2018. Assessment of the benthic ecological status in the adjacent waters of Yangtze River Estuary using marine biotic indices. Marine Pollution Bulletin, 137: 104–112, doi: 10.1016/j.marpolbul.2018.10.006

    Article  Google Scholar 

  • Shannon C E, Weaver W W. (1963. The Mathematical Theory of Communication. Urbana: University of Illinois

    Google Scholar 

  • Sigamani S, Perumal M, Arumugam S, et al. (2015. AMBI indices and multivariate approach to assess the ecological health of Vellar-Coleroon estuarine system undergoing various human activities. Marine Pollution Bulletin, 100(1): 334–343, doi: 10.1016/j. marpolbul.2015.08.028

    Article  Google Scholar 

  • Simboura N, Reizopoulou S. (2007. A comparative approach of assessing ecological status in two coastal areas of Eastern Mediterranean. Ecological Indicators, 7(2): 455–468, doi: 10.1016/j.eco-lind.2006.05.003

    Article  Google Scholar 

  • Šmilauer P, Lepš J. (2014. Multivariate Analysis of Ecological Data Using CANOCO 5. 2nd ed. Cambridge: Cambridge University Press

    Book  Google Scholar 

  • Song Debin, Gao Zhiqiang, Zhang Hua, et al. (2017a. GIS-based health assessment of the marine ecosystem in Laizhou Bay, China. Marine Pollution Bulletin, 125(1-2): 242–249, doi: 10.1016/ j.marpolbul.2017.08.027

    Article  Google Scholar 

  • Song Qiaochu, Zou Xinqing, Zhang Hu, et al. (2017b. An approach based on M-AMBI for assessing benthic ecological status of a broad intertidal zone: A case study in the Jiangsu intertidal zone, China. Marine Pollution Bulletin, 116(1-2): 87–94, doi: 10.1016/j.marpolbul.2016.12.066

    Article  Google Scholar 

  • Sun Yuanmin, Chen Bin, Wu Haiyan, et al. (2018. Assessing benthic ecological status in subtropical islands, China using AMBI and Bentix indices. Estuarine, Coastal and Shelf Science, 207: 345–350, doi: 10.1016/j.ecss.2017.11.033

    Article  Google Scholar 

  • Vackár D, ten Brink B, Loh J, et al. (2012. Review of multispecies indices for monitoring human impacts on biodiversity. Ecological Indicators, 17: 58–67, doi: 10.1016/j.ecolind.2011.04.024

    Article  Google Scholar 

  • Weisberg S B, Ranasinghe J A, Dauer D M, et al. (1997. An Estuarine Benthic Index of Biotic Integrity (B-IBI) for Chesapeake Bay. Estuaries, 20(1): 149–158, doi: 10.2307/1352728

    Article  Google Scholar 

  • Word J Q. (1978. The infaunal trophic index. In: Annual Report 1978. Los Angeles, California: Southern California Coastal Water Research Project, 19–41

    Google Scholar 

  • Xu Li, Wang Tieyu, Wang Jihua, et al. (2017. Occurrence, speciation and transportation of heavy metals in 9 coastal rivers from watershed of Laizhou Bay, China. Chemosphere, 173: 61–68, doi: 10.1016/j.chemosphere.2017.01.046

    Article  Google Scholar 

  • Yang Jianqiang, Zhu Yonggui, Song Wenpeng, et al. (2014. The eco-environmental evaluation based on habitat quality and ecological response of Laizhou Bay. Acta Ecologica Sinica (in Chinese), 34(1): 105–114

    Google Scholar 

  • Zhang Ying, Liu Yuanjin, Zhang Ying, et al. (2012. Ecological characteristics of benthic polychaete community and its responses to environmental change in Laizhou Bay, Shandong Province of East China. Chinese Journal of Ecology (in Chinese), 31(4): 888–895

    Google Scholar 

  • Zhang Anguo, Wang Lili, Zhao Shilan, et al. (2017. Heavy metals in seawater and sediments from the northern Liaodong Bay of China: Levels, distribution and potential risks. Regional Studies in Marine Science, 11: 32–42, doi: 10.1016/j.rsma.2017. 02.002

    Article  Google Scholar 

  • Zhuang Wen, Gao Xuelu. (2015. Distributions, sources and ecological risk assessment of arsenic and mercury in the surface sediments of the southwestern coastal Laizhou Bay, Bohai Sea. Marine Pollution Bulletin, 99(1-2): 320–327, doi: 10.1016/j.mar-polbul.2015.07.037

    Article  Google Scholar 

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Acknowledgments

We are grateful to the staff of the North China Sea Branch of Ministry of Natural Resources and the Shandong Marine Resources and Environment Research Institute for assistance with sampling and the analysis of the macrobenthos and environmental parameters in the Laizhou Bay. We especially thank Angél Borja from the Spanish AZTI-Tecnalia Center I for identifying the EGs of the macrobenthic organisms.

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Authors and Affiliations

  1. Key Laboratory of Marine Environment and Ecology, Ocean University of China, Qingdao, 266100, China

    Li Wang, Xianxiang Luo, Yuqing Fan & Jiayu Shen

  2. North China Sea Branch of Ministry of Natural Resources, Qingdao, 266061, China

    Jianqiang Yang

  3. Shandong Marine Resources and Environment Research Institute, Yantai, 264006, China

    Juan Zhang

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  1. Li Wang
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  2. Xianxiang Luo
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Correspondence to Xianxiang Luo.

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Foundation item: The National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers under contract No. U1606404; the National Basic Research Program (973 Program) of China under contract No. 2015CB453301; the National Marine Public Welfare Research Project of China under contract No. (201405007).

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Wang, L., Luo, X., Yang, J. et al. Assessing benthic habitat quality using biotic indices in the Laizhou Bay, China. Acta Oceanol. Sin. 39, 49–58 (2020). https://doi.org/10.1007/s13131-020-1552-x

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