Li Wang, Xianxiang Luo, Jianqiang Yang, Juan Zhang, Yuqing Fan, Jiayu Shen. Assessing benthic habitat quality using biotic indices in the Laizhou Bay, China[J]. Acta Oceanologica Sinica, 2020, 39(2): 49-58. doi: 10.1007/s13131-020-1552-x
Citation: Li Wang, Xianxiang Luo, Jianqiang Yang, Juan Zhang, Yuqing Fan, Jiayu Shen. Assessing benthic habitat quality using biotic indices in the Laizhou Bay, China[J]. Acta Oceanologica Sinica, 2020, 39(2): 49-58. doi: 10.1007/s13131-020-1552-x

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

doi: 10.1007/s13131-020-1552-x
Funds:  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.
More Information
  • Corresponding author: E-mail: lxx81875@ouc.edu.cn
  • Received Date: 2018-05-30
  • Accepted Date: 2019-05-06
  • Available Online: 2020-04-21
  • Publish Date: 2020-02-25
  • 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.
  • loading
  • [1]
    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
    [2]
    Berthelsen A, Atalah J, Clark D, et al. 2018. Relationships between biotic indices, multiple stressors and natural variability in New Zealand estuaries. Ecological Indicators, 85: 634–643. doi: 10.1016/j.ecolind.2017.10.060
    [3]
    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.ecolind.2007.05.003
    [4]
    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
    [5]
    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
    [6]
    Borja Á, Josefson A B, Miles A, et al. 2007. An approach to the intercalibration 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
    [7]
    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
    [8]
    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.ecolind.2010.05.007
    [9]
    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
    [10]
    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
    [11]
    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
    [12]
    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
    [13]
    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
    [14]
    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
    [15]
    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
    [16]
    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
    [17]
    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
    [18]
    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
    [19]
    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
    [20]
    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
    [21]
    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
    [22]
    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
    [23]
    Jiang Shenghui, Zhu Longhai, Hu Rijun, et al. 2015. The hydrodynamic response to reclamation in Laizhou Bay. Periodical of Ocean University of China (in Chinese), 45(10): 74–80
    [24]
    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
    [25]
    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
    [26]
    Li Baoquan, Li Xiaojing, Bouma T J, et al. 2017. Analysis of macrobenthic 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
    [27]
    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
    [28]
    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
    [29]
    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
    [30]
    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 Oceanologica Sinica, 33(9): 117–124. doi: 10.1007/s13131-014-0522-6
    [31]
    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
    [32]
    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
    [33]
    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
    [34]
    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
    [35]
    Pitacco V, Lipej L, Mavrič 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
    [36]
    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
    [37]
    Shannon C E, Weaver W W. 1963. The Mathematical Theory of Communication. Urbana: University of Illinois
    [38]
    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
    [39]
    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.ecolind.2006.05.003
    [40]
    Šmilauer P, Lepš J. 2014. Multivariate Analysis of Ecological Data Using CANOCO 5. 2nd ed. Cambridge: Cambridge University Press
    [41]
    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
    [42]
    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
    [43]
    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
    [44]
    Vačkář 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
    [45]
    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
    [46]
    Word J Q. 1978. The infaunal trophic index. In: Annual Report 1978. Los Angeles, California: Southern California Coastal Water Research Project, 19-41
    [47]
    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
    [48]
    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
    [49]
    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
    [50]
    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
    [51]
    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.marpolbul.2015.07.037
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(3)

    Article Metrics

    Article views (482) PDF downloads(117) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return