Volume 42 Issue 10
Oct.  2023
Turn off MathJax
Article Contents
Chenman Yang, Hongjun Song, Yi Sun, Pengfei Xie, Yuan Liu, Hongjun Li. Seasonal implications for taxonomic sufficiency to simplify M-AMBI methodology in the coastal area adjacent to a eutrophic estuary[J]. Acta Oceanologica Sinica, 2023, 42(10): 108-116. doi: 10.1007/s13131-022-2094-1
Citation: Chenman Yang, Hongjun Song, Yi Sun, Pengfei Xie, Yuan Liu, Hongjun Li. Seasonal implications for taxonomic sufficiency to simplify M-AMBI methodology in the coastal area adjacent to a eutrophic estuary[J]. Acta Oceanologica Sinica, 2023, 42(10): 108-116. doi: 10.1007/s13131-022-2094-1

Seasonal implications for taxonomic sufficiency to simplify M-AMBI methodology in the coastal area adjacent to a eutrophic estuary

doi: 10.1007/s13131-022-2094-1
Funds:  The National Marine Public Welfare Research Project of China under contract No. 201305030; the Open Fund from Observation and Research Station of Bohai Strait Eco-Corridor under contract No. BH202201.
More Information
  • Corresponding author: hjli@nmemc.org.cn
  • Received Date: 2022-05-24
  • Accepted Date: 2022-08-12
  • Available Online: 2023-12-12
  • Publish Date: 2023-10-01
  • Taxonomic sufficiency (TS) refers to identifying taxa to a taxonomic level sufficient to detect community changes in stressed environments and may provide a cost-effective approach in routine monitoring programs. However, there is still limited information regarding the seasonal impact of applying TS and its implications for the ecological quality evaluation in the estuarine ecosystem. This study investigated the relationship between the multivariate-AZTI’s Marine Biotic Index (M-AMBI) and environmental variables in three seasons (i.e., spring, summer, and autumn) in the Liaohe River Estuary. We tested the reliability of TS for simplifying the M-AMBI methodology. The results showed that family and genus level data could reproduce the spatial-temporal patterns of community structure at the species level. The M-AMBI values showed a consistent spatial distribution pattern in all sampling seasons, with a decreasing trend with the increasing distance from the estuary mouth. Both genus and family level data performed nearly as well as species level in detecting the seasonal variations of pollutants (i.e., nutrients and total organic content). The family level M-AMBI was feasible to discern stress in the Liaohe River Estuary because of the high aggregation ratios at different taxonomic levels in all sampling seasons. These findings suggest that applying taxonomic sufficiency based on the M-AMBI provides an efficient approach for evaluating ecological quality in the Liaohe River Estuary.
  • loading
  • Bertasi F, Colangelo M A, Colosio F, et al. 2009. Comparing efficacy of different taxonomic resolutions and surrogates in detecting changes in soft bottom assemblages due to coastal defence structures. Marine Pollution Bulletin, 58(5): 686–694. doi: 10.1016/j.marpolbul.2009.01.003
    Bevilacqua S, Mistri M, Terlizzi A, et al. 2018. Assessing the effectiveness of surrogates for species over time: Evidence from decadal monitoring of a Mediterranean transitional water ecosystem. Marine Pollution Bulletin, 131: 507–514. doi: 10.1016/j.marpolbul.2018.04.047
    Bevilacqua S, Terlizzi A, Claudet J, et al. 2012. Taxonomic relatedness does not matter for species surrogacy in the assessment of community responses to environmental drivers. Journal of Applied Ecology, 49(2): 357–366. doi: 10.1111/j.1365-2664.2011.02096.x
    Borja A, Bricker S B, Dauer D M, et al. 2008. Overview of integrative tools and methods in assessing ecological integrity in estuarine and coastal systems worldwide. Marine Pollution Bulletin, 56(9): 1519–1537. doi: 10.1016/j.marpolbul.2008.07.005
    Borja Á, Elliott M. 2013. Marine monitoring during an economic crisis: the cure is worse than the disease. Marine Pollution Bulletin, 68(1–2): 1–3. doi: 10.1016/j.marpolbul.2013.01.041
    Borja A, Elliott M, Andersen J H, et al. 2016. Overview of integrative assessment of marine systems: the ecosystem approach in practice. Frontiers in Marine Science, 3: 20. doi: 10.3389/fmars.2016.00020
    Borja A, 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
    Borja A, 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
    Borja A, Miles A, Occhipinti-Ambrogi A, et al. 2009. Current status of macroinvertebrate methods used for assessing the quality of European marine waters: implementing the Water Framework Directive. Hydrobiologia, 633(1): 181–196. doi: 10.1007/s10750-009-9881-y
    Chainho P, Lane M F, Chaves M L, et al. 2007b. Taxonomic sufficiency as a useful tool for typology in a poikilohaline estuary. Hydrobiologia, 587(1): 63–78. doi: 10.1007/s10750-007-0694-6
    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
    Cohen J. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1): 37–46. doi: 10.1177/001316446002000104
    Costanza R, d’Arge R, De Groot R, et al. 1997. The value of the world’s ecosystem services and natural capital. Nature, 387(6630): 253–260. doi: 10.1038/387253a0
    De-La-Ossa-Carretero J A, Simboura N, Del-Pilar-Ruso Y, et al. 2012. A methodology for applying taxonomic sufficiency and benthic biotic indices in two Mediterranean areas. Ecological Indicators, 23: 232–241. doi: 10.1016/j.ecolind.2012.03.029
    Dias H Q, Sukumaran S, Srinivas T, et al. 2018. Ecological quality status evaluation of a monsoonal tropical estuary using benthic indices: comparison via a seasonal approach. Environmental Science and Pollution Research, 25(23): 22672–22688. doi: 10.1007/s11356-018-2344-0
    Elliott M, Whitfield A K. 2011. Challenging paradigms in estuarine ecology and management. Estuarine, Coastal and Shelf Science, 94(4): 306–314.
    Ellis D. 1985. Taxonomic sufficiency in pollution assessment. Marine Pollution Bulletin, 16(12): 459. doi: 10.1016/0025-326X(85)90362-5
    Feebarani J, Joydas T V, Damodaran R, et al. 2016. Benthic quality assessment in a naturally- and human-stressed tropical estuary. Ecological Indicators, 67: 380–390. doi: 10.1016/j.ecolind.2016.03.005
    Ferraro S P, Cole F A. 1995. Taxonomic level sufficient for assessing pollution impacts on the Southern California Bight macrobenthos—revisited. Environmental Toxicology and Chemistry, 14(6): 1031–1040. doi: 10.1002/etc.5620140614
    Forde J, Shin P K, Somerfield P J, et al. 2013. M-AMBI derived from taxonomic levels higher than species allows Ecological Status assessments of benthic habitats in new geographical areas. Ecological Indicators, 34: 411–419. doi: 10.1016/j.ecolind.2013.05.014
    Gesteira J L G, Dauvin J C, Fraga M S. 2003. Taxonomic level for assessing oil spill effects on soft-bottom sublittoral benthic communities. Marine Pollution Bulletin, 46(5): 562–572. doi: 10.1016/S0025-326X(03)00034-1
    Grasshoff K, Ehrhardt M, Kremling K. 1983. Methods of Seawater Analysis. 2nd Revised and Extended edition. Weiheim: Verlag Chemie
    Heino J, Soininen J. 2007. Are higher taxa adequate surrogates for species-level assemblage patterns and species richness in stream organisms?. Biological Conservation, 137(1): 78–89. doi: 10.1016/j.biocon.2007.01.017
    Korpinen S, Andersen J H. 2016. A global review of cumulative pressure and impact assessments in marine environments. Frontiers in Marine Science, 3: 153. doi: 10.3389/fmars.2016.00153
    Lampadariou N, Karakassis I, Pearson T H. 2005. Cost/benefit analysis of a benthic monitoring programme of organic benthic enrichment using different sampling and analysis methods. Marine Pollution Bulletin, 50(12): 1606–1618. doi: 10.1016/j.marpolbul.2005.06.030
    Landis J R, Koch G G. 1977. The measurement of observer agreement for categorical data. Biometrics, 33(1): 159–174. doi: 10.2307/2529310
    Liu Lusan, Li Baoquan, Lin Kuixuan, et al. 2014. Assessing benthic ecological status in coastal area near Changjiang River Estuary using AMBI and M-AMBI. Chinese Journal of Oceanology and Limnology, 32(2): 290–305. doi: 10.1007/s00343-014-3125-3
    Lotze H K. 2010. Historical reconstruction of human-induced changes in U. S. estuaries. In: Gibson R N, Atkinson R J A, Gordon J D M, eds. Oceanography and Marine Biology: An Annual Review. New York: Chapman and Hall/CRC, 48: 267–338
    Maurer D. 2000. The dark side of taxonomic sufficiency (TS). Marine Pollution Bulletin, 40(2): 98–101. doi: 10.1016/S0025-326X(99)00235-0
    Mulik J, Sukumaran S, Dias H Q. 2020. Is the benthic index AMBI impervious to seasonality and data transformations while evaluating the ecological status of an anthropized monsoonal estuary?. Ocean & Coastal Management, 186: 105080. doi: 10.1016/j.ocecoaman.2019.105080
    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
    Pelletier M C, Gillett D J, Hamilton A, et al. 2018. Adaptation and application of multivariate AMBI (M-AMBI) in US coastal waters. Ecological Indicators, 89: 818–827. doi: 10.1016/j.ecolind.2017.08.067
    Peperzak L. 2010. An objective procedure to remove observer-bias from phytoplankton time-series. Journal of Sea Research, 63(2): 152–156. doi: 10.1016/j.seares.2009.11.004
    Reiss H, Kröncke I. 2005. Seasonal variability of benthic indices: an approach to test the applicability of different indices for ecosystem quality assessment. Marine Pollution Bulletin, 50(12): 1490–1499. doi: 10.1016/j.marpolbul.2005.06.017
    Salas F, Neto J M, Borja A, et al. 2004. Evaluation of the applicability of a marine biotic index to characterize the status of estuarine ecosystems: the case of Mondego Estuary (Portugal). Ecological Indicators, 4(3): 215–225. doi: 10.1016/j.ecolind.2004.04.003
    Soares-Gomes A, Mendes C L T, Tavares M, et al. 2012. Taxonomic sufficiency of polychaete taxocenes for estuary monitoring. Ecological Indicators, 15(1): 149–156. doi: 10.1016/j.ecolind.2011.09.030
    State Oceanic Administration of China. 2012. Bulletin of Marine Environmental Status of China. Beijing: State Oceanic Administration of China
    Sun Yi, Li Hongjun, Gu Yanwu, et al. 2021. Optimization of Macrobenthos monitoring strategy using taxonomic sufficiency in the Liaohe Estuary. Acta Ecologica Sinica (in Chinese), 41(4): 1645–1655. doi: 10.5846/stxb202001230169
    Thompson B W, Riddle M J, Stark J S. 2003. Cost-efficient methods for marine pollution monitoring at Casey Station, East Antarctica: the choice of sieve mesh-size and taxonomic resolution. Marine Pollution Bulletin, 46(2): 232–243. doi: 10.1016/S0025-326X(02)00366-1
    Tweedley J R, Warwick R M, Clarke K R, et al. 2014. Family-level AMBI is valid for use in the north-eastern Atlantic but not for assessing the health of microtidal Australian estuaries. Estuarine, Coastal and Shelf Science, 141: 85–96.
    Wiltshire K H, Dürselen C D. 2004. Revision and quality analyses of the Helgoland Reede long-term phytoplankton data archive. Helgoland Marine Research, 58(4): 252–268. doi: 10.1007/s10152-004-0192-4
    Wlodarska-Kowalczuk M, Kedra M. 2007. Surrogacy in natural patterns of benthic distribution and diversity: selected taxa versus lower taxonomic resolution. Marine Ecology Progress Series, 351: 53–63. doi: 10.3354/meps07127
    Wu Haiyan, Fu Shifeng, Cai Xiaoqiong, et al. 2018. Suitability of various benthic biotic indices in assessing the coastal ecological quality in Fujian Province, China. Chinese Journal of Applied Ecology (in Chinese), 29(6): 2051–2058. doi: 10.13287/j.1001-9332.201806.032
    Yan Jia, Sui Jixing, Xu Yong, et al. 2020. Assessment of the benthic ecological status in adjacent areas of the Yangtze River Estuary, China, using AMBI, M-AMBI and BOPA biotic indices. Marine Pollution Bulletin, 153: 111020. doi: 10.1016/j.marpolbul.2020.111020
  • 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(6)  / Tables(2)

    Article Metrics

    Article views (240) PDF downloads(7) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return