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Ecological quality status evaluation of a monsoonal tropical estuary using benthic indices: comparison via a seasonal approach

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Abstract

The use of biotic indices has garnered attention during the last decade due to its extensive application in evaluating ecological quality status (EcoQS) of marine waters and estuaries. Three seasonal surveys were conducted in the Kundalika estuary, India to evaluate the ecostatus using five benthic indices and comparing their effectiveness considering the estuarine salinity gradient and seasonality. All indices gave divergent results displaying a wide range of classes (good to bad) across salinity zones and seasons. Comparatively, M-AMBI discriminated the EcoQS suitably than other indices. Hence, a seasonally averaged approach for M-AMBI was proposed to obtain a final mean EcoQS which assigned moderate status to the euhaline and poly-mesohaline zones and poor status to the oligohaline zone. Considering the high degree of spatial heterogeneity and seasonality in the estuary, the monsoon data was found to lower the EcoQS due to natural stress in some cases; the exclusion of the monsoon season resulted in a more valid ecostatus. Therefore, this approach which combines information from the non-monsoon seasons stands out in providing a useful basis for ecological management by scrutinizing responses of macrobenthos. Also, we suggest salinity zone-wise evaluation for more effective classification chiefly in tropical monsoonal estuaries. An effort to establish a final EcoQS was performed; however, future in-depth studies are necessary to ascertain the reliability of the successful biotic index (M-AMBI) in estuaries with different stressors.

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References

  • Afli A, Ayari R, Zaabi S (2008) Ecological quality of some Tunisian coast and lagoon locations, by using benthic community parameters and biotic indices. Estuar Coast Shelf Sci 80:269–280. https://doi.org/10.1016/j.ecss.2008.08.010

    Article  Google Scholar 

  • Alongi DM (1990) The ecology of tropical soft-bottom benthic ecosystems. Oceanogr Mar Biol Annu Rev 28:381–496

    Google Scholar 

  • Bald J, Borja A, Muxika I, Franco J, Valencia V (2005) Assessing reference conditions and physico-chemical status according to the European Water Framework Directive: a case-study from the Basque Country (Northern Spain). Mar Pollut Bull 50:1508–1522. https://doi.org/10.1016/j.marpolbul.2005.06.019

    Article  CAS  Google Scholar 

  • Belal AAM, El-Sawy MA, Dar MA (2016) The effect of water quality on distribution of macrobenthic fauna in Western Lagoon and Timsah Lake, Egypt I. Egyptian J Aq Res 42:437–448

    Article  Google Scholar 

  • Bigot L, Grémare A, Amouroux JM, Frouin P, Maire O, Gaertner JC (2008) Assessment of the ecological quality status of soft-bottoms in Reunion Island (tropical Southwest Indian Ocean) using AZTI marine biotic indices. Mar Pollut Bull 56:704–722. https://doi.org/10.1016/j.marpolbul.2007.12.020

    Article  CAS  Google Scholar 

  • 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. Mar Pollut Bull 40:1100–1114. https://doi.org/10.1016/S0025-326X(00)00061-8

    Article  CAS  Google Scholar 

  • Borja A, Muxika I (2005) Guidelines for the use of AMBI (AZTI’s Marine Biotic Index) in the assessment of the benthic ecological quality. Mar Pollut Bull 50:787–789. https://doi.org/10.1016/j.marpolbul.2005.04.040

    Article  CAS  Google Scholar 

  • Borja A, Josefson AB, Miles A, Muxika I, Olsgard F, Phillips G, Rodríguez JG, Rygg B (2007) An approach to the intercalibration of benthic ecological status assessment in the North Atlantic ecoregion, according to the European Water Framework Directive. Mar Pollut Bull 55:42–52. https://doi.org/10.1016/j.marpolbul.2006.08.018

    Article  CAS  Google Scholar 

  • Borja A, Dauer DM, Díaz R, Llansó RJ, Muxika I, Rodríguez JG, Schaffner L (2008) Assessing estuarine benthic quality conditions in Chesapeake Bay: a comparison of three indices. Ecol Indic 8:395–403. https://doi.org/10.1016/j.ecolind.2007.05.003

    Article  Google Scholar 

  • Borja Á, Marín SL, Muxika I, Pino L, Rodríguez LG (2015) Is there a possibility of ranking benthic quality assessment indices to select the most responsive to different human pressures?. Mar Pollut Bull 97(1-2):85–94

  • Borja A, Muxika I, Rodriguez JG (2009) Paradigmatic responses of marine benthic communities to different anthropogenic pressures, using M-AMBI, within the European Water Framework Directive. Mar Ecol 30:214–227. https://doi.org/10.1111/j.1439-0485.2008.00272.x

    Article  Google Scholar 

  • Borja A, Tunberg BG (2011) Assessing benthic health in stressed subtropical estuaries, eastern Florida, USA using AMBI and M-AMBI. Ecol Indic 11:295–303. https://doi.org/10.1016/j.ecolind.2010.05.007

    Article  Google Scholar 

  • Borja A, Dauer DM, Grémare A (2012) The importance of setting targets and reference conditions in assessing marine ecosystem quality. Ecol Indic 12(1):1–7. https://doi.org/10.1016/j.ecolind.2011.06.018

    Article  Google Scholar 

  • Brauko KM, Souza FM, Muni P, Camargo MG, Lana PC (2015) Spatial variability of three benthic indices for marine quality assessment in a subtropical estuaryof Southern Brazil. Mar Pollut Bull 91:454–460. https://doi.org/10.1016/j.marpolbul.2014.10.025

    Article  CAS  Google Scholar 

  • Brinkhurst RO (1971) A guide for the identification of British aquatic Oligochaeta. Freshwater Biological Association, Scientific publication no. 22, second edition

  • Buchanan JB (1984) Sediment analysis. In: Holme NA, McIntyre AD (eds) Methods for the study of marine benthos. Blackwell, Oxford, pp 41–63

    Google Scholar 

  • Çaǧlar S, Albayrak S (2012) Assessment of ecological quality status of Küçükçekmece Bay (Marmara Sea) by applying BENTIX, AMBI, BOPA and BO2A biotic indexes. Mediterr Mar Sci 13:198–207. https://doi.org/10.12681/mms.299

    Article  Google Scholar 

  • Cai W, Borja Á, Liu L, Meng W, Muxika I, Rodríguez JG (2014) Assessing benthic health under multiple human pressures in Bohai Bay (China), using density and biomass in calculating AMBI and M-AMBI. Mar Ecol 35:180–192. https://doi.org/10.1111/maec.12067

    Article  Google Scholar 

  • Chainho P, Costa JL, Chaves ML, Lane MF, Dauer DM, Costa MJ (2006) Seasonal and spatial patterns of distribution of subtidal benthic invertebrate communities in the Mondego River, Portugal—a poikilohaline estuary. Hydrobiologia 555:59–74

    Article  Google Scholar 

  • Chainho P, Costa JL, Chaves ML, Dauer DM, Costa MJ (2007) Influence of seasonal variability in benthic invertebrate community structure on the use of biotic indices to assess the ecological status of a Portuguese estuary. Mar Pollut Bull 54:1586–1597. https://doi.org/10.1016/j.marpolbul.2007.06.009

    Article  CAS  Google Scholar 

  • Chainho P, Chaves ML, Costa JL, Costa MJ, Dauer DM (2008) Use of multimetric indices to classify estuaries with different hydromorphological characteristics and different levels of human pressure. Mar Pollut Bull 56:1128–1137. https://doi.org/10.1016/j.marpolbul.2008.03.018

    Article  CAS  Google Scholar 

  • Chambers PA, McGoldrick DJ, Brua RB, Vis C, Culp JM, Benoy GA (2012) Development of environmental thresholds for nitrogen and phosphorus in streams. J Environ Qual 41(1):7–20

    Article  CAS  Google Scholar 

  • Chapman J W (2007) Amphipoda: chapter 39 of the light and smith manual: intertidal invertebrates from Central California to Oregon. Completely revised and expanded

  • Chowdhury M, Hardikar R, Haridevi CK, Thomas J, Mitra A, Rokade MA, Naidu VS, Sukumaran S (2017) Nutrient stoichiometry and freshwater flow in shaping of phytoplankton population in a tropical monsoonal estuary (Kundalika estuary). Estuar Coast Shelf Sci 198:73–91. https://doi.org/10.1016/j.ecss.2017.08.019

    Article  CAS  Google Scholar 

  • Clarke KR, Warwick RM (2001) Change in Marine Communities: an Approach to Statistical Analysis and Interpretation, second ed. PRIMER-E: Plymouth

  • Dauvin JC, Ruellet T (2009) The estuarine quality paradox: is it possible to define an ecological quality status for specific modified and naturally stressed estuarine ecosystems? Mar Pollut Bull 59:38–47. https://doi.org/10.1016/j.marpolbul.2008.11.008

    Article  CAS  Google Scholar 

  • Day JH (1967) A monograph on the polychaete of southern Africa, part I (Errantia) & part II (Sedentaria). Trustees of the British museum, Natural History, London, p 678

    Google Scholar 

  • De-la-Ossa Carretero AJ, Dauvin JC (2010) A comparison of two biotic indices, AMBI and BOPA/BO2A, for assessing the ecological quality status (EcoQS) of benthic macroinvertebrates. Transit Waters Bull 4(1):12–24. https://doi.org/10.1285/i1825229Xv4n1p12

    Article  Google Scholar 

  • de Paz L, Patrício J, Marques JC, Borja A, Laborda AJ (2008) Ecological status assessment in the lower Eo estuary (Spain). The challenge of habitat heterogeneity integration: a benthic perspective. Mar Pollut Bull 56:1275–1283. https://doi.org/10.1016/j.marpolbul.2008.04.027

    Article  CAS  Google Scholar 

  • Elliott M, O’Reilly MG (1991) The variability and prediction of marine benthic community parameters. In: Elliott M, Ducrotoy J-P (eds) Estuaries and coasts: spatial and temporal Intercomparisons. Olsen and Olsen, Fredensborg, pp 231–238

    Google Scholar 

  • Elliott M, Quintino V (2007) The estuarine quality paradox, environmental homeostasis and the difficulty of detecting anthropogenic stress in naturally stressed areas. Mar Pollut Bull 54:640–645. https://doi.org/10.1016/j.marpolbul.2007.02.003

    Article  CAS  Google Scholar 

  • Fauchald K (1977) The polychaetes worms, definitions and keys to the orders, families and genera. Natural History Museum of Los Angeles County. Sci Ser 28:188

    Google Scholar 

  • Feebarani J, Joydas TV, Damodaran R, Borja A (2016) Benthic quality assessment in a naturally- and human-stressed tropical estuary. Ecol Indic 67:380–390. https://doi.org/10.1016/j.ecolind.2016.03.005

    Article  Google Scholar 

  • Fitch JE, Crowe TP (2010) Effective methods for assessing ecological quality in intertidal soft-sediment habitats. Mar Pollut Bull 60:1726–1733. https://doi.org/10.1016/j.marpolbul.2010.06.027

    Article  CAS  Google Scholar 

  • Forchino A, Borja A, Brambilla F, Rodríguez JG, Muxika I, Terova G, Saroglia M (2011) Evaluating the influence of off-shore cage aquaculture on the benthic ecosystem in Alghero Bay (Sardinia, Italy) using AMBI and M-AMBI. Ecol Indic 11(5):1112–1122

    Article  CAS  Google Scholar 

  • Gaonkar UV, Sivadas SK, Ingole BS (2013) Effect of tropical rainfall in structuring the macrobenthic community of Mandovi estuary, West coast of India. J Mar Biol Assoc UK 93:1727–1738. https://doi.org/10.1017/S002531541300026X

    Article  Google Scholar 

  • Grasshoff K, Ehrhardt M, Kremling K (1999) Methods of seawater analysis (Verlag Chemie). In: 1–419

    Google Scholar 

  • Harkantra SN, Rodrigues NR (2003) Pattern of species succession of soft-bottom macrofauna in the estuaries of Goa, west coast of India. Curr Sci 85(10):1458–1474

    Google Scholar 

  • Hutton M, Venturini N, García-Rodríguez F, Brugnoli E, Muniz P (2015) Assessing the ecological quality status of a temperate urban estuary by means of benthic biotic indices. Mar Pollut Bull 91:441–453. https://doi.org/10.1016/j.marpolbul.2014.10.042

    Article  CAS  Google Scholar 

  • Khan SA, Manokaran S, Lyla PS (2014) Assessment of ecological quality of Vellar and Uppanar estuaries, southeast coast of India, using benthos. Indian J Geo-Mar Sci 43:1–7

    Google Scholar 

  • Kröncke I, Reiss H (2010) Influence of macrofauna long-term natural variability on benthic indices used in ecological quality assessment. Mar Pollut Bull 60:58–68. https://doi.org/10.1016/j.marpolbul.2009.09.001

    Article  CAS  Google Scholar 

  • Labrune C, Amouroux JM, Sardá R, Dutrieux E, Thorin S, Rosenberg R, Grémare A (2006) Characterization of the ecological quality of the coastal gulf of lions (NW Mediterranean). A comparative approach based on three biotic indices. Mar Pollut Bull 52:34–47. https://doi.org/10.1016/j.marpolbul.2005.08.005

    Article  CAS  Google Scholar 

  • Lincoln RJ (1979) British marine amphipoda: Gammaridea (No. 818). British Museum (Natural History)

  • Lyla PS, Velvizhi S, Khan SA (1998) Brackishwater amphipods of Parangipettai coast. Centre of Advanced Study in Marine Biology, Annamalai University, 1–80

  • Medeiros JP, Chaves ML, Silva G, Azeda C, Costa JL, Marques JC, Costa MJ, Chainho P (2012) Benthic condition in low salinity areas of the Mira estuary (Portugal): lessons learnt from freshwater and marine assessment tools. Ecol Indic 19:79–88. https://doi.org/10.1016/j.ecolind.2011.09.008

    Article  CAS  Google Scholar 

  • McLusky DS, Elliot M (2004) The estuarine ecosystem—ecology, threats and management. Oxford University Press, p 214

  • Munari C, Mistri M (2010) Towards the application of the Water Framework Directive in Italy: assessing the potential of benthic tools in Adriatic coastal transitional ecosystems. Mar Pollut Bull 60:1040–1050. https://doi.org/10.1016/j.marpolbul.2010.01.022

    Article  CAS  Google Scholar 

  • Muniz P, Venturini N, Pires-Vanin AMS, Tommasi LR, Borja Á (2005) Testing the applicability of a Marine Biotic Index (AMBI) to assessing the ecological quality of soft-bottom benthic communities, in the South America Atlantic region. Mar Pollut Bull 50:624–637. https://doi.org/10.1016/j.marpolbul.2005.01.006

    Article  CAS  Google Scholar 

  • Muniz P, Hutton M, Kandratavicius N, Lanfranconi A, Brugnoli E, Venturini N, Giménez L (2012) Performance of biotic indices in naturally stressed estuarine environments on the South western Atlantic coast (Uruguay): a multiple scale approach. Ecol Indic 19:89–97. https://doi.org/10.1016/j.ecolind.2011.07.022

    Article  Google Scholar 

  • Mulik J, Sukumaran S, Srinivas T, Vijapure T (2017) Comparative efficacy of benthic biotic indices in assessing the Ecological Quality Status ( EcoQS ) of the stressed Ulhas estuary India. Mar Pollut Bull 120:192–202. https://doi.org/10.1016/j.marpolbul.2017.05.014

    Article  CAS  Google Scholar 

  • Muxika I, Borja Á, Bonne W (2005) The suitability of the marine biotic index (AMBI) to new impact sources along European coasts. Ecol Indic 5:19–31. https://doi.org/10.1016/j.ecolind.2004.08.004

    Article  Google Scholar 

  • Muxika I, Borja A´, 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. Mar Pollut Bull 55: 16–29. doi:https://doi.org/10.1016/j.marpolbul.2006.05.025

    Article  CAS  Google Scholar 

  • National Institute of Oceaonography (NIO) (2009) Monitoring of Coastal Marine and Estuarine Ecology of Maharashtra - Phase I. Part A: (Main Report)

  • Pande A, Nayak GN (2013) Understanding distribution and abundance of metals with space and time in estuarine mudflat sedimentary environment. Environ Earth Sci 70:2561–2575. https://doi.org/10.1007/s12665-013-2298-y

    Article  CAS  Google Scholar 

  • Patrício J, Adão H, Neto JM, Alves AS, Traunspurger W, Marques JC (2012) Do nematode and macrofauna assemblages provide similar ecological assessment information? Ecol Indic 14:124–137. https://doi.org/10.1016/j.ecolind.2011.06.027

    Article  Google Scholar 

  • Puente A, Diaz RJ (2008) Is it possible to assess the ecological status of highly stressed natural estuarine environments using macroinvertebrates indices? Mar Pollut Bull 56:1881–1889. https://doi.org/10.1016/j.marpolbul.2008.07.016

    Article  CAS  Google Scholar 

  • Puente A, Juanes JA, García A, Álvarez C, Revilla JA, Carranza I (2008) Ecological assessment of soft bottom benthic communities in northern Spanish estuaries. Ecol Indic 8(4):373–388. https://doi.org/10.1016/j.ecolind.2007.04.002

    Article  Google Scholar 

  • Reiss H, Kröncke I (2005a) Seasonal variability of infaunal community structures in three areas of the North Sea under different environmental conditions. Estuar Coast Shelf Sci 65(1–2):253–274. https://doi.org/10.1016/j.ecss.2005.06.008

    Article  Google Scholar 

  • Reiss H, Kröncke I (2005b) Seasonal variability of benthic indices: an approach to test the applicability of different indices for ecosystem quality assessment. Mar Pollut Bull 50:1490–1499. https://doi.org/10.1016/j.marpolbul.2005.06.017

    Article  CAS  Google Scholar 

  • Ruellet T, Dauvin J-C (2007) Benthic indicators: Analysis of the threshold values of ecological quality classifications for transitional waters. Mar Pollut Bull 54(11):1707–1714

  • Sánchez-Moyano JE, García-Asencio I, Donázar-Aramendía I, Miró JM, Megina C, García-Gómez JC (2017) BENFES, a new biotic index for assessing ecological status of soft-bottomcommunities. Towards a lower taxonomic complexity, greater reliability and less effort. Mar Envtal Res 132:41–50. https://doi.org/10.1016/j.marenvres.2017.10.014

    Article  CAS  Google Scholar 

  • Shannon CE, Weaver W (1963) In: The mathematical theory of Communication. University of Illinois Press, Urbana, p 117

    Google Scholar 

  • Sivaraj S, Murugesan P, Muthuvelu S, Vivekanandan KE, Vijayalakshmi S (2014) AMBI and M-AMBI indices as a robust tool for assessing the effluent stressed ecosystem in Nandgaon coastal waters, Maharashtra, India. Estuar Coast Shelf Sci 146:60–67

    Article  CAS  Google Scholar 

  • Sigamani S, Perumal M, Arumugam S, Jose HMPM, Veeraiyan B (2015) AMBI indices and multivariate approach to assess the ecological health of Vellar–Coleroon estuarine system undergoing various human activities. Mar Pollut Bull 100:334–343. https://doi.org/10.1016/j.marpolbul.2015.08.028

    Article  CAS  Google Scholar 

  • Simboura N, Argyrou M (2010) An insight into the function of benthic classification indices tested in Eastern Mediterranean coastal waters. Mar Pollut Bull 60(5):701–709. https://doi.org/10.1016/j.marpolbul.2009.12.005

    Article  CAS  Google Scholar 

  • Simboura N, Reizopoulou S (2008) An intercalibration of classification metrics of benthic macroinvertebrates in coastal and transitional ecosystems of the Eastern Mediterranean ecoregion (Greece). Mar Pollut Bull 56:116–126. https://doi.org/10.1016/j.marpolbul.2007.09.042

    Article  CAS  Google Scholar 

  • Simboura N, Zenetos A (2002) Benthic indicators to use in ecological quality classification of Mediterranean soft bottom marine ecosystems, including a new biotic index. Mediterr Mar Sci 3:77–111. https://doi.org/10.12681/mms.249

    Article  Google Scholar 

  • Sivadas S, Ingole B, Nanajkar M (2011) Temporal variability of macrofauna from a disturbed habitat in Zuari estuary, west coast of India. Environ Monit Assess 173:65–78. https://doi.org/10.1007/s10661-010-1371-1

    Article  Google Scholar 

  • Sivadas SK, Nagesh R, Gupta GVM, Gaonkar U, Mukherjee I, Ramteke D, Ingole BS (2016) Testing the efficiency of temperate benthic biotic indices in assessing the ecological status of a tropical ecosystem. Mar Pollut Bull 106:62–76. https://doi.org/10.1016/j.marpolbul.2016.03.026

    Article  CAS  Google Scholar 

  • Spagnolo A, Punzo E, Santelli A, Scarcella G, Strafella P, Grati F, Fabi G (2014) Offshore platforms: comparison of five benthic indicators for assessing the macrozoobenthic stress levels. Mar Pollut Bull 82:55–65. https://doi.org/10.1016/j.marpolbul.2014.03.023

    Article  CAS  Google Scholar 

  • Tataranni M, Lardicci C (2010) Performance of some biotic indices in the real variable world: a case study at different spatial scales in North-Western Mediterranean Sea. Environ Pollut 158:26–34. https://doi.org/10.1016/j.envpol.2009.08.020

    Article  CAS  Google Scholar 

  • Teixeira H, Salas F, Borja Á, Neto JM, Marques JC (2008) A benthic perspective in assessing the ecological status of estuaries: the case of the Mondego estuary (Portugal). Ecol Indic 8(4):404–416. https://doi.org/10.1016/j.ecolind.2007.02.008

    Article  Google Scholar 

  • Tweedley JR, Warwick RM, Potter IC (2015) Can biotic indicators distinguish between natural and anthropogenic environmental stress in estuaries? J Sea Res 102:10–21. https://doi.org/10.1016/j.seares.2015.04.001

    Article  Google Scholar 

  • Weisberg SB, Thompson B, Ranasinghe JA, Montagne DE, Cadien DB, Dauer DM, Diener D, Oliver J, Reish DJ, Velarde RG, Word JQ (2008) The level of agreement among experts applying best professional judgment to assess the condition of benthic infaunal communities. Ecol Indic 8:389–394. https://doi.org/10.1016/j.ecolind.2007.04.001

    Article  Google Scholar 

  • Zettler ML, Schiedek D, Bobertz B (2007) Benthic biodiversity indices versus salinity gradient in the southern Baltic Sea. Mar Pollut Bull 55:258–270. https://doi.org/10.1016/j.marpolbul.2006.08.024

    Article  CAS  Google Scholar 

  • Zingde MD (2002) Degradation of marine habitats and coastal management framework. Proc. the National Seminar on creeks, estuaries and mangroves—pollution and conservation, Nov 2002, 3–7

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Acknowledgements

We are grateful to the Director CSIR-National Institute of Oceanography (CSIR-NIO), India for providing the facilities to carry out this work. We also would like to thank Dr. V. S. Naidu for his guidance and encouragement. This is CSIR-NIO contribution No. 6231.

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Dias, H.Q., Sukumaran, S., Srinivas, T. et al. Ecological quality status evaluation of a monsoonal tropical estuary using benthic indices: comparison via a seasonal approach. Environ Sci Pollut Res 25, 22672–22688 (2018). https://doi.org/10.1007/s11356-018-2344-0

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