Skip to main content

Advertisement

Log in

Mapping coastal lagoon characteristics for the aquaculture suitability using multi-criteria decision support (MCDS) spatial analysis: A case study from south-east coast of India

  • Published:
Journal of Earth System Science Aims and scope Submit manuscript

Abstract

A large extent of brackishwater resources is yet to be used for aquaculture as the present development stands at only 13% in India. But, growing environmental concerns and crop failures have made site selection a mandatory requirement for cage aquaculture. The case study carried out at Muttukadu Lagoon, India, has used 13 factors to assess cage site suitability, including physical characteristics and environmental conditions. Spatial analysis has integrated the most influencing variables such as depth, turbidity, salinity, temperature, dissolved oxygen, pH, and total ammonia nitrogen using suitability scores and its comparative rank. pH, salinity, temperature, and TAN were in the acceptable range throughout the year. Concerning depth, turbidity, and dissolved oxygen, 12–52%, 30–91%, and 84–91% of the lagoon were found to be suitable at different seasons. Overall, 11% of the lagoon region was found to be fit for cage aquaculture. Water depth was the major limiting factor in cage site selection. From the study, crucial management measures are outlined for successful fish culture and maintain the lagoon's health. This study will serve as a model to make use of the brackish-water regions to support the coastal population's livelihoods.

Research Highlights

  • Cage aquaculture can increase fish production and support the livelihoods of the coastal population

  • Zero-footprint brackishwater lagoons and estuaries can be used for cage aquaculture

  • Physical and environmental factors and their seasonal variations were incorporated in site selection using spatial analysis

  • Identified sites can provide conducive environment for an entire farm cycle.

  • Management measures are needed to preserve the conducive lagoon environment throughout the year.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11

Similar content being viewed by others

References

  • APHA 2005 Standard methods for the examination of water & wastewater; 21st edn (eds) Eaton A D, Clesceri L S, Franson M A H, Rice E W and Greenberg A E, American Public Health Association, Washington, DC.

  • Beveridge M 2004 Cage aquaculture; 3rd edn, Wiley-Blackwell Publishing, Oxford, UK.

  • Boyd C E and Tucker C S 1998 Pond Aquaculture Water Quality Management; Kluwer Academic Publishers, Boston, USA.

  • Boyd C E 2020 Typical chemical characteristics of full strength seawater; Glob. Aquac. Advocate, https://www.aquaculturealliance.org/advocate.

  • Cao L, Wang W, Yang Y, Yang C, Yuan Z, Xiang S and Diana J 2007 Environmental impact of aquaculture and countermeasures to aquaculture pollution in China; Envion. Sci. Pollut. Res. 14 452–462, https://doi.org/10.1065/espr2007.05.426.

    Article  Google Scholar 

  • Coastal Aquaculture Authority (CAA) 2014 Compendium of acts, rules, regulations and other notifications, 236p.

  • De-Roy R and Thadani R 1992 India's wetlands, mangroves and coral reefs; World Wild Fund (WWF), New Delhi, India, 6p.

  • Demir N, Kirgakac M, Pulatsu S and Bekcan S 2001 Influence of trout cage culture on the water quality, plankton and benthos in an Anatolian Reservoir; Isr. J. Aquac. 53 115–127.

    Google Scholar 

  • Dias J D, Takahashi E M, Santana N F and Bonecker C C 2011 Impact of fish cage-culture on the community structure of zooplankton in a tropical reservoir; Iheringia Ser. Zool. 101 75–84.

    Article  Google Scholar 

  • Dominguez M, Takemura A, Tsuchiya M and Nakamura S 2004 Impact of different environmental factors on the circulating immunoglobulin levels in the Nile tilapia, Oreochromis niloticus; Aquaculture 241 491–500, https://doi.org/10.1016/j.aquaculture.2004.06.027.

    Article  Google Scholar 

  • Eastman J R 1999 Multi-criteria evaluation and GIS; In: Geographical Information Systems (eds) Longley A P, Goodchild F M, Maguire J D and Rhind W D, Wiley, New York, USA, pp. 493–502.

    Google Scholar 

  • Esmaeilpour-Poodeh S, Ghorbani R, Hosseini S A, Salmanmahiny A, Rezaei H and Kamyab H 2019 A multi-criteria evaluation method for sturgeon farming site selection in the southern coast of Caspian Sea; Aquaculture 513 734416, https://doi.org/10.1016/j.aquaculture.2019.734416.

    Article  Google Scholar 

  • Grøttum J A and Beveridge M 2007 A review of cage aquaculture: northern Europe; In: Cage Aquaculture: Regional Reviews and Global Overview (eds) Halwart M, Soto D and Arthur J R, FAO: Rome, FAO Fisheries Technical Paper 498, pp. 126−154.

  • Jayanthi M, Thirumurthy S, Samynathan M, Manimaran K, Duraisamy M and Muralidhar M 2020 Assessment of land and water ecosystems capability to support aquaculture expansion in climate-vulnerable regions using analytical hierarchy process based geospatial analysis; J. Environ. Manag. 270 110952, https://doi.org/10.1016/j.jenvman.2020.110952.

    Article  Google Scholar 

  • Kjerfve B and Magill K E 1989 Geographic and hydrodynamic characteristics of shallow coastal lagoons; Mar. Geol. l88 187–199.

  • Lillesand T M and Kiefer R W 2000 Remote Sensing and Image Interpretation; 4th edn, John Wiley & Sons, New York, USA.

  • Mangaliso J S, Guilford S J and Hecky R E 2011 Physical-chemical measurements in the water column along a transect through a tilapia cage fish farm in Lake Malawi, Africa; J. Great Lakes Res. 37 102–113.

    Article  Google Scholar 

  • Matanza X M and Osorio C R 2018 Transcriptome changes in response to temperature in the fish pathogen Photobacterium damselae subsp. damselae: Clues to understand the emergence of disease outbreaks at increased seawater temperatures; PLoS One 13(12) e0210118, https://doi.org/10.1371/journal.pone.0210118.

  • Mendoza-Salgado R A, Lechuga-Devéze C H and Ortega-Rubio A 2005 Identifying rainfall effects in an arid Gulf of California coastal lagoon; J. Environ. Manag. 75 183–187, https://doi.org/10.1016/j.jenvman.2004.10.008.

  • Micael J, Costa A C, Aguiar P, Medeiros A and Calado H 2015 Geographic information system in a multi-criteria tool for mariculture site selection; Coast. Manag. 43(1) 52–66, https://doi.org/10.1080/08920753.2014.985178.

    Article  Google Scholar 

  • Marine Product Development Authority (MPEDA) 2020 State-wise details of shrimp and scampi production; http://mpeda.gov.in.

  • Nath S S, Bolte J P, Ross L G and Aguilar-Manjarrez J 2000 Applications of geographical information systems (GIS) for spatial decision support in aquaculture; Aquac. Eng. 23 233–278, https://doi.org/10.1016/S0144-8609(00)00051-0.

    Article  Google Scholar 

  • Pérez O M, Telfer T C and Ross L G 2003 Use of GIS-based models for integrating and developing marine fish cages within the tourism industry in Tenerife (Canary Islands); Coast. Manag. 31(4) 355–366, https://doi.org/10.1080/08920750390232992.

    Article  Google Scholar 

  • Pérez O M, Telfer T C and Ross L G 2005 Geographical information systems-based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands; Aquac. Res. 36 946–961, https://doi.org/10.1111/j.1365-2109.2005.01282.x.

    Article  Google Scholar 

  • Prasath B, Nandakumar R, Jayalakshmi T and Santhanam P 2014 First report on the intense cyanobacteria Microcystis aeruginosa Kützing, 1846 bloom at Muttukkadu backwater, southeast coast of India; Indian J. Mar. Sci. 43(2) 258–262.

    Google Scholar 

  • Price C, Black K D, Hargrave B T and Morris J A 2015 Marine cage culture and the environment: Effects on water quality and primary production; Aquac. Environ. Interact. 6 151–174, https://doi.org/10.3354/aei00122.

    Article  Google Scholar 

  • Portz D E, Woodley C M and Cech J J 2006 Stress-associated impacts of short-term holding on fishes; Rev. Fish Biol. Fish. 16 125–170, https://doi.org/10.1007/s11160-006-9012-z.

    Article  Google Scholar 

  • Powers S P, Peterson C H, Christian R R, Sullivan E, Powers M J, Bishop M J and Buzzelli C P 2005 Effects of eutrophication on bottom habitat and prey resources of demersal fishes; Mar. Ecol. Prog. Ser. 302 233–243, https://doi.org/10.3354/meps302233.

    Article  Google Scholar 

  • Rao G S, Imelda J, Philipose K K and Majjada S K 2013 Cage aquaculture in India; Central Marine Fisheries Research Institute (CMFRI), Cochin, India.

  • Ross L G, Mendoza E A and Beveridge M C M 1993 The application of geographical information systems to site selection for coastal aquaculture: An example based on salmonid cage culture; Aquaculture 112 165–178, https://doi.org/10.1016/0044-8486(93)90442-2.

    Article  Google Scholar 

  • Saaty T L 2008 Decision making with the analytic hierarchy process; Int. J. Serv. Sci. 1(1) 83–98, https://doi.org/10.1504/IJSSCI.2008.017590.

    Article  Google Scholar 

  • Saraswathy R, Muralidhar M, Sundaray J K, Lalitha N and Kumararaja P 2015 Water quality management in fish hatchery and grow-out systems; In: Advance in Marine and Brackishwater Aquaculture (eds) Perumal S, Thirunavukkarasu A R and Pachiappan P, Springer, New Delhi, India, pp. 217–225, https://doi.org/10.1007/978-81-322-2271-2_20.

  • Srinivasan K and Natesan U 2013 Spatio-temporal variations in water quality of Muttukadu backwaters, Tamilnadu, India; Water Environ. Res. 85(7) 587–595, https://doi.org/10.2175/106143012x13560205144812.

    Article  Google Scholar 

  • Tucker J W Jr, Russell D J and Rimmer M A 2002 Barramundi culture: A success story for aquaculture in Asia and Australia; World Aquac. Mag. 33 53–59.

  • Wurts W A and Durborow R M 1992 Interactions of pH, carbon dioxide, alkalinity and hardness in fish ponds; Southern Regional Aquaculture Center Publication, Stoneville, USA, pp.1–4.

Download references

Acknowledgements

We acknowledge the funding support from National Innovations in Climate Resilient Agriculture and also Extramural project funding support of the Indian Council of Agricultural Research to carry out this work.

Author information

Authors and Affiliations

Authors

Contributions

M Jayanthi: Conceptualized the research work, planned the experiments, carried out the data analysis, and prepared the manuscript. M Samynathan: Conducted the experiments and mapped the variables using GIS. S Thirumurthy: Conducted the experiments and GIS analysis. P Kumararaja: Conducted experiments and water analysis. M Muralidhar: Contributed to the fund acquisition and manuscript review and K K Vijayan: Supervised the project.

Corresponding author

Correspondence to M Jayanthi.

Additional information

Communicated by Maripi Dileep

This article is part of the topical collection: Advances in Coastal Research.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jayanthi, M., Samynathan, M., Thirumurthy, S. et al. Mapping coastal lagoon characteristics for the aquaculture suitability using multi-criteria decision support (MCDS) spatial analysis: A case study from south-east coast of India. J Earth Syst Sci 130, 56 (2021). https://doi.org/10.1007/s12040-021-01560-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12040-021-01560-y

Keywords

Navigation