Abstract
This investigation characterized the relationship between percentage occurrences of three size classes of Hilsa juveniles (3–5, 5.1–10, and 10.1–15 cm) and six biogeochemical parameters (water temperature, chlorophyll-a, turbidity, salinity, dissolved oxygen, and pH) in the lower part of the tidal riverine to the entire estuarine stretch of Hooghly. These relationships helped us determine the ranges of each biogeochemical parameter for different suitability criteria in three seasons, pre-monsoon (February–May), monsoon (June–September), and post-monsoon (October–January). Salinity had the highest weight (0.37–0.39) followed by chlorophyll-a (0.26–0.30) and turbidity (0.12–0.20). The geospatial data of the biogeochemical parameters were interpolated followed by reclassification with the suitability ranges, separately for each season. These reclassified data were integrated into GIS-based modeling by a multi-criteria decision-making technique (analytical hierarchy process) to generate the habitat suitability maps of juvenile Hilsa. The model-derived information was verified with the indigenous knowledge of the fishers regarding the suitable habitat of juvenile Hilsa by conducting group discussions at 13 locations along the entire study area. The degree of agreement/disagreement between the model and the field information was determined by measuring Kendall’s tau (0.81–0.96) and Kappa coefficients (0.77–0.86), which indicated a strong agreement. In total, 3.80%, 10.12%, and 31.08% of the total river-estuarine area considered for the present study were identified as highly suitable for juvenile Hilsa during pre-monsoon, monsoon, and post-monsoon seasons, respectively. This mapping can act as baseline information for the policymakers for sustainable Hilsa fishing keeping in view the livelihood of fishers.
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References
Ahsan D, Naser N, Bhoumik, U, Hazra S, Bhattacharya SB (2014) Migration, spawning patterns and conservation of Hilsa shad (Tenualosa ilisha) in Bangladesh and India. New Delhi: IUCN, Academic Foundation
APHA (2005) Standard methods for the examination of water and wastewater, 21st edn. Washington, DC: American Public Health Association
Bhaumik U (2015) Migration of Hilsa shad in the Indo-Pacific region–a review. Int J Curr Res Acad Rev 3(11):139–155. ISSN: 2347–3215
Bhaumik U (2017) Fisheries of Indian Shad (Tenualosa ilisha) in the Hooghly-Bhagirathi stretch of the Ganga River system. Aquat Ecosyst Health Manage 20:130–139. https://doi.org/10.1080/14634988.2017.1283894
Bhaumik U, Sharma AP (2011) The fishery of Indian Shad (Tenualosa ilisha) in the Bhagirathi-Hooghly river system. Fish Chimes 31:21–27
Bhaumik U, Sharma AP (2012) Present status of Hilsa in Hooghly-Bhagirathi River. Central Inland Fisheries Research Institute, Bulletin no. 179
Bradley BA, Olsson AD, Wang O, Dickson BG, Pelech L, Sesnie SE, Zachmann LJ (2012) Species detection vs. habitat suitability: are we biasing habitat suitability models with remotely sensed data? Ecol Modell 244:57–64. https://doi.org/10.1016/j.ecolmodel.2012.06.019
Brandt F, Conitzer V, Endriss U (2012) Computational social choice. In: Weiss G (ed) Multiagent Systems, 2nd edn. Cambridge: MIT Press, p 84
Brown SK, Buja KR, Jury SH, Monaco ME, Banner A (2000) Habitat suitability index models for eight fish and invertebrate species in Casco and Sheepscot Bays. Maine North Am J Fish Manage 20(2):408–435. https://doi.org/10.1577/1548-8675(2000)020%3c0408:HSIMFE%3e2.3.CO;2
Chang YJ, Sun CL, Chen Y, Yeh SZ, DiNardo G, Su NJ (2013) Modelling the impacts of environmental variation on the habitat suitability of swordfish, Xiphias gladius, in the equatorial Atlantic Ocean. ICES J Mar Sci 70(5):1000–1012. https://doi.org/10.1093/icesjms/fss190
Das I, Hazra S, Das S, Giri S, Maity S, Ghosh S (2018) Present status of the sustainable fishing limits for Hilsa Shad in the northern Bay of Bengal, India. Proc Natl Acad Sci India, B 89:525–532. https://doi.org/10.1007/s40011-018-0963-3
De DK, Sinha M (1997) Studies on the migration of Hilsa, Tenualosa ilisha by tagging experiments. National Seminar on Changing Perspective on Inland Fisheries. Inland Fisheries Society of India and Central Inland Capture Fisheries Research Institute, Barrackpore, March 16–17
De TK, De M, Das S, Chowdhury C, Ray R, Jana TK (2011) Phytoplankton abundance in relation to cultural eutrophication at the land-ocean boundary of Sunderbans, NE Coast of Bay of Bengal, India. J Environ Stud Sci 1:169–180. https://doi.org/10.1007/s13412-011-0022-3
Dwivedi SN (1993) Long-term variability in the food chains, biomass yield, and oceanography of the Bay of Bengal ecosystem. Large marine ecosystems: stress, mitigation and sustainability. Washington DC: AAS Press, 43–52
Franklin J (1995) Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog Phys Geogr 19:474–499. https://doi.org/10.1177/030913339501900403
Fraser TH (1997) Abundance, seasonality, community indices, trends and relationships with physicochemical factors of trawled fish in upper Charlotte Harbor, Florida. Bull Mar Sci 60(3):739–763
Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Modell 135:147–186. https://doi.org/10.1016/S0304-3800(00)00354-9
Hossain MS, Sarker S, Chowdhury SR, Sharifuzzaman SM (2014a) Discovering spawning ground of Hilsa shad (Tenualosa ilisha) in the coastal waters of Bangladesh. Ecol Modell 282:59–68. https://doi.org/10.1016/j.ecolmodel.2014.03.001
Hossain MS, Sarker S, Sharifuzzaman SM, Chowdhury SR (2014b) Habitat modelling of juvenile Hilsa Tenualosa ilisha (Clupeiformes) in the coastal ecosystem of the northern Bay of Bengal, Bangladesh. J Ichthyol 54:203–213. https://doi.org/10.1134/S0032945214020040
Hossain MS, Sharifuzzaman SM, Chowdhury SR, Sarker S (2016) Habitats across the life cycle of Hilsa shad (Tenualosa ilisha) in aquatic ecosystem of Bangladesh. Fish Manage Ecol 23:450–462. https://doi.org/10.1111/fme.12185
Johnston K, Ver Hoef JM, Krivoruchko K, Lucas N (2001) Using ArcGIS geostatistical analyst (Vol. 380). Redlands: Esri
Martino EJ, Able KW (2003) Fish assemblages across the marine to low salinity transition zone of a temperate estuary. Est Coast Shelf Sci 56(5–6):969–987
Meador MR, Kelso WE (1990a) Physiological responses of largemouth bass, Micropterus salmoides, exposed to salinity. Can J Fish Aquat Sci 47(12):2358–2363
Meador MR, Kelso WE (1990b) Growth of largemouth bass in low-salinity environments. Trans Am Fish Soc 119(3):545–552
Mukhopadhyay SK (2007) The Hooghly estuarine system, NE coast of Bay of Bengal, India. In Workshop on Indian Estuaries, NIO, Goa, India
Mukhopadhyay SK, Biswas H, De TK, Jana TK (2006) Fluxes of nutrients from the tropical River Hooghly at the land–ocean boundary of Sundarbans, NE Coast of Bay of Bengal, India. J Mar Syst 62:9–21. https://doi.org/10.1016/j.jmarsys.2006.03.004
Nobriga ML, Sommer TR, Feyrer F, Fleming K (2008) Long-term trends in summertime habitat suitability for delta smelt, Hypomesus transpacificus. S Francisco Est Watershed Sci 6(1). https://doi.org/10.15447/sfews.2008v6iss1art1
Peterson MS, Ross ST (1991) Dynamics of littoral fishes and decapods along a coastal river-estuarine gradient. Est Coast Shelf Sci 33(5):467–483. https://doi.org/10.1016/0272-7714(91)90085-P
Rakocinski C, Baltz DM, Fleeger JW (1992) Correspondence between environmental gradients and the community structure of marsh-edge fishes in a Louisiana estuary. Mar Ecol Prog Ser 80:135–148
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281
Saaty TL (1980) The Analytic Hierarchy Process. New York: McGraw-Hill
Saaty TL (1990) Multicriteria decision making: the analytic hierarchy process: planning, priority setting resource allocation. Pittsburgh: RWS Publications, p 287
Saha P, Saha B, Hazra S, Sinha Roy S (2011) Geomorphology and sediment character of Bakkhali-Frasergunj coastal belt and adjoining inner-continental shelf, Bay of Bengal. Indian J Geosci 65:195–210
Sajina AM, Suresh VR, Sandhya KM, Mukherjee J, Manna RK, Behera BK, Samanta R, Maity T, Banik SK (2020) Status of Hilsa fishery in Hooghly-Bhagirathi River system and associated coastal waters of northern bay of Bengal. Proc Natl Acad Sci India B 90(3):647–656. https://doi.org/10.1007/s40011-019-01140-7
Szedlmayer ST, Able KW (1996) Patterns of seasonal availability and habitat use by fishes and decapod crustaceans in a southern New Jersey estuary. Estuaries 19(3):697–709
The Kolkata Gazette, Fisheries Department, Govt. of West Bengal, Notification No. WB(Part-I)/2013/SAR-137, dated 9th April, 2013
Wagner CM, Austin HM (1999) Correspondence between environmental gradients and summer littoral fish assemblages in low salinity reaches of the Chesapeake Bay, USA. Mar Ecol Prog Ser 177:197–212
Funding
The authors received funding from The Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, Ministry of Earth Sciences, Govt. of India for the project (Sanction Order No. INCOIS:F&A:XII:A1:031, Dt.10.04.2013) entitled “Bio-optical studies and ecological modeling in case-II water of West Bengal coast towards Hilsa fishery forecast”. This is INCOIS contribution number 430.
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All the authors contributed significantly during the present work. Material preparation, data collection, and analysis were performed by Sandip Giri, Abhra Chanda, Partho Protim Mondal, Sourav Samanta, Kunal Chakraborty, and Sourav Maity. The first draft was written by Sandip Giri and Abhra Chanda. Sugata Hazra critically reviewed the results and discussion before the finalization of the manuscript. All the authors read and approved the final manuscript.
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The juvenile fish samples used in this study were not intentionally collected for experimental purposes. When fishermen operate the net targeting some other fishes, Hilsa juveniles become part of their catch as the bycatch. Those samples were used for the present study. There was no involvement of human beings as the subject of this research and hence there is no question of sharing any private or personal information without informing the persons concerned. We also declare that all the authors have strictly complied with the authorship principles furnished by the journal.
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Giri, S., Chanda, A., Mondal, P.P. et al. Role of biogeochemical parameters in delineating suitable habitats of juvenile Hilsa (Tenualosa ilisha) within an estuary. Environ Biol Fish 104, 1057–1072 (2021). https://doi.org/10.1007/s10641-021-01134-3
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DOI: https://doi.org/10.1007/s10641-021-01134-3