Effective Management of Hilsa Shad (Tenualosa ilisha): Prevailing Research Trends in Bangladesh

Main Article Content

Md. Golam Mustafa

Abstract

Aim: The purpose of this review is to support widely accepted knowledge based effective management of Hilsa shad populations through smart decisions.

Study Design: Literature review of the population dynamics based studies along with the relevant papers of Hilsa shad fishery management in Bangladesh. Thus, accurate estimations of population size, growth parameters, mortalities and exploitation rates are critical for success.

Place and Duration of Study: The literature review and other relevant documents are based in the coastal and riverine areas of Bangladesh during last three decades.

Methodology: The review mainly included research findings on the catch and population dynamics of Hilsa shad in the riverine and coastal habitats of Bangladesh. This review comprised of published results on asymptotic length (Lµ), growth co-efficient (K), Growth performance index (ф’), mortality rates (natural-M, fishing-F and total-Z), exploitation rates (E), gear selectivity (Lc), maximum sustainable yield (MSY), standing stock or steady state biomass (SSB), average weight/length and length-weight relationship parameters.

Results: The asymptotic length, growth co-efficient and growth performance index were varied from 51.5 to 65.6cm, 0.51 to 0.99 and 3.14 to 3.55 respectively. The variation of growth range was appeared from 21.19 – 37.69, 33.66 – 51.69, 41.0 – 56.89, 45.32 – 59.09, 47.86 – 60.79 and 49.36 – 62.52 cm at the end of age 1, 2, 3, 4, 5 and 6 years respectively. Simultaneously, natural, fishing and total mortality were varied from 0.89 to 1.52, 0.45 to 3.45 and 1.68 to 4.9 respectively. The exploitation rates were varied between 0.27 and 0.70, and the length at first capture were differs to be 39.24 to 57.65% of the mean asymptotic length. The overall mean length and weight value equal to 34.0±2.67cm and 540±120gm respectively. While the majority of the research papers (90%) indicated, overfishing, the annual catch of the species shows an increasing trend of 10,038 tons per year (R2=0.81) between financial year 1989-90 and 2018-19. The estimated MSY varied from 162396 to 283597, 283597 to 404798 and 404798 to 526000 tons from 60%, 30% and 10% studies respectively. The mean MSY value equal to 282174 ±100530 tons. Besides, three case studies showed deviations, inclusion of hypothesis based results and analytical gap. Thus, through the continual publication process the absolute unclear results maybe adjust or accepts in the national policy, including SDG-14s.

Conclusions: The study indicated that the importance of science excellence, precise assessment and accurate estimation of the status of the fish stocks is vital for sustainable management of a fishery. Thus, the technical investigations need experience to analyze, predict results and produce fisheries management related suggestions, which is highly correlated to national or regional resource management decision. 

Keywords:
Research trends, fishery management, population dynamics, growth co-efficient, exploitation rate

Article Details

How to Cite
Golam Mustafa, M. (2020). Effective Management of Hilsa Shad (Tenualosa ilisha): Prevailing Research Trends in Bangladesh. Advances in Research, 21(9), 153-179. https://doi.org/10.9734/air/2020/v21i930243
Section
Review Article

References

DoF. National fish week 2019 compendium (In Bengali). Department of Fisheries. Ministry of Fisheries and livestock, Bangladesh. 2019;160.

DoF. National fish week 2016 compendium (In Bengali). Department of Fisheries, Ministry of Fisheries and Livestock, Bangladesh. 2016;148.

Mustafa MG. Sustainable Inland and Coastal Fisheries: Key Lessons Drawn from Community-based Fisheries Management in Bangladesh. Journal of Applied Life Sciences International. 2020;23(2):1-17.
Available:https://doi.org/10.9734/jalsi/2020/v23i230142

Berkes F. Alternative to conventional management lessons from small-scale fisheries. Environments. 2003;31:5-19.

DoF. Yearbook of Fisheries Statistics of Bangladesh, 2018-19. Fisheries Resources Survey System (FRSS). Department of Fisheries, Bangladesh: Ministry of Fisheries and livestock, Bangladesh; 2019.

Hossain SM, Sharifuzzaman SM, Rouf MA, Pomeroy RS, Hossain DM, Sayedur RC, Sheikh AU. Tropical Hilsa shad (Tenualosa ilisha): Biology, fishery and management. Fish and Fisheries; 2018.

Quinn TJ, Deriso RB. Quantitative fish dynamics (Biological Resource Management Series). New York: Oxford University Press; 1999.

Hilborn R, Walters C. Quantitative fisheries stock assessment: Choice, dynamics, and uncertainty. N.Y: Chapman and Hall; 1992.

Maunder MN, Punt AE. A Review of an Integrated Analysis in Fisheries Stock Assessment. Fisheries Research. 2013;142:61-74.
DOI:10.1016/j.fishres.2012.07.025

Cadrin SX, Secor DH. Accounting for spatial population structure in stock assessment: Past, present and future. In R. J. Beamish, & B. J. Rothschild (Eds.), The future of fishery science in North America (pp. 405e426). Dordrecht: Springer; 2009.

Von Bertalanffy L. A quantitative theory of organic growth (Inquiries on growth laws II) Human Biology. 1938;10:181-213.

Pauly D. The relationships between surface area and growth performance in fish: a generalization of von Bertalanffy's theory of growth. Meeresforsch. 1981;28(4):251-282.

Munro JL, Pauly D, Munro JL, Pauly D. A Simple Method for Comparing Growth of Fishes and Invertebrates. ICLARM Fishbyte. 1983;1:5-6.

Pauly D, Munro JL. Once more on growth comparisons in fish and invertebrates. Fishbyte. 1984;2(1):21.

Beverton RJH, Holt SJ. A review of methods for estimating mortality rates in exploited fish populations, with special reference to sources of bias in catch sampling. Rapp. P.-V. Renn.Cons. Inst. Explor. Mer. 1956;140:67-83[124].

Pauly D. On the interrelationships between natural mortality, growth parameters and mean environmental temperature in 175 fish stocks. J. Cons. CIEM, 1980;39(3):175-192.

Pauly D. Fish Population dynamics in tropical waters: A manual for use with programmable calculator. ICLARM Studies and Reviews.1984;8:325.

Moreau J, Abad N, Pauly D. Comparison of age catch curves and length converted catch curves for total mortality estimates in fish populations. Fisheries Research. 1994;12:14-18.

Taylor CC. Cod growth and temperature. J. Cons. CIEM. 1984;23:366-370

Powell DG. Estimation of mortality of the commercially important baitfish species Stolephorus heterolobus in Solomon Islands. Fishbyte. 1979;7(1):12-17.

Jones CM. Age and growth, In: Fishery Science. Ed. L.A. Fuiman and R.G. Warner, Oxford, Blackwell Science Ltd., Oxford, UK; 2002.

Rahman MJ, Wahab MA, Amin SMN, Nahiduzzaman M, Nicholas R. Catch Trend and Stock Assessment of Hilsa Tenualosa ilisha Usng Image Measured Length-Frequency Data. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science. 2018;10:386-401. Available:https://www.worldfishcenter.org/content/catch-trend-and-stock-assessment-hilsa-tenualosa-ilisha-using-digital-image-measured-length

Sarker MN, Naser MN, Sharif MU, Das NN, Humayun M. On the management of single fish species of Hilsa shad (Tenualosa ilisha) resources of Bangladesh. Bangladesh J. Zool. 2019;47(1):173-183.
Available:https://www.banglajol.info/index.php/BJZ/article/view/42055/31338

Amin SMN, Rahman MA, Haldar GC, Mazid MA, Milton DA. Catch Per Unit Effort, Exploitation Level and Production of Hilsa Shad in Bangladesh Waters. Asian Fisheries Science. 2008;21:175-187.

Mehedi MHP, Anisur MR, Md. Monjurul MH, Tayfa A, Flura Masud HK, Mahmud Y. Catch Length Variation of Tenualosa ilisha (Hamilton, 1822) in the River Meghna and Meghna Estuary of Bangladesh: An Overview of Catch Percentage in Three Important Hilsa Abundant Areas. Middle-East Journal of Scientific Research. 2018;26(2):211-216.

Gulland JA. Report of the FAO/IOP Workshop on the fishery resources of the Western Indian Ocean South of the Equator. Rome, FAO, IOFC/DEV/79/1979;45:1–37

(As per title. Other parts of this report (pp. 38–99) contain a wealth of data on the area in question and should be consulted for any assessment work in this region).

Cadima LE. (in Troadec, J.P. 1977). Methodes semi-quantitative devaluation. FAO Circ. peches, 1977;701:131-141.

Mome MA. The potential of the artisanal Hilsa fishery in Bangladesh: An economically efficient fisheries policy. Final Project, Fisheries Training Programme. Department of Fisheries, Bangladesh and Department of Economics, University of Iceland; 2007.

Hoq ME, Yousuf Haroon AK. Technical outcomes of the BOBLME project in Bangladesh. Support to Sustainable Management of the BOBLME Project, Bangladesh Fisheries Research Institute, Bangladesh. SBOBLME Pub./Rep. 09, 2013;36.

Karim E, Liu A, Sun M, Protim P, Shanur JH, Enamul HM. Assessing recent gradual upsurge of marine captured Hilsa stock (Tenualosa ilisha) in Bangladesh. Aquaculture and Fisheries 4. 2019;156-165.

Jones R, van Zalinge NP. Estimations of mortality rate and population size for shrimp in Kuwait waters. Kuwait Bull. Mar. Sci. 1981;2:273-288.

Blueweiss L, Fox H, Kudzma V, Nakashima D, Peters R, Sams S. Relationship between body size and some life history parameters. Oecologia, 1978;37(2):257-72.
DOI:10.1007/BF00344996.

Moreau J, Bambino C, Pauly D, Madean Jl, Dizon LB, Hosillo LV. A comparative of four indices of overall fish growth performance, based on 100 tilapia population (Fa. Cichlidae). The First Asian Fisheries Forum. Asian Fisheries Society, Manalia, Philippines. 1986;201-206.

Rahman MJ, Cowx IG. Lunar periodicity in growth increment formation in otoliths of Hilsa shad (Tenualosa ilisha, Clupeidae) in Bangladesh waters. Fisheries Research. 2006;81:342-344.

Hoggarth DD, Abeyasekera S, Arthur RI, Beddington JR, Burn RW, Halls AS, Kirkwood GP, McAllister M, Medley P, Mees CC, Parkes GB, Pilling GM, Wakeford RC, Welcomme RL. Stock assessment for fishery management – A framework guide to the stock assessment tools of the Fisheries Management Science Programme (FMSP). FAO Fisheries Technical Paper. Rome, FAO. 2006;487:261.

Hossain SM, Sharifuzzaman SM, Sayedur RC, Rouf MA, Hossain DM. Hilsa (Clupeidae: Tenualosa ilisha) predators in the marine and riverine ecosystem of Bangladesh. Science Asia. 2019;45:154-158.

IUCN Bangladesh. Red List of Bangladesh Volume 5: Freshwater Fishes. IUCN, International Union for Conservation of Nature, Bangladesh Country Office, Dhaka, Bangladesh, 2015;360

Barua S. Maximum Sustainable Yield (MSY) estimates for industrial finfish fishery in marine waters of Bangladesh using trawl catch log, Bangladesh J. Fish. 2019;31(2):313-324.

Polovina JJ, Ralson S. Assessment and management of deep-water bottom fishes in Hawaii and Marianas. Tropical snappers and groupers: Biology and fisheries management, p.. Westview Press, Boulder, Colorado. 1987:505-532

Pauly D. Length-converted catch curves. A powerful tool for fisheries research in the tropics. (Part II). ICLARM Fishbyte, 1984;2(1):17-19.

Gulland JA. The fish resources of the oceans. West Byfleet, Fishing News (Books), Ltd., for FAO. 1971:255.

Jacobsen, Nis S, Henrik Gislason, Ken H. Andersen, The consequence of balanced harvesting of fish communities. Proc Biol Sci. 2014:22;281(1775):20132701.
DOI:10.1098/rspb.2013.2701).

Garcia SM, Kolding J, Rice J, Rochet MJ, Zhou S, Arimoto T, Beyer JE, Borges A, Dunn D, Fulton EA, Hall M, Heino M, Law R, Makino M, Rijinsdorp AD, Simard F, Smith ADM. Reconsidering the consequences of selective fisheries. Science. 2012;335(6072):1045–1047. DOI:10.1126/SCIENCE.1214594) [PubMed] [Google Scholar]

Zhou S, Smith AD, Punt AE, Richardson AJ, Gibbs M, Fulton EA, Pascoe S, Bulman C, Bayliss P, Sainsbury K. Ecosystem-based fisheries management requires a change to the selective fishing philosophy. Proc. Nati Acad. Sci. USA. 2010;107(21):9485–9489.
DOI:10.1073/PNAS.0912771107) [PMC free article] [PubMed] [Google Scholar]). 2010.

Rahman MJ, Wahab MA, Nahiduzzaman M, Haque ABM, Cohen P. Hilsa fishery management in Bangladesh. IOP Conf. Series: Earth and Environment Science. 2020;414:012018. Available:https://iopscience.iop.org/article/10.1088/1755-1315/414/1/012018(doi:10.1088/1755 1315/414/1/012018)

Ebert TA. Estimating mortality from size from growth parameters and size distribution when recruitment is periodic. Limnol.Oceanogr. 1981;26(4):764-769.

Ebert TA, Pauly D, Morgan GR. Estimating growth and mortality parameters by nonlinear regression using average size in catches. Length-based methods in fisheries research. ICLARM Conf.Proc. 1987;13:35-44.

Amin SMN, Rahman MA, Haldar GC, Mazid MA, Milton DA. Population dynamics and stock assessment of Hilsa shad, Tenualosa ilisha in Bangladesh. Asian Fisheries Science. 2002;15:123–128.
Available:https://www.asianfisheriessociety.org/publication/downloadfile.php?id=647&file=Y0dSbUx6QTRNemc0T1RJd01ERXpOVFU1TVRBNU5UVXVjR1Jt

Halder GC, Amin SMN. Population Dynamics of Male and Female Hilsa, Tenualosa ilisha of Bangladesh. Pakistan Journal of Biological Sciences, 2005;8(2):307-313.

Rahman MJ, Cowx IG. Population dynamics of Hilsa Shad Tenualosa Ilisha, Clupeidae) in Bangladesh Waters. Asian Fisheries Science. 2008;21(2008):85-100.
Available:https://www.asianfisheriessociety.org/publication/abstract.php?id=251

Leitao F. Mean Size of the Landed Catch: A Fishery Community Index for Trend Assessment in Exploited Marine Ecosystems. Mar. Sci. 2019;6:302.
DOI:10.3389/FMARS.2019.00302

Conover SD, Munch SB, Arnott SA. Reversal of evolutionary downsizing caused by selective harvest of large fish. 2009;276.
DOI:10.1098/rspb.2009.0003.

Amin SMN, Rahman MA, Haldar GC, Mazid MA, Milton DA. Catch Per Unit Effort, Exploitation Level and Production of Hilsa Shad in Bangladesh Waters. Asian Fisheries Science. 2008;21:175-187.
Available:https://www.asianfisheriessociety.org/publication/abstract.php?id=262

Akhery N, Yeamin MH, Ashekur MR, Zannatul M, Rabiul MH, Akhtarul MI, Ataur MR, Sumaya T, Wasim S, Bashar MA, Mahmud Y. Temporal variation of length, weight and condition of Hilsa shad, Tenualosa ilisha (Hamilton, 1822) in the Meghna River, Southeastern Bangladesh. Egyptian Journal of Aquatic Biology & Fisheries, 2020;24(2):381-394.

Gulland JA, Rosenberg AA. A review of length-based approaches to assessing fish stocks. FAO Fisheries Technical Paper. 1992;323;100.

Cochrane KL. A fishery manager’s guidebook. Management measures and their application. FAO Fisheries Technical Paper. FAO. 2002;424;231.

Beverton RJH, Holt SJ. On the dynamics of exploited fish populations. Fisheries Investigations, Ministry of Agriculture, Fisheries and Food, United Kingdom. 1957;2:19.

Kelleher K, Willmann R, Arnason R. The sunken billions: the economic justification for fisheries reform. The World Bank; 2009.
Available:https://elibrary.worldbank.org/doi/abs/10.1596/978-0-8213-7790-1

Jones A, Seelig T. Enhancing research-policy linkages in Australian housing, final report 79. Australian Housing & Urban Research Institute; 2005.
Available:http://www.ahuri.edu.au/publications.

Nutley S, Walter I, Davies H, Past, present and possible futures for evidence-based policy. In G. Argyrous (Ed.), Evidence for policy and decision-making (pp.1–23). Sydney: UNSW Press; 2009.

Saunders P, Walter J. Ideas and influence: Social science and public policy in Australia. Sydney: UNSW Press; 2005.