Unexplored Social–Ecological Trap Lens of Hilsa Fishery in Bangladesh
Abstract
1. Introduction
- What social–ecological traps exist in hilsa fisheries?
- How do socio-ecological traps relate to the livelihood outcomes of hilsa fishermen?
- What elements affected livelihood adaptation strategies during the ban?
Theoretical Framework
2. Materials and Methods
2.1. Study Areas
2.2. Methods
3. Results
3.1. Livelihood Capitals
3.1.1. Human Capital
3.1.2. Physical Capital
3.1.3. Natural Capital
3.1.4. Social Capital
3.1.5. Financial Capital
3.2. Vulnerability Context
3.3. Transforming Structures and Processes
3.4. Livelihood Strategies
Factors Affecting Livelihood Adaptation in Ban Period
3.5. Livelihood Outcomes
3.6. Falling into the Traps
3.6.1. Poverty
3.6.2. Single Income Source
3.6.3. Dadon System
3.6.4. Inter-Generational Traps
3.6.5. Increased Fishers
3.6.6. Frequent Ban Period
3.6.7. Reduced Hilsa Catch
4. Discussion
4.1. Livelihood Capitals
4.2. Vulnerability Context
4.3. Livelihood Strategies
4.4. Transforming Structures and Processes
4.5. Livelihood Outcomes
4.6. Social–Ecological Traps
4.6.1. Falling into the Traps
4.6.2. Negative Feedback
4.6.3. Escaping the Traps
4.6.4. Positive Feedback
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| SI No. | Study Sites | Methods and Sample Size (Number) | |||
|---|---|---|---|---|---|
| Districts | II * | KII * | FGD * | ||
| 1 | Chattogram | Dakkhin kattali | 21 | 5 | 3 |
| Ali akmol ghat | 58 | ||||
| Kathghor | 23 | ||||
| Fishery ghat | 36 | ||||
| Riaz Uddin market | 6 | ||||
| 2 | Patuakhali | Mohipur | 53 | 5 | 3 |
| Alipur | 50 | ||||
| Characteristics | Categories | Kattolighat (n = 21) | Ali Akmol Ghat (n = 58) | Kathghor (n = 23) | Fishery Ghat (n = 36) | Riaz Uddhin Market (n = 6) | Mohipur (n = 53) | Alipur (n = 50) | Total (n = 247) |
|---|---|---|---|---|---|---|---|---|---|
| % | % | % | % | % | % | % | % | ||
| Experience in fishing | <20 | 14.29 | 8.62 | 8.7 | 11.11 | 0 | 15.09 | 16.00 | 12.15 |
| 20–30 | 23.81 | 32.76 | 26.09 | 27.78 | 50 | 24.53 | 36.00 | 29.96 | |
| 31–40 | 42.86 | 37.93 | 43.48 | 41.67 | 33.33 | 37.74 | 28.00 | 37.25 | |
| >40 | 19.05 | 20.69 | 21.74 | 19.44 | 16.67 | 22.64 | 20.00 | 20.65 | |
| Participation training program | 14.29 | 34.48 | 39.13 | 47.22 | 0 | 56.60 | 55.00 | 42.51 | |
| Women’s activities | Housewife | 57.14 | 56.90 | 65.22 | 63.89 | 66.67 | 73.58 | 68.00 | 64.37 |
| Garments worker | 33.33 | 31.03 | 34.78 | 27.78 | 33.33 | 0 | 0 | 18.22 | |
| Buffalo rearing | 9.52 | 12.07 | 0 | 0 | 0 | 0 | 0 | 4.05 | |
| Cow rearing | 0 | 0 | 0 | 8.33 | 0 | 0 | 0 | 1.21 | |
| Dry fish sorting | 0 | 0 | 0 | 0 | 0 | 20.75 | 24.00 | 9.31 | |
| Shopkeeper | 0 | 0 | 0 | 0 | 0 | 5.66 | 8.00 | 2.83 | |
| Children activities | Go to school | 57.14 | 53.45 | 56.52 | 63.89 | 66.67 | 41.51 | 36.00 | 49.80 |
| Fishing | 14.29 | 17.24 | 17.39 | 16.67 | 16.67 | 15.09 | 22.00 | 17.41 | |
| Sorting | 23.81 | 18.97 | 17.39 | 11.11 | 16.67 | 15.09 | 16.00 | 16.60 | |
| Net-making | 4.76 | 6.9 | 8.7 | 5.56 | 0 | 16.98 | 14.00 | 10.12 | |
| Boat-making | 0 | 3.45 | 0 | 2.78 | 0 | 11.32 | 12.00 | 6.07 | |
| Number of meals a day | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 (Occasional) | 23.81 | 20.69 | 30.43 | 27.78 | 16.67 | 16.98 | 6.00 | 17.41 | |
| 2 | 14.29 | 15.52 | 17.39 | 0 | 0 | 0 | 0 | 6.88 | |
| 3 | 61.90 | 63.79 | 52.17 | 72.22 | 83.33 | 90.57 | 94.00 | 75.71 |
| Characteristics | Categories | Chattogram (n = 144) | Patuakhali (n = 103) | Total (n = 247) |
|---|---|---|---|---|
| (%) Frequency | (%) Frequency | (%) Frequency | ||
| Ownership of house | Yes | 11.81 (17) | 10.68 (11) | 11.34 (28) |
| No | 88.81 (127) | 89.32 (92) | 88.66 (219) | |
| Additional land except house | Yes | 9.72 (14) | 4.85 (5) | 7.69 (19) |
| No | 90.28 (130) | 95.15 (98) | 92.31 (228) | |
| Having private latrine | Yes | 88. 89 (128) | 79.61 (82) | 85.02 (210) |
| No | 11.11 (16) | 20.39 (21) | 14.98 (37) | |
| Electricity facility | Yes | 29.17 (42) | 79.61 (82) | 50.20 (124) |
| No | 20.83 (30) | 20.39 (21) | 20.65 (51) | |
| Solar system | 50 (72) | 0 | 29.15 (72) | |
| Transportation facility | Good | 100 (144) | 0 | 58.30 (144) |
| Poor | 0 | 54.37 (56) | 22.67 (56) | |
| Very poor | 0 | 45.63 (47) | 19.03 (47) | |
| Source of drinking water | Supply water | 86.81 (125) | 3.88 (4) | 52.23 (129) |
| Tube well | 7.64 (11) | 65.05 (67) | 31.58 (78) | |
| Pump water | 5.56 (8) | 17.48 (18) | 10.53 (26) | |
| Surface water | 0 | 13.59 (14) | 5.67 (14) | |
| Medical support | Pharmacy doctor | 45.14 (65) | 32.04 (33) | 39.68 (98) |
| Upazilla clinic | 0 | 66.02 (68) | 27.53 (68) | |
| District hospital | 53.47 (77) | 0 | 31.17 (77) | |
| Qualified doctor | 11.39 (2) | 1.94 (2) | 1.62 (4) | |
| Having own boat | Yes | 43.75 (63) | 55.34 (57) | 48.58 (120) |
| No | 56.25 (81) | 44.66 (46) | 51.42 (127) |
| Characteristics | Categories | Chattogram (n = 144) | Patuakhali (n = 103) | Total (n = 247) |
|---|---|---|---|---|
| Frequency (%) | Frequency (%) | Frequency (%) | ||
| Monthly income in Bangladeshi Taka (BDT) | <5000 | 31 (21.53) | 11 (10.68) | 42 (17.00) |
| 5000–10,000 | 61 (42.36) | 55 (53.40) | 116 (46.96) | |
| 10,000–20,000 | 38 (26.39) | 27 (26.21) | 65 (26.32) | |
| >20,000 | 14 (9.72) | 10 (9.71) | 24 (9.72) | |
| Status of income level (last 10 years) | Increase | 14 (9.72) | 9 (8.74) | 23 (9.31) |
| Decrease | 130 (90.28) | 94 (91.26) | 224 (90.69) | |
| Sources of money | Aratdar | 73 (50.69) | 46 (44.66) | 119 (48.18) |
| Dadondar | 28 (19.44) | 16 (15.53) | 44 (17.81) | |
| Boat owner | 36 (25.00) | 31 (30.10) | 67 (27.13) | |
| Personal savings | 2 (1.39) | 4 (3.88) | 6 (2.43) | |
| NGOs | 5 (3.47) | 6 (5.83) | 11 (4.45) | |
| Personal saving | Yes | 16 (11.11) | 14 (13.59) | 30 (12.15) |
| No | 128 (88.89) | 89 (86.41) | 217 (87.85) | |
| Sale their catch | Aratdar | 70 (48.61) | 38 (36.89) | 108 (43.72) |
| Dadondar | 37 (25.69) | 11 (10.68) | 48 (19.43) | |
| Paiker | 33 (22.92) | 32 (31.07) | 65 (26.32) | |
| Local market | 4 (2.78) | 22 (21.36) | 26 (10.53) |
| Vulnerability Context | Examples |
|---|---|
| Shocks | Natural disasters (such as floods, storm surges, and cyclones) Frequent ban period Stakeholders and management authority conflicts Illness, fear of pirate attacks Absence of cold storage High-interest loan |
| Trends | Availability of hilsa decreased Increased fishers Increased fishing pressure Environmental changes The political crises at the local and national levels, such as limited involvement in decision-making and restricted access to local institutions |
| Seasonality | Alteration of the migration route Availability of hilsa Variations in the demand for hilsa Alteration of employment opportunities Ban period suffering Seasonal unemployment |
| Components | Examples |
|---|---|
| Policies |
|
| Institutions |
|
| Culture |
|
| Job market |
|
| Explanatory Variables | Categories | Coefficients | Standard Error | p-Value | Odds Ratios |
|---|---|---|---|---|---|
| Age | <26 (Reference category) | 0.913 | |||
| 26–35 | 0.785 | 1.111 | 0.480 | 2.193 | |
| 36–45 | −1.907 | 4.019 | 1.000 | 0.162 | |
| >45 | −1.165 | 2.269 | 0.999 | 0.123 | |
| Education | Illiterate (Reference category) | 0.007 | |||
| Primary | −1.761 | 1.432 | 0.219 | 0.172 | |
| Secondary | −0.314 | 1.431 | 0.826 | 0.731 | |
| Higher secondary | 0.464 | 1.733 | 0.789 | 1.591 | |
| Experiences | <20 (Reference category) | 0.513 | |||
| 20–30 | −1.630 | 1.076 | 0.130 | 0.196 | |
| 31–40 | 2.650 | 4.019 | 0.12 | 9.291 | |
| >40 | 1.622 | 2.269 | 0.91 | 1.222 | |
| Family members | <5 (Reference category) | 0.062 | |||
| 5–10 | 0.006 | 0.572 | 0.992 | 1.006 | |
| 11–15 | 1.013 | 0.455 | 0.026 ** | 2.755 | |
| Monthly income (BDT) | <5000 (Reference category) | 0.207 | |||
| 5000–10,000 | 0.986 | 0.826 | 0.233 | 2.680 | |
| 10,001–20,000 | −0.397 | 0.661 | 0.571 | 0.688 | |
| >20,000 | −0.366 | 0.692 | 0.597 | 0.694 | |
| Training | Yes | 1.063 | 0.438 | 0.015 ** | 2.894 |
| Having own boats | Yes | −0.397 | 0.417 | 0.340 | 0.672 |
| Having house ownership | Yes | 1.583 | 0.529 | 0.003 * | 4.870 |
| Having additional land | Yes | 0.628 | 0.740 | 0.396 | 1.874 |
| Formal society | Yes | −1.304 | 0.561 | 0.020 ** | 0.271 |
| Outcomes | Explanation |
|---|---|
| Income | The majority of respondents claim that their income has fallen in comparison to the prior situation. |
| Well-being | The majority of the hilsa fishing communities are poor, and they frequently face marginalization. They have minimal influence on decision-making and limited access to resources. |
| Vulnerability | Hilsa fishers are in a vulnerable situation in terms of trends (e.g., increased fishers and fishing pressure), shocks (e.g., natural calamities), and seasonality (e.g., alteration of income, the demand for hilsa, etc.). |
| Food security | They were unable to provide for their family’s food demands throughout the ban period. It seems like “no job, no food”. |
| Sustainability | While social sustainability is in somewhat better form, biological and economic sustainability are not maintained. |
| Outcomes | Explanation | Link to Social–Ecological Traps | Possible Way Out |
|---|---|---|---|
| Income | The earnings of hilsa fishermen are uncertain, fluctuate throughout the year, and have declined during the last ten years. | Their reduced income trapped them in a debt cycle, and they fell into the traps. | The system can be helped to avoid the traps by livelihood alternatives and fisher-friendly finance systems. |
| Well-being | Hilsa fishermen’s general state of well-being is low because of their marginalization in politics, lack of access to quality healthcare, and exclusion from mainstream society. | Due to political marginalization and the community’s lack of equal treatment, middlemen and other powerful actors can take advantage of situations, resulting in a variety of unfavorable feedback and traps. | Fishermen who are treated fairly in society are able to voice their opinions against social and political injustices and have their contributions taken into consideration for the long-term sustainability of the fishery. |
| Vulnerability | Hilsa fishermen are still susceptible to a variety of shocks (e.g., natural disasters), trends (low catch rates and hilsa availability), and seasonality (e.g., seasonal unemployment). | The system falls into traps as a result of negative feedback created by the increased vulnerability brought on by both human and climate change-related action. | Avoiding the traps can be facilitated by societies, governmental organizations, and fishermen working together effectively and coordinating their efforts. |
| Food security | Overall, there is good food security in the studied areas. However, they mostly experienced food insecurity during the fishing restriction. | They were kept in the debt cycle by food insecurity during the ban time. | Eliminating excessive use of resources, implementing regulations that are helpful, and finding new sources of income will help them have more food and financial stability. |
| Sustainable use of hilsa fishing | All things considered, the hilsa fishery’s sustainability is not doing well. Nevertheless, it is exploited by the fishers to meet their short-term demands. | The ecosystem’s balance is disrupted, and hilsa populations are directly threatened by illegal fishing methods, including using tiny mesh sizes and unapproved gear. | Avoiding the traps can be facilitated by increased awareness, compliance with legislation, empowerment, and engagement. |
| Reasons Behind Decline of Hilsa Fishery | Rank Given by the Respondents | Total No. of Respondents | Total Score | Mean Score | Rank | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |||||
| Use of destructive fishing gears | 101 | 58 | 55 | 16 | 9 | 1 | 7 | 247 | 16,217 | 65.64 | I |
| Huge catch of hilsa | 79 | 60 | 57 | 24 | 10 | 7 | 10 | 247 | 15,466 | 62.62 | II |
| Increased fishers | 29 | 67 | 46 | 65 | 22 | 11 | 7 | 247 | 140.41 | 56.85 | III |
| Climate change impact | 37 | 31 | 24 | 68 | 40 | 15 | 32 | 247 | 12,649 | 51.21 | IV |
| Illegal catching of juveniles and broodstock | 9 | 13 | 22 | 37 | 41 | 65 | 60 | 247 | 10,022 | 40.57 | V |
| Siltation | 0 | 9 | 16 | 11 | 22 | 76 | 113 | 247 | 8148 | 32.98 | VI |
| Illegal access | 0 | 0 | 10 | 15 | 25 | 40 | 157 | 247 | 7249 | 29.35 | VII |
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Sarker, M.; Shamsuzzaman, M.M.; Akter, K.; Talukdar, A.; Asadujjaman, M.; Mozumder, M.M.H. Unexplored Social–Ecological Trap Lens of Hilsa Fishery in Bangladesh. Sustainability 2026, 18, 295. https://doi.org/10.3390/su18010295
Sarker M, Shamsuzzaman MM, Akter K, Talukdar A, Asadujjaman M, Mozumder MMH. Unexplored Social–Ecological Trap Lens of Hilsa Fishery in Bangladesh. Sustainability. 2026; 18(1):295. https://doi.org/10.3390/su18010295
Chicago/Turabian StyleSarker, Mukta, Md. Mostafa Shamsuzzaman, Khadija Akter, Anuradha Talukdar, Md. Asadujjaman, and Mohammad Mojibul Hoque Mozumder. 2026. "Unexplored Social–Ecological Trap Lens of Hilsa Fishery in Bangladesh" Sustainability 18, no. 1: 295. https://doi.org/10.3390/su18010295
APA StyleSarker, M., Shamsuzzaman, M. M., Akter, K., Talukdar, A., Asadujjaman, M., & Mozumder, M. M. H. (2026). Unexplored Social–Ecological Trap Lens of Hilsa Fishery in Bangladesh. Sustainability, 18(1), 295. https://doi.org/10.3390/su18010295

