The composition of flora and fauna in low-lying coastal regions worldwide is being altered by sea-level rise in a changing climate, favoring saline-tolerant species. These shifts are projected to have significant implications for nature-based livelihods, resource availability, market prices, and the food and nutrition security of coastal populations, particularly those with limited choices and affordability. The vulnerabilities arising from these changes underscore the critical need for adaptaton planning to build resilience. In the southwest coastal region of Bangladesh, rising sea levels and upstream changes in freshwater flux are intensifying riverine salinity, with annual flux dynamics driving substantial salinity changes and providig insights into future trends as high-salinity water encroaches further inland. In this study, river salinity monitor data were combined with fish sales records from nearby wholesale markets to evaluate the magnitude, spatial distribution, and fishig impact of salinity changes throughout 2023. Significant impacts on fish quantities were observed, and analysis of associated child health data revealed that salinity-related health challenges persist despite steady poverty reduction. Econometric aalysis of fish catch records demonstrated that salinity changes differentially affect the availability of fish species with varying salinity tolerances, reflecting the interplay of species-specific salinity aversion and fishers’ adaptive strategies o optimize profitable catches. These findings highlight the importance of complementing technical assessments of species-specific salinity tolerances with empirical salinity and catch data to improve projections of salinity impacts on fish consumptin in affected regions. The results provide actionable insights into the dynamic interactions between environmental change, ecological responses, and human adaptation in coastal settings.
Repository name | URI |
---|---|
Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise, version 22H2
• Processor: Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz 2.60 GHz (2 processors)
• Memory available: 1 TB
• Software version: Stata 18.0 MP, R 4.4.2
The code takes approximately 10 minutes to run.
To successfully replicate these figures, users must follow these steps:
All data sources are publicly available and included in the reproducibility package.
Author | Affiliation | |
---|---|---|
Susmita Dasgupta | World Bank | sdasgupta@worldbank.org |
Brian Blankespoor | World Bank | bblankespoor@worldbank.org |
Mainul Huq | World Bank | |
Zahirul Huque Khan | Institute of Water Modeling, Bangladesh | |
Md. Golam Mustafa | WorldFish | |
David Wheeler | World Bank | dwheeler1@worldbank.org |
2025-04-07
Location | Code |
---|---|
Bangladesh | BGD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
---|---|
Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
---|---|---|
Susmita Dasgupta | World Bank | sdasgupta@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-04-07
1