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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Impact of sea level rise on coastal wetland ecosystems in the Ganges-Brahmaputra delta

Lan YangYun Wu

Volume 7(2) · Pages 66–69 · DOI: 10.22271/27067483.2025.v7.i2a.570 ↗

Research areasCoastal wetland ecosystem dynamicsCoastal and Marine DynamicsWetland Management and Conservation

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Abstract

Author-written

How vulnerable are coastal wetland ecosystems when sea levels rise faster than sediment accretion can offset? This research examined sea level rise effects on wetland ecosystems across the Ganges-Brahmaputra Delta (GBD) between 2005 and 2023, focusing on vegetation shifts, salinity changes, and habitat loss. The research area covered five sub-regions spanning roughly 26,000 km² of tidal wetlands and mangrove forests. Satellite imagery from Landsat 7 and 8, combined with field salinity measurements, tidal gauge records, and vegetation transect data, formed the basis of this investigation. Results showed wetland area declined by 13.7% over the observation period, with the Meghna Estuary recording the highest loss at 22.7%. Mean salinity rose from 2.1 ppt in 2000 to 9.8 ppt by 2023, coinciding with cumulative sea level increase of 13.1 mm. Mangrove species composition shifted toward salt-tolerant taxa, and freshwater-dependent species retreated inland by an average of 4.3 km. A strong positive correlation (r = 0.91, p < 0.001) was found between sea level rise and salinity intrusion depth. Sediment supply reduction from upstream damming worsened the problem, as vertical accretion rates dropped to 2.8 mm/yr against relative sea level rise of 5.6 mm/yr.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • The Ganges-Brahmaputra Delta (GBD) is a critical region spanning approximately 100,000 km² that supports more than 150 million people and contains one of the world's largest mangrove systems. View evidence ↗

      Why it matters

      The Ganges-Brahmaputra Delta (GBD) is a critical region spanning approximately 100,000 km² that supports more than 150 million people and contains one of the world's largest mangrove systems.

      In the paper's own words

      “Spanning roughly 100,000 km² across Bangladesh and eastern India, the GBD supports over 150 million people and hosts one of the largest mangrove systems on the planet”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Wetlands in the GBD provide essential ecological services, including acting as fish nurseries, protecting against cyclones, and sequestering about 4.1 tonnes of carbon per hectare each year. View evidence ↗

      Why it matters

      Wetlands in the GBD provide essential ecological services, including acting as fish nurseries, protecting against cyclones, and sequestering about 4.1 tonnes of carbon per hectare each year.

      In the paper's own words

      “The GBD wetlands serve as nursery grounds for fish species, buffer zones against cyclone damage, and carbon sinks storing roughly 4.1 tonnes of carbon per hectare annually”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Sea level rise poses a threat to the region by increasing inland tidal inundation and saltwater penetration, which alters soil chemistry and forces freshwater plants to move to higher ground. View evidence ↗

      Why it matters

      Sea level rise poses a threat to the region by increasing inland tidal inundation and saltwater penetration, which alters soil chemistry and forces freshwater plants to move to higher ground.

      In the paper's own words

      “Sea level rise threatens this region through tidal inundation extending further inland, saltwater penetration altering soil chemistry and pushing freshwater vegetation toward higher ground”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to investigate how sea level rise affected salinity, vegetation composition, and the overall extent of wetlands across five sub-regions of the GBD between 2005 and 2023. View evidence ↗

      The question

      The study aimed to investigate how sea level rise affected salinity, vegetation composition, and the overall extent of wetlands across five sub-regions of the GBD between 2005 and 2023.

      In the paper's own words

      “This research addressed these gaps by examining sea level rise effects on wetland extent, vegetation composition, and salinity across five GBD sub-regions from 2005 to 2023.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The study focused on five sub-regions of the delta, covering approximately 26,000 km² of mangrove forests and tidal wetlands. View evidence ↗

      What they did

      The study focused on five sub-regions of the delta, covering approximately 26,000 km² of mangrove forests and tidal wetlands.

      In the paper's own words

      “The research area covered five sub-regions spanning roughly 26,000 km² of tidal wetlands and mangrove forests.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Researchers used Landsat 7 and 8 satellite imagery processed via a Maximum Likelihood supervised classification algorithm, supplemented by tidal gauge records, field salinity measurements, and vegetation transects. View evidence ↗

      What they did

      Researchers used Landsat 7 and 8 satellite imagery processed via a Maximum Likelihood supervised classification algorithm, supplemented by tidal gauge records, field salinity measurements, and vegetation transects.

      In the paper's own words

      “Wetland mapping used supervised classification with the Maximum Likelihood algorithm in ERDAS Imagine 2020.”

      Page 2

      “Satellite imagery from Landsat 7 and 8, combined with field salinity measurements, tidal gauge records, and vegetation transect data, formed the basis of this investigation.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Field data collection included salinity measurements at 148 stations and the recording of canopy height, density, and species composition across 36 vegetation transects measuring 50 m by 10 m. View evidence ↗

      What they did

      Field data collection included salinity measurements at 148 stations and the recording of canopy height, density, and species composition across 36 vegetation transects measuring 50 m by 10 m.

      In the paper's own words

      “Salinity was measured at 148 stations during both tidal phases across four rounds.”

      Page 2

      “Vegetation transects (50 m × 10 m) at 36 sites recorded species composition, density, and canopy height.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Between 2005 and 2023, the total wetland area across the five studied sub-regions decreased by 2,721 km², representing an overall loss of 13.7%. View evidence ↗

      What they found

      Between 2005 and 2023, the total wetland area across the five studied sub-regions decreased by 2,721 km², representing an overall loss of 13.7%.

      In the paper's own words

      “Wetland area across the five sub-regions declined by 2,721 km² between 2005 and 2023, a 13.7% overall loss (Table 1).”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • The Meghna Estuary experienced the most significant decline, losing 22.7% of its area at a rate of 41.4 km² per year. View evidence ↗

      What they found

      The Meghna Estuary experienced the most significant decline, losing 22.7% of its area at a rate of 41.4 km² per year.

      In the paper's own words

      “The Meghna Estuary showed the steepest decline at 22.7%, losing cover at 41.4 km²/yr.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • From 2000 to 2023, mean salinity increased from 2.1 ppt to 9.8 ppt, which occurred alongside a cumulative sea level rise of 13.1 mm. View evidence ↗

      What they found

      From 2000 to 2023, mean salinity increased from 2.1 ppt to 9.8 ppt, which occurred alongside a cumulative sea level rise of 13.1 mm.

      In the paper's own words

      “Mean salinity rose from 2.1 ppt in 2000 to 9.8 ppt by 2023, coinciding with cumulative sea level increase of 13.1 mm.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • There was a strong positive correlation (r = 0.91, p < 0.001) between the rise in sea levels and the increase in salinity intrusion. View evidence ↗

      What they found

      There was a strong positive correlation (r = 0.91, p < 0.001) between the rise in sea levels and the increase in salinity intrusion.

      In the paper's own words

      “Sea level and salinity showed a clear co-increasing trend (Figure 2) with r = 0.91 (p < 0.001).”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • Vegetation shifted as salt-tolerant mangrove species expanded and freshwater-dependent species moved inland by an average of 4.3 km. View evidence ↗

      What they found

      Vegetation shifted as salt-tolerant mangrove species expanded and freshwater-dependent species moved inland by an average of 4.3 km.

      In the paper's own words

      “Mangrove species composition shifted toward salt-tolerant taxa, and freshwater-dependent species retreated inland by an average of 4.3 km.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Upstream damming reduced sediment supply, causing vertical accretion rates (2.8 mm/yr) to fall below the relative sea level rise (5.6 mm/yr). View evidence ↗

      What they found

      Upstream damming reduced sediment supply, causing vertical accretion rates (2.8 mm/yr) to fall below the relative sea level rise (5.6 mm/yr).

      In the paper's own words

      “Sediment supply reduction from upstream damming worsened the problem, as vertical accretion rates dropped to 2.8 mm/yr against relative sea level rise of 5.6 mm/yr.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Wetland loss accelerated over time, with losses between 2015 and 2020 being 34% to 68% higher than those observed between 2005 and 2010. View evidence ↗

      What they found

      Wetland loss accelerated over time, with losses between 2015 and 2020 being 34% to 68% higher than those observed between 2005 and 2010.

      In the paper's own words

      “The bar chart (Figure 1) reveals loss acceleration, with 2015–2020 losses 34–68% higher than 2005–2010.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors recommend implementing sediment policies that include controlled dam releases during monsoon peaks and creating local conservation buffer zones to protect vulnerable wetlands. View evidence ↗

      What it means

      The authors recommend implementing sediment policies that include controlled dam releases during monsoon peaks and creating local conservation buffer zones to protect vulnerable wetlands.

      In the paper's own words

      “Management should focus on sediment policies accounting for downstream ecological consequences of dam operation, including controlled releases during monsoon peaks, and local conservation establishing buffer zones around vulnerable wetlands.”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • The authors suggest that future assessments would benefit from increased observation frequency through community-based monitoring involving local fishers. View evidence ↗

      What it means

      The authors suggest that future assessments would benefit from increased observation frequency through community-based monitoring involving local fishers.

      In the paper's own words

      “Community-based monitoring involving local fishers would improve observation frequency for future assessments.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (mangrove forests in the Ganges-Brahmaputra delta). It explains the idea and does not show study data.↗ Enlarge
Sediment Accretion vs. Sea Level Rise
AI-generated conceptual illustration (mangrove forests in the Ganges-Brahmaputra delta). It explains the idea and does not show study data.

AI-generated conceptual illustration (mangrove forests in the Ganges-Brahmaputra delta). It explains the idea and does not show study data.

Open full-size image ↗

Sediment Accretion vs. Sea Level Rise

AI-generated conceptual illustration (mangrove forests in the Ganges-Brahmaputra delta). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Loss%: Sundarbans W vs Sundarbans E vs Meghna Est. vs Chittagong vs Hooghly
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Loss%: Sundarbans W vs Sundarbans E vs Meghna Est. vs Chittagong vs Hooghly

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Retreat (km): Sundarbans W vs Sundarbans E vs Meghna Est. vs Chittagong vs Hooghly
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Retreat (km): Sundarbans W vs Sundarbans E vs Meghna Est. vs Chittagong vs Hooghly

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Wetland area changes across five GBD sub-regionsTable 1Page 2Salinity and vegetation parameters (2021–2023 field campaigns)Table 2Page 2Wetland area loss (%) across five GBD sub-regions during 2005–2010 and 2015–2020Figure 1Page 2Cumulative sea level rise (mm) and salinity intrusion (ppt) in the GBD, 2000–2023Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

What happens to a delta ecosystem when the ocean rises faster than the land can keep up? This question sits at the heart of coastal ecology research, and nowhere is it more pressing than in the Ganges-Brahmaputra Delta [1] . Spanning roughly 100,000 km² across Bangladesh and eastern India, the GBD supports over 150 million people and hosts one of the largest mangrove systems on the planet [2] . Sea level rise threatens this region through tidal inundation extending further inland, saltwater penetration altering soil chemistry and pushing freshwater vegetation toward higher ground, and the combined effects of subsidence, reduced sediment delivery, and thermal expansion creating relative sea level rise far exceeding global averages [3,4,5] . Earlier research measured sea level changes in the Bay of Bengal at 3.0 to 5.2 mm/yr [6] , but few investigations linked these to ecological changes across the delta's wetlands. Some researchers focused on mangrove loss in the Sundarbans [7] , while others tracked salinity trends in agricultural zones [8] . A gap remained in connecting oceanographic changes to biological responses across multiple wetland types. The GBD wetlands serve as nursery grounds for fish species, buffer zones against cyclone damage, and carbon sinks storing roughly 4.1 tonnes of carbon per hectare annually [9,10] . Upstream dams trap sediment that would otherwise nourish the delta surface [11] . This research addressed these gaps by examining sea level rise effects on wetland extent, vegetation composition, and salinity across five GBD sub-regions from 2005 to 2023.

Study Area Description

The research focused on five GBD sub-regions between 21°30'N-23°45'N and 88°00'E-92°00'E: Sundarbans West, Sundarbans East, Meghna Estuary, Chittagong Coastal Zone, and Hooghly Delta. The delta sits on Holocene alluvial sediments deposited over 7,000 years [12] . Tidal range varies from 2.5 m in the western Sundarbans to 5.8 m near the Meghna Estuary, and elevation rarely exceeds 3 m above mean sea level. Dominant vegetation includes Avicennia alba, Sonneratia apetala, and Heritiera fomes in mangrove zones, with Phragmites karka in freshwater marshes.

Climatic and Environmental Conditions

The GBD experiences tropical monsoon climate with premonsoon (March-May), monsoon (June-September), and post-monsoon (October-February) seasons. Annual rainfall ranges from 1,500 mm in the west to 3,200 mm near the Meghna Estuary. Mean annual temperatures ranged from 25.4°C to 27.8°C during the research period. Severe cyclones Sidr (2007), Aila (2009), and Amphan (2020) caused widespread wetland damage. Ganges monsoon discharge averaged 38,000 m³/s with interannual variability up to 28%.

Materials and Methods

Materials and Methods

Materials

Materials

Methods

Wetland mapping used supervised classification with the Maximum Likelihood algorithm in ERDAS Imagine 2020. Training sites were selected from field verification during four seasonal campaigns (pre-monsoon and post-monsoon 2021-2022). Classes included dense mangrove, sparse mangrove, freshwater marsh, tidal mudflat, open water, and non-wetland. Overall accuracy reached 87.3% with kappa of 0.84. Salinity was measured at 148 stations during both tidal phases across four rounds. Sea level trends were analysed using linear regression on monthly mean water levels corrected for subsidence from InSAR data [13] . Vegetation transects (50 m × 10 m) at 36 sites recorded species composition, density, and canopy height. Correlation analysis used Pearson's r (p < 0.05) in R 4.2.1.

Results

Results

Comprehensive Interpretation

Wetland area across the five sub-regions declined by 2,721 km² between 2005 and 2023, a 13.7% overall loss (Table 1). The Meghna Estuary showed the steepest decline at 22.7%, losing cover at 41.4 km²/yr. This sub-region also recorded the highest salinity (11.3 ppt) and lowest accretion rate (2.1 mm/yr), suggesting high tidal energy combined with low sediment supply accelerates erosion. The bar chart (Figure 1) reveals loss acceleration, with 2015-2020 losses 34-68% higher than 2005-2010. Sea level and salinity showed a clear co-increasing trend (Figure 2) with r = 0.91 (p < 0.001). Species richness dropped sharply where salinity exceeded 10 ppt. Freshwater species retreated 2.9-6.7 km inland while salt-tolerant species expanded. Canopy height correlated negatively with salinity (r = -0.78, p < 0.01).

Figure 2. Cumulative sea level rise (mm) and salinity intrusion (ppt) in the GBD, 2000–2023
Cumulative sea level rise (mm) and salinity intrusion (ppt) in the GBD, 2000–2023↗ Enlarge
Figure 2
Cumulative sea level rise (mm) and salinity intrusion (ppt) in the GBD, 2000–2023

Cumulative sea level rise (mm) and salinity intrusion (ppt) in the GBD, 2000–2023

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 1. Wetland area loss (%) across five GBD sub-regions during 2005–2010 and 2015–2020
Wetland area loss (%) across five GBD sub-regions during 2005–2010 and 2015–2020↗ Enlarge
Figure 1
Wetland area loss (%) across five GBD sub-regions during 2005–2010 and 2015–2020

Wetland area loss (%) across five GBD sub-regions during 2005–2010 and 2015–2020

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 1. Wetland area changes across five GBD sub-regions
Sub-region2005 (km²)2023 (km²)Δ (km²)Loss%Rate/yr
Sundarbans W4,8324,237-59512.333.1
Sundarbans E5,1464,698-4488.724.9
Meghna Est.3,2872,541-74622.741.4
Chittagong2,9182,589-32911.318.3
Hooghly3,6543,051-60316.533.5

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Wetland area changes across five GBD sub-regions↗ Enlarge
Table 1
Wetland area changes across five GBD sub-regions

Wetland area changes across five GBD sub-regions

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Discussion

The observed 13.7% wetland loss over 18 years aligns with earlier predictions for individual delta sections [1,6] . The spatial pattern of loss appears linked to local differences in sediment supply and tidal energy rather than sea level rise alone. The Meghna Estuary, receiving less upstream sediment compared to the Sundarbans, lost area at nearly twice the rate of better-nourished sub-regions. This sediment deficit connects to upstream dam construction. Rahman and colleagues [11] estimated that sediment delivery fell by 31% between 1990 and 2015, and our accretion data support that finding. Where vertical accretion drops below relative sea level rise-as in three of five sub-regions-the wetland surface sinks below thresholds for vegetation survival [14] . The salinity-driven vegetation shift matches patterns from other deltas, including the Mississippi [3] , but the GBD case is more severe because subsidence rates here reach 2.5-8.0 mm/yr. If the 2015-2020 loss rate continues, several sub-regions could lose over 30% of remaining wetland within 15 years-shorter than most policy documents assume [15] . The strong sea level-salinity correlation means even modest future acceleration in global sea level will push thresholds past tolerance limits of additional species.

Conclusion

This research showed that GBD coastal wetlands lost 13.7%

Acknowledgement

Acknowledgements Funding SourcesThe authors acknowledge financial support from institutional research funds for environmental monitoring and coastal ecology research.

Figures and tables from the paper

Table 2. Salinity and vegetation parameters (2021–2023 field campaigns)
Sub-regionSalinity (ppt)SpeciesCanopy (m)AccretionRetreat (km)
Sundarbans W8.4179.23.13.8
Sundarbans E7.12110.73.62.9
Meghna Est.11.3126.82.16.7
Chittagong6.9198.43.43.1
Hooghly9.7147.32.85.2

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Salinity and vegetation parameters (2021–2023 field campaigns)↗ Enlarge
Table 2
Salinity and vegetation parameters (2021–2023 field campaigns)

Salinity and vegetation parameters (2021–2023 field campaigns)

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Original paper tableSource PDF · page 2 ↗

References

16 in the original paper
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  15. Spencer T, Schuerch M, Nicholls RJ, Hinkel J. Global coastal wetland change under sea-level rise. Global and Planetary Change. 2016;139:15-30.
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