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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Holocene sea level changes and coastal evolution along the Brazilian Northeast coast

Shirin RostamiAli KarimiMaryam Moradi

Volume 7(9) · Pages 217–220 · DOI: 10.22271/27067483.2025.v7.i9c.646 ↗

Research areasCoastal and Marine DynamicsGeology and Paleoclimatology ResearchMaritime and Coastal Archaeology

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Abstract

Author-written

The Brazilian northeast coast preserves one of the most detailed Holocene sea-level archives in the Southern Hemisphere, yet debate continues about the precise timing and amplitude of the mid-Holocene highstand. This research reconstructed relative sea level (RSL) changes over the past 7,200 years along a 180 km stretch of the Rio Grande do Norte coastline using 16 radiocarbon-dated sea-level indicators, including beachrock outcrops, vermetid gastropod encrustations, and mangrove peat deposits. The RSL curve shows a transgressive phase from 7.2 to 5.4 ka BP, peaking at 4.8 plus or minus 0.4 m above present mean sea level around 5.4-5.1 ka BP, followed by a gradual regression that brought sea level close to its present position by approximately 0.6 ka BP. Coastal landform mapping from Sentinel-2 imagery and field surveys identified five principal morphological units: beach ridges (32.4%), mangrove flats (21.7%), tidal flats (18.3%), dune fields (15.8%), and fringing coral reefs (11.8%). Beach ridge sets record successive phases of progradation tied to the post-highstand regression, with ridge spacing and elevation declining seaward in a pattern consistent with a monotonic fall in RSL. The amplitude of the highstand (4.8 m) exceeds predictions from purely glacio-isostatic models by 0.8-1.2 m, suggesting that an additional tectonic or sediment-loading component influenced vertical land motion along this margin.

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 northeast coast of Brazil is a critical location for studying Holocene sea-level changes because it contains some of the most detailed archives in the Southern Hemisphere. View evidence ↗

      Why it matters

      The northeast coast of Brazil is a critical location for studying Holocene sea-level changes because it contains some of the most detailed archives in the Southern Hemisphere.

      In the paper's own words

      “The Brazilian northeast coast preserves one of the most detailed Holocene sea-level archives in the Southern Hemisphere”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • This region is preferred for calibrating glacio-isostatic adjustment (GIA) models because it lacks the complex isostatic rebound found in glaciated margins and has minimal tectonic interference. View evidence ↗

      Why it matters

      This region is preferred for calibrating glacio-isostatic adjustment (GIA) models because it lacks the complex isostatic rebound found in glaciated margins and has minimal tectonic interference.

      In the paper's own words

      “Unlike glaciated margins where isostatic rebound complicates the signal, this far-field tropical coast records eustatic and hydro-isostatic components with relatively minor tectonic overprinting, making it one of the preferred calibration sites for glacio-isostatic adjustment (GIA) models”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Previous research has identified a mid-Holocene sea-level highstand of 2-5 meters above current levels, though these estimates vary based on location and methodology. View evidence ↗

      Why it matters

      Previous research has identified a mid-Holocene sea-level highstand of 2-5 meters above current levels, though these estimates vary based on location and methodology.

      In the paper's own words

      “Along the Brazilian coast, multiple researchers have documented a highstand of 2-5 m above present, but estimates vary with latitude, indicator type, and dating precision”

      Page 1

      Found in: Introduction

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

    • The study aimed to create a new relative sea level (RSL) curve for the Rio Grande do Norte coast, map related coastal landforms, and determine if the highstand amplitude suggests additional vertical land motion beyond GIA model predictions. View evidence ↗

      The question

      The study aimed to create a new relative sea level (RSL) curve for the Rio Grande do Norte coast, map related coastal landforms, and determine if the highstand amplitude suggests additional vertical land motion beyond GIA model predictions.

      In the paper's own words

      “This research aimed to (a) construct a new RSL curve for the Rio Grande do Norte coast using rigorously assessed sea-level indicators with quantified vertical uncertainties, (b) map the coastal landforms that record the morphological response to the transgression-regression cycle, and (c) compare the observed highstand amplitude with GIA model predictions to evaluate whether additional vertical land motion is required”

      Page 1

      Found in: Introduction

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

    • Researchers analyzed 16 radiocarbon-dated indicators, including mangrove peat, beachrock, and vermetid gastropod encrustations, along 180 km of the Rio Grande do Norte coast to reconstruct sea levels over 7,200 years. View evidence ↗

      What they did

      Researchers analyzed 16 radiocarbon-dated indicators, including mangrove peat, beachrock, and vermetid gastropod encrustations, along 180 km of the Rio Grande do Norte coast to reconstruct sea levels over 7,200 years.

      In the paper's own words

      “This research reconstructed relative sea level (RSL) changes over the past 7,200 years along a 180 km stretch of the Rio Grande do Norte coastline using 16 radiocarbon-dated sea-level indicators, including beachrock outcrops, vermetid gastropod encrustations, and mangrove peat deposits.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • Coastal landforms were mapped using Sentinel-2 imagery and a Support Vector Machine classification method, which achieved a 91.2% accuracy based on 120 ground-truth points. View evidence ↗

      What they did

      Coastal landforms were mapped using Sentinel-2 imagery and a Support Vector Machine classification method, which achieved a 91.2% accuracy based on 120 ground-truth points.

      In the paper's own words

      “Coastal landforms were mapped by supervised classification (Support Vector Machine) of Sentinel-2 composites, validated with 120 ground-truth points (overall accuracy 91.2%).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The study used the SHCal20 curve for terrestrial samples and the Marine20 curve (with a local delta-R of -8 ± 40 years) to calibrate radiocarbon dates. View evidence ↗

      What they did

      The study used the SHCal20 curve for terrestrial samples and the Marine20 curve (with a local delta-R of -8 ± 40 years) to calibrate radiocarbon dates.

      In the paper's own words

      “Dates were calibrated using the SHCal20 curve for terrestrial samples and the Marine20 curve with a local delta-R of minus 8 plus or minus 40 years for marine carbonates”

      Page 2

      Found in: Methods

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

    • Sea levels rose from 7.2 to 5.4 ka BP, peaking at 4.8 ± 0.4 m above current levels between 5.4 and 5.1 ka BP, before gradually regressing to near-present levels by 0.6 ka BP. View evidence ↗

      What they found

      Sea levels rose from 7.2 to 5.4 ka BP, peaking at 4.8 ± 0.4 m above current levels between 5.4 and 5.1 ka BP, before gradually regressing to near-present levels by 0.6 ka BP.

      In the paper's own words

      “The RSL curve shows a transgressive phase from 7.2 to 5.4 ka BP, peaking at 4.8 plus or minus 0.4 m above present mean sea level around 5.4-5.1 ka BP, followed by a gradual regression that brought sea level close to its present position by approximately 0.6 ka BP.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The coastal landscape is composed of five main units, dominated by beach ridges (32.4%), followed by mangrove flats (21.7%), tidal flats (18.3%), dune fields (15.8%), and fringing coral reefs (11.8%). View evidence ↗

      What they found

      The coastal landscape is composed of five main units, dominated by beach ridges (32.4%), followed by mangrove flats (21.7%), tidal flats (18.3%), dune fields (15.8%), and fringing coral reefs (11.8%).

      In the paper's own words

      “Coastal landform mapping from Sentinel-2 imagery and field surveys identified five principal morphological units: beach ridges (32.4%), mangrove flats (21.7%), tidal flats (18.3%), dune fields (15.8%), and fringing coral reefs (11.8%).”

      Page 1

      Found in: Material and Methods Material

      Read it in the full textOpen PDF at page 1 ↗
    • Beach ridge elevations decrease seaward, with the oldest inland ridges at 4.5-5.2 m and the youngest outer ridges at 1.5-2.0 m, reflecting the falling sea level. View evidence ↗

      What they found

      Beach ridge elevations decrease seaward, with the oldest inland ridges at 4.5-5.2 m and the youngest outer ridges at 1.5-2.0 m, reflecting the falling sea level.

      In the paper's own words

      “The innermost (oldest) ridges stand at 4.5-5.2 m elevation, while the outermost (youngest) ridges reach only 1.5-2.0 m.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • The observed highstand of 4.8 m is 0.8 to 1.2 m higher than what is predicted by purely glacio-isostatic models. View evidence ↗

      What they found

      The observed highstand of 4.8 m is 0.8 to 1.2 m higher than what is predicted by purely glacio-isostatic models.

      In the paper's own words

      “The amplitude of the highstand (4.8 m) exceeds predictions from purely glacio-isostatic models by 0.8-1.2 m”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  5. What it means

    • The authors conclude that the discrepancy between observed and predicted sea levels suggests additional vertical land motion, likely caused by dynamic topography or sediment loading. View evidence ↗

      What it means

      The authors conclude that the discrepancy between observed and predicted sea levels suggests additional vertical land motion, likely caused by dynamic topography or sediment loading.

      In the paper's own words

      “The highstand amplitude exceeds GIA model predictions by 0.8-1.2 m, suggesting an additional vertical land motion component, possibly related to sediment loading or dynamic topography.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors state that future research needs to extend the record back to 8-10 ka BP and use geodetic monitoring to independently measure vertical land motion. View evidence ↗

      What it means

      The authors state that future research needs to extend the record back to 8-10 ka BP and use geodetic monitoring to independently measure vertical land motion.

      In the paper's own words

      “Future work should extend the indicator record to 8-10 ka BP using submerged beachrock and incorporate coastal geodetic monitoring to constrain ongoing vertical land motion independently of the geological archive”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

2 visuals

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

AI-generated illustration
AI-generated conceptual illustration (The Brazilian Northeast coastline with sandy beach ridges). It explains the idea and does not show study data.↗ Enlarge
Sea Level Cycle and Ridge Formation
AI-generated conceptual illustration (The Brazilian Northeast coastline with sandy beach ridges). It explains the idea and does not show study data.

AI-generated conceptual illustration (The Brazilian Northeast coastline with sandy beach ridges). It explains the idea and does not show study data.

Open full-size image ↗

Sea Level Cycle and Ridge Formation

AI-generated conceptual illustration (The Brazilian Northeast coastline with sandy beach ridges). 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
RSL (m): 7.2 vs 6.3 vs 5.4 vs 5.1 vs 3.8
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 ↗

RSL (m): 7.2 vs 6.3 vs 5.4 vs 5.1 vs 3.8

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

View source evidence ↗

Figures & tables

From the original paper
Radiocarbon ages and RSL positions for sea-level indicatorsTable 1Page 2Proportional distribution of coastal landform units mappedFigure 1Page 2Reconstructed relative sea level curve for the Rio Grande doFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

If the global ocean has been rising by about 3.4 mm per year over the past three decades, what can the geological record of past sea-level changes tell us about how coastlines respond to submergence and emergence over millennial time scales? The Brazilian northeast coast offers a natural laboratory for answering that question [1] . Unlike glaciated margins where isostatic rebound complicates the signal, this far-field tropical coast records eustatic and hydro-isostatic components with relatively minor tectonic overprinting, making it one of the preferred calibration sites for glacio-isostatic adjustment (GIA) models [2] . During the mid-Holocene, global mean sea level stabilised at or slightly above its present position between roughly 7 and 5 ka BP, then remained approximately stationary or fell slightly in many tropical and Southern Hemisphere locations as meltwater redistribution and ocean siphoning lowered the equatorial sea surface [3] . Along the Brazilian coast, multiple researchers have documented a highstand of 2-5 m above present, but estimates vary with latitude, indicator type, and dating precision [4,5] . Part of this scatter reflects genuine alongcoast variability driven by differences in shelf width, tidal range, and sediment supply, while part stems from methodological inconsistencies in defining the indicative meaning of sealevel markers [6] . This research aimed to (a) construct a new RSL curve for the Rio Grande do Norte coast using rigorously assessed sea-level indicators with quantified vertical uncertainties, (b) map the coastal landforms that record the morphological response to the transgression-regression cycle, and (c) compare the observed highstand amplitude with GIA model predictions to evaluate whether additional vertical land motion is required [7] .

Study Area Description

The research covered a 180 km coastal segment of Rio Grande do Norte state, northeastern Brazil, extending from Touros (5.20 degrees S, 35.46 degrees W) to Tibau do Sul (6.18 degrees S, 35.09 degrees W). The coast is microtidal (spring range 2.0-2.6 m), wavedominated, and oriented roughly north-south. The inner continental shelf is narrow (20-40 km) and underlain by Cretaceous-Tertiary sedimentary rocks of the Potiguar Basin overlain by Quaternary aeolian and marine deposits [4] . Beach ridges, the principal geomorphic archive of sea-level change, form sets of parallel low ridges (1.5-6.0 m elevation) extending up to 4 km inland from the modern shoreline. Climate is semi-arid tropical (Koppen BSh), with annual rainfall of 400-800 mm concentrated between March and July. The analytical work was conducted at the Department of Remote Sensing and GIS, Ahvaz College of Environmental Studies, Khuzestan, Iran, from March 2022 to January 2023.

Material and Methods Material

Sixteen sea-level indicators were sampled during field campaigns in August 2021 and February 2022. These comprised eight beachrock outcrops with in-situ bivalve shells, four vermetid gastropod (Petaloconchus varians) encrustations on rocky shore platforms, and four basal mangrove peats from cores collected with a 5 cm-diameter hand auger. Geographic positions were recorded with a Leica GS16 RTK-GNSS receiver (vertical accuracy plus or minus 2 cm relative to the IBGE geoid model). Sentinel-2 Level 2A imagery (10 m) from three dates (January, May, September 2022) provided the basis for coastal landform classification [8] .

Methods

Radiocarbon dating was performed by accelerator mass spectrometry (AMS) at the Laboratoire de Mesure du Carbone 14, Saclay, France. Dates were calibrated using the SHCal20 curve for terrestrial samples and the Marine20 curve with a local delta-R of minus 8 plus or minus 40 years for marine carbonates [9] . Each indicator was assigned an indicative meaning (reference water level plus or minus indicative range) following the protocol of Vacchi et al. [6] , yielding RSL data points with quantified vertical uncertainties. The RSL curve was fitted using a penalised spline regression in R 4.2 with the rsl package [10] . Coastal landforms were mapped by supervised classification (Support Vector Machine) of Sentinel-2 composites, validated with 120 ground-truth points (overall accuracy 91.2%). Beach ridge elevations were surveyed with RTK-GNSS along 14 transects perpendicular to the shoreline. Figure 1 shows that beach ridges dominate the coastal landscape (32.4%), consistent with a wave-dominated, regressive shoreline system. Mangrove and tidal flats together account for 40% of the mapped area, concentrated in embayments and estuarine mouths where low-energy conditions favour fine-sediment deposition. monotonic decline after the highstand, with no evidence of secondary oscillations larger than the measurement uncertainty.

Figure 1. Proportional distribution of coastal landform units mapped
Proportional distribution of coastal landform units mapped↗ Enlarge
Figure 1
Proportional distribution of coastal landform units mapped

Proportional distribution of coastal landform units mapped

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

Results

Results

Discussion

The mid-Holocene highstand of 4.8 m recorded here is broadly consistent with previous estimates of 3.5-5.0 m for the Brazilian northeast [4,5] , though it sits near the upper end of the range. Angulo et al. [11] compiled over 1,000 radiocarbon dates along the entire Brazilian coast and identified a systematic northward increase in highstand amplitude, from roughly 2-3 m in the south to 4-5 m in the northeast. The present data reinforce that latitudinal gradient and are compatible with the hydro-isostatic siphoning mechanism, whereby water is drawn away from continental margins after ice-sheet collapse, producing an apparent highstand that is larger at low latitudes [3] . However, GIA models such as ICE-6G_C predict a highstand of only 3.6-4.0 m at this latitude [12] , falling 0.8-1.2 m below the observed peak. Several factors could account for the discrepancy: (a) local tectonic subsidence from sediment loading in the Potiguar Basin, which would amplify the apparent RSL rise; (b) dynamic topography effects related to mantle flow beneath the passive margin; or (c) underestimation of the Antarctic ice-sheet contribution in the GIA model [13] . Resolving this question requires denser sampling along the coast and independent constraints on vertical land motion from campaign GPS or InSAR. The beach ridge stratigraphy provides a useful complementary record. The innermost (oldest) ridges stand at 4.5-5.2 m elevation, while the outermost (youngest) ridges reach only 1.5-2.0 m. This seaward decrease in ridge crest elevation mirrors the falling RSL and demonstrates that progradation was driven primarily by regression rather than by sediment surplus under a stable sea level [14] .

Conclusion

This research reconstructed Holocene relative sea-level changes along the Rio Grande do Norte coast of northeastern Brazil using 16 radiocarbon-dated indicators and coastal landform mapping. The RSL curve records a transgressive phase culminating in a highstand of 4.8 m above present at 5.4-5.1 ka BP, followed by a gradual regression to near-modern levels by 0.6 ka BP. Beach ridge sets document the morphological response to this regression through progressively lower crest elevations seaward. The highstand amplitude exceeds GIA model predictions by 0.8-1.2 m, suggesting an additional vertical land motion component, possibly related to sediment loading or dynamic topography. The dataset adds spatial resolution to the South American Holocene sea-level database and provides a calibration target for next-generation GIA models. Future work should extend the indicator record to 8-10 ka BP using submerged beachrock and incorporate coastal geodetic monitoring to constrain ongoing vertical land motion independently of the geological archive [15,16,17,18,19,20] .

Acknowledgement

Acknowledgements Funding SourcesThe research was funded through internal grants at Ahvaz College of Environmental Studies.

Figures and tables from the paper

Table 1. Radiocarbon ages and RSL positions for sea-level indicators
IDIndicator14C age (BP)Cal age (ka BP)Elevation (m)RSL (m)Error (m)
SL-01Beachrock6310 ± 457.21.01.2± 0.4
SL-04Vermetid5780 ± 356.33.13.4± 0.6
SL-07Beachrock4920 ± 405.44.54.8± 0.4
SL-09Vermetid4640 ± 305.14.34.6± 0.5
SL-11Peat3520 ± 453.82.62.8± 0.4
SL-14Beachrock1840 ± 351.80.91.1± 0.3
SL-16Peat620 ± 300.60.20.3± 0.2

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

View original table image
Radiocarbon ages and RSL positions for sea-level indicators↗ Enlarge
Table 1
Radiocarbon ages and RSL positions for sea-level indicators

Radiocarbon ages and RSL positions for sea-level indicators

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 2. Reconstructed relative sea level curve for the Rio Grande do
Reconstructed relative sea level curve for the Rio Grande do↗ Enlarge
Figure 2
Reconstructed relative sea level curve for the Rio Grande do

Reconstructed relative sea level curve for the Rio Grande do

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

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