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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Assessment of permafrost degradation and thermokarst lake expansion in the Yakutsk Region

Duc PhamLan HoangTuan Bui

Volume 7(9) · Pages 228–231 · DOI: 10.22271/27067483.2025.v7.i9c.649 ↗

Research areasClimate change and permafrostPolar Research and EcologyIndigenous Studies and Ecology

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Abstract

Author-written

Permafrost covers roughly 65% of Russia's territory, and few places feel the consequences of its thawing more acutely than the Yakutsk region of eastern Siberia, where mean annual air temperatures have risen by 2.4 degrees C since the 1960s. This research assessed permafrost degradation and thermokarst lake dynamics across a 48,000 square km area surrounding Yakutsk using Landsat time-series imagery (1985-2022) and ground-temperature borehole records. A total of 847 thermokarst lakes were mapped from the 2022 Landsat 8 OLI mosaic and tracked backward through six decadal composites. Lake area expanded by a cumulative 23.7% between 1985 and 2022, with the fastest growth (8.1% per decade) occurring after 2000. Small lakes (<0.1 sq km) accounted for 54.2% of the lake population but only 11.4% of total surface area, while 4.3% of lakes exceeding 10 sq km held 41.8% of the aggregate water surface. Borehole data from 14 stations showed that active-layer thickness increased from a mean of 1.42 m in 1990 to 2.17 m in 2022, a 53% deepening. A positive correlation existed between mean annual air temperature and lake expansion rate (R-squared = 0.87), confirming that warming is the primary driver. The combined lake area gain of 117 sq km released an estimated 3.8 Tg of methane to the atmosphere over the 37-year record, a feedback that complicates climate projections for the boreal zone. These findings stress the need for continuous monitoring of permafrost landscapes to anticipate infrastructure risks and refine carbon-cycle models.

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

    • Permafrost covers about 65% of Russia, with the Yakutsk region in eastern Siberia experiencing significant thawing due to a 2.4°C rise in mean annual air temperatures since the 1960s. View evidence ↗

      Why it matters

      Permafrost covers about 65% of Russia, with the Yakutsk region in eastern Siberia experiencing significant thawing due to a 2.4°C rise in mean annual air temperatures since the 1960s.

      In the paper's own words

      “Permafrost covers roughly 65% of Russia's territory, and few places feel the consequences of its thawing more acutely than the Yakutsk region of eastern Siberia, where mean annual air temperatures have risen by 2.4 degrees C since the 1960s.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Thermokarst lakes are created when ice-rich permafrost thaws and the ground subsides; these lakes then create a positive feedback loop that further warms underlying sediment and expands the lake basin. View evidence ↗

      Why it matters

      Thermokarst lakes are created when ice-rich permafrost thaws and the ground subsides; these lakes then create a positive feedback loop that further warms underlying sediment and expands the lake basin.

      In the paper's own words

      “Thermokarst lakes form when ice-rich permafrost thaws, causing the ground surface to subside and fill with meltwater and precipitation [3]. Once initiated, a positive feedback loop accelerates the process: the lake's thermal mass warms the underlying sediment, deepening the thaw bulb and expanding the basin laterally.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The vast area of thermokarst lakes in Siberia, which exceeds the size of Germany, contributes to climate change by releasing methane through diffusion and ebullition. View evidence ↗

      Why it matters

      The vast area of thermokarst lakes in Siberia, which exceeds the size of Germany, contributes to climate change by releasing methane through diffusion and ebullition.

      In the paper's own words

      “In Siberia, thermokarst lakes collectively cover an area larger than Germany, and their expansion is releasing methane both through ebullition from lake sediments and through diffusion across the water surface [4].”

      Page 1

      Found in: Introduction

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

    • The study aimed to map thermokarst lakes over 48,000 sq km near Yakutsk (1985–2022), quantify their expansion relative to temperature trends, and estimate resulting methane emissions. View evidence ↗

      The question

      The study aimed to map thermokarst lakes over 48,000 sq km near Yakutsk (1985–2022), quantify their expansion relative to temperature trends, and estimate resulting methane emissions.

      In the paper's own words

      “This research aimed to (a) map the thermokarst lake population across a 48,000 sq km area around Yakutsk from 1985 to 2022, (b) quantify expansion rates and link them to temperature trends, and (c) estimate the associated methane release using published emission factors [8].”

      Page 1

      Found in: Introduction

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

    • Researchers used Landsat time-series imagery from 1985 to 2022 and ground-temperature borehole records to assess a 48,000 sq km area. View evidence ↗

      What they did

      Researchers used Landsat time-series imagery from 1985 to 2022 and ground-temperature borehole records to assess a 48,000 sq km area.

      In the paper's own words

      “This research assessed permafrost degradation and thermokarst lake dynamics across a 48,000 square km area surrounding Yakutsk using Landsat time-series imagery (1985-2022) and ground-temperature borehole records.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • Ground-temperature data were collected from 14 monitoring stations between 1990 and 2022 at depths ranging from 0.5 to 10.0 meters. View evidence ↗

      What they did

      Ground-temperature data were collected from 14 monitoring stations between 1990 and 2022 at depths ranging from 0.5 to 10.0 meters.

      In the paper's own words

      “Borehole ground-temperature data from 14 monitoring stations operated by the Melnikov Permafrost Institute, Yakutsk, were compiled for the period 1990-2022, with measurements at 0.5, 1.0, 2.0, 5.0, and 10.0 m depths [10].”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Lakes were identified using the Normalised Difference Water Index (NDWI > 0.3) and morphological filtering for a minimum area of 0.01 sq km, with manual edits to exclude rivers and reservoirs. View evidence ↗

      What they did

      Lakes were identified using the Normalised Difference Water Index (NDWI > 0.3) and morphological filtering for a minimum area of 0.01 sq km, with manual edits to exclude rivers and reservoirs.

      In the paper's own words

      “Thermokarst lakes were delineated from Landsat composites using the Normalised Difference Water Index (NDWI > 0.3) followed by morphological filtering (minimum area 0.01 sq km) and manual editing to remove river channels and artificial reservoirs.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Methane emissions were calculated by applying a mean annual emission factor of 32.4 g CH4/m²/yr to the cumulative new lake area. View evidence ↗

      What they did

      Methane emissions were calculated by applying a mean annual emission factor of 32.4 g CH4/m²/yr to the cumulative new lake area.

      In the paper's own words

      “Methane emission was estimated by multiplying the cumulative new lake area by a mean annual emission factor of 32.4 g CH4/m2/yr derived from eddy covariance measurements at Central Yakutian thermokarst lakes [11, 12].”

      Page 2

      Found in: Methods

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

    • Between 1985 and 2022, the total lake area grew by 23.7%, with the most rapid growth rate of 8.1% per decade occurring after the year 2000. View evidence ↗

      What they found

      Between 1985 and 2022, the total lake area grew by 23.7%, with the most rapid growth rate of 8.1% per decade occurring after the year 2000.

      In the paper's own words

      “Lake area expanded by a cumulative 23.7% between 1985 and 2022, with the fastest growth (8.1% per decade) occurring after 2000.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • The lake population is skewed: small lakes (<0.1 sq km) make up 54.2% of the count but only 11.4% of the area, whereas large lakes (>10 sq km) comprise only 4.3% of the count but 41.8% of the total area. View evidence ↗

      What they found

      The lake population is skewed: small lakes (<0.1 sq km) make up 54.2% of the count but only 11.4% of the area, whereas large lakes (>10 sq km) comprise only 4.3% of the count but 41.8% of the total area.

      In the paper's own words

      “Small lakes (<0.1 sq km) accounted for 54.2% of the lake population but only 11.4% of total surface area, while 4.3% of lakes exceeding 10 sq km held 41.8% of the aggregate water surface.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The active-layer thickness deepened by 53%, increasing from a mean of 1.42 m in 1990 to 2.17 m in 2022. View evidence ↗

      What they found

      The active-layer thickness deepened by 53%, increasing from a mean of 1.42 m in 1990 to 2.17 m in 2022.

      In the paper's own words

      “Borehole data from 14 stations showed that active-layer thickness increased from a mean of 1.42 m in 1990 to 2.17 m in 2022, a 53% deepening.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • There is a strong nonlinear positive correlation (R-squared = 0.87) between mean annual air temperature (MAAT) and lake expansion, with the fastest growth (12-18% per decade) in areas warmer than -7°C. View evidence ↗

      What they found

      There is a strong nonlinear positive correlation (R-squared = 0.87) between mean annual air temperature (MAAT) and lake expansion, with the fastest growth (12-18% per decade) in areas warmer than -7°C.

      In the paper's own words

      “Figure 1 shows a nonlinear positive relationship between MAAT and expansion rate (R-squared = 0.87). Grid cells with MAAT warmer than minus 7 degrees C exhibited the fastest expansion (12-18% per decade), while colder cells (below minus 10 degrees C) expanded at less than 5% per decade.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • Analysis indicates a temperature threshold near -8°C, beyond which lake expansion accelerates. View evidence ↗

      What they found

      Analysis indicates a temperature threshold near -8°C, beyond which lake expansion accelerates.

      In the paper's own words

      “The polynomial fit suggests an acceleration threshold near minus 8 degrees C.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The 117 sq km increase in lake area resulted in an estimated release of 3.8 Tg of methane over 37 years, creating a climate feedback loop. View evidence ↗

      What they found

      The 117 sq km increase in lake area resulted in an estimated release of 3.8 Tg of methane over 37 years, creating a climate feedback loop.

      In the paper's own words

      “The combined lake area gain of 117 sq km released an estimated 3.8 Tg of methane to the atmosphere over the 37-year record, a feedback that complicates climate projections for the boreal zone.”

      Page 1

      Found in: Introduction

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

    • The authors conclude that climate warming is the primary driver of lake expansion, specifically noting a nonlinear acceleration threshold at -8°C MAAT. View evidence ↗

      What it means

      The authors conclude that climate warming is the primary driver of lake expansion, specifically noting a nonlinear acceleration threshold at -8°C MAAT.

      In the paper's own words

      “The strong correlation between temperature and expansion rate (R-squared = 0.87) confirms that climate warming is the dominant driver, with a nonlinear acceleration threshold near minus 8 degrees C MAAT.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors recommend continued monitoring via satellites and boreholes, along with high-resolution remote sensing, to predict impacts on infrastructure and the carbon cycle. View evidence ↗

      What it means

      The authors recommend continued monitoring via satellites and boreholes, along with high-resolution remote sensing, to predict impacts on infrastructure and the carbon cycle.

      In the paper's own words

      “Continued satellite and borehole monitoring, supplemented by high-resolution remote sensing, is essential for anticipating the cascading impacts of permafrost thaw on infrastructure, hydrology, and the global carbon cycle.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors state that future research should use InSAR and drone surveys to detect early-stage thermokarst formation that is too small for Landsat to identify. View evidence ↗

      What it means

      The authors state that future research should use InSAR and drone surveys to detect early-stage thermokarst formation that is too small for Landsat to identify.

      In the paper's own words

      “Future work should integrate InSAR-derived subsidence maps and high-resolution drone surveys to capture early-stage thermokarst formation that falls below the Landsat detection threshold [18, 19, 20, 21].”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

4 visuals

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

AI-generated illustration
AI-generated conceptual illustration (permafrost soil and thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.↗ Enlarge
Thermokarst Lake Formation Cycle
AI-generated conceptual illustration (permafrost soil and thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.

AI-generated conceptual illustration (permafrost soil and thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.

Open full-size image ↗

Thermokarst Lake Formation Cycle

AI-generated conceptual illustration (permafrost soil and thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.

View source evidence ↗
AI-generated illustration
AI-generated conceptual illustration (Permafrost landscape with thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.↗ Enlarge
Temperature Threshold for Lake Expansion
AI-generated conceptual illustration (Permafrost landscape with thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.

AI-generated conceptual illustration (Permafrost landscape with thermokarst lakes in the Yakutsk Region). It explains the idea and does not show study data.

Open full-size image ↗

Temperature Threshold for Lake Expansion

AI-generated conceptual illustration (Permafrost landscape with thermokarst lakes in the Yakutsk Region). 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
Total area (km2): 1985 vs 1990 vs 1999 vs 2005 vs 2010
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 ↗

Total area (km2): 1985 vs 1990 vs 1999 vs 2005 vs 2010

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 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
ALT (m): 1985 vs 1990 vs 1999 vs 2005 vs 2010
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 ↗

ALT (m): 1985 vs 1990 vs 1999 vs 2005 vs 2010

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
Thermokarst lake area change and active-layer thickness across study periodTable 1Page 2Relationship between mean annual air temperature and thermokarst lake expansion rate across 20 grid cells in the study area (coloursFigure 1Page 2Size-class distribution of 847 thermokarst lakes mapped inFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

As temperatures rise across the Arctic at roughly twice the global average, permafrost, ground that has remained frozen for at least two consecutive years, is losing its grip on the vast carbon stores locked within it [1] . The Yakutsk region of the Sakha Republic sits at the heart of the continuous permafrost zone, where ground temperatures historically stayed below minus 2 degrees C even at shallow depths. But monitoring stations now record ground temperatures approaching 0 degrees C at 10-15 m depth in an increasing number of boreholes, signalling a trajectory toward widespread thaw [2] . Thermokarst lakes form when ice-rich permafrost thaws, causing the ground surface to subside and fill with meltwater and precipitation [3] . Once initiated, a positive feedback loop accelerates the process: the lake's thermal mass warms the underlying sediment, deepening the thaw bulb and expanding the basin laterally. In Siberia, thermokarst lakes collectively cover an area larger than Germany, and their expansion is releasing methane both through ebullition from lake sediments and through diffusion across the water surface [4] . Satellite-based monitoring offers the most practical means of tracking thermokarst dynamics over large areas. Landsat's 30 m resolution and 40-year archive make it well suited for detecting changes in lake perimeter and area [5] . Several researchers have documented lake expansion in western Siberia and Alaska, but the Central Yakutian Lowland, where ice-rich yedoma deposits make the landscape particularly vulnerable, has received comparatively less attention in the English-language literature [6,7] . This research aimed to (a) map the thermokarst lake population across a 48,000 sq km area around Yakutsk from 1985 to 2022, (b) quantify expansion rates and link them to temperature trends, and (c) estimate the associated methane release using published emission factors [8] .

Climatic and Environmental Conditions

The research area (61.5-63.5 degrees N, 128.0-132.0 degrees E) occupies the Central Yakutian Lowland, a flat to gently undulating terrain at 80-220 m elevation underlain by continuous permafrost with thicknesses of 200-500 m. Mean annual air temperature (MAAT) at Yakutsk station averaged minus 10.2 degrees C over 1961-1990 but had risen to minus 7.8 degrees C over 2011-2020 [2] . January minima reach minus 45 degrees C and July maxima exceed plus 30 degrees C, yielding an extreme continental range of 75 degrees C. Annual precipitation is low (240 mm), mostly falling as rain in summer. The surficial geology comprises Pleistocene yedoma (ice-rich silty loam with massive ice wedges), Holocene alluvial deposits along the Lena River floodplain, and thermokarst basin fills (alas deposits). Boreal larch forest (Larix cajanderi) dominates, giving way to grassland steppe on south-facing slopes and drained alas floors [9] . The analytical work was carried out at the Department of Geophysics, Da Nang Institute of Climate and Environment, Da Nang, Vietnam, from June 2022 to May 2023.

Material and Methods

Material and Methods

Material

Landsat imagery (Collection 2 Level 2 surface reflectance) was obtained from the USGS Earth Explorer for seven target years: 1985, 1990, 1999, 2005, 2010, 2015, and 2022. For each year, cloud-free summer composites (July-August) were created from 8-12 scenes covering the study area. Borehole ground-temperature data from 14 monitoring stations operated by the Melnikov Permafrost Institute, Yakutsk, were compiled for the period 1990-2022, with measurements at 0.5, 1.0, 2.0, 5.0, and 10.0 m depths [10] . MAAT records from the Yakutsk weather station (WMO 24959) provided the climate context.

Methods

Thermokarst lakes were delineated from Landsat composites using the Normalised Difference Water Index (NDWI > 0.3) followed by morphological filtering (minimum area 0.01 sq km) and manual editing to remove river channels and artificial reservoirs. Change detection compared lake polygons across the seven time steps, and expansion rates were computed as percentage area change per decade. Active-layer thickness (ALT) was estimated from borehole temperature profiles as the maximum depth at which ground temperature reached 0 degrees C during summer. Linear and polynomial regressions between MAAT and lake expansion rate were fitted in R 4.2. Methane emission was estimated by multiplying the cumulative new lake area by a mean annual emission factor of 32.4 g CH4/m2/yr derived from eddy covariance measurements at Central Yakutian thermokarst lakes [11,12] .

Results

Results

Discussion

The 23.7% cumulative expansion documented here is consistent with findings from western Siberia, where Smith et al. [13] reported a 12% increase in lake area between 1973 and 1997 in the discontinuous permafrost zone. The faster rate at Yakutsk likely reflects the extremely ice-rich yedoma substrate, which collapses more dramatically upon thawing than the mineral-dominated soils of western Siberia [6] . The apparent acceleration after 2000 coincides with the welldocumented Arctic amplification of global warming, which pushed Central Yakutian temperatures above the long-term norm by 1.5-2.0 degrees C [14] .

The estimated methane release of 3.8 Tg over 37 years, equivalent to roughly 0.1 Tg per year, is a modest but nontrivial contribution. For context, total annual methane emissions from northern permafrost-region lakes are estimated at 6-16 Tg/yr globally [15] . The Yakutsk region's share may seem small, but if expansion continues at the projected 8-10% per decade, cumulative emissions could double by 2060. And this estimate excludes methane released from drained or partially drained thermokarst basins, which emit CO2 from exposed peat soils [16] . The threshold behaviour visible in Figure 1 has practical implications. As regional MAAT crosses minus 8 degrees C, which it did around 2005 at Yakutsk station, lake expansion accelerates nonlinearly. Infrastructure planners, including road and pipeline engineers, should treat this temperature as a trigger for enhanced monitoring and precautionary ground-stabilisation measures [17] . Future work should integrate InSAR-derived subsidence maps and high-resolution drone surveys to capture early-stage thermokarst formation that falls below the Landsat detection threshold [18,19,20,21] .

Figure 1. Relationship between mean annual air temperature and thermokarst lake expansion rate across 20 grid cells in the study area (colours
Relationship between mean annual air temperature and thermokarst lake expansion rate across 20 grid cells in the study area (colours↗ Enlarge
Figure 1
Relationship between mean annual air temperature and thermokarst lake expansion rate across 20 grid cells in the study area (colours

Relationship between mean annual air temperature and thermokarst lake expansion rate across 20 grid cells in the study area (colours

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

Conclusion

This research quantified permafrost degradation and thermokarst lake expansion in the Yakutsk region of eastern Siberia using a 37-year Landsat archive and borehole temperature records. Lake area grew by 23.7% (117 sq km) between 1985 and 2022, with expansion rates accelerating after 2000 in tandem with rising air and ground temperatures. Active-layer thickness increased by 53%, from 1.42 to 2.17 m. The strong correlation between temperature and expansion rate (R-squared = 0.87) confirms that climate warming is the dominant driver, with a nonlinear acceleration threshold near minus 8 degrees C MAAT. The associated methane emission of 3.8 Tg represents a meaningful positive feedback that should be incorporated into regional carbon budgets. Continued satellite and borehole monitoring, supplemented by highresolution remote sensing, is essential for anticipating the cascading impacts of permafrost thaw on infrastructure, hydrology, and the global carbon cycle.

Acknowledgement

Acknowledgements Funding SourcesThis research was supported by internal funding from the Da Nang Institute of Climate and Environment. Institutional SupportThe Department of Geophysics provided computing resources for satellite image processing and time-series analysis. Contributions Not Qualifying for AuthorshipThe authors thank colleagues at the Melnikov Permafrost Institute, Yakutsk, for sharing borehole temperature data.

Figures and tables from the paper

Table 1. Thermokarst lake area change and active-layer thickness across study period
YearLake countTotal area (km2)Change (%)Rate (%/dec)MAAT (C)ALT (m)CH4 (Tg)
1985793494——-10.11.42—
1990801502+1.63.2-9.81.480.26
1999814521+5.54.3-9.21.610.88
2005826548+10.97.2-8.71.781.75
2010834567+14.87.8-8.31.892.37
2015841589+19.28.8-8.02.013.08
2022847611+23.78.1-7.82.173.79

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

View original table image
Thermokarst lake area change and active-layer thickness across study period↗ Enlarge
Table 1
Thermokarst lake area change and active-layer thickness across study period

Thermokarst lake area change and active-layer thickness across study period

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 2. Size-class distribution of 847 thermokarst lakes mapped in
Size-class distribution of 847 thermokarst lakes mapped in↗ Enlarge
Figure 2
Size-class distribution of 847 thermokarst lakes mapped in

Size-class distribution of 847 thermokarst lakes mapped in

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

21 in the original paper
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