Abstract
The rapid retreat of mountain glaciers due to climate change has led to the expansion of glacial lakes, which can produce sudden glacial lake outburst floods (GLOFs) due to the failure of unstable moraine or glacier dams, in some cases triggering a cascade of consequences. This study investigates the evolution of glacial lakes and the occurrence of GLOFs in the Cordillera Darwin and Cloue Icefields of Tierra del Fuego, southernmost South America, from 1945 to 2024 — a region that has not been analysed in detail before. Using historical aerial imagery, satellite data, UAV photogrammetry and field surveys, we document a 461% increase in the number of lakes (from 33 to 185) and a 124% increase in lake area (from 28.2 ± 5.6 to 63.3 ± 1.9 km2) as a result of glacier retreat. A pronounced shift from ice-dammed (71.6%–14.8% of the total area) to moraine-dammed lakes (80.5% by 2024) reflects the destabilisation of the ice margins and the exposure of overdeepened basins. We identified the first recorded southernmost GLOFs in this region, including a moraine collapse in 1997/98 that released ∼8.3 ± 1.2 × 106 m3 of water and a larger, adjacent cascading event in 2018 that released 28.3 × 106 m3 of water through successive moraine dam breaches. The cyclic outflows of the ice-dammed Lago Mateo Martinic (1985–2024) underline the dynamic interactions between ice and water. The results are consistent with global patterns of accelerated lake formation and growth over the last century, and with the diverse and complex processes at GLOFs that make Tierra del Fuego an important natural laboratory for studying the deglacierising environment. This study improves the understanding of glacial lake dynamics in the little-studied southern latitudes and emphasises the accelerated transformation of Andean cryospheric landscapes as warming progresses.
1 Introduction
The global retreat of mountain glaciers and icefields in response to climate change has dramatically increased both the size and number of glacial lake systems, a trend observed in all mountain regions worldwide (Shugar et al., 2020; Zhang G et al., 2024). This decline has intensified since the end of the Little Ice Age (LIA; Roe et al., 2017; Zemp et al., 2015), with much of the accelerated retreat and mass loss in recent decades due to rising air temperatures and changing precipitation patterns (Kargel et al., 2014; Marzeion et al., 2014; Zemp et al., 2019; ; ; Zemp et al., 2025).
Glacial lakes have become prominent features of many deglacierising environments and are of great global and regional importance for several reasons: (1) they serve as a valuable water resource, with their current and future storage capacity playing a key role in regulating the contribution of ice melt to global sea level rise (Loriaux and Casassa, 2013; ; Wilson et al., 2018; Zhang et al., 2023); (2) their interaction with glaciers can negatively affect their mass balance by increasing melt rates and destabilising ice margins (; King et al., 2019; Sugiyama et al., 2019; Minowa et al., 2021; Langhamer et al., 2024); and (3) they pose a significant hazard as a source of glacial lake outburst floods (GLOFs), which are among the most destructive glacial hazards and can cause widespread damage and disaster (Reynolds, 1992; ; ; Taylor et al., 2023). As described in Westoby et al. (2014), GLOFs are complex, often unpredictable phenomena, with each event influenced by a number of factors, including triggering mechanisms (hydrometeorological, geomorphological, etc.), reservoir bathymetry, geometry, composition and structural integrity of the dam (either a moraine, glacier ice, bedrock or a combination of these). In addition, the topography and geology of the surrounding region play a critical role in promoting glacial lake development and shaping flood behaviour and impacts (; ; ).
Glacial lakes can cause sudden floods (GLOFs) resulting from the failure of an unstable dam, triggering hazard cascades with numerous downstream impacts (Veh et al., 2023). They are typically classified based on their dam type and geomorphologic context (; Tweed and Carrivick, 2015; Zhang T. et al., 2024), and how their characteristics might influence any potential GLOF, the likelihood of recurrent GLOF events and their long-term areal change (Rick et al., 2022; Veh et al., 2022). Moraine-dammed lakes, which often form behind unconsolidated debris left behind by retreating glaciers, are prone to instability due to their porous and weak structure (Richardson and Reynolds, 2000; ). Similarly, landslide-dammed lakes also present an unconsolidated structure of poorly sorted, often angular material (Korup and Tweed, 2007). In contrast, ice-dammed lakes are formed by meltwater accumulating at the edges of the glacier ice and are prone to draining when thresholds are met related to ice thickness change, lake bathymetry, subglacial water pressure and thermal conditions (Liestøl, 1956; Walder and Costa, 1996; Tweed and Russell, 1999; ). Other types of glacial lakes, such as bedrock-dammed lakes may have greater stability but are not immune to failure under certain geomorphologic and climatic conditions (Richardson and Reynolds, 2000; ; ).
Advances in remote sensing technology and geographic information systems (GIS) have enabled significant progress in understanding the factors that influence the formation and extent of glacial lakes (Quincey et al., 2005, 2007; ). Satellite data and GIS analyses allow accurate monitoring of glacier changes, lake evolution and the occurrence of GLOFs (Veh et al., 2022; Zhang G. et al., 2024). In particular, these tools (supported by high-resolution aerial imagery) have proven valuable to assess their triggering mechanisms and quantify the associated hazards at local (; Wilson et al., 2019), regional (; ) and global scales (Taylor et al., 2023).
In South America, studies have documented accelerated glacier retreat in the Andean Cordillera since the end of the LIA (e.g., ), and significant mass loss in recent decades (e.g., ; ). These changes in glacier mass balance and dynamics from the central Andes to southern Patagonia are accompanied by the formation and expansion of glacial lakes, as the number and areal extent of glacial lakes in this region increased by about 7% and 43% respectively, between 1986 and 2016 (Wilson et al., 2018). The “Chilean Public Inventory of Glacial Lakes” identifies ∼5,400 glacial lakes across the country, with the largest concentration in the southernmost glaciological macrozone (Zona Austral), which includes southern Patagonia and Tierra del Fuego (). Although GLOFs have been recorded in many regions of Patagonia, including the Northern and Southern Patagonia Icefields, detailed studies of their triggers and threshold conditions remain limited; they have highlighted the importance of local topography, climate variability and dam stability in the occurrence and magnitude of GLOF events (; ; Wilson et al., 2019; ).
In the southernmost Andes, the Tierra del Fuego archipelago has undergone similar changes as observed elsewhere in Patagonia. The outlet glaciers of the Cordillera Darwin and the Cloue Icefields, for example, have retreated rapidly since 1986, shrinking by around 14% in area between the LIA and 2016 (; Meier et al., 2018). This retreat has led to the expansion of glacial lakes (Shugar et al., 2020), but no study to date has investigated in detail how this retreat has affected the evolution of glacial lakes or whether new GLOFs have occurred in this region. These glacial lakes and GLOFs do not present hazards to any human settlements or infrastructure, as this domain is entirely unsettled. In contrast to other regions in the Andes, the studied region therefore offers a particularly interesting natural laboratory for investigating the evolution of glacial lakes and GLOFs in a study region that remains remarkably free from local human disturbances. Unlike heavily monitored glacial environments, where artificial drainage, hazard mitigation or proximity to infrastructure direct research priorities towards hazardous lakes, the isolation of Tierra del Fuego ensures that all lakes (regardless of their outburst potential) are equally scrutinised. In addition, the low hydraulic gradient of the archipelago, with many lakes perched near sea level, limits the erosive power and geomorphic impact of GLOFs compared to high relief mountainous regions. Documenting this remote region not only extends the geographic range of GLOF inventories (Lützow et al., 2023), but also contributes to emerging research on the interaction between glacial drainage and coastal landscapes during deglacierisation, complementing recent work in Patagonian-Fuegian fjord systems (; Vandekerkhove et al., 2021; Piret et al., 2022), with a focus on the characteristic low-lying, maritime environment of Tierra del Fuego.
This study has three objectives: (1) to analyse the evolution of glacial lakes in the Cordillera Darwin and Cloue Icefields since 1945, (2) to document recent GLOFs and their characteristics in the Tierra del Fuego archipelago, and (3) to explore possible GLOF drainage mechanisms, placing these results in the broader context of GLOF occurrence in the southernmost Andes. By achieving these objectives, this study aims to improve the understanding of GLOFs in this understudied region and contribute to the broader discourse on the variable growth and expansion of glacial lakes in the context of ongoing climate-induced glacier retreat.
2 Study region
The Cordillera Darwin Icefield (CDI) is located near the southernmost reaches of the Andes in Tierra del Fuego and is the third largest temperate icefield in the Southern Hemisphere (Figure 1; ; Melkonian et al., 2013; Temme et al., 2025). The CDI (54°39′S, 69°36′W) is bounded by the Canal Beagle to the south and the Fiordo Almirantazgo to the north, with the highest peak, Monte Shipton, at 2,568 m above sea level (asl). The CDI covered an area of approximately 1,656 km2 in 2022 (Izagirre et al., 2024), and is characterised by a complex network of gently sloping high-plateaus from which land-terminating and calving outlet glaciers flow into the fjords and lakes (; Porter and Santana, 2003). Around the icefield, there are smaller ice masses to the west, including the Monte Sarmiento massif and the Cordón Navarro range (totalling 179 km2 in 2016; Meier et al., 2018; ), as well as many other smaller glaciers in the eastern lower mountain ranges.
FIGURE 1
The Cordillera Darwin is a geologically unique structural high point, as the mountain range is on average 1 km higher than neighbouring areas (
Isla Hoste, located southeast of the CDI and separated by the SW arm of the Canal Beagle, is the second largest island in the Tierra del Fuego archipelago. It is characterised by a rugged topography with numerous fjords and inlets. The island’s climate is also strongly influenced by southerly westerly winds, resulting in high and relatively uniform annual precipitation (up to 2,000 mm yr−1 in the westernmost areas) and persistent cloud cover that decreases towards the east (
Human presence in the region is limited to sparse coastal settlements, mainly Ushuaia, Argentina (∼80,000 inhabitants) 40 km east of the CDI, and Puerto Williams, Chile (∼2,500 inhabitants) 85 km to the east. The Cordillera Darwin and Cloue Icefields are still uninhabited wilderness areas with permanent infrastructure only on the eastern edges of the CDI (e.g., Bahía Yendegaia). While the Canal Beagle serves as a shipping line for scientific, tourist and military vessels, the most significant anthropogenic impact on the ecosystem comes from the North American beaver (Castor canadensis), which was introduced in the 1946 (Skewes et al., 2006;
3 Data and methods
Our first objective is to produce inventories of glacial lakes covering this broad region from the 1940’s to the present day. Since the Cordillera Darwin and Cloue Icefields extend over a wide area with frequent cloud cover, there are scarce remote sensing data covering the entire area during this period. Therefore, a compilation of different sources was needed to conduct this study. Table 1 lists the sources of aerial and satellite data used for the glacial lake inventories in 1945, 1986, 2006, 2019 and 2024. The intermediate observation years 1986 and 2006 are similar to those used by Meier et al. (2018) for the glacier inventory in this region.
TABLE 1
| Inventory | Image acquisition years | Instrument and sensor | Bands used | Number of images | Sourcea |
|---|---|---|---|---|---|
| 1945 | 1945 | Trimetrogon aerial photographs (oblique and vertical) | Singleband (greyscale) | 245 | USAF |
| 1986 | 1985 | Landsat-5 (MSS) | 1, 2, 3 and 4 | 2 | USAF |
| 1986 | Landsat-5 (TM) | 1, 2, 3, 4 and 5 | 1 | ||
| 2006 | 2006 | Landsat-5 (TM) | 1, 2, 3, 4 and 5 | 4 | USGS |
| 2007 | Landsat-5 (TM) | 1, 2, 3, 4 and 5 | 2 | ||
| 2019 | 2018 | Sentinel-2 (MSI) | 2, 3, 4, 8 and 11 | 2 | ESA |
| 2019 | Sentinel-2 (MSI) | 2, 3, 4, 8 and 11 | 6 | ||
| 2020 | Sentinel-2 (MSI) | 2, 3, 4, 8 and 11 | 3 | ||
| 2024 | 2024 | Sentinel-2 (MSI) | 2, 3, 4, 8 and 11 | 5 | ESA |
| PlanetScope (PSB.SD) | 2, 4, 6 and 8 | 11 | Planet Labs PCB |
List of remote sensing aerial and satellite data used to compile the glacial lake inventories of 1945, 1986, 2006, 2019 and 2024. The actual image data for each satellite-based inventory differed by ± 1 year from its target year (1986, 2006, 2019 and 2024). However, most of the lakes included in each inventory were mapped using imagery acquired in the specified target years.
USAF, United States Air Force; USGS, United States Geological Survey; ESA, European Space Agency.
3.1 Historical aerial photographs and Lliboutry’s sketch map
The oldest available data set for this region are the Trimetrogon aerial photographs acquired by the U.S. Army Air Force (USAF) in the austral summer of 1944/45 (Figures 2a,b). The aerial survey, conducted in January and February of 1945, represents the first comprehensive airborne coverage of the CDI and Cloue Icefield and provides a valuable basis for assessing glacial and geomorphologic change over the past eight decades (Lliboutry, 1998). The survey was strategically carried out in mid-summer to ensure optimal conditions for snow and ice melt, which in most areas allows glacial lakes to be clearly distinguished from ice and land areas. However, the spatial resolution of the USAF Trimetrogon photographs is limited by the variable image quality, incomplete coverage of some areas, the flight line spacing and the oblique view of the left- and right-looking acquisitions, even resulting in gaps in some places that make it difficult to distinguish these features. In addition, the 1:250,000 scale preliminary maps produced by the Instituto Geográfico Militar (IGM) of Chile based on these photographs often lack precise delineations of glacial and hydrological features, further complicating their interpretation (Lopez et al., 2010).
FIGURE 2

Methodology for reconstructing the evolution of glacial lakes in the study region using the Roncagli/Alemania glacier (Glaciar Roncagli in the figure) as an example. (a) Historical cartography by Lliboutry (1956) showing the extent of the glaciers and an early glacial lake configuration in 1945 (labelled), also confirmed by geomorphologic landforms such as the former lake shorelines mapped by Izagirre et al. (2024). The dashed polygon (in yellow) marks a mountain area using the same symbolism as a glacial lake. (b) Interpretation of oblique and vertical aerial photographs acquired during the USAF Trimetrogon campaign in early 1945. The use of these photographs together with the previous map is crucial to distinguish the real glacial lakes in 1945 from other rugged mountain landscapes (yellow dashed polygon). (c) Visible green band (2) of the Landsat-5 TM image from 26 February 1986. Lago Taranaki is already drained, while Lago Mateo Martinic (LMM) and the proglacial terminal lake continue to expand. (d) False colour composite of the Landsat-5 TM image acquired on 8 October 2006. (e) Ratio composite (R = BGreen/BNIR) of the Sentinel-2 MSI image from 4 February 2019. (f) Final reconstruction with the integration of the false colour composite of the PlanetScope image acquired on 4 March 2024, showing glacier retreat and glacial lake extent and change over eight decades.
The original USAF Trimetrogon photographs, from 1944/45, served as the basis for the sketch maps published by Louis Lliboutry in his seminal work “Nieves y Glaciares de Chile” (Lliboutry, 1956). One of these maps covers the entire CDI and its surroundings and provides a detailed representation of the extent of the glaciers and the location of the glacial lakes as they existed in 1945, providing an important historical reference for the study of glacier dynamics in the region. For this purpose, Lliboutry’s sketch map was georeferenced with 132 off-glacier tie-points manually identified on high-resolution “ESRI Imagery” available via “QuickMapServices” in the QGIS software (v3.40.5-Bratislava). In the case of the two icefields and considering that the Cloue Icefield was not included in Lliboutry’s sketch map, the preliminary location and extent of the glacial lakes identified with the sketch map were manually improved by (1) using the individual USAF Trimetrogon photographs (Table 1) and (2) using the previously mapped geomorphologic landforms (former lake shorelines from Izagirre et al., 2024).
It should be noted that Lliboutry’s work remains a cornerstone in the glaciological literature of the Southern Andes, as it not only documents the state of the CDI and surrounding mountain ranges in the mid 20th century, but also establishes a methodological framework for the integration of aerial photography into glaciological studies. Despite its historical significance, the map’s utility is reduced by the limitations of the original photographic data. Nevertheless, these early datasets are invaluable for reconstructing the long-term evolution of glaciers and glacial lakes, especially when combined with modern remote sensing technologies and field observations (Rivera et al., 1997;
3.2 Satellite imagery
To create the glacial lake inventories for the observation years 1986, 2006, 2019 and 2024, we used a combination of Landsat-5, Sentinel-2 and PlanetScope satellite imagery (Table 1; Supplementary Table S1). All Landsat-5 MSS and TM scenes with a multispectral spatial resolution of 30 m were orthorectified by the United States Geological Survey (USGS) and obtained as Level 1 Products through the USGS Earth Explorer interface (https://earthexplorer.usgs.gov/).
For the 2019 inventory, we analysed nine Sentinel-2 MSI scenes with a multispectral spatial resolution of 10 m. The Sentinel-2 MSI scenes were orthorectified by the European Space Agency (ESA) and downloaded as Level-1C Products from the Copernicus Browser interface (https://browser.dataspace.copernicus.eu/). The 2024 inventory was derived from five Sentinel-2 MSI scenes, complemented by 11 high-resolution PlanetScope scenes (∼3 m multispectral spatial resolution) from 4 March 2024 (Planet Team, 2024).
All satellite scenes were carefully selected based on minimal cloud cover and a late summer acquisition date to ensure optimal conditions for distinguishing surface boundaries such as ice/snow, glacier/rock, glacier/lake and lake/floating ice. However, due to challenges such as snow cover, cloud obstruction and mountain shadows, in some target years (e.g., 1986, 2006 and 2019) scenes from a ±1 year period had to be included to ensure adequate image availability and quality. This approach allowed us to maintain consistency in the identification and mapping of glacial lakes across the study period.
3.3 Glacial lake definition and delineation
The first step in establishing our glacial lake inventory was to define which lakes should be included. Given that the study region was extensively covered by the Patagonian Ice Sheet during the last glacial cycle, many lakes in the area could be classified as glacial in origin (
We classified glacial lakes into three main types based on their formation mechanisms: (1) moraine-dammed lakes, which form adjacent to glacier termini and are impounded by frontal or terminal moraines; (2) ice-dammed lakes, which are impounded by glacier ice, often in tributary valleys or marginal depressions on the side of the glacier; and (3) bedrock-dammed lakes, which occupy overdeepenings and depressions in bedrock. These classifications help to understand the geomorphic processes driving lake formation and their potential for future changes. In addition, we categorised the lakes according to their area size to facilitate the analysis of size-dependent behaviours. Small lakes are defined as lakes with an area of less than 0.5 km2 and large lakes with an area of 0.5 km2 or more. This classification corresponds to the thresholds used in comparable studies in Patagonia (e.g., Loriaux and Casassa, 2013) and effectively captures the different behaviours observed in the study region.
Glacial lakes were delineated using a combination of semi-automatic and manual mapping techniques. The semi-automatic approach employed the normalized difference water index (NDWI) and a ratio-based method (R) proposed by
Manual refinement of the semi-automated classifications was essential to ensure accuracy, particularly in complex areas such as shadowed margins, calving fronts and regions with mixed ice-water boundaries. This labour-intensive process involved visually inspecting and correcting lake boundaries using false-colour composites of satellite imagery (Figures 2c–f; Supplementary Table S1). This step also ensured that turbid lakes with high suspended sediment loads—which reduce spectral contrast and can be misclassified using ratio-based methods—were correctly identified and included in the inventory. Manual refinement significantly improved the quality of the lake polygons, ensuring consistency and high accuracy in the final inventory (Wilson et al., 2018).
Mapping errors and uncertainties were inherent in our approach, particularly for earlier observation years (1945, 1986 and 2006) due to the coarser spatial resolution of the available image data (e.g., Landsat-5 MSS and TM in 1986 and 2006) and the exclusively manual delineation in 1945. In this respect, small lakes were probably underrepresented in the early inventories (1945 and 1986) as the coarser resolution of the images possibly increased the apparent growth rates. Errors were also influenced by factors such as cloud cover, snow cover and mountain shadows, which can obscure lake boundaries and thus lead to minor biases (
3.4 GLOF identification and field observations
In this study, we hypothesised that changes in glacial lakes between 1945 and 2024 could reveal previously undocumented drainage events in the Cordillera Darwin and Cloue Icefields. We classify these events into two categories based on hydrological and terrestrial geomorphological evidence: (1) Outflows, defined as usually rapid discharges of water from ice-dammed lakes that often leave stranded icebergs but have limited distal impact due to buffering by downstream water bodies (lakes or sea) and may occur in cyclic events; (2) Outbursts (or GLOFs), characterised by single or cascading, sudden high-magnitude water releases that produce clear geomorphological signatures beyond the lake basin, including breached moraines and downstream sediment deposits.
Cyclic events such as those at Lago Mateo Martinic are poorly documented in existing studies (
Field data collection included site reconnaissance, photo-documentation and validation of remote sensing interpretations to constrain the timing and magnitude of GLOF events. This process included an extension of satellite image coverage to identify annual variations (Supplementary Table S1) and detailed geomorphologic mapping of diagnostic GLOF features, such as breached moraines, flood channels and sedimentary deposits, as described by Izagirre et al. (2024). In addition, we collected first-hand accounts from local sailors and residents of Puerto Williams that gave us valuable insights into the dynamics of GLOFs, particularly the events of 1997/98 and 2018 in the inner part of the Fiordo Fouque. These interviews helped reconstruct the sequence of events and assess the geomorphological changes associated with GLOFs.
In March 2016, we visited the area of Lago Covadonga in the inner part of Fiordo Fouque to document the landscape changes caused by the GLOF event in 1997/98. Using a Nikon Coolpix AW100 (16 Mp), we acquired 356 overlapping photos along survey circuits around the terminal moraine and the breached section. These images were processed using structure-from-motion (SfM) techniques in Agisoft Metashape Professional (v2.2.0) to create an initial 3D point cloud model. As the camera’s geotags provided only limited positional accuracy, the 3D model was subsequently georeferenced using 50 virtual ground control points (GCPs) from high-resolution satellite imagery, supplemented by handheld Garmin etrex30 GPS waypoints (±5 m elevation precision) collected along the lake shoreline and moraine ridge. From the georeferenced 3D point cloud, we derived a DEM that formed the basis for estimating lake level and volume change. While no independent GCP set was available for formal accuracy validation, the use of a large number of virtual GCPs, in combination with on-sited GPS waypoints and cross-comparisons of the lake shoreline with foliage patterns clearly visible in 2016, helped to minimise horizontal and vertical uncertainties. Using this reconstruction, we estimated the lowering of the lake level and the area change after the GLOF event and finally calculated the released water volume using a first-order approximation based on the mean area multiplied by the elevation change.
In order to document the geomorphological changes caused by the 2018 GLOF event in the inner part of Fiordo Fouque, we carried out an unmanned aerial vehicle (UAV) survey with a DJI Mavic 2 Pro in August 2024. The high-resolution aerial images were processed with SfM in Agisoft Metashape to create an initial 3D model covering an area of 1.33 km2. Since there were no differential GNSS camera positions during our survey, we took special measures to correct lens distortions and minimise model warping. We created 11 synthetic GCPs along the shoreline of both the current and former areas of the lower lake (Lake 2). These synthetic GCPs—defined as points with x-y-z coordinates extracted from the initial 3D model—helped to compensate for elevation differences of several metres observed along the shoreline due to geolocation inaccuracies and imperfect lens distortion corrections. In the final 3D model, we constrained these GCPs to zero elevation (all are shoreline points) and set their positional uncertainties to 15 m (x, y) and 0.1 m (z) to prevent error propagation into the lens distortion parameters. The conservative horizontal value reflects the maximum expected drift of the UAV’s non-differential GNSS receiver, while the vertical threshold accounts for both pixel-level selection errors (≤0.1 m at 0.05 m resolution) and our use of instantaneous sea level as a zero-elevation reference.
This approach successfully generated flat water surfaces and reduced shoreline elevation differences to centimetre accuracy, with lens distortion residuals equal to or less than 1 pixel. Using the optimised model, we generated an orthomosaic with a resolution of 0.05 m and a DEM with a resolution of 0.20 m, allowing accurate quantification of geomorphological changes and key parameters, such as breach dimensions and the released water volume. For the comparison of pre- and post-GLOF, we manually digitised the lake boundaries using the UAV-generated orthomosaic (0.05 m, 15 August 2024) and WorldView-2 satellite imagery (0.50 m, 21 November 2013), identifying former shorelines based on vegetation patterns and bedrock colour changes. Elevation differences were calculated using the Copernicus DEM GLO-30 as a baseline, with estimates of released water volume derived from the mean area multiplied by the elevation change as a first-order approximation.
4 Results
4.1 Inventory of glacial lakes in 2024
The inventory of glacial lakes in 2024 for the Cordillera Darwin and Cloue Icefields and their surrounding regions shows a total of 185 glacial lakes with a total area of 63.3 ± 1.9 km2 and a mean lake area of 0.34 km2 (Figure 1b; Table 2). The majority (81.5%) of the lakes mapped in 2024 are small lakes (<0.5 km2; 151 lakes totalling an area of 16.5 km2), but large lakes (≥0.5 km2; 34 lakes totalling an area of 46.8 km2) contribute disproportionately to the total area (74%).
TABLE 2
| Subregion | Lake type | Number (% of total) | Total area [km2] (% of total) | Mean area [km2] |
|---|---|---|---|---|
| CDI | Bedrock-dammed | 15 (18.1) | 2.0 (5.2) | 0.13 |
| Ice-dammed | 10 (12.0) | 8.8 (23.5) | 0.88 | |
| Moraine-dammed | 58 (69.9) | 26.7 (71.2) | 0.46 | |
| Total/mean | 83 (100) | 37.4 (100) | 0.45 | |
| Monte Sarmiento | Ice-dammed | 1 (12.5) | 0.03 (0.4) | 0.03 |
| Moraine-dammed | 7 (87.5) | 6.8 (99.6) | 0.97 | |
| Total/mean | 8 (100) | 6.8 (100) | 0.85 | |
| Cordón Navarro | Ice-dammed | 2 (20.0) | 0.2 (5.1) | 0.11 |
| Moraine-dammed | 8 (80.0) | 4.0 (94.9) | 0.50 | |
| Total/mean | 10 (100) | 4.2 (100) | 0.42 | |
| Peripheral areas | Bedrock-dammed | 12 (17.6) | 1.0 (9.9) | 0.08 |
| Ice-dammed | 1 (1.5) | 0.01 (0.1) | 0.01 | |
| Moraine-dammed | 55 (80.9) | 9.1 (90.1) | 0.17 | |
| Total/mean | 68 (100) | 10.1 (100) | 0.15 | |
| Cloue Icefield | Bedrock-dammed | 1 (6.3) | 0.02 (0.5) | 0.02 |
| Ice-dammed | 4 (25.0) | 0.3 (7.0) | 0.08 | |
| Moraine-dammed | 11 (68.8) | 4.4 (92.5) | 0.40 | |
| Total/mean | 16 (100) | 4.7 (100) | 0.31 | |
| Overall (study region) | Bedrock-dammed | 28 (15.1) | 3.0 (4.7) | 0.11 |
| Ice-dammed | 18 (9.7) | 9.4 (14.8) | 0.52 | |
| Moraine-dammed | 139 (75.1) | 50.9 (80.5) | 0.37 | |
| Total/mean | 185 (100) | 63.3 (100) | 0.34 |
Summary of the number, area and type of glacial lakes in the Cordillera Darwin and Cloue Icefields and their surrounding regions in 2024.
Accounting for 75.5% (139 lakes) of the total number and 80.5% (50.9 km2) of the total area, moraine-dammed lakes dominate the inventory. These lakes are concentrated in regions where glaciers retreated significantly after the LIA, particularly in the CDI, which contains 83 lakes (37.4 km2), many of which formed and expanded in overdeepened basins exposed by retreating outlet glaciers. The largest are the proglacial lakes of Stoppani and Pigafetta, which have an area of 3.6 km2 and 2.8 km2, respectively. Ice-dammed lakes are less numerous (9.8% of the total number, 18 lakes) but still account for 14.8% (9.4 km2) of the total area, especially in zones with active glacier dynamics such as the Roncagli/Alemania glacier in the CDI, where the largest ice-dammed lake (Lago Mateo Martinic) has an area of 6.5 km2. Bedrock-dammed lakes are less frequent (14.7% of the total number, 27 lakes) and account for 4.7% (3.0 km2) of the total area.
In spatial distribution, the CDI remains the epicentre of lake development. It is home to the largest lakes and accounts for 59.2% (37.4 km2) of the total glacial lake area (Figure 1c). The Cloue Icefield has 15 lakes (4.7 km2) and a mean area of 0.31 km2 (Figure 1d). In contrast, the Monte Sarmiento massif (6.8 km2) and the Cordón Navarro range (4.2 km2) are home to fewer but larger lakes with a mean area of 0.85 km2 (8 lakes) and 0.42 km2 (10 lakes), respectively. Peripheral lakes, located in recently deglacierised adjacent areas, are hotspots for small lake formation, with 68 lakes (10.1 km2), 85% of which are smaller than 0.5 km2 and have a mean lake area of 0.15 km2 (Figure 1c).
4.2 Changes in glacial lakes between 1945 and 2024
Between 1945 and 2024, the number and area of glacial lakes in the study region increased considerably. The total number of lakes increased by 461% from 33 to 185, while the total area of glacial lakes increased by 124% from 28.2 ± 5.6 km2 to 63.3 ± 1.9 km2 (Table 3; Supplementary Table S2). In the case of the large lakes, they increased by 162% in number (from 13 to 34), while their area increased by 87% from 25.0 ± 5.0 km2 to 46.8 ± 1.4 km2. This growth was not linear; there were various phases of lake area acceleration and deceleration. The fastest increase in lake number occurred between 1945 and 1986 (136% growth), followed by sustained growth until 2006 (65%) and 2019 (43%), which stabilized by 2024 (Figure 3a). In contrast, the largest expansion of total lake area occurred between 1986 and 2006 (54.6% growth, annual rate of 2.7% yr−1), followed by the 2019 to 2024 period (9.8% growth, annual rate of 2.0% yr−1).
TABLE 3
| Inventory | Study region | CDI | Monte sarmiento | Cordón Navarro | Peripheral areas | Cloue Icefield | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1945 | Number | 33 | 19 | 3 | 3 | 6 | 2 | ||||||
| Area (km2) | 28.2 | 23.5 | 0.4 | 1.2 | 2.8 | 0.3 | |||||||
| Mean area (km2) | 0.86 | 1.24 | 0.13 | 0.41 | 0.47 | 0.13 | |||||||
| 1986 | Number | 78 | 33 | 7 | 6 | 25 | 7 | ||||||
| Area (km2) | 30.5 | 19.4 | 3.1 | 2.2 | 4.7 | 1.2 | |||||||
| Mean area (km2) | 0.39 | 0.59 | 0.44 | 0.37 | 0.19 | 0.17 | |||||||
| 2006 | Number | 129 | 56 | 8 | 8 | 49 | 8 | ||||||
| Area (km2) | 47.2 | 27.0 | 5.5 | 3.6 | 4.0 | 4.2 | |||||||
| Mean area (km2) | 0.37 | 0.48 | 0.69 | 0.45 | 0.16 | 0.37 | |||||||
| 2019 | Number | 184 | 81 | 10 | 10 | 70 | 13 | ||||||
| Area (km2) | 57.6 | 33.6 | 6.7 | 4.0 | 9.5 | 3.9 | |||||||
| Mean area (km2) | 0.31 | 0.41 | 0.67 | 0.40 | 0.14 | 0.30 | |||||||
| 2024 | Number | 185 | 83 | 8 | 10 | 68 | 15 | ||||||
| Area (km2) | 63.3 | 37.4 | 6.8 | 4.2 | 10.1 | 4.7 | |||||||
| Mean area (km2) | 0.34 | 0.45 | 0.85 | 0.42 | 0.15 | 0.31 | |||||||
| Temporal Δ | Area Δ (%) | Rate (% yr−1) | Area Δ (%) | Rate (% yr−1) | Area Δ (%) | Rate (% yr−1) | Area Δ (%) | Rate (% yr−1) | Area Δ (%) | Rate (% yr−1) | Area Δ (%) | Rate (% yr−1) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1945–1986 | 8.1 | 0.2 | −17.4 | −0.4 | 675.0 | 16.5 | 83.3 | 2.0 | 67.9 | 1.7 | 300.0 | 7.3 | |
| 1986–2006 | 54.6 | 2.7 | 39.2 | 2.0 | 77.4 | 3.9 | 63.6 | 3.2 | 70.2 | 3.5 | 150.0 | 7.5 | |
| 2006–2019 | 22.1 | 1.7 | 24.4 | 1.9 | 21.8 | 1.7 | 11.1 | 0.9 | 18.8 | 1.4 | 30.0 | 2.3 | |
| 2019–2024 | 9.8 | 2.0 | 11.4 | 2.3 | 1.9 | 0.4 | 5.5 | 1.1 | 6.2 | 1.2 | 20.0 | 4.0 | |
| 1945–2024 | 124.2 | 1.6 | 59.3 | 0.8 | 1607.5 | 20.3 | 251.7 | 3.2 | 260.4 | 3.3 | 1460.0 | 18.5 | |
| 1986–2024 | 107.3 | 2.8 | 92.9 | 2.4 | 120.3 | 3.2 | 91.8 | 2.4 | 114.7 | 3.0 | 290.0 | 7.6 | |
Number and area of glacial lakes in the study region and in each subregion in 1945, 1986, 2006, 2019 and 2024. The change over time (Temporal Δ) for different periods is also included.
FIGURE 3

Temporal evolution of glacial lakes in the study region from 1945 to 2024. (a) Changes in the total number and area of glacial lakes, with the corresponding mean lake area. (b) Evolution of glacial lake area by dam type: moraine-dammed, ice-dammed and bedrock-dammed. (c) Spatial distribution of changes in lake area in different subregions: Cordillera Darwin Icefield (CDI), Monte Sarmiento massif, Cordón Navarro range, peripheral areas and Cloue Icefield. The bars represent the total lake area in the individual inventory years and the black crosses show the mean lake area for each subregion and year.
The dominance of ice-dammed lakes in 1945, which accounted for 71.6% (20.2 km2) of the total area, changed drastically during the study period (Figure 3b). In 1986, moraine-dammed lakes were already the predominant lake type accounting for 62.4% (19.1 km2) of the total area, compared to 26.9% (7.6 km2) in 1945. Ice-dammed lakes, on the other hand, declined sharply between 1945 and 1986, both in terms of area (from 71.6% to 35.6%) and number (from 36.4% to 3.8%). From 1986 to 2024, the difference between ice-dammed and moraine-dammed lakes widened, with the latter accounting for 80.5% (50.9 km2) of the total area in 2024, while the mean area of ice-dammed lakes decreased significantly, from 1.68 km2 in 1945 to 0.52 km2 in 2024. This transition again reflects the role of glacier retreat after the LIA, which exposed moraines that dammed up meltwater, while glacier thinning destabilized the ice dams. The proportion of bedrock-dammed lakes, while still small, steadily increased, tripling in both number (from 1 to 27) and area (from 0.4 km2 to 3.0 km2), indicating a gradual exposure of stable overdeepenings and depressions.
The mean lake area decreased from 0.86 km2 in 1945 to 0.39 km2 in 1986 and 0.34 km2 in 2024 (Figure 3a), mainly due to the disappearance of large ice-dammed lakes and the proliferation of small lakes, particularly in the adjacent areas of the Cordillera Darwin and Cloue Icefields. These peripheral lakes saw the largest relative increase in lake numbers, from 6 in 1945 to 49 in 2006 and 68 in 2024, but remained small after 1986, when the mean lake area decreased from 0.19 km2 to 0.15 km2, indicative of widespread newly emerging glacial lakes (Figure 3c).
The total area of glacial lakes in the CDI fluctuated from 1945 to 2006, decreasing by 17% from 1945 to 1986 and then increasing by 39% during the next observation period (1986–2006). Meanwhile, the emergence rate of new lakes increased from 0.3 yr−1 between 1945 and 1986 to 1.2 yr−1 between 1986 and 2006. From 2006 to 2024, the total area and number of glacial lakes increased further (1.2 yr−1 in number and 39% in area). These observed increases in number from 1945 to 2024 occurred despite a 64% reduction in the mean lake size (from 1.24 km2 to 0.45 km2), mainly due to the nearly complete disappearance of the large ice-dammed lakes observed in 1945. The total lake area of the CDI increased by 59% (from 23.5 km2 in 1945 to 37.4 km2 in 2024), reflecting the formation of smaller lakes in newly deglacierised terrain and small ice-dammed lakes at higher elevations after 2019, together with large moraine-dammed lakes that expanded at an accelerated rate after 2006 (Figure 3c). This applies to the proglacial lakes of the Videla, Pigafetta, Roncagli/Alemania and Stoppani glaciers.
The Cloue Icefield experienced a 15-fold increase in lake area (from 0.3 km2 in 1945 to 4.7 km2 in 2024), and the mean lake area also increased from 0.13 km2 to 0.31 km2, as the land-terminating glaciers transitioned into freshwater calving systems, which expanded considerably after 1986 (Figure 3c). The Monte Sarmiento massif experienced the fastest growth, with a 16-fold increase in lake area (from 0.4 km2 in 1945 to 6.8 km2 in 2024). Meanwhile, its mean lake area increased from 0.13 km2 to 0.85 km2 (Figure 3c), due to the expansion of large moraine-dammed lakes such as Schiaparelli, Emma, Conway and Lovisato. In contrast, the Cordón Navarro range showed a gradual but constant development of glacial lakes between 1945 and 2024. The number of lakes increased from 3 to 10, while the total lake area increased by 252% (from 1.2 km2 to 4.2 km2). The mean lake area remained relatively stable and varied between 0.37 km2 and 0.45 km2 (Figure 3c), indicating that the growth of the lakes was due to the formation of new basins of similar size rather than the enlargement of existing ones.
4.3 Recent southernmost GLOFs and cyclic outflows
Our analysis of multi-temporal aerial and satellite imagery, combined with field observations and local accounts, identified several previously undocumented outflow events and various GLOFs in the Cordillera Darwin and Cloue Icefields between 1986 and 2024 (Table 4). Some of these events, identified by lake extent changes in association with distinct geomorphic features such as breached moraines and extensive large-size (>1 m) boulder debris, represent the southernmost modern-day GLOFs recorded in South America.
TABLE 4
| Lake | Coordinates | Date | Dam type | Pre-GLOF area (km2) | Post-GLOF area (km2) | Area change (%) | Geomorphic impact | Validation sources |
|---|---|---|---|---|---|---|---|---|
| Lago Taranaki | −54.85, −69.41 | 1985/86 | Ice | 2.41 | 0 | −100.0 | Landscape changes (valley emerged and former lake shorelines) | Satellite (this study) and field data (Izagirre et al., 2024) |
| Lago Mateo Martinic | −54.83, −69.35 | 1997/98 | Ice | 9.01 | 5.06 | −43.8 | Landscape changes (lake level lowering and fragmentation) | Satellite and field data (this study) |
| 2002/03 | 8.68 | 5.49 | −36.8 | Satellite ( | ||||
| 2006 (Oct/Dec) | 10.44 | 5.20 | −50.2 | Satellite and field data (this study) | ||||
| 2010 (Apr/Oct) | 10.42 | 5.14 | −50.7 | Landscape changes (lake level lowering and fragmentation). Northern tributary separates permanently from the main lake body | Satellite (Iribarren-Anacona et al., 2015) and field data (this study) | |||
| 2013 (December 6–31) | 8.15 | 4.09 | −49.8 | Landscape changes (lake level lowering and fragmentation) | Satellite and field data (this study) | |||
| 2016 (Oct-Nov) | 8.00 | 4.73 | −40.9 | |||||
| 2018 (January 4–20) | 7.84 | 4.19 | −46.6 | |||||
| 2019 (June-July) | 8.12 | 3.74 | −53.9 | |||||
| 2020 (April 26–28) | 7.52 | 3.86 | −48.7 | |||||
| 2021 (August 21–26) | 7.56 | 3.86 | −48.9 | |||||
| 2022 (March/April) | 6.98 | 3.79 | −45.7 | |||||
| 2023 (April 12–26) | 7.02 | 3.77 | −46.3 | |||||
| 2024 (May/August) | 7.08 | 3.75 | −47.0 | |||||
| Lago marginal Este | −54.86, −69.31 | 2016/17 | Ice | 0.29 | 0.14 | −51.7 | Landscape changes (lake level lowering and diminishing) | Satellite and field data (this study) |
| 2019 (February 5–25) | 0.61 | 0.16 | −73.8 | |||||
| 2020 (February/March) | 0.59 | 0.11 | −81.4 | |||||
| 2020 (March/April) | 0.27 | 0.11 | −59.3 | |||||
| 2021 (February/March) | 0.55 | 0.10 | −81.8 | |||||
| 2022 (January/February) | 0.52 | 0.10 | −80.8 | |||||
| 2023 (January 22–28) | 0.52 | 0.10 | −80.8 | |||||
| 2024 (January-March) | 0.41 | 0.10 | −75.6 | |||||
| Lago Covadonga | −55.18, −69.59 | 1997/98 | Moraine | 0.35 | 0.14 | −60 | Geomorphological evidence and landscape changes | Satellite and field data (this study) |
| Lago Fouque 1 & 2 | −55.19, −69.58 | 2018 (November 4–10) | Moraine | 0.89 + 0.36 | 0.59 + 0.20 | −36.8 | Geomorphological evidence and landscape changes | Satellite and field data (this study) |
Inventory of previously documented and undocumented outflow events and glacial lake outburst floods (GLOFs) in the Cordillera Darwin and Cloue Icefields (1945–2024) derived from multi-temporal satellite imagery, field observations and local reports.
The Roncagli/Alemania glacier area in the southeastern part of the CDI provides multiple examples of ice-dammed lake drainage (Figure 2). Here, one of the earliest documented outflows occurred between 14 May 1985 and 26 February 1986 at Lago Taranaki (Supplementary Figure S1) — a large ice-dammed lake named by a New Zealander mountaineering expedition during the austral summer of 1970/71 (
Upstream of the Roncagli/Alemania glacier, the ice-dammed Lago Mateo Martinic (6.5 km2 in 2024) showed cyclic partial outflows between 1997 and 2024. Annual satellite observations revealed that the lake area repeatedly decreased by 40%–50% (from ∼10.5 km2 to ∼4.0 km2) after each ice dam failure. At the same time, the lake required a shorter period of time in recent years to refill to its maximum storage capacity and outflow again (Table 4). Since 2010, the northern tributary has been separated from the main lake basin. A smaller ice-dammed lake, Lago marginal Este (0.4 km2 in 2024), located on the opposite edge of the glacier, also showed repeated drainage events in the period 2016–2024 (Supplementary Figure S2).
At the southernmost edge of the study region, a first major GLOF was reconstructed based on interviews with sailors, who reported extensive driftwood at Fiordo Fouque, eastern edge of the Cloue Icefield, in March 1998. Satellite imagery and field observations at Lago Covadonga provide clear evidence of a large GLOF event that occurred between 5 March 1997 and 4 February 1998 (Figure 4). A comparison of coregistered aerial imagery (1996) and Landsat imagery (1997 and 1998) shows a 60% reduction in lake extent after the event (from 0.35 km2 to 0.14 km2), with a conspicuous breached dam on the terminal moraine visible on the 2002 Landsat-7 imagery. Field observations carried out in March 2016 confirmed the outburst path and showed a drop in lake level of about 34 m and an approximately 185 m wide breach through the terminal moraine. This GLOF released a total water volume of 8.3 ± 1.2 x 106 m3.
FIGURE 4

Evolution of Lago Covadonga and geomorphological evidence and landscape changes of a glacier lake outburst flood (GLOF) in the inner part of Fiordo Fouque, Cloue Icefield. (a) Time series of aerial and satellite images showing the transition of Lago Covadonga before and after the GLOF event. The coregistered aerial image from December 1996 (SAF Geotec 70) and the false-colour Landsat-5 images from 5 March 1997 and 4 February 1998 show the extent of the lake before and after the GLOF event (outlined in yellow and red, respectively). The false-colour Landsat-7 image of 7 February 2002 clearly highlights the breached dam on the terminal moraine (breached moraine) and the extent of the lake after the GLOF. The location of the ground photograph (P) acquired in the field is also indicated. (b) Ground photograph from 20 March 2016 looking across Lago Covadonga towards the terminal moraine. The lake level before and after the GLOF is marked and shows a deep excavation on the moraine, which allowed the lake level to drop by about 34 m and a horizontal break width of ∼185 m. This geomorphological evidence confirms the occurrence and extent of the GLOF event between 5 March 1997 and 4 February 1998.
The most recent event was noted by a sailboat entering the inner part of Fiordo Fouque in late March 2019. The crew onboard reported extensive wood debris floating in the sea and a large opening in the moraine that allowed passage into the previously moraine-dammed lake by a lifting-keel sailboat. Once inside, they observed that another lake, located at a higher elevation and connected to the previous one by a stream, also had a breached moraine. Subsequent satellite imagery analysis revealed that the event occurred sometime between 4 and 10 November 2018 (Figure 5), when the higher-elevation moraine-dammed lake (informally named Lake 1) catastrophically drained into the lower moraine-dammed lake (Lake 2), which then outburst into the fjord, carving a large breached dam through the impounding terminal moraine (Supplementary Figure S3). Field surveys in 2024, supported by UAV-derived photogrammetry, quantified the breached moraine dimensions (130 m wide, 30 m high) and estimated a lake level lowering of 30 m and 22 m for Lakes 1 and 2, respectively (Figure 6). These two connected GLOFs released a total water volume of 28.3 × 106 m3 (Table 5).
FIGURE 5

The 2018 glacial lake outburst flood (GLOF) event in the inner part of Fiordo Fouque, Cloue Icefield. (a) Ground photograph acquired on 21 March 2016 showing the three moraine-dammed lakes: Lake 1 (upper) and Lake 2 or Lago Lientur (lower), connected by a river system (blue dotted arrows) that flows into the fjord and Lago Covadonga (in the background) is also visible with its breached moraine from the 1997/98 event. (b) Sequence of satellite images (NIR-band) showing the evolution of the 2018 GLOF event. The outlines of Lake 1 and Lake 2 before the GLOF event (in yellow) are based on Sentinel-2 (3 November) and PlanetScope (4 November) imagery. The location of the ground photograph (P) acquired in the field is also indicated. A significant drainage event occurred between 4 and 10 November, which is barely visible on the Landsat-8 image (10 November). The reduction in lake area following the GLOF event (in red) is confirmed by PlanetScope and Sentinel-2 images from 12, 14 and 28 November. The event was characterised by the catastrophic drainage of Lake 1 into Lake 2, followed by a secondary outburst of Lake 2 into the Fiordo Fouque, which breached the terminal moraine and connected the former lake to the fjord system.
FIGURE 6

Geomorphic impacts and elevation changes due to the cascading GLOF event in November 2018 in the inner part of Fiordo Fouque, derived from UAV-based photogrammetry and DEM differencing. (a,b) Oblique UAV images from 15 August 2024 show the outlet areas of the former Lake 2 and Lake 1, respectively. The pre-GLOF lake level (in yellow) and the post-GLOF level (in red) of Lake 1 are shown, as both still had a clearly pronounced vegetation difference in 2024, which was slightly obscured by the snow cover. (c) Detailed map of the study site based on a Sentinel-2 satellite image from 4 March 2024 showing the UAV survey area (dashed line) and the synthetic ground control points (GCPs) used for georeferencing. The location of the previous aerial photographs (a/b) is also indicated. (d) Surface elevation change map (2010 CopDEM vs. 2024 UAV-derived DEM) showing ∼35 m erosion on both breached moraines and a 22 m drop in the water level of former Lake 2. (e) Longitudinal profile (x-x′) along the centre flow line of the breached moraines, showing the pre-GLOF (2010 CopDEM) and post-GLOF (2024 UAV-derived DEM) surfaces and the elevation differences. The cross-sections through the breached moraine dam areas of Lake 1 (1–1′) and former Lake 2 (2–2′) are also shown (right panels).
TABLE 5
| Lake | Area (km2) | Elevation change (m) | Volume change (106 m3) | ||
|---|---|---|---|---|---|
| Pre-GLOF | Post-GLOF | Mean | |||
| Lake 1 (upper) | 0.891 | 0.592 | 0.741 | 30 | 22.2 |
| Lake 2 (lower) | 0.359 | 0.195 | 0.277 | 22 | 6.1 |
| Total | 1.250 | 0.787 | 1.018 | 28.3 | |
Summary of lake area, elevation change and estimated change in water volume associated with the Fouque 2018 GLOF. The areas (km2) before (pre-GLOF) and after (post-GLOF) are given for the upper (Lake 1) and lower (Lake 2) lakes, along with the mean lake areas used to estimate volume change. The elevation change (m) corresponds to the measured surface elevation difference derived from digital elevation models. The volume change is given in millions of cubic metres (106 m3).
5 Discussion
5.1 Evolution of glacial lakes and their characteristics
The evolution of glacial lakes in the Cordillera Darwin and Cloue Icefields between 1945 and 2024 highlights a regional transformation driven by glacier retreat after the LIA, climate warming and topographic controls. The shift from ice-dammed to moraine-dammed lakes—evidenced by the decline of ice-dammed lake area from 71.6% (1945) to 14.8% (2024) of total area in this study—aligns with global patterns of glacial lake evolution (Shugar et al., 2020; Veh et al., 2025), which have been observed elsewhere in Patagonia (Loriaux and Casassa, 2013; Wilson et al., 2018), and in other regions such as Alaska (Wolfe et al., 2014; Rick et al., 2022, 2023), Iceland (Zhang T, et al., 2024) and High Mountain Asia (
The dominance of small lakes, constituting 81.5% of the 2024 inventory, highlights widespread glacier fragmentation and meltwater ponding in peripheral deglacierised terrain. However, large lakes disproportionately contributed to total area (74%), driven by the expansion of moraine-dammed lakes such as Stoppani (3.6 km2), Pigafetta (2.8 km2) and Roncagli/Alemania (2.4 km2) in the CDI, in the Monte Sarmiento massif, and in the Cloue Icefield. This contrast parallels findings in the Himalayas, where small lakes dominate numerically, but larger lakes control total water storage (
Regional heterogeneity in lake development reveals the influence of local topography and glacier dynamics. The CDI, hosting 59% of the total lake area in 2024, emerged as the hotspot of growth in the number and area of glacial lakes since 1986 (2.4% yr−1), driven by the retreat of large outlet glaciers into overdeepened valleys. A similar behaviour can be observed in the Cordón Navarro range (2.4% yr−1), where a gradual increase in lake area has occurred through the formation of lakes of similar size sized lakes rather than the enlargement of existing lakes (as the mean lake area remains stable from 0.37 km2 in 1986 to 0.42 km2 in 2024). In contrast, the number of glacial lakes in the Monte Sarmiento massif remained stable, but the area increased significantly (3.2% yr−1), resulting in a growth in mean lake area from 0.44 km2 in 1986 to 0.85 km2 in 2024. The Cloue Icefield doubled the number of glacial lakes and the area increased considerably (7.6% yr−1), mainly due to the appearance of large moraine-dammed lakes in the southern slope of the icefield.
Temporal trends emphasise the non-linear response of glacial lakes to climatic influences. The accelerated expansion of glacial lakes between 1986 and 2006 (2.7% yr−1) and 2019–2024 (2.0% yr−1) coincides with the increased warming and glacier mass loss in the Southern Andes region in the late 20th and early 21st centuries (
5.2 Drainage mechanisms of observed GLOFs and cyclic outflows
The documented GLOFs and cyclic outflows in the Cordillera Darwin and Cloue Icefields between 1985 and 2024 reveal different drainage mechanisms operating within the evolving deglacierising environment. The case studies highlight the interplay of dam stability thresholds, water pressure and erosion in initiating outflows and outburst floods, while emphasising the unique constraints imposed by the region’s low relief and coastal setting.
5.2.1 Cyclic ice-dammed outflows: Lago Mateo Martinic
The cyclical discharge dynamics at Lago Mateo Martinic show a clear transition from episodic (3–4 years) outflows (1997–2016) to almost annual outflows (2017–2024), which corresponds to the “jökulhlaup cycle” proposed by
The decisive factor is that the thinning of the ice dam triggers a positive feedback loop: reduced ice thickness and increased thermo-erosion along the subglacial conduits during each outflow event progressively weaken the integrity of the ice dam, and successive outflows further enlarge the drainage pathways (Walder and Costa, 1996;
Globally, such behaviour follows predictable patterns. Regional studies from Iceland to Alaska document cyclic outflow events associated with the degradation of the ice dams (Thorarinsson, 1939; Post and Mayo, 1971; Wolfe et al., 2014), while modern analyses show negative trends in magnitude and increasing drainage frequency for more than 1,500 ice-dammed lakes (Veh et al., 2023). This applies to specifically analysed ice-dammed lakes such as Summit Lake and Tulsequah Lake in British Columbia (Mathews and Clague, 1993;
5.2.2 Moraine-dammed GLOFs: Lago Covadonga and Fouque system
In the Fiordo Fouque lake system, catastrophic moraine failures show that the initial flooding or seepage may be driven by hydrostatic pressure, but the subsequent breaching process is dominated by hydrodynamic forces as high-velocity flow incises and rapidly enlarges the outlet channel (Richardson and Reynolds, 2000;
While the exact trigger for the initial failures in both cases remains uncertain, the steep valley walls surrounding both Lago Covadonga and upper Lake 1 are highly susceptible to landslides, rockfalls or ice avalanches that can generate displacement and seiche waves, resulting in dam overtopping and hydrodynamic erosion—consistent with global patterns where mass movements trigger most documented moraine dam failures (Richardson and Reynolds, 2000;
The 1997/98 Lago Covadonga GLOF exhibits striking similarities to other moraine-dammed single-lake failures worldwide. Particularly, the estimated water volume release of ∼8.3 × 106 m3 places it within the mid-range of Patagonian events like Engaño 1977, Ventisquero Negro 2009 and Chileno 2015 (
Furthermore, the cascading nature of the Fouque 2018 GLOF event—in which outburst of the upstream lake (Lake 1) catastrophically overloaded the downstream dam (Lake 2) — illustrates the compound processes and susceptibility of interconnected lakes to fail in a cascading process (Kirschbaum et al., 2019; Sharma et al., 2023;
5.2.3 Landscape context and geomorphological implications
The low coastal relief fundamentally limits the geomorphological impact of GLOFs in Tierra del Fuego. In contrast to events in high relief regions such as the Himalayas or the Andes, where steep gradients generate high-energy floods with widespread downstream impacts (Jacquet et al., 2017;
In addition, the largest (>2 km2) moraine-dammed lakes in the study region have naturally developed low-gradient outlet channels that are incised into the moraine dams (e.g., Lovisato, Pigafetta, Dalla Vedova, Roncagli/Alemania and Stoppani), thus maintaining a stable lake level and limiting the occurrence and magnitudes of GLOFs (Veh et al., 2025). In contrast, some large (1–2 km2) moraine-dammed lakes have an abrupt (short and steep) gradient between moraine dams and sea level and poorly developed outlet channels (e.g., Conway in the Monte Sarmiento massif, some lakes in the inner part of Fiordo Parry or the largest lake on the southern slope of Cordón Navarro range). Therefore, they could be considered as potential GLOF sites in the future, and if this occurs, local geomorphological and landscape changes with limited downstream sediment transport can be expected, as shown by the 22–34 m lake level drops and deep breached moraines at Lago Covadonga and the Fouque-cascade. Large boulders and woody debris from outbursts are usually deposited within fjord heads instead of being transported far downstream. This is in sharp contrast to high relief GLOFs, which can devastate valleys more than 100 km from the source (Richardson and Reynolds, 2000; Osti and Egashira, 2009; Veh et al., 2020; Taylor et al., 2023).
The documentation of these low-gradient coastal outflows and outbursts extends the environmental scope of GLOF studies beyond high-altitude continental mountains (Lützow et al., 2023). While recent work has investigated GLOF-related sedimentary and geomorphological impacts in Patagonian-Fuegian fjords (
6 Conclusion
The rapid retreat of glaciers in the Cordillera Darwin and Cloue Icefields of Tierra del Fuego over the last 8 decades has led to profound changes in the region’s glacial lake systems, with significant implications for landscape evolution. This study shows a substantial growth in the number and area of glacial lakes since 1945, with the total number of lakes increasing by 461% (from 33 to 185) and the total area by 124% (from 28.2 to 63.3 km2). This growth reflects the transition from ice-dammed lakes, which were predominant in the mid-20th century, to moraine-dammed systems, which now account for over 80% of the total lake area. The increase in small lakes highlights widespread glacier fragmentation, while large lakes, although smaller in number, dominate water storage and underline their hydrological importance in deglacierising environments.
The decisive factor for this change is the interplay of climatic warming, glacier retreat and topographic controls. The CDI became the epicentre of lake development (59% of the total lake area), which was driven by the retreat of the outlet glaciers into overdeepened valleys. The Monte Sarmiento massif experienced the most rapid growth (16-fold increase in area), while the Cloue Icefield transitioned to freshwater calving systems. The temporal acceleration of lake expansion (1986–2006 and 2019–2024) coincided with increased regional warming and glacier mass loss observed throughout Patagonia.
The study documents previously unrecorded GLOFs, including the Fouque 2018 event—the largest in the region—which released 28.3 × 106 m3 of water through cascading failure of two interconnected moraine-dammed lakes. The cyclic partial outflows of the ice-dammed Lago Mateo Martinic (1997–2024) illustrates the progressive destabilisation of its ice dam, which exhibits mass loss rates nearly six times greater than the glacier-wide average. In addition, historical reports of a 1997/98 GLOF in Fiordo Fouque highlights the region’s susceptibility to GLOFs. Although these events are not hazardous in this sparsely populated area, they highlight the susceptibility of ice dams to hydrostatic failure under prolonged meltwater input and the failure of moraine dams due to the increase in hydrodynamic pressure caused by mass movements. The trigger mechanisms, including prolonged warming episodes and cascading interactions between lakes, are consistent with global patterns, emphasizing the need for a holistic assessment of glacial lake systems.
By integrating historical aerial imagery, satellite data, UAV photogrammetry and field observations, this work contributes to a better understanding of glacial lake evolution in a remote, understudied region. This study highlights Tierra del Fuego archipelago an important natural laboratory for the study of climate-induced glacier retreat, lake formation and drainage dynamics. It extends the geographic scope of documented GLOFs to the southernmost Andes and provides insights into the complex interplay of geomorphologic, climatic and glacial processes that shape deglacierising environments. The results contribute to a global framework for understanding glacial hazards and emphasize the accelerating transformation of mountain regions in the wake of climate change.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics statement
Ethical approval was not required for the studies involving humans because the participants provided written informed consent to participate in this study. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
EI: Validation, Methodology, Investigation, Writing – review and editing, Formal Analysis, Data curation, Software, Writing – original draft, Conceptualization. GC: Validation, Investigation, Writing – review and editing. ID: Investigation, Writing – review and editing, Validation. EM: Data curation, Investigation, Writing – review and editing, Formal Analysis. RW: Writing – review and editing, Investigation, Validation. CR: Writing – review and editing, Investigation, Formal Analysis, Methodology, Data curation. SF: Funding acquisition, Project administration, Supervision, Conceptualization, Resources, Writing – review and editing. IA: Resources, Project administration, Funding acquisition, Supervision, Writing – review and editing, Conceptualization.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the University of the Basque Country UPV/EHU under grant PIF17/182 and the Basque Government under consolidated research groups IT-1029-16 and IT1678-22, and by the Spanish Government through MDM-2017-0714 and CEX2021-001201-M, funded by MCIN/AEI/10.13039/501100011033. The fieldwork campaign in 2016 was partly funded by the National Geographic Society (#EC0757-15), the Royal Geographical Society (Geographical Field Grant), the British Mountaineering Council (Expeditions Grant) and the Council of Azpeitia (Joxe Takolo Grant) in the Basque Country.
Acknowledgments
The authors would like to thank the Corporación Nacional Forestal (CONAF) for permission to conduct research in the Alberto de Agostini National Park. Special thanks to the Universidad de Magallanes, Cruceros Australis Expedition Cruises, Lindblad Expeditions, Northanger and Kotik sailboats and the Uncharted project for their logistical support. We thank Planet Labs Inc. for providing free access to high-resolution Planet imagery as part of their license for the Education and Research Program. EI and EM would like to thank Keri-Lee Pashuk for her valuable advice on the Fouque 1997/98 GLOF and Keri, Ibai Rico and Caesar Schinas for their support during the 2016 expedition. EI would like to thank Denis Chevallay and Igor Belly for their valuable advice on the Fouque 2018 GLOF and their continued logistical support in Puerto Williams. Finally, the authors would also like to thank Daniel Falaschi and two reviewers for their detailed reviews, which contributed significantly in refining the final manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The handling editor DF declared a past co-authorship with the author ID.
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feart.2025.1641167/full#supplementary-material
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Summary
Keywords
glacial lakes, GLOF, Cordillera Darwin Icefield, Tierra del Fuego, Patagonia
Citation
Izagirre E, Casassa G, Dussaillant I, Miles ES, Wilson R, Rada C, Faria SH and Antiguedad I (2025) Evolution of glacial lakes and southernmost GLOFs in the Cordillera Darwin and Cloue Icefields (Tierra del Fuego) between 1945–2024. Front. Earth Sci. 13:1641167. doi: 10.3389/feart.2025.1641167
Received
04 June 2025
Accepted
28 August 2025
Published
17 September 2025
Volume
13 - 2025
Edited by
Daniel Falaschi, CONICET Argentine Institute of Nivology, Glaciology and Environmental Sciences (IANIGLA), Argentina
Reviewed by
Adam Emmer, University of Graz, Austria
Mariana Correas-Gonzalez, CONICET Argentine Institute of Nivology, Glaciology and Environmental Sciences (IANIGLA), Argentina
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© 2025 Izagirre, Casassa, Dussaillant, Miles, Wilson, Rada, Faria and Antiguedad.
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*Correspondence: Eñaut Izagirre, enaut.izagirre@ehu.eus
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