in

Iceberg-driven constraints on colony–foraging connectivity result in severe decline in chick counts for the Coulman Island emperor penguin colony


Abstract

Emperor penguin populations are vulnerable not only to regional sea-ice variability but also to localized physical disturbances that affect access to breeding colonies. Here we document an approximate 69% decline in springtime chick counts at Coulman Island in 2025, based on integrated multi-satellite analyses and field surveys. These declines were driven by an iceberg calved from the Nansen Ice Shelf that became grounded in late July along a narrow coastal margin, coinciding with the transition into the chick-rearing period and obstructing the colony’s primary access corridor. Three-dimensional reconstruction of the iceberg reveals pronounced morphological asymmetry that likely constrained movement pathways: gentler ocean-facing slopes may have facilitated ascent, while the colony-facing margin formed a sub-vertical escarpment exceeding 20 m, potentially increasing travel distance and delaying access to the colony. A residual passage of approximately 1 km persisted along the eastern margin but was spatially limited and likely difficult to locate. Field observations and high-resolution imagery indicate evidence consistent with elevated chick mortality during the early rearing stage. These findings suggest a mechanism in which iceberg morphology and local coastal configuration jointly result in a substantial reduction in functional accessibility between the colony and foraging areas.

Introduction

The Earth system is undergoing rapid change driven by anthropogenic forcing, with mounting evidence that these changes are intensifying environmental pressures on polar ecosystems1,2,3. In Antarctica, recent decades have been marked by documented atmospheric warming4, declines in sea-ice extent and thickness5,6, and an increased frequency of extreme weather events7. Collectively, these environmental shifts are associated with changes in ecosystem structure and have been linked to variation in survival and reproductive performance across Antarctic species5,8,9,10,11. Among Antarctic marine predators, the emperor penguin (Aptenodytes forsteri) has been described as a sentinel species, reflecting broader changes within the Southern Ocean ecosystem12. Its life history is closely linked to the availability of stable sea ice, which supports key stages of its annual cycle, including breeding, incubation, chick rearing, and molting5,8,13,14,15,16. Consequently, alterations in sea-ice conditions may increase the risk of reduced breeding performance and could influence long-term population trajectories14,17,18,19,20,21. Given this ecological dependence, emperor penguins have become a focal species for investigating the biological consequences of sea-ice variability and ongoing environmental change in Antarctica.

Emperor penguins depend on stable landfast sea ice for breeding, and reproductive success may be compromised when sea ice forms late in the season or breaks up before chicks fledge8,11. Emperor penguins follow a highly seasonal breeding cycle, with egg laying in May–June, incubation through winter, hatching in July–August, and chick rearing through spring until fledging in December–January (Fig. 1a). Because the sea-ice zone supports key foraging activities for this species, reductions in sea ice may influence long-term population viability by constraining access to prey resources22. In addition to changes in sea-ice conditions, large iceberg calving events along parts of the Antarctic coastline have been associated with increased cryospheric variability23. Such physical disturbances can generate short-term, site-specific ecological impacts by obstructing access to breeding habitats or altering local environmental conditions that support reproductive success, including for apex predators such as emperor penguins.

Fig. 1: Life cycle of emperor penguin, study area, and environmental setting at Coulman Island.

Full size image

a Schematic representation of the typical annual cycle of emperor penguins, courtship, incubation, chick-rearing, and molt, adapted from Trathan et al. The grounding of the iceberg along the Coulman Island access corridor occurred in late July 2025 (red arrow), coinciding with the early chick-rearing period when regular adult return for feeding is critical for chick survival. b Bathymetry and geographic setting of the western Ross Sea derived from the General Bathymetric Chart of the Oceans (GEBCO) global bathymetric grid (https://www.gebco.net). c Optical imagery showing the fast-ice platform adjacent to Coulman Island and the locations of the grounded iceberg (orange) and the emperor penguin breeding colony (red). The right-hand Schematic shows the approximate dimensions of the iceberg (~13.9 km in length, ~4.0 km in width) and its estimated area (~42.7 km²). At the same time, the lower-right photograph provides a field view of the grounded iceberg adjacent to Coulman Island, illustrating its position along the coastal margin.

In the context of these cumulative pressures, emperor penguins were classified as Near Threatened on the IUCN Red List8,11,24, and have recently been evaluated as Endangered status25. In response, parties to the Antarctic Treaty System, including those operating under the Protocol on Environmental Protection and the Convention on the Conservation of Antarctic Marine Living Resources (CCAMLR), have discussed or implemented management measures intended to reduce additional stressors that may compound the effects of climate change on emperor penguin populations8,26.

Research on emperor penguins has traditionally relied on sea-ice metrics, including extent, formation timing, and stability, to explain breeding success and population variability5,14,17,21. These approaches have provided robust and quantitatively supported insights, suggesting that sea-ice conditions can explain a substantial portion of demographic variability. For example, previous studies have shown that models based on sea-ice and fast-ice conditions can account for approximately 40–50% of the variance in breeding success R² ≈ 0.4–0.5;27,28. Such frameworks are widely used not because sea ice is assumed to fully determine population dynamics, but because these variables are consistently observable and can be reasonably represented in Earth system models. Nevertheless, the remaining unexplained variability suggests that additional environmental processes, beyond large-scale sea-ice metrics alone, contribute to observed demographic patterns.

In recent decades, additional episodic habitat disturbances, not readily explained by sea-ice variability alone, have been documented. For example, the grounding of large icebergs near Cape Crozier and Beaufort Island disrupted access to foraging areas and coincided with substantial reductions in breeding success29. While iceberg calving and grounding are natural components of Antarctic dynamics, such events can, under specific spatial and temporal configurations, lead to short-term ecological impacts. The frequency of such cryospheric disturbances has been projected to increase in some regions under continued climate change30,31. A well-documented example occurred in 2001 near Cape Crozier in the Ross Sea, where the grounding of giant icebergs (B15A and C16) disrupted access to the colony and resulted in two consecutive years of complete breeding failure in the local emperor penguin population29. In subsequent years, chick productivity declined to 0–40% of pre-2000 levels, suggesting that iceberg presence was associated with persistent physical habitat modification beyond sea-ice stability alone and affected multiple stages of the breeding cycle14,29. Notably, the impacts of large icebergs on penguin habitats have also been documented outside the immediate breeding period. For example, the collision of a large iceberg with the Mertz Glacier Tongue led to substantial habitat reconfiguration when breeding birds were absent, with subsequent ecological consequences for nearby penguin colonies, including the potential relocation of colonies32.

Icebergs may obstruct access routes between breeding sites, foraging areas, and overwintering habitats. At Beaufort Island, for example, the arrival of large icebergs, including B15A and C16 in January 2001, led to the formation of an approximately 150 km barrier between the Ross Sea polynya and the island, blocking the primary access route to the colony. This barrier persisted for over two years, until late 2003, constraining access to both feeding and breeding areas and forcing penguins to undertake longer detours29,33. These conditions were associated with marked declines in breeding pair numbers, elevated chick mortality, and, in some cases, redistribution or relocation of individuals between colonies16,29. Collectively, these cases highlight that, while sea-ice conditions remain a primary driver of emperor penguin breeding success, colony-scale outcomes may also be influenced by additional physical disturbances acting in combination.

Coulman Island (73°28′ S, 169°45′ E), located along the North Victoria Land coast within the Ross Sea Marine Protected Area (CCAMLR Conservation Measure 91-05), has been reported as one of the largest emperor penguin colonies globally Fig. 1b;34. Its large colony size has been attributed to favorable regional oceanographic conditions, including high marine productivity and the persistence of stable landfast sea ice between Cape Jones and Coulman Island16,29,34,35. Chick abundance at this colony has been monitored since the 1980s, providing one of the longest available census records for any emperor penguin colony. Standardized aerial surveys have been conducted annually by the Korea Polar Research Institute (KOPRI) since 2017, using helicopter access from Jang Bogo Station (~220 km away). Owing to its size, multi-decadal monitoring record, and position within a designated marine protected area, the Coulman Island colony represents a valuable site for detecting and interpreting the ecological consequences of environmental disturbance in the Ross Sea.

We report on field surveys conducted in November and December 2025 in the vicinity of Coulman Island, which documented substantially lower chick counts than in recent breeding seasons. Reduced breeding success was associated with a large grounded iceberg north of the colony that constrained access to the breeding site. This reduction in accessibility coincided with low chick counts recorded during that season, indicating a temporal association between iceberg-induced obstruction and reduced chick productivity. This study is explicitly framed as an observational case study focused on a single breeding season and does not seek to establish definitive causality between iceberg grounding and reduced chick productivity. Our aim is to examine plausible mechanisms through which iceberg-driven disruptions to accessibility may affect emperor penguin breeding processes and to present observational evidence of the role that such access constraints may have played in the reduced chick productivity observed at Coulman Island. We therefore examine the role of iceberg grounding in constraining access to the colony and its potential influence on breeding outcomes, given that fast ice appeared largely intact during the survey period, as observed visually.

Results

Grounded Iceberg Configuration and Observed Breeding Conditions in November 2025

During the annual survey to census emperor penguin chicks at Coulman Island on 12 November 2025 (see Methods), a grounded iceberg was identified approximately 3–5 km north of the colony (Fig. 1c). The iceberg measured approximately 13.9 km in length and 4.0 km in width, with an estimated area of approximately 42.7 km². Its southern margin formed a steep ice cliff, reaching several tens of meters in height. The iceberg was positioned along a primary commuting route between the breeding site and offshore foraging areas extending northward and northeastward from the colony. Adult emperor penguins were observed congregating along the southern margin of the iceberg, where the steep ice cliff extended continuously (Supplementary Fig. 1). The eastern margin of the iceberg coincided with the fast-ice edge, forming a continuous boundary between the iceberg and the surrounding landfast ice during the survey period. Repeated satellite observations and in situ surveys indicated that the iceberg remained grounded at the same location throughout winter and into early spring. It began to move on 2 January 2026, drifting eastward offshore of Coulman Island and subsequently moving northward from 18 January (Supplementary Fig. 2).

Calving and drift–grounding chronology of the nansen ice shelf iceberg

The calving event and subsequent drift–grounding sequence of the iceberg toward the northern margin of Coulman Island were reconstructed through multi-sensor image analysis, integrating MODIS True Color imagery and Sentinel-1 synthetic aperture radar (SAR) time series. Back-tracking analysis shows that the iceberg originated from the Nansen Ice Shelf in Terra Nova Bay. A MODIS image from 12 March 2025 indicates that calving had occurred (Supplementary Fig. 3). Imagery acquired on 10 and 11 March 2025 shows a contiguous ice-shelf front with no visible evidence of structural separation (Supplementary Fig. 3a, b). However, a Sentinel-1 SAR image from 7 March (Fig. 2a) reveals a distinct fracture at the ice-shelf front, indicating that separation had already initiated before the MODIS observations. In the MODIS image from 12 March (Supplementary Fig. 3c), a dark-toned area at the shelf front is interpreted as open water, consistent with the iceberg having already separated from the ice shelf. The MODIS image from 13 March (Supplementary Fig. 3d) further shows the detached iceberg drifting away from the shelf. Post-calving movement of the iceberg was tracked through visual interpretation of a Sentinel-1 SAR time series (Fig. 2). Imagery from 7 March shows the pre-calving configuration, with the iceberg already partially fractured but still contiguous with the Nansen Ice Shelf front (Fig. 2a). Following detachment, the iceberg drifted northeastward, reaching waters near Cape Washington by 19 March (Fig. 2b). It then continued northward to within approximately 40 km south of Coulman Island (Fig. 2c), and by 16 June was observed in close proximity to the island’s southern coastline (Fig. 2d). The iceberg subsequently progressed northward along the island’s eastern flank (Fig. 2e). By 16 July, the iceberg was in contact with surrounding sea ice near Coulman Island (Fig. 2f) and began to rotate clockwise. The subsequent resumption of drift after the disappearance of surrounding sea ice in early January 2026 suggests a constraining effect of sea ice on iceberg motion, although a contribution from local bathymetry cannot be excluded. During this period, the iceberg rotated, with its sloping face oriented toward the south before pivoting north of Coulman Island. Continued rotation was accompanied by reduced translational motion (Fig. 2g), and by 28 July the iceberg appears to have become grounded adjacent to the island (Fig. 2h). The iceberg remained stationary through November 2025 (Fig. 2i). Following the loss of surrounding sea ice, it resumed drift on 2 January 2026, moving eastward offshore before turning northward later in January (Supplementary Fig. 2).

Fig. 2: SAR time series showing the drift and grounding of the iceberg north of Coulman Island.

Full size image

Sentinel-1 SAR images acquired on a 7 March, b 19 March, c 4 June, d 16 June, e 4 July, f 16 July, g 22 July, and h 28 July show the sequential movement of the iceberg from its initial position near the Drygalski Ice Tongue to its final grounding location north of Coulman Island. i The most recent image acquired on 13 November shows that the iceberg has remained in the same grounded position since 28 July.

Long-term Chick Census and the 2025 Decline at Coulman Island

Long-term Chick Census at the Coulman Island Colony. Very-high-resolution Maxar WorldView imagery indicates a marked difference in the overall presence and spatial expression of surface biological indicators (i.e., guano staining) at the breeding site between November 2024 and November 2025. In November 2024 (Supplementary Fig. 4a), guano staining was widespread across the landfast ice, whereas in imagery acquired on 6 November 2025 (Supplementary Fig. 4b), such indicators were largely absent at the same location. While interannual differences in guano distribution can arise from multiple factors, including surface conditions and penguin aggregation behavior, this comparison is interpreted cautiously.

To place these observations in a longer-term context, Fig. 3 presents a long-term census of emperor penguin chicks at Coulman Island spanning 1983 to 2025. The time series comprises data from 21 breeding seasons, integrating historical records reported by Barber-Meyer et al.36 and Kooyman and Ponganis34 with standardized aerial survey monitoring conducted since 2017 by the Korea Polar Research Institute (KOPRI) (see Methods). Across the full observation period, chick abundance at the Coulman Island colony shows substantial interannual variability.

Fig. 3: Long-term chick counts at the Coulman Island emperor penguin colony. Chick count records from 1983 to 2025 were compiled from three sources.
Full size image

The counts from Barber-Meyer et al. (2008) cover the period from 1983 to 2005, followed by the counts reported by Kooyman and Ponganis (2017) for 2005–2012, and recent observations conducted by KOPRI spanning 2017–25. Bars represent the total number of chicks counted in each surveyed year.

Among observations before 2000, the highest recorded chick count was 34,735 in 1992, followed by 27,920 in 1990 and 21,708 in 198336. The mean chick abundance between 1983 and 2000 was 24,667  ±  6622. Literature-based records from the period after 2000 and before the initiation of KOPRI surveys also show substantial variability. During this interval, chick counts were 25,244 in 2012 and 22,511 in 200834. The mean for the post-2000 pre-KOPRI period was 18,305  ±  5651, lower than the 1983–2000 mean, and included several years with low counts, such as 9305 in 2010 and 12,382 in 201134.

Since 2017, KOPRI has conducted aerial photograph–based surveys that have provided a standardized time series of chick counts at Coulman Island. Recorded values were 16,571 in 2017, 21,286 in 2018, 24,464 in 2019, 23,223 in 2021, 22,903 in 2022, 18,723 in 2023, and 21,242 in 2024, yielding a mean of 21,202  ±  2,745. In contrast, the 2025 count represents the lowest value recorded since 1983. During the November survey, 6081 chicks were counted, and a subsequent December survey identified additional small breeding sub-groups, increasing the final total to 6658 (see Methods). This corresponds to an approximate 69% reduction relative to both the KOPRI-era mean and the 2024 count. The magnitude of decline in 2025 exceeds that reported for 2010, when chick productivity was estimated at 56% of the 2006 minimum and 41% of the 2008 estimate16. The total number of adults counted in 2025 was 15,242, yielding a chick-to-adult ratio of approximately 0.44, slightly below the previously reported range (0.46–0.99) for the Coulman Island colony34.

Discussion

Restricted accessibility and its potential role in reduced chick productivity

We define this process as “restricted accessibility,” in which breeding and foraging habitats remain physically present, but functional connectivity between them is disrupted by transient physical barriers. The 2025 event at Coulman Island suggests that, even under relatively stable landfast sea-ice conditions, the grounding of a single large iceberg may substantially constrain access between breeding and foraging habitats and be associated with reduced chick productivity. Notably, the timing of iceberg immobilization (late July) coincided with the transition from incubation to early chick rearing (refer to Fig. 1a), a period recognized as particularly sensitive to changes in habitat accessibility and environmental conditions e.g.,5,8,19. During this period, successful parental coordination and food provisioning depend on continued access between the breeding site and adjacent marine habitat27,37. Food demand increases as chicks grow, and sustained provisioning is required throughout this period to ensure productivity. Disruption of this connectivity, therefore, represents a plausible mechanism linking altered accessibility to reduced chick productivity.

This interpretation is consistent with the observed timing and scale of reproductive loss in 2025. Following egg laying in May–June, males incubate eggs through June–July while females undertake extended foraging trips at sea (Fig. 1a). Given the timing of iceberg grounding in late July, incubation and hatching likely proceeded largely as normal. However, when females returned to relieve incubating males, iceberg-induced access constraints may have delayed or disrupted parental changeover. Likewise, males completing incubation may have experienced difficulty accessing viable routes to the sea, potentially compounding delays in coordinated foraging and return exchanges. Disruption of parental coordination during early chick rearing could reduce food delivery to newly hatched chicks, thereby increasing the risk of starvation20,38,39. During the initial field survey in November 2025, multiple chick carcasses were observed within the colony area (Supplementary Fig. 5), consistent with elevated early-stage mortality.

Iceberg morphology and access constraints

Beyond the mere presence of a grounded iceberg, its particular morphology appears to have influenced the degree to which access to the Coulman Island breeding site was constrained. Photogrammetry-based elevation analysis (see Methods) reveals marked asymmetry in iceberg geometry along its grounding axis (Fig. 4). In the western sector (transects T1–T2), the ocean-facing side forms a relatively gentle slope, whereas the colony-facing southern margin rises abruptly as a sub-vertical escarpment exceeding 20 m in height, effectively limiting direct access to the breeding site. In the eastern sector (transects T3–T4), steep ice faces are present on both the colony-facing southern side and the ocean-facing northern side, forming a more topographically confined configuration.

Fig. 4: Three-dimensional morphology and elevation profiles of the grounded iceberg at Coulman Island.

Full size image

a Regional topography derived from the Reference Elevation Model of Antarctica (REMA), overlaid with a high-resolution photogrammetric surface model of the grounded iceberg generated from aerial imagery (see Methods). The inset shows the iceberg surface colored by elevation, with the locations of four transects (T1–T4) used for profile extraction. b Elevation profiles along transects T1–T4, illustrating the strong morphological asymmetry of the iceberg. Elevations were calculated using the same geoid reference as REMA; therefore, the values do not represent absolute elevations and should be interpreted only in a relative sense.

Notably, a narrow passage of approximately 1 km intermittently persisted along the eastern margin between the iceberg and Coulman Island (see Fig. 1c). This corridor was not fully obstructed and may have allowed limited movement between the colony and offshore waters. However, accessing this passage likely required substantial lateral movement along the iceberg margin, increasing travel distance and time. Given the asymmetric slope configuration, individuals approaching along the gently sloping western face may have been directed toward the impassable southern escarpment, thereby increasing travel time before locating the ~1 km-wide eastern opening, as inferred from satellite imagery.

Even where access remained possible via the eastern corridor, the spatial configuration of the fast-ice edge suggests that commuting distances between the colony and open water were longer than in previous years, increasing from approximately 9.3 km in 2024 to 14.9 km in 2025 based on satellite-derived geometry (Fig. 5a). However, this represents a minimum estimate assuming direct access, and actual travel distances were likely substantially greater due to route-finding behavior. Although access was not entirely blocked, the combined configuration of the grounded iceberg and surrounding sea ice likely increased navigational complexity, potentially forcing individuals to follow indirect or suboptimal paths. Penguins rely on visual cues and learned spatial memory for navigation40,41, although the extent to which this applies under highly altered icescape conditions remains uncertain, and such cues may have been partially obscured or disrupted in this setting.

Fig. 5: Schematic of iceberg-induced obstruction and altered access pathways at the Coulman Island emperor penguin colony.

Full size image

a Sentinel-1 SAR imagery acquired on 21 August 2025 (WGS 1984 UTM Zone 59S) showing the spatial configuration of the fast-ice edge and inferred access routes. The blue line indicates the fast-ice edge in 2025, and the red line that of 2 August 2024. The colony is marked by a yellow circle, with concentric dashed circles indicating distances of 5, 10, and 15 km. The green solid line represents the estimated commuting route to open water in 2025, while the green dashed line indicates the equivalent route in 2024. b Conceptual illustration of how a grounded iceberg modified terrestrial access routes between the Coulman Island emperor penguin colony and the adjacent sea. c Oblique view of the ocean-facing flank of the iceberg, where it sloped gently, enabling access for the penguins. d The colony-facing flank, showing a ~ 21.7 m ice cliff that was impassable for the penguins.

Field observations documenting adult penguins remaining in prolonged stasis along the southern ice walls (Fig. 5b–d; Supplementary Fig. 1) are consistent with restricted, spatially heterogeneous access pathways at the time of observation. While rerouting through the eastern corridor cannot be excluded, the observed spatial concentration of individuals suggests that access constraints were non-uniform and likely imposed differential movement costs, particularly in terms of increased travel time and energetic expenditure, across the iceberg perimeter11,29.

Consequently, delays in locating or navigating limited-access corridors during early chick rearing could reduce provisioning frequency to newly hatched chicks42,43. Such topographically induced delays are particularly consequential during this period, when provisioning schedules are tightly constrained, and energetic margins are narrow. Following hatching, emperor penguin chicks can survive only for a limited period on esophageal secretions (penguin milk) provided by the incubating male44,45. Even modest increases in travel time may therefore translate into a disproportionate increase in chick mortality risk8,11.

Taken together, these results indicate that the impact of the grounded iceberg cannot be attributed to a single mechanism, but rather to the combined effects of increased commuting distance and navigation disruption. While access to open water was not entirely prevented, the asymmetric configuration and limited openings likely reduced the efficiency and predictability of movement between the colony and foraging areas. This interpretation highlights the importance of local geometric constraints in shaping ecological outcomes and provides a basis for comparison with previously documented iceberg-related disturbances.

Comparison with previous events and mechanisms

The 2025 reduction in breeding output at Coulman Island differs from previously documented declines at this colony and elsewhere16,34,36. Long-term monitoring has recorded substantial interannual variability in chick numbers, including declines of approximately 46% in 1993 and over 50% in 2010 Fig. 3;34,36. The 2010 event was accompanied by reduced adult attendance and interpreted as reflecting adult decisions to forego breeding, attributed to insufficient energetic reserves16. The rapid recovery of adult numbers by 2011 supports the view that this episode primarily reflected a temporary breeding suspension rather than large-scale mortality.

In contrast, the 2025 pattern suggests that many adults initiated breeding but experienced early-stage reproductive loss. Evidence includes continued adult presence at the colony alongside a relatively low chick-to-adult ratio (0.44). This pattern is more consistent with disrupted chick rearing than with pre-breeding abstention16, indicating an extrinsic physical cause rather than intrinsic life-history trade-offs.

A comparison with previously documented iceberg-related events further clarifies this mechanism29. At Cape Crozier, reduced output resulted from the destruction of fast-ice breeding habitat. At Beaufort Island, habitat remained intact, but access routes were obstructed, requiring extended detours that disrupted provisioning. The 2025 Coulman Island event most closely resembles the Beaufort Island mechanism, with one important difference: the semi-enclosed coastal geometry (see Fig. 1) likely restricted alternative access routes. Unlike multi-year iceberg systems such as B15-A and C16, which exerted prolonged and large-scale ecological impacts, the event described here was shorter-lived and spatially confined. Accordingly, its impact should be interpreted as a localized, event-driven disturbance rather than a persistent, system-scale forcing. The iceberg’s asymmetric configuration, with a gently sloping ocean-facing surface, likely directed returning adults toward an impassable southern escarpment, compounding movement costs (Fig. 5b–d).

Evidence collected during the 2025 field season suggests that the demographic consequences of the iceberg event were concentrated on chick productivity. Flipper length and body mass were measured in 37 surviving chicks during December and showed no significant differences relative to chicks at Cape Washington, consistent with adequate provisioning among individuals that survived the early post-hatching period. No adult carcasses were observed during ground visits, although adult mortality could not be directly assessed. Access to the colony, while severely constrained by the iceberg, was not entirely blocked. Taken together, these observations indicate that the most evident demographic consequence of the 2025 event was reduced chick productivity.

One plausible explanation is that survival reflected heterogeneity in parental access and foraging success. Some adults may have located and repeatedly used alternative routes earlier than others, allowing them to continue provisioning their chicks despite the access constraints. Because surviving chicks did not differ markedly in body mass or flipper length from chicks at Cape Washington, the available data do not support a strong developmental-stage or body-condition bias among survivors.

Future perspectives: event-driven risks in a changing Ross Sea

The 2025 Coulman Island event is better interpreted as a localized, event-driven disturbance rather than as evidence of persistent risk to emperor penguins across the Ross Sea. While the Ross Sea region has historically exhibited relatively stable sea-ice conditions19,21, recent variability suggests caution in generalizing its role as a refuge. This event highlights a class of event-driven disturbances that may not be fully represented in demographic models focused on large-scale mean-state variables, such as regional sea-ice extent.

The drift and grounding pathway of the 2025 iceberg highlights the importance of timing and spatial configuration in shaping ecological outcomes. Unlike iceberg C-33, which transited the Coulman Island sector in October 2016 and did not ground46, the 2025 iceberg remained in proximity to the island and subsequently became grounded (Supplementary Fig. 6). To our knowledge, this represents the first documented case, based on satellite-era observations, of an iceberg grounding immediately north of the colony, despite multiple icebergs transiting the region without grounding. The processes controlling this behavior are not fully resolved and may involve interactions among sea ice, ocean forcing, and local bathymetry.

Increasing instability of Antarctic ice shelves over recent decades has been linked to iceberg calving events47,48,49, potentially associated with climate-driven change such as ocean warming30,31. Large icebergs that remain grounded near the coast for extended periods can disrupt access routes to foraging areas and influence breeding outcomes at the colony scale. However, individual iceberg events are inherently stochastic, and our findings should be interpreted as evidence of a potential mechanism rather than a dominant driver of population change.

Emperor penguin responses to environmental change are likely nonlinear, emerging from interactions among sea ice, prey availability, episodic disturbance, and colony-level movement responses18,50. Although inter-colony connectivity and behavioral flexibility may buffer populations at the metapopulation scale12,51,52, this flexibility does not preclude severe local reproductive collapse when accessibility abruptly declines at critical stages of the breeding cycle.

Future assessments of emperor penguin breeding prospects would benefit from accounting for the potential influence of stochastic iceberg–sea-ice interactions, including calving timing, drift pathways, grounding probability, and residence time near breeding sites11,52. These processes represent low-frequency but high-impact disturbances that may affect local breeding outcomes under otherwise favorable regional sea-ice conditions. Additional factors, including coastal configuration and variability in fast-ice conditions, may further modulate colony vulnerability, although their specific contributions to the 2025 event remain uncertain. Addressing these processes will likely require continued long-term, cross-disciplinary monitoring, rather than direct incorporation into existing modeling frameworks, given their complexity.

Methods

Study area and colony context

The study was conducted at the emperor penguin colony located on annual landfast sea ice along the northern margin of Coulman Island (73°28′ S, 169°45′ E), North Victoria Land, Ross Sea, Antarctica (Fig. 1b). This colony is situated within Glacier Strait, a semi-enclosed coastal embayment bounded by Cape Jones to the south and open waters extending northward toward the Ross Sea polynya system (see Fig. 5a). The breeding aggregation forms on annual landfast sea ice along the island’s northern coast and spans several kilometers during the breeding season.

Emperor penguin census surveys

Two field surveys were conducted on 13 November 2025 and 5 December 2025 at the Coulman Island emperor penguin colony. The November survey formed part of the Korea Polar Research Institute (KOPRI) annual monitoring program. The December survey was conducted to complement the November survey and to assess habitat conditions, limited chick morphometrics, and iceberg topography. Both surveys used a helicopter-mounted platform for aerial photogrammetry at an altitude of approximately 600 m above ground level, consistent with KOPRI monitoring protocols since 2017. This ensured comparability in image resolution and survey coverage across years.

Chick counts were derived from high-resolution imagery through independent manual interpretation by four observers. Inter-observer variability was low (coefficient of variation = 2.04%), comparable to values reported for high-resolution imagery-based censuses typically ≤2.5%;50. Survey coverage (approximately a 10–15 km radius from the colony; see Fig. 5a) included the full spatial extent of the breeding area and adjacent fast-ice margins to minimize omission of peripheral groups. At the time of the November survey, the breeding aggregation was distributed among multiple subgroups, which were delineated, imaged, and counted separately before aggregating totals (Supplementary Fig. 7). During the December survey, additional peripheral subgroups were identified, increasing the total chick count to 6,658. Identical counting criteria were applied across both surveys to ensure consistency with previous datasets (2017–2024).

During the December survey, limited ground landings were conducted to obtain morphometric measurements from 37 chicks. Body mass was measured with a portable digital scale, and flipper length was measured with a standard caliper.

Satellite data and iceberg tracking

Multi-sensor satellite data were used to reconstruct iceberg calving, drift, grounding, and final configuration relative to the Coulman Island colony. Datasets included MODIS Terra true-color imagery, Sentinel-1 synthetic aperture radar (SAR), Landsat-8/9 Operational Land Imager (OLI), and very-high-resolution WorldView imagery.

The calving date from the Nansen Ice Shelf was identified using MODIS imagery. Despite partial cloud cover, imagery acquired on 12 March 2025 showed separation at the ice-shelf front, and subsequent scenes confirmed a detached iceberg, indicating calving on this date. Higher-resolution optical imagery (WorldView and Landsat) did not provide adequate coverage of the detachment period.

Post-calving drift was tracked using Sentinel-1 SAR imagery obtained from the Alaska Satellite Facility Data Search Portal. All available scenes from 11 March to 28 July 2025 were analyzed. Iceberg outlines were manually digitized, and centroid positions were used to reconstruct drift trajectories. Grounding was inferred from reduced displacement, onset of rotation, and subsequent positional stability adjacent to Coulman Island from 28 July 2025 onward.

Landsat-8/9 OLI imagery (30 m) from the USGS EarthExplorer archive was used to identify the final location of the grounded iceberg and to assess routes to the colony, using imagery acquired on 11 November 2025.

Very-high-resolution Maxar WorldView imagery (WorldView-3: 20 November 2024; WorldView-2: 6 November 2025) was used to evaluate surface biological indicators at the breeding site.

Iceberg morphology and elevation analysis

A high-resolution Digital Surface Model (DSM) of the grounded iceberg was constructed using aerial photogrammetry. For contextual reference, the 2 m-resolution Reference Elevation Model of Antarctica (REMA) v2.0 mosaic was used53. Horizontal coordinates were defined in WGS84/Antarctic Polar Stereographic (EPSG:3031), and elevations were converted from ellipsoidal heights (EPSG:4979) to orthometric heights using the EGM2008 geoid.

The aerial DSM was generated from 1071 photographs acquired from a helicopter platform. Most images were collected at approximately 1200 m above ground level to capture overall geometry, with additional lower-altitude (approximately 600 m) flights to improve coverage of steep surfaces. Imagery was captured with a Canon EOS R5 camera and a 100 mm lens. Three-dimensional reconstruction was performed in Agisoft Metashape Professional v2.2.2 using structure-from-motion workflows, and the resulting products were processed in Global Mapper to produce elevation products at an effective spatial resolution of approximately 1.2 m. Ground control points were not available. The analysis focused on relative elevation differences between iceberg surfaces at scales of tens of meters.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Data availability

Landsat-8 and Landsat-9 Operational Land Imager (OLI) surface reflectance images used to assess regional sea-ice conditions and the presence of grounded icebergs around Coulman Island were obtained from the U.S. Geological Survey EarthExplorer portal (https://earthexplorer.usgs.gov). Very high-resolution optical satellite imagery used for visual confirmation of emperor penguin breeding status and guano presence, including WorldView-3 (20 November 2024) and WorldView-2 (6 November 2025), was provided by Maxar Technologies and analyzed under a research license; these data are not publicly redistributable but can be accessed from the data provider subject to licensing conditions. MODIS Terra true-color imagery used to constrain the timing of iceberg calving from the Nansen Ice Shelf was accessed via NASA Worldview (https://worldview.earthdata.nasa.gov). Sentinel-1 C-band SAR data employed to reconstruct the iceberg drift and grounding trajectory were obtained from the Alaska Satellite Facility (ASF) Distributed Active Archive Center (https://search.asf.alaska.edu). The Reference Elevation Model of Antarctica (REMA) v2.0 mosaic, used as ancillary elevation data for iceberg surface analysis, is publicly available from the Polar Geospatial Center (PGC) at the University of Minnesota (https://www.pgc.umn.edu/data/rema). The datasets used in this study, including iceberg elevation measurements and iceberg elevation transects, are available through Figshare at https://doi.org/10.6084/m9.figshare.32573271.

References

  1. Constable, A. J. et al. Cross-chapter paper 6: Polar regions. (Cambridge University Press, 2022).

  2. Meredith, M. P. et al. Polar regions. In The Ocean and cryosphere in a changing climate: Summary for policymakers. (Intergovernmental Panel on Climate Change, 2019).

  3. Ranasinghe, R. et al. Climate change information for regional impact and for risk assessment. In Climate Change 2021: The Physical Science Basis. Working Group 1 Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. 1767–1926 (Cambridge University Press, 2021).

  4. Wang, S. et al. Recent warming trends in Antarctica revealed by multiple reanalysis. Adv. Clim. Change Res. 16, 447–459 (2025).

    Article 

    Google Scholar 

  5. Fretwell, P. T., Boutet, A. & Ratcliffe, N. Record low 2022 Antarctic sea ice led to catastrophic breeding failure of emperor penguins. Communi. Earth Environ. 4, 273 (2023).

  6. Bocquet, M., Fleury, S., Rémy, F. & Piras, F. Arctic and Antarctic Sea Ice thickness and volume changes from observations between 1994 and 2023. J. Geophys. Res. Oceans 129, e2023JC020848 (2024).

    Article 

    Google Scholar 

  7. Siegert, M. J. et al. Antarctic extreme events. Front. Environ. Sci. 11, 1229283 (2023).

    Article 

    Google Scholar 

  8. Trathan, P. N. et al. The emperor penguin – Vulnerable to projected rates of warming and sea ice loss. Biolo. Conserv. 241, 108216 (2020).

  9. Vaughan, D. G. et al. Observations: cryosphere. In Climate Change 2013: The Physical Science Basis. Working Group1 Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 317–382 (Cambridge University Press, 2014).

  10. Larsen, J. N. et al. In Climate change 2014: Impacts, adaptation and vulnerability: Part B: Regional aspects: Working group II contribution to the fifth assessment report of the intergovernmental panel on climate change. 1567–1612 (Cambridge University Press, 2015).

  11. Jenouvrier, S. et al. The call of the emperor penguin: legal responses to species threatened by climate change. Glob. Chang. Biol. 27, 5008–5029 (2021).

    Article 
    CAS 

    Google Scholar 

  12. LaRue, M. A., Kooyman, G., Lynch, H. J. & Fretwell, P. Emigration in emperor penguins: implications for interpretation of long-term studies. Ecography 38, 114–120 (2014).

    Article 

    Google Scholar 

  13. Forcada, J. & Trathan, P. N. Penguin responses to climate change in the Southern Ocean. Glob. Change Biol. 15, 1618–1630 (2009).

    Article 

    Google Scholar 

  14. Schmidt, A. E. & Ballard, G. Significant chick loss after early fast ice breakup at a high-latitude emperor penguin colony. Antarct. Sci. 32, 180–185 (2020).

    Article 

    Google Scholar 

  15. Wienecke, B. The history of the discovery of emperor penguin colonies, 1902-2004. Polar Record 46, 271–276 (2010).

    Article 

    Google Scholar 

  16. Kooyman, G. L. & Ponganis, P. J. Chick production at the largest emperor penguin colony decreases by 50% from 2008–10. Antarct. Sci. 26, 33–37 (2013).

    Article 

    Google Scholar 

  17. Barbraud, C. & Weimerskirch, H. Emperor penguins and climate change. Nature 411, 183–186 (2001).

    Article 
    CAS 

    Google Scholar 

  18. Ainley, D. G. et al. Antarctic penguin response to habitat change as Earth’s troposphere reaches 2 °C above preindustrial levels. Ecol. Monogr. 80, 49–66 (2010).

    Article 

    Google Scholar 

  19. Jenouvrier, S. et al. Demographic models and IPCC climate projections predict the decline of an emperor penguin population. Proc. Natl. Acad. Sci. USA. 106, 1844–1847 (2009).

    Article 
    CAS 

    Google Scholar 

  20. Jenouvrier, S. et al. Effects of climate change on an emperor penguin population: analysis of coupled demographic and climate models. Glob. Chang Biol. 18, 2756–2770 (2012).

    Article 

    Google Scholar 

  21. Jenouvrier, S. et al. Projected continent-wide declines of the emperor penguin under climate change. Nat. Clim. Change 4, 715–718 (2014).

    Article 

    Google Scholar 

  22. Trathan, P. N., Wienecke, B., Fleming, A. & Ireland, L. Using telemetry data and the sea ice satellite record to identify vulnerabilities in critical moult habitat for emperor penguins in West Antarctica. Polar Biol. 47, 533–547 (2024).

    Article 

    Google Scholar 

  23. Liu, Y. et al. Ocean-driven thinning enhances iceberg calving and retreat of Antarctic ice shelves. Proc. Natl. Acad. Sci. USA. 112, 3263–3268 (2015).

    Article 
    CAS 

    Google Scholar 

  24. Jenouvrier, S. et al. Living with uncertainty: using multi-model large ensembles to assess emperor penguin extinction risk for the IUCN Red List. Biol. Conserv. 305, 111037 (2025).

  25. BirdLife International [early online]. Aptenodytes forsteri. The IUCN Red List of Threatened Species 2026(2): e.T22697752A197622453 (2026).

  26. Berkman, P. A. et al. Science diplomacy: Antarctica, science, and the governance of international spaces. (Smithsonian Institution Scholarly Press, 2011).

  27. Labrousse, S. et al. Quantifying the causes and consequences of variation in satellite-derived population indices: a case study of emperor penguins. Remote Sens. Ecol. Conserv. 8, 151–165 (2022).

    Article 

    Google Scholar 

  28. Sen, B. et al. Temporal and spatial equivalence in demographic responses of emperor penguins (Aptenodytes forsteri) to environmental change. J Anim Ecol. 94, 932–942 (2025).

    Article 

    Google Scholar 

  29. Kooyman, G. L., Ainley, D. G., Ballard, G. & Ponganis, P. J. Effects of giant icebergs on two emperor penguin colonies in the Ross Sea, Antarctica. Antarct. Sci. 19, 31–38 (2007).

    Article 

    Google Scholar 

  30. Joughin, I. & Alley, R. B. Stability of the West Antarctic ice sheet in a warming world. Nat. Geosci. 4, 506–513 (2011).

    Article 
    CAS 

    Google Scholar 

  31. Etourneau, J. et al. Ocean temperature impact on ice shelf extent in the eastern Antarctic Peninsula. Nat. Commun. 10, 304 (2019).

    Article 

    Google Scholar 

  32. Ancel, A. et al. Emperors in hiding: when ice-breakers and satellites complement each other in Antarctic exploration. PLoS ONE 9, e100404 (2014).

    Article 

    Google Scholar 

  33. Kooyman, G. L., Hunke, E. C., Ackley, S. E., van Dam, R. P. & Robertson, G. Moult of the emperor penguin: travel, location, and habitat selection. Mar. Ecol. Prog. Ser. 204, 269–277 (2000).

    Article 

    Google Scholar 

  34. Kooyman, G. L. & Ponganis, P. J. Rise and fall of Ross Sea emperor penguin colony populations: 2000 to 2012. Antarct. Sci. 29, 201–208 (2017).

    Article 

    Google Scholar 

  35. Kooyman, G. L. & Kooyman, T. G. Diving behavior of emperor penguins nurturing chicks at Coulman Island, Antarctica. Condor 97, 536–549 (1995).

    Article 

    Google Scholar 

  36. Barber-Meyer, S. M., Kooyman, G. L. & Ponganis, P. J. Trends in western Ross Sea emperor penguin chick abundances and their relationships to climate. Antarct. Sci. 20, 3–11 (2008).

    Article 

    Google Scholar 

  37. Winterl, A. et al. Remote sensing of emperor penguin abundance and breeding success. Nat. Commun. 15, 4419 (2024).

    Article 
    CAS 

    Google Scholar 

  38. Zimmer, I. et al. Foraging movements of emperor penguins at Pointe Géologie, Antarctica. Polar Biol. 31, 229–243 (2007).

    Article 

    Google Scholar 

  39. Massom, R. A. et al. Fast ice distribution in Adelie Land, East Antarctica: interannual variability and implications for emperor penguins. Mar. Ecol. Prog. Ser. 374, 243–257 (2009).

    Article 

    Google Scholar 

  40. Nesterova, A. P. et al. Do penguins dare to walk at night? Visual cues influence king penguin colony arrivals and departures. Behav. Ecol. Sociobiol. 64, 1145–1156 (2010).

    Article 

    Google Scholar 

  41. Quintana, F. et al. Long walk home: magellanic penguins have strategies that lead them to areas where they can navigate most efficiently. Proc. Biol. Sci. 289, 20220535 (2022).

    Google Scholar 

  42. Barbraud, C., Delord, K. & Weimerskirch, H. Extreme ecological response of a seabird community to unprecedented sea ice cover. R Soc. Open Sci. 2, 140456 (2015).

    Article 

    Google Scholar 

  43. Labrousse, S. et al. Landfast ice: a major driver of reproductive success in a polar seabird. Biol. Lett. 17, 20210097 (2021).

    Article 

    Google Scholar 

  44. Wienecke, B. C. & Robertson, G. Foraging space of emperor penguins Aptenodytes forsteri in Antarctic shelf waters in winter. Mar. Ecol. Prog. Ser. 159, 249–263 (1997).

    Article 

    Google Scholar 

  45. Prévost, J. Ecologie du manchot empereur. Expéditions polaires françaises (Hermann Press, 1961).

  46. Dziak, R. P. et al. Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen ice shelf calving event and iceberg formation. Front. Earth Sci. 7, 183 (2019).

  47. Scambos, T. A., Hulbe, C., Fahnestock, M. & Bohlander, J. The link between climate warming and break-up of ice shelves in the Antarctic Peninsula. J. Glaciol. 46, 516–530 (2000).

    Article 

    Google Scholar 

  48. Wille, J. D. et al. Intense atmospheric rivers can weaken ice shelf stability at the Antarctic Peninsula. Commun. Earth Environ. 3, 90 (2022).

  49. Greene, C. A., Gardner, A. S., Schlegel, N. J. & Fraser, A. D. Antarctic calving loss rivals ice-shelf thinning. Nature 609, 948–953 (2022).

    Article 
    CAS 

    Google Scholar 

  50. LaRue, M. et al. Advances in remote sensing of emperor penguins: first multi-year time series documenting trends in the global population. Proc. Biol. Sci. 291, 20232067 (2024).

    Google Scholar 

  51. Briëd, J., Jiguet, F. & Jouventin, P. Why do Aptenodytes penguins have high divorce rates? Auk 116, 504–512 (1999).

    Article 

    Google Scholar 

  52. Fretwell, P. T. & Trathan, P. N. Emperors on thin ice: three years of breeding failure at Halley Bay. Antarct. Sci. 31, 133–138 (2019).

    Article 

    Google Scholar 

  53. Howat, I. M., Porter, C., Smith, B. E., Noh, M. J. & Morin, P. The reference elevation model of Antarctica. Cryosphere 13, 665–674 (2019).

    Article 

    Google Scholar 

Download references

Acknowledgements

We would like to express our sincere gratitude to Myeongho Seo, safety instructor, for his valuable assistance with the aerial photography campaign and the iceberg surface modeling. His support greatly improved the quality and completeness of this study. We also extend our sincere appreciation to Gerald Kooyman, Michelle LaRue, and Cassandra Brooks for their careful review of the manuscript and their constructive comments. Their insights and expertise substantially strengthened the scientific interpretation and clarity of this work. This work was supported by Korea Institute of Marine Science & Technology Promotion(KIMST) grant funded by the Ministry of Oceans and Fisheries(KIMST RS-2022-KS221661).

Author information

Authors and Affiliations

Authors

Contributions

J.P. conceived this study and led the manuscript writing. J.-H.K. conceived and supervised the study. J.-U.K. and Y.K. contributed to the acquisition of field observation data and participated in writing and editing the manuscript. Y.J. contributed to data processing and analysis. Y.O. reviewed and provided feedback on the manuscript. J.K. assisted in the acquisition of field observation data.

Corresponding author

Correspondence to
Jeong-Hoon Kim.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Communications Earth and Environment thanks Ignacio Martinez and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Heike Langenberg, Marisa Mcdonald

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Transparent Peer Review file (download PDF )

Supplementary Information (download PDF )

Reporting summary (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Cite this article

Park, J., Kim, JU., Kim, Y. et al. Iceberg-driven constraints on colony–foraging connectivity result in severe decline in chick counts for the Coulman Island emperor penguin colony.
Commun Earth Environ 7, 598 (2026). https://doi.org/10.1038/s43247-026-03764-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s43247-026-03764-w


Source: Ecology - nature.com

Phenology, growth and yield of Kangra tea in relation to agrometeorological indices

Field-to-forest fungal spillover is a biotic edge effect of coffee in Costa Rica

Back to Top