Permafrost carbon feedback (PCF) modeling has focused on gradual thaw of near-surface permafrost leading to enhanced carbon dioxide and methane emissions that accelerate global climate warming. These state-of-the-art land models have yet to incorporate deeper, abrupt thaw in the PCF. Here we use model data, supported by field observations, radiocarbon dating, and remote sensing, to show that methane and carbon dioxide emissions from abrupt thaw beneath thermokarst lakes will more than double radiative forcing from circumpolar permafrost-soil carbon fluxes this century. Abrupt thaw lake emissions are similar under moderate and high representative concentration pathways (RCP4.5 and RCP8.5), but their relative contribution to the PCF is much larger under the moderate warming scenario. Abrupt thaw accelerates mobilization of deeply frozen, ancient carbon, increasing 14C-depleted permafrost soil carbon emissions by ~125–190% compared to gradual thaw alone. These findings demonstrate the need to incorporate abrupt thaw processes in earth system models for more comprehensive projection of the PCF this century.
Northern permafrost soils represent the largest terrestrial organic carbon pool (1330–1580 petagrams, Pg)1 on Earth. While frozen, this soil carbon reservoir is stable.
However, recent observations2,3,4,5 and projections1,6,7,8,9,10 of future soil warming and permafrost thaw suggest that permafrost soil carbon will be increasingly vulnerable to decomposition by microbes that generate the greenhouse gases carbon dioxide (CO2) and methane (CH4). This release of permafrost carbon as greenhouse gases constitutes a positive feedback likely to amplify climate warming beyond most current earth system model projections1.
Recent permafrost carbon feedback (PCF) estimates indicate 23–174 Pg of permafrost soil carbon emission by 2100 under the Representative Concentration Pathway (RCP) 8.5 scenario1,7,8 and 6–33 Pg C under RCP4.57,8. Such permafrost carbon emission trajectories, which were not included in the Intergovernmental Panel on Climate Change (IPCC)’s Fifth Assessment Report (AR5)11, would increase global temperatures predicted for 2100 by ~0.3 ± 0.2 °C (RCP8.5)6. Compared to CO2, CH4 is considered the lesser cause of warming, responsible for < 20% of the total PCF temperature increase6 despite its much higher global warming potential12. The land-surface carbon models, which operate at large landscape scales and account for very basic permafrost-soil thermodynamics and its control on soil organic carbon decomposition6,7,8,9,10, represent only gradual, top-down thaw of permafrost soils by active layer deepening (i.e., increasing seasonal surface thaw). They do not consider the mechanism of deeper, abrupt thaw.
Thermokarst, the most widespread form of abrupt permafrost thaw13, occurs when soil warming melts ground ice, causing land surface collapse14,15. Water pooling in collapsed areas leads to formation of taliks (unfrozen thaw bulbs) beneath expanding lakes, accelerating permafrost thaw far faster and deeper than would be predicted from changes in air temperature alone16,17,18,19. Remote sensing and field observations reveal that localized abrupt thaw features, including thermokarst lakes, thermo-erosional gullies, thaw slumps, and peat-plateau collapse scars, are extensive across northern landscapes with ice-rich permafrost13. Despite two decades of observations showing that thermokarst lakes20,21 and other abrupt thaw features22 are hotspots of 14C-depleted permafrost-derived CH4 emissions (Fig. 1), the impact of abrupt thaw on state-of-the-art land-model predicted PCF6,7,8,9,10 remains unknown.
Here we re-analyzed model output from an earth system model, the Community Land Model version 4.5 (CLM4.5BGC)7, to identify the carbon-emissions fraction originating from gradual permafrost thaw on land, and to quantify the increase to 21st-century circumpolar permafrost-carbon emissions by including warming-induced abrupt thaw beneath thermokarst lakes. Our abrupt thaw emissions are derived from a vertically- and latitudinally-resolved box model of permafrost carbon processes, including a novel component conceptually describing circum-Arctic thermokarst-lake dynamics and related carbon release23, which we refer to here as the Abrupt Thaw (AThaw) model (Supplementary Table 1).
CLM4.5BGC and AThaw differ in model complexity, forcing parameters, and resolution (Methods), but both include basic sets of permafrost processes and multiple soil organic carbon pools for projecting permafrost-carbon dynamics7,23. CLM4.5BGC focuses on gradual, homogenous thaw affecting only surface permafrost (< 3 m) across the landscape. It also accounts for carbon cycling in the seasonal active layer and stimulation of plant growth by future elevated atmospheric CO2 concentrations and increased nitrogen mineralization with increasing soil organic matter decomposition7. In contrast, AThaw simulates the more heterogeneous process of abrupt, deeper (≤15 m) thaw beneath newly-formed and expanding thermokarst lakes. AThaw lacks the CO2 fertilization effect since plant uptake of atmospheric carbon is negligible in lakes when permafrost-carbon emissions dominate the first century of lake formation16,24; however, processes of lake drainage and carbon fluxes associated with plants colonizing drained lake basins are considered (Supplementary Note 1). Here we summed gradual- and abrupt-thaw carbon fluxes as two independent processes, after avoiding double counting on the ≤ 6% land surface area occupied by abrupt thaw lakes. Fluxes are presented in carbon dioxide equivalents (C-CO2e) to account for the ~28 times larger global warming potential of CH4 at the century time scale (GWP100)12 (Supplementary Table 2). We also calculated the circumpolar permafrost-carbon radiative effect (CPCRE), which is the radiative forcing due to atmospheric perturbations in CH4 and CO2 concentration for these permafrost-soil-carbon flux trajectories. Model results for years 1950–2017 are comparable to observational records from recent decades. Model results also reveal a significant increase to 21st century circumpolar permafrost-carbon emissions and associated radiative forcing by including warming-induced abrupt thaw beneath thermokarst lakes. These findings demonstrate the need to incorporate abrupt thaw processes in earth system models for more comprehensive projection of PCF this century.
Permafrost carbon models and present-day emissions
While CLM4.5BGC emissions show large interannual variability in the permafrost region’s current sink/source status (Supplementary Figs 1 and 2), flux observations and inversion models suggest that the terrestrial permafrost region is an uncertain net CO2 sink (0–0.8 Pg C-CO2e yr−1)25 despite active layer deepening and a few observations of old (14C-depleted) soil-carbon respiration observations in Alaska26,27 and Greenland28 (Fig. 2b, c). In contrast, abrupt permafrost thaw beneath new and expanding thermokarst lakes is an atmospheric carbon source – Estimates of present-day emissions by AThaw (7–49 Tg C-CO2e yr−1 for years 2011–2017) are similar to observations21 (19–58 Tg C-CO2e yr−1; Methods).
In the context of Holocene-scale thermokarst dynamics, present-day AThaw CH4 emissions (0.7–4.0 Tg yr−1, 68% range) represent no significant change from thermokarst-lake emissions over the past 8000 years29, a pattern that is also consistent with no significant changes in natural arctic CH4 sources during the historical record of atmospheric monitoring30. Our 1999–2014 remote-sensing based observation of gross lake-area growth (1.1–1.7%; Fig. 3, Supplementary Fig. 3; Supplementary Table 3) among 73,804 lakes occurring across diverse geographical, climatic, and permafrost regimes in Alaska is at the lower end of the range of gross lake area growth, normalized to the same time scale, that has occurred in various other pan-Arctic regions during the past 60 years21,31,32,33,34 (Methods; Supplementary Table 4). Lacking a longer observational record dissected into multiple time slices and higher-resolution imagery analyses, we cannot discern this gross lake area increase as different from natural thermokarst-lake processes that occur irrespective of climate warming31,35,36.
Our observed 1999–2014 gross lake area gain (154 km2) is outweighed by gross lake area loss (i.e., lake drainage, 330 km2) for the same study extent (12,798 km2 total lake area; Fig. 3). Nonetheless, this lake change dynamic still contributes and additional 0.9 Tg C-CO2e of landscape-scale carbon emissions to the atmosphere over the 15-yr study period when field-measured fluxes are applied to increasing and decreasing lake-area changes (Supplementary Table 3, Supplementary Note 2). Despite the net lake area loss, landscape-scale carbon emission to the atmosphere remains positive because conversion of upland terrestrial ecosystems with relatively low carbon fluxes (Supplementary Table 5) to newly formed thermokarst-lake areas with high CH4 emissions results in a 130- to 430-fold increase in emissions per square meter of land surface change (Supplementary Table 6). The contrasting drainage of lower-emitting older portions of lakes and the establishment of productive, wetland vegetation in drained lake basins leads to smaller changes in carbon fluxes (factor of −0.004 to +0.08). Our net carbon emission estimate is likely conservative because the 30-m resolution Landsat-based analysis did not account for the formation and growth of numerous smaller CH4-emitting lakes that are only detectable with finer-resolution imagery (Supplementary Fig. 3).
An increase in abrupt thaw lake permafrost carbon emissions requires an acceleration of gross thermokarst lake area growth rates. Such an acceleration was observed in the early Holocene when the frequency of thermokarst-lake basal dates peaked in association with the 1.6 ± 0.8 °C climate warming during the Holocene optimum29,37. Widespread acceleration of gross lake area gain during recent decades has yet to be observed among studies of multitemporal satellite imagery38; however conclusive evidence requires quantification of gross lake area growth for large regions using high-resolution imagery in multiple time slices, an analytical combination rarely found in the literature31,39 (Supplementary Table 4). Analyses of multi-decadal aerial photographs revealed that surface ice-wedge melt, a critical first step in thermokarst-lake formation40, abruptly increased during the last 30 years in several pan-arctic areas in response to exceptionally warm summers and a long-term upward trend in summer temperature14,15,41. Terrestrial Arctic warming of 4–6 °C (RCP4.5) and > 7 °C (RCP8.5) projected to occur this century10,11 will be unprecedented for the Holocene37,42 and is anticipated to accelerate gross lake area growth21,43,44 and the PCF1,6,7,8,9, which could, however, be offset by gross lake area loss resulting from lake drainage43.
Abrupt thaw impacts on 21st century emissions
Our reanalysis of 21st-century CLM and AThaw model results brings to light four critical findings. First, accounting for abrupt permafrost thaw beneath lakes, which peaks mid-century in response to RCP8.5 atmospheric temperature rise (Supplementary Figs 4 and 5), increases late 21st century circumpolar permafrost carbon emissions up to 118% (49–235%, 68% uncertainty range) (Fig. 4b; Supplementary Data 1). Corresponding CPCRE is increased by 130% (62–265%, 68% uncertainty) over that from gradual top-down thaw alone (Fig. 4h), which was the basis of previous PCF assessments1,6,7,8. We acknowledge that the extent to which AThaw emissions affect CPCRE depends on the land-surface models used6,7,8,9,10, but in all cases would result in a significant increase. End-of-the-century weakening of the abrupt thaw lake contribution to CPCRE occurs because strong warming in RCP8.5 ultimately leads to the loss of high CH4-emitting lakes through significant landscape-scale drainage43,45. Meanwhile, gradual top-down thaw increases at the end of the century7 (Fig. 4).
Second, while permafrost-carbon emissions from lakes are a similar magnitude under RCP4.5 and RCP8.5 (Supplementary Fig. 6), the impact of these increased emissions on CPCRE is more pronounced in the moderate forcing scenario (RCP4.5) compared to the strong (RCP8.5) forcing scenario (Fig. 4g, h), intensifying the need for policy makers to take permafrost carbon into account when evaluating climate mitigation scenarios9. Including the RCP4.5 median cumulative emissions from new thermokarst lakes [12.3 (5.7–26.7, 68% uncertainty) Pg C-CO2e by 2100] nearly triples what has until now been accepted as the CPCRE from gradual thaw alone (6.4 Pg C-CO2e by 2100), resulting in a ≤162% increase (76–350%, 68% uncertainty) in circumpolar permafrost-carbon radiative forcing (Fig. 4g, Supplementary Data 1). High AThaw impact on CPCRE under RCP4.5 is caused by differences in the responses of gradual versus abrupt thaw dynamics to moderate climate forcing. In the gradual thaw setting for RCP4.5, atmospheric carbon uptake by plants growing in active layer soils is stimulated more than decomposition of soil organic matter. However, the same degree of warming triggers an acceleration of abrupt thaw via thermokarst-lake formation on up to 4.9% (3.0–6.6%, 68% uncertainty range) of the permafrost-dominated landscape (Supplementary Fig. 4), a pattern consistent with independent thermokarst-lake modeling for northeast Siberia43.
Third, CH4, not CO2, is the dominant driver of the CPCRE, responsible for up to ~70% of circumpolar permafrost-carbon radiative forcing this century (Fig. 4g, h, Supplementary Data 1). On a mass basis AThaw lake CH4 emissions are small relative to CO2 (Fig. 4c, d); however, persistent CH4 emissions and their larger GWP100 results in CH4 contributing most of the radiative forcing from abrupt thaw (Supplementary Fig. 6). Methane’s contribution to CPCRE may be still higher in CLM simulations where terrestrial soils do not dry following permafrost thaw46.
Finally, including AThaw lake formation increases cumulative old (14C-depleted), permafrost-derived carbon (C-CO2e) emissions up to 127% (RCP8.5) and 190% (RCP4.5) during the late 21st century (Fig. 4a, b). Although climate impact is independent of carbon age, 14C-flux monitoring is useful for assessing PCF changes and biogeochemical activation of a previously inert, large carbon pool as increasingly old permafrost thaws. While only a fraction of 21st-century gradual-thaw model emissions originates from permafrost thaw itself (10–95% is active-layer-soil carbon mineralization, range depending on land surface model type7,8, Supplementary Fig. 2), talik expansion beneath lakes accelerates deep permafrost thaw, mobilizing older permafrost carbon on shorter time scales16,17,18,19.
Combining helicopter-borne electromagnetic (AEM) observations of talik depth in lakes formed since 1949 in Goldstream Valley, interior Alaska with field-based quantification of lake CH4 emissions (Fig. 5, Supplementary Fig. 7), we compared observations of these abrupt permafrost thaw rates and their associated surface fluxes with those of gradual permafrost thaw in the terrestrial uplands reported in the literature. Hotspots of 14C-depleted CH4 seepage occur in lakes newly formed since 1949 (Figs 1 and 2). In contrast, older lakes that have not expanded lack these hotspots (Supplementary Fig. 8). The vertical thaw depth beneath abruptly-formed thermokarst lakes (8–15 m, Supplementary Fig. 7) was ten to 30-fold greater than the seasonal thaw depth (active layer) in the forested area adjacent to the abrupt thaw study sites (0.5–0.6 m) and in other interior Alaska and Greenland terrestrial sites (0.6–0.8 m)26,28, where emissions of old permafrost carbon have also been recently observed26,27,28. This ten to 30-fold difference in thaw depth corresponded to a 21–34-fold larger C-CO2e yr−1 emission of old (14C-depleted) permafrost soil carbon to the atmosphere in the abrupt thaw lake environment compared to gradual thaw in the upland tundra near Healy, Alaska27. Comparing abrupt thaw emissions to net surface carbon fluxes (NEE) in the terrestrial uplands near Healy, Alaska26, and Greenland28,47, we found a 55- to >2200-fold higher emissions from the abrupt thaw lakes (Fig. 2b) (Kolmogorov Smirnov, p < 0.001). The higher emissions relative to thaw depth ratio for abrupt versus gradual thaw may be explained in part by higher mean annual temperatures in talik sediments beneath lakes that remain unfrozen year-round48 compared to the deepest thawed material at the base of terrestrial active layers, which reach temperatures just above 0 °C for up to a few months per year when these soil layers are not frozen5. We acknowledge that talik development will become more widespread in the terrestrial environment in the future too, once thaw goes deep enough to separate permafrost from the seasonally freezing surface layer49. Nonetheless, the ages of lake-emitted carbon observed among numerous pan-Arctic thermokarst lakes (CH4: 2174–42,900 years BP, median 17,522 years BP, n = 72) and among our interior Alaska study lakes newly formed since 1949 (CH4: 6292–10,125 years BP; CO2: 1626–4811 years BP; Fig. 2c, Supplementary Data 2), are up to tens of thousands of years older than old carbon emissions from gradual permafrost thaw on land (CO2: 567–700 years BP, n = 4)27 (Fig. 2c) (Kolmogorov Smirnov, p < 0.001) (Fig. 2c). This suggests that including abrupt thaw in PCF scenarios will increase not only the emission magnitude of old carbon, but also its radiocarbon age, improving feasibility for atmospheric 14C monitoring50 to detect changes in the permafrost-carbon source.
Whether the warming Arctic will become wetter or drier will impact future PCF strength according to abrupt thaw lake abundance43 and gradual-thaw CH4/CO2 emission ratios46. However, state-of-the-art CMIP5 models consistently predict an increase in precipitation relative to evapotranspiration in the Arctic, especially in summer51, favoring hydrological conditions for enhanced thermokarst-lake development43. Many newly formed lakes will ultimately be subject to drainage23,43,44 when they intersect topographical drainage gradients by lateral expansion52, from elevated water levels53, or when taliks penetrate permafrost, allowing the potential for internal drainage to the groundwater system54 (Supplementary Figs 4 and 5). While AThaw does not project fluxes in drained lake basins, we consider the implications of lake drainage on landscape-scale fluxes. Present day areal-based carbon fluxes in drained lake basins are one to three orders of magnitude lower than abrupt thaw lake emissions due to refreezing of taliks and colonization of drained basins by plants, whose CO2 uptake offsets emissions55,56 (Supplementary Table 5). It is conceivable that this difference could be smaller by the end of the century, particularly for RCP8.5, when temperatures are warm enough to prevent refreezing of taliks following lake drainage49. Methanotrophy57 will offset emissions of CH4 produced in drained-lake-basin taliks. However, ecosystem-scale microbial studies show a higher temperature response by methanogenesis than by methanotrophy or by CO2 fluxes attributable to respiration and photosynthesis58,59. This indicates that in a warmer world, CH4 emissions and the ratio of CH4 to CO2 emissions from individual ecosystems will increase59,60. This also implies that our estimate of AThaw contributions to late-century CPCRE is conservative, particularly for RCP8.5, and would be higher if fluxes in drained lake basins were also taken into account.
Abrupt thaw implications
While the cumulative land area subject to abrupt thaw lake formation is less than one tenth of permafrost land areas (Supplementary Fig. 4e, f), our modeling results (Fig. 4), supported by field work (Figs 1 and 5) and remote sensing (Fig. 3), show that an increase in the volume of newly thawed sub-lake sediments through expansion of existing and formation of new thermokarst lakes is likely to yield disproportionately large releases of 14C-depleted permafrost carbon to the atmosphere this century. The 27 Tg yr−1 (15–50 Tg yr−1, 68% range) increase in CH4 emissions from newly-formed lakes by mid-century for RCP8.5 (Supplementary Fig. 6), is similar to a recent, independent process-based model estimate by 2100 (27–38 Tg yr−1)44 and is nearly triple the 10 Tg yr−1 rise in global human and natural sources of atmospheric CH4 observed from 2003 to 201260. Other non-lake mechanisms of abrupt thaw, such as thermoerosional gullies, thaw slumps, and peat-plateau collapse scars, will increase permafrost-carbon emissions further13.
The moderate climate mitigation strategy (RCP4.5) requires a > 50% reduction in anthropogenic CO2 emissions (i.e., −20 Gt CO2 yr−1) by 2100 compared to the current level61. Our projected permafrost emissions are comparatively small (1.5–4.2 Gt CO2e yr−1 by 2100 for RCP4.5 and 8.5, respectively). However, they are of similar magnitude to the second most important anthropogenic source after fossil fuels [Land Use Change emissions 3.5 ± 1.8 Gt CO2 yr−1], which has been relatively constant during the last 60 years62, implying that our projected permafrost emissions will provide a headwind in the goal to aggressively mitigate CO2 emissions.
In contrast to shallow, gradual thaw that may rapidly re-form permafrost upon climate cooling, deep, CH4-yielding abrupt thaw is irreversible this century. Once formed, lake taliks continue to deepen even under colder climates17, mobilizing carbon that was sequestered from the atmosphere over tens of thousands of years. The release of this carbon as CH4 and CO2 is irreversible in the 21st century. This irreversible, abrupt thaw climate feedback is large enough to warrant continued efforts toward integrating mechanisms that speed up deep permafrost-carbon thaw and release into large-scale models used to predict the rate of Earth’s climate change.
Summary of the modeling approach
Permafrost-region 21st-century soil carbon emissions are compared between two model types using IPCC RCP4.5 and RCP8.5. Both models represent basic sets of permafrost processes and have multiple soil organic carbon pools, but the models differ in their complexity of how individual processes are described. While CLM4.5BGC7 simulates the full physical interactions between the atmosphere and the soil, including vegetation uptake of CO2, AThaw parameterizes soil thaw rates, depending on ground thermal properties, mean annual ground temperatures, active layer depth, and magnitude of the regional warming anomaly which drives permafrost degradation23. In its current model design, CLM4.5BGC simulates gradual thaw in terrestrial uplands. We utilized CLM4.5BGC emission data for years 1950–2100 partitioned according to non-permafrost carbon, originating from present-day active layer horizons, and permafrost carbon, which becomes thawed from the top down as active layer gradually deepens. In contrast, the more simplistic, but therefore more flexible model design in AThaw also allows for abrupt thaw under thermokarst lakes by tuning model parameters to simulated talik growth rates of a physically-based thermokarst-lake model16. Newly-formed thermokarst lakes and laterally-expanding lake margins are a large net source of atmospheric CH4 and CO2, in contrast to mature thermokarst-lake stages, where fluxes are lower (Supplementary Tables 5 and 6). AThaw simulates only the carbon emissions from newly thawed sub-lake sediments comprising contributions from expansion of thaw lakes present since 1850, and from new lake initiation in response to warming after the year 1850. AThaw does not simulate fluxes for older lake areas already present on the landscape at year 1850. Further, permafrost degradation in CLM4.5BGC is driven by spatially resolved climatic forcing fields, while AThaw focuses on large-scale latitudinal climatic gradients. In addition to differences in spatial resolution, CLM4.5BGC is more complete, simulating a large set of climate variables which all determine surface vegetation and soil conditions, while AThaw considers surface air temperatures only as the key driver for the net balance of lake expansion versus drainage.
AThaw is a conceptual model which projects carbon release from abrupt thaw by accounting for the full chain of processes from formation of new thermokarst lakes under global warming and talik deepening in sub-lake sediments to eventual carbon release to the atmosphere following anaerobic microbial degradation of organic matter and CH4 oxidation. AThaw also accounts for lake drainage; although, carbon fluxes in drained lake basins are not modeled24,63,64,65. AThaw is incorporated into a multi-box permafrost-carbon release model which allocates soil organic matter into latitudinally and vertically gridded boxes of differing conditions regarding soil physics, carbon quantity and quality, and biogeochemistry23.
Briefly, AThaw model resolution consists of (a) 20 latitudinal bands, ranging from 45°N to 85°N with a 2° gridding, and of (b) 27 vertical soil layers corresponding to layer thicknesses of 25 cm for the upper 4 m, and of 1 m thickness for the depth range of 4–15 m. AThaw assumes typical soil organic matter residence times in permafrost soils, which are determined by partitioning into passive, slow, and fast cycling carbon pools with decomposition timescale parameters based on incubation experiments. Q10 temperature sensitivity is accounted for as well as CH4 oxidation [for details see Supplementary Table 1 and Schneider von Deimling et al.23.
AThaw assumes that increasing Arctic temperatures will drive expansion of existing lakes and new thermokarst-lake formation by melting of near-surface ground ice and subsequent ground subsidence. This assumption is in line with Community Land Model (CLM4.5) results from Lee et al.66, whereby surface excess ice in permafrost soils of many regions will largely melt by 2100 when subject to intense warming. AThaw assumes that comparatively small 19th and 20th-century warming rates have initiated some formation of new but rather shallow thermokarst lakes with likely winter-refreeze of lake bottom sediments. Start of abrupt thaw (i.e., formation of sub-lake taliks) is only assumed to occur for stronger warming starting in the 21st century and beyond. The evolution of newly-formed thermokarst lakes is parameterized in AThaw by an optimum function which non-linearly scales the latitudinal thermokarst lake area fraction by the surface air temperature anomaly23 (Supplementary Figs 4 and 5). The lake formation scheme models an increase of newly-formed thermokarst-lake areas with temperature until a maximum extent [FTKLmax (~8 to ~40% increase, depending on soil type)], is reached under a temperature optimum dT′TKLmax. The temperature optimum corresponds to high-latitude surface air temperatures 4–6 °C above pre-industrial; warming above this optimum shifts 21st century lake dynamics toward net drainage. Such responses of thermokarst lake formation to temperature increases are not unprecedented, given that the early Holocene Arctic temperature increase of 1.6 °C37 resulted in a 570% increase in thermokarst-lake formation rates24. AThaw-projected increases in lake area are lower for 2010–2100 compared to the early-Holocene observational record, because permafrost soils are now more protected from warming and thawing by thick organic soil surfaces67 and less likely to form large lakes compared to the less dissected early Holocene periglacial landscape52.
Temperature-driven thermokarst lake dynamics
Rather than simulating individual lake life cycles of formation, expansion, drainage, and re-initiation of later generation lakes (e.g., ref. 43), AThaw quantifies the net effect of new lake formation and drainage in modelled lake areas (FTKL). We capture a wide range of uncertainty in net lake formation and drainage trajectories by varying two key model parameters: The maximum net lake area, FTKLmax, and the optimum high latitude surface temperature increase, dT′TKLmax (Supplementary Fig. 5). Model parameters for the maximum lake area extent (FTKLmax) were chosen individually for the four AThaw soil classes to capture expected differences in the potential for future lake development (see Methane and CO2 in newly-formed thermokarst lakes). However, the parameter that most strongly controls the dynamics of thermokarst lake formation and drainage is the temperature optimum, dT′TKLmax, the temperature at which the maximum lake area occurs. We prescribed a mean estimate of 5 °C for dT′TKLmax (i.e., high latitude surface air warming above pre-industrial) and consider a full range of 4–6 °C in our model ensemble. This parameter choice is based on paleoenvironmental evidence of Early Holocene warming by a few degrees Celsius in Northern Hemisphere land areas37,68,69 which resulted in rapid and intensive thermokarst activity24,29,70.
This range of dT′TKLmax values was also chosen to capture the sensitivity of future surface ice-wedge melt to climate warming, since ice-wedge melt is a critical step in thermokarst lake formation and drainage. Increases in permafrost temperature, which typically mirror increases in air temperature, have been observed in many Arctic regions, with warming of up to 3 °C since the 1970’s in some of the coldest permafrost regions3,38,71. Permafrost warming is often accompanied by active layer deepening and increased ground-ice melt. Widespread surficial degradation of ice wedges and a significant increase in areas of water-filled polygonal troughs has been linked to climatic warming during the past few decades in northern Alaska, the Canadian Arctic Archipelago, and Siberia14,15,41. Additional permafrost warming on the order of 2–3 °C anticipated by 2050 for RCP4.5 and RCP8.549, is expected to intensify permafrost and surface ice wedge degradation66, enhancing thermokarst. For RCP4.5, permafrost warming slows beyond 205049, supporting AThaw ensembles of lower net thermokarst lake formation during the latter part of the century (Supplementary Figs 4 and 5). In contrast, extreme warming after 2050 for RCP8.5 is expected to heavily degrade permafrost, such that near-surface permafrost disappears entirely from many arctic regions49. These conditions lend support to AThaw parameterization, which leads to net lake drainage in the later part of the century for RCP8.5.
In AThaw, warming above the temperature optimum in the 21st century is assumed to lead to a reduction in AThaw lake area due to increasing lake drainage23,43,45, until a prescribed minimum fraction FTKLmin remains. The minimum fraction of the landscape still covered by newly formed lakes, decreases from north to south23. In northern, continuous permafrost regions, lakes in AThaw are prescribed to drain laterally as melting of the ice-wedge network in the surface surrounding lakes can create drainage pathways52. Other mechanisms of lake drainage include bank overtopping, headward gully erosion towards a lake; and tapping of lakes by streams, rivers, or other water bodies36. Higher drainage potential in southern, discontinuous permafrost regions also encompasses internal drainage of lake water through open taliks that penetrate thin permafrost in groundwater recharge settings54.
While the 4–6 °C dT′TKLmax range used in our modeling was prescribed based on paleoenvironmental evidence, historical observations, and modeling of future permafrost dynamics, we can consider the implications of using smaller or larger dT′TKLmax values. Smaller dT′TKLmax values would imply that the maximum area of thermokarst lake coverage would occur earlier in the century. This would result in a relatively larger AThaw increase to the PCF earlier in the 21st century and a lower AThaw contribution to PCF toward the end of the century due to more widespread drainage. If dT′TKLmax aligned more closely with the range of simulated high latitude warming inferred from higher concentration pathways (e.g., dT′TKLmax > 6 °C), we would expect maximum thermokarst lake coverage (i.e., FTKLmax) to occur later in the century, less drainage of AThaw lakes during the 21st century, and a larger relative contribution of AThaw to end-of-the century PCF under stronger future warming.
It is interesting to note that that while thermokarst-lake initiation and drainage rates are linked to climate, thermokarst-lake growth—the long process between initiation and drainage that results in most of the carbon release—has dynamics (e.g., talik growth, shore expansion) that once started become rather decoupled from climate due to strong linkage with local factors such as ground ice content and ice-layer thickness72,73,74,75. Hence, thermokarst lakes are found across the entire range of Arctic climatic zones and permafrost temperatures as long as there is sufficient ground ice36,76,77. A thermokarst lake on the New Siberian Islands has the same potential to release carbon as a thermokarst lake in Central Yakutia; the differences are largely not determined by climate (or RCP conditions) but by local conditions such as permafrost soil carbon and ground ice contents. Hence, either RCP scenario will result in more lakes (earlier or later) and both scenarios will have a similar emission magnitude linked to maximum lake areas, but relative to anthropogenic emissions, the thermokarst lake emissions from RCP4.5 will be more relevant.
Factors other than temperature that are not included in AThaw, but which can also affect thermokarst lake dynamics include natural and anthropogenic surface disturbance, precipitation changes, and local topography43. However, since CMIP5 models consistently predict a moistening trend in the Arctic (i.e., an increase in precipitation relative to evapotranspiration)51, an explicit accounting for predicted 21st-century precipitation and evaporation trends would reinforce rather than weaken the AThaw lake dynamics driven by temperature changes alone.
Methane and CO2 in newly-formed thermokarst lakes
AThaw simulates pan-Arctic CH4 (CH4TKL) and CO2 (CO2TKL) release from thermokarst lakes proportional to the amount of newly-thawed carbon that becomes vulnerable to microbial decomposition. The volume of this newly-thawed carbon expands vertically by talik growth in sub-lake sediments and horizontally by increases in the extent to which thermokarst lakes cover the landscape. Here we discuss how these two processes, vertical and horizontal growth, are captured in AThaw and how they compare to other modeling studies and observational evidence.
First, AThaw simulates vertical talik growth rates beneath lakes as a function of atmospheric temperature anomalies, which in turn determine lake bottom temperatures and ultimately drive sub-lake sediment warming. Thaw rates are assumed to depend on soil ice contents, mean ground temperature, depth of the thaw front, and are tuned to reproduce talik deepening simulated by Kessler et al.16. For instance, AThaw simulates typical talik depth beneath lakes of 11 m (7.8–13.4 m, 68% uncertainty range; 20 m max) in warm permafrost environments (i.e., mean annual soil temperatures close to 0 °C) with mineral soils by the year 2050 under RCP8.5. Our helicopter-borne electromagnetic measurements of sites with comparable climatic and soil conditions (i.e., relatively warm permafrost temperatures between −3 and −1°C) (Supplementary Information) have inferred lake talik growth of 8–15 m in < 50 years (Supplementary Fig. 7). It should be noted that advective heat transport by groundwater can accelerate vertical thaw; maximum reported thaw rates are up to a meter per year78,79. When accounting for the effect of ground subsidence in a modeling context, Westermann et al.79 suggest that several meters of ground ice can be removed in less than a decade. The authors simulated a talik growth of 15 m by 2100 under RCP8.5 for a site characterized by yedoma ice complex in cold, continuous permafrost. In contrast, AThaw simulates 6 m (4–8 m, 68% range) talik depth under comparable climatic conditions by end of the century. Therefore, given modeling and observational evidence, we consider that the thaw rates in sub-lake sediments simulated by AThaw are relatively conservative.
A second key AThaw model assumption concerns simulated thermokarst-lake expansion in a warmer climate. Central to this aspect is the question to which extent newly-formed thermokarst lakes will cover degrading permafrost landscapes in a warmer climate. AThaw assumes that future thermokarst-lake formation will strongly depend on soil conditions (e.g., ice content) and landscape morphology. Therefore, the model assumes different maximum lake formation extents for four different ice-rich soil type distributions in the permafrost region of the Arctic: mineral soil (Orthels and Turbels), organic soils (Histels), undisturbed yedoma, and refrozen thermokarst deposits in the yedoma region (Supplementary Table 1, Supplementary Figs 4 and 5). Orthels, Turbels and Histels follow the Northern Circumpolar Soil Carbon Database (NCSCD)80, while undisturbed yedoma and refrozen thermokarst deposits in the Pleistocene-aged ice-rich yedoma soil region are distinguished according to Strauss et al.81 and Walter Anthony et al.24.
For mineral soils, AThaw assumes that newly-formed lakes can degrade a maximum fraction FTKLmax of 7% (4–9%, 68% range; Supplementary Fig. 4) of the landscape. Given the large-scale dominance of mineral soils in the permafrost region soil carbon inventory (540 Pg C, NCSCD)80, this soil class contributes significantly to cumulative pan-arctic CH4TKL (at year 2100, 46% for RCP8.5, 28% for RCP4.5). Organic soils (120 Pg C, NCSCD)80 are typically richer in ground ice than mineral soils and therefore AThaw assumes a factor two larger potential for the formation of new thermokarst lakes [FTKLmax of 14% (10–17%, 68% range; Supplementary Fig. 4)]. This soil type contributes 17% for RCP8.5 and 14% for RCP4.5 to cumulative pan-arctic CH4TKL. AThaw explicitly accounts for ice- and organic-rich soils in yedoma regions, separated into undisturbed yedoma landscapes (80 Pg C)81 and drained lake basins in the yedoma region that subsequently formed permafrost following lake drainage (refrozen thermokarst; 240 Pg C)24,81. Given the high ice contents of these yedoma-region soils81,82,83, both soil classes are assigned a high potential for the formation of new thermokarst lakes once rising temperatures have resulted in ground subsidence. Given the high volumetric ice contents of refrozen drained thermokarst lake basins (> 50%)81,83 in conjunction with its basin-type geomorphology, which favors water ponding16, AThaw assumes a maximum FTKLmax of 21% (11–27%, 68% range; Supplementary Fig. 4). Refrozen thermokarst basins in the yedoma region cover only about 4% of the permafrost domain of the Arctic, but they contribute 28% under RCP8.5 (38% under RCP4.5) to cumulative pan-arctic CH4TKL by 2100. The highest potential for new-lake formation is assumed for unaltered ice-rich yedoma soils, where volumetric segregated ice content is typically 47–53% and high wedge-ice volumes (~40%) further increase permafrost ice concentration81. Here AThaw assumes a FTKLmax of 33% (16–42%, 68% range; Supplementary Fig. 4). Considering that thermokarst activity in ice-rich regions had degraded about 80% of the landscape in specific regions during the Holocene24,81,84, we consider a factor two reduced lake-forming potential plausible, especially under the assumption of strong future warming. While undisturbed yedoma landscapes constitute our carbon pool with the smallest areal extent (covering 0.41 million km2, 2% of the permafrost domain)81, they contribute 9% under RCP8.5 (20% under RCP4.5) to cumulated pan-arctic CH4TKL by 2100, revealing the importance of carbon release from deep deposits beneath abruptly-formed yedoma thermokarst lakes.
We derived estimates of present-day abrupt-thaw emissions from AThaw and independently from upscaling observations. The estimated emission range from AThaw [20 (7–49) Tg C-CO2e yr−1] represents the median and 68% uncertainty range for years 2011–2017 (Supplementary Data 1). The observation-based estimate (19–58 Tg C-CO2e yr−1) was derived by upscaling observed lake carbon fluxes from abrupt-thaw features (Fig. 2b) to the extent of observed gross lake expansion areas (5–15%) among pan-arctic regions during the past 60 years21. This range of gross lake expansion is comparable to our observation of gross lake-area increase in northern and western Alaska (i.e., 1999–2014, 1.1–1.7% gross lake area increase upscaled to 5–7% assuming similar expansion/formation rates over the past 60 years; Supplementary Table 3, Fig. 3). We acknowledge that present-day emissions associated with abrupt thaw may be conservative since gross lake-area increases in some regions are higher (e.g., > 50% in Quebec85 and > 23% in West Siberia86), potentially due to hydrological changes in addition to permafrost thaw.
The formation/expansion of new thermokarst-lake areas and subsequent sub-lake talik growth is not the only mechanism of abrupt permafrost degradation making newly thawed permafrost carbon available for microbial decomposition. Further contribution comes from talik growth of present-day lakes which have not yet formed a deep talik and still store large amounts of labile carbon in sub-lake sediments. For instance, on the Alaska North Slope, Arp et al.17 demonstrated that a rapid decrease in lake-ice thickness and duration has already led to many shallow lakes transitioning from bed-ice fast lakes underlain by permafrost to floating ice lakes that have started to develop taliks. This talik formation takes place about 70 years before talik formation is projected for the adjacent terrestrial environment by top-down permafrost models in this cold continuous permafrost zone, a feedback process also not accounted for in AThaw or other models of permafrost degradation. These and other non-lake modes of abrupt thaw13, including coastal and river erosion, thermoerosional gully formation, thaw slumps, collapse of permafrost peat plateaus, and talik formation in upland terrestrial environments, which may occur sooner than predicted by large-scale models when finer resolution soil and vegetation properties are taken into account49, are not explicitly accounted for in the AThaw model description; hence, we consider our assumed FTKLmax values a conservative estimate of the abrupt thaw extent in the 21st century.
Uncertainty in AThaw modeled carbon fluxes is based on independent sampling of a set of 18 key model parameters which are subject to either observational or to model description uncertainty23 (Supplementary Table 1). For each warming scenario (RCP4.5 and RCP8.5), 500 ensemble runs were performed by applying a statistical Monte Carlo sampling and by assuming uniformity and independence in the distributions of model parameters and initial values. AThaw results are presented as the median and 68% uncertainty range. We acknowledge that our ability to accurately quantify uncertainties is limited given the use of this single model and its assumptions in a highly complex and large system.
To avoid double counting CLM4.5BGC emissions from land areas that become thermokarst lakes in AThaw, and to account only for the increase in emissions and CPCRE caused by abrupt thaw, we have subtracted from the AThaw emissions and CPCRE, in our total permafrost landscape calculations, the quantity of carbon emissions and associated radiative forcing already assumed to be emitted from those land surfaces from CLM4.5BGC. We used the AThaw thermokarst-lake area fraction at each time step for each of the four soil classes (Supplementary Fig. 4) and weighted those fractions by the areal extent of the soil classes according to Hugelius et al.80 and Strauss et al.81 based on the implicit assumption of homogenous soil carbon distribution within each of the soil classes. Our calculations consider that this fraction of the land surface, subject to gradual thaw in CLM4.5BGC, undergoes abrupt thaw instead.
We calculated the radiative forcing due to atmospheric perturbations in CH4 and CO2 concentration for CLM and AThaw permafrost-soil-carbon flux trajectories following Frolking & Roulet87 (Supplementary Methods). Methodology underlying our remote-sensing based quantification of abrupt thaw in Alaska and field-based estimates of carbon emissions from abruptly-formed thermokarst areas of lakes in Alaska and Siberia are also provided in Supplementary Methods. Field and lab measurements include bubble-trap observations of ebullition fluxes, aerial and ground-based ebullition seep-mapping, and quantification of CH4 and CO2 concentrations and radiocarbon dating.
To test differences between gradual thaw and abrupt thaw net ecosystem exchange (Fig. 2b) we used the two-sided Kolmogorov-Smirnov test. We used this test also to compare radiocarbon ages of permafrost soil carbon respiration in gradual thaw versus abrupt thaw environments (Fig. 2c) Radiocarbon statistical analysis was performed on percent modern carbon data. All statistical analyses were performed in R88.
CLM data are publicly available at the National Energy Research Scientific Computing Center archive (https://www.portal.nersc.gov/archive/home/c/cdkoven/www/clm45_permafrostsims/permafrostRCN_modeldata). AThaw data and calculated radiative forcing for CLM and AThaw fluxes presented in this study are available within the article’s supplementary information file (Supplementary Data 1). Radiocarbon data are provided in Supplementary Data 2. All other data that support the findings of this study are available from the corresponding author (K.M.W.A.) upon request.
Schuur, E. A. G. et al. Climate change and the permafrost carbon feedback. Nature 520, 171–179 (2015).
Osterkamp, T. E. Characteristics of the recent warming of permafrost in Alaska. J. Geophys. Res. 112, F02S02 (2007).
Romanovsky, V., Smith, S. & Christiansen, H. Permafrost thermal state in the polar Northern Hemisphere during the International Polar Year 2007–2009: a synthesis. Permafr. Periglac. 21, 106–116 (2010).
Brutsaert, W. & Hiyama, T. The determination of permafrost thawing trends from long-term streamflow measurements with an application in eastern Siberia. J. Geophys. Res. 117, 1984–2012 (2012).
Elberling, B. et al. Long-term CO2 production following permafrost thaw. Nat. Clim. Change 3, 890–894 (2013).
Schaefer, K., Lantuit, H., Romanovsky, V. E., Schuur, E. A. G. & Witt, R. The impact of the permafrost carbon feedback on global climate. Environ. Res. Lett. 9, 085003 (2014).
Koven, C. D., Lawrence, D. M. & Riley, W. J. Permafrost carbon-climate feedback is sensitive to deep soil carbon decomposability but not deep soil nitrogen dynamics. PNAS 112, 3752–3757 (2015).
Koven, C. D. et al. A simplified, data-constrained approach to estimate the permafrost carbon–climate feedback. Phil. Trans. R. Soc. A. 373, https://doi.org/10.1098/rsta.2014.0423 (2015).
Burke, E. J. et al. Quantifying uncertainties of permafrost carbon-climate feedbacks. Biogeosci. 14, 3051–3066 (2017).
McGuire, D. A. et al. Dependence of the evolution of carbon dynamics in the northern permafrost region on the trajectory of climate change. PNAS, https://doi.org/10.1073/pnas.1719903115 (2018).
Alexander, L. V. et al. IPCC in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Stocker, T. F. et al.) 1535 (Cambridge Univ. Press, Cambridge, 2013).
Myhre, G. et al. In Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker, T. F. et al.) (Cambridge University Press: Cambridge, UK and New York, NY, USA, 2013).
Olefeldt, D. et al. Circumpolar distribution and carbon storage of thermokarst landscapes. Nat. Commun. 7, https://doi.org/10.1038/ncomms13043 (2016).
Jorgenson, M. T., Shur, Y. L., & Pullman, E. R. Abrupt increase in permafrost degradation in Arctic Alaska. Geophys. Res. Lett. 33, https://doi.org/10.1029/2005GL024960 (2006).
Liljedahl, A. K. et al. Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology. Nat. Geosci. 9, 312–318 (2016).
Kessler, M. A., Plug, L., & Walter Anthony, K. Simulating the decadal to millennial scale dynamics of morphology and sequestered carbon mobilization of two thermokarst lakes in N.W. Alaska. J. Geophys. Res. Biogeosci. 117, https://doi.org/10.1029/2011JG001796 (2012).
Arp, C. D. et al. Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate. Geophys. Res. Lett. 43, 6358–6365 (2016).
Langer, M. et al. Rapid degradation of permafrost underneath waterbodies in tundra landscapes—toward a representation of thermokarst in land surface models. JGR Earth Surf. 121, 2446–2470 (2016).
Roy‐Leveillee, P. & Burn, C. R. Near‐shore talik development beneath shallow water in expanding thermokarst lakes, Old Crow Flats, Yukon. JGR Earth Surf. 122, 1070–1089 (2017).
Zimov, S. A. et al. North Siberian lakes: a methane source fueled by Pleistocene carbon. Science 277, 800–802 (1997).
Walter Anthony, K. M. et al. Methane emission proportional to permafrost carbon thawed in Arctic lakes since the 1950s. Nat. Geosci. 9, 679–682 (2016).
Klapstein, S. J. et al. Controls on methane released through ebullition in peatlands affected by permafrost degradation. J. Geophys. Res. Biogeosci 119, 418–431 (2014).
Schneider von Deimling, T. et al. Observation-based modelling of permafrost carbon fluxes with accounting for deep carbon deposits and thermokarst activity. Biogeosci 12, 3469–3488 (2015).
Walter Anthony, K. M. et al. A shift of thermokarst lakes from carbon sources to sinks during the Holocene epoch. Nature 511, 452–456 (2014).
McGuire, A. D. et al. Sensitivity of the carbon cycle in the Arctic to climate change. Ecol. Monogr. 79, 523–555 (2009).
Schuur, E. A. G. et al. The effect of permafrost thaw on old carbon release and net carbon exchange from tundra. Nature https://doi.org/10.1038/nature08031 (2009).
Hicks Pries, C., Schuur, E. A. G., Natali, S. M., & Crummer, K. G. Old soil carbon losses increase with ecosystem respiration in experimentally thawed tundra. Nat. Clim. Change https://doi.org/10.1038/NCLIMATE2830 (2015).
Lupascu, M. et al. High Arctic wetting reduces permafrost carbon feedbacks to climate warming. Nat. Clim. Change 4, 51–55 (2014).
Walter, K. M., Edwards, M. E., Grosse, G., Zimov, S. A. & Chapin, F. S. Thermokarst lakes as a source of atmospheric methane during the last deglaciation. Science 318, 633–636 (2007).
AMAP. AMAP Assessment 2015: methane as an Arctic climate forcer. Arctic Monitoring and Assessment Programme (AMAP), Oslo, Norway. vii+139 pp (2015).
Jones, B. M. et al. Modern thermokarst lake dynamics in the continuous permafrost zone, northern Seward Peninsula, Alaska. J. Geophys. Res. Biogeosci. 116, G00M03 (2011).
Carroll, M. L., Townshend, J. R. G., DiMiceli, C. M., Loboda, T. & Sohlberg, R. A. Shrinking lakes of the Arctic: spatial relationships and trajectory of change. Geophys. Res. Lett. 38, L20406 (2011).
Sannel, A. B. K. & Kuhry, P. Warming-induced destabilization of peat plateau/thermokarst lake complexes. J. Geophys. Res. 116, https://doi.org/10.1029/2010JG001635 (2011).
Chen, M., Rowland, J. C., Wilson, C. J., Altmann, G. L. & Brumby, S. P. Temporal and spatial pattern of thermokarst lake area changes at Yukon Flats, Alaska. Hydrol. Process. 28, 837–852 (2014).
Jorgenson, M. T. et al. Resilience and vulnerability of permafrost to climate change. Can. J. For. Res. 40, 1219–1236 (2010).
Grosse, G., Jones, B. & Arp, C. In Treatise on Geomorphology Vol. 8 (ed. Shroder, J. F.) 325–353 (Academic Press, San Diego, 2013).
Kaufman, D. et al. Holocene thermal maximum in the western Arctic (0-180oW). Quat. Sci. Rev. 23, 529–560 (2004).
Romanovsky, V. et al. In Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 65–102 (Arctic Monitoring Assessment Programme (AMAP), Oslo, Norway, 2017).
Necsoiu, M., Dinwiddie, C. L., Walter, G. R., Larsen, A., & Stothoff, S. A. Multitemporal image analysis of historical aerial photographs and recent satellite imagery reveals evolution of water body surface area and polygonal terrain morphology in Kobuk Valley National Park, Alaska. Environ. Res. Lett. 8., https://doi.org/10.1088/1748-9326/8/2/025007 (2013).
Shur. Y., & Osterkamp, T. E. Thermokarst. Report No. INE0611, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA (2007).
Raynolds, M. K. et al. Cumulative geoecological effects of 62 years of infrastructure and climate change in ice-rich permafrost landscapes, Prudhoe Bay Oilfield, Alaska. Glob. Change Biol. 20, 1211–1224 (2014).
Marsicek, J., Shuman, B. N., Bartlein, P. J., Shafer, S. L. & Brewer, S. Reconciling divergent trends and millennial variations in Holocene temperatures. Nature 554, 92–96 (2018).
van Huissteden, J. et al. Methane emissions from permafrost thaw lakes limited by lake drainage. Nat. Clim. Change 1, 119–123 (2011).
Tan, Z. & Zhuang, Q. Methane emissions from pan-Arctic lakes during the 21st century: An analysis with process-based models of lake evolution and biogeochemistry. J. Geophys. Res. Biogeosci 120, 2641–2653 (2015).
Smith, L. C., Sheng, Y., MacDonald, G. M. & Hinzman, L. D. Disappearing arctic lakes. Science 308, 1429–1429 (2005).
Lawrence, D. M., Koven, C. D., Swenson, S. C., Riley, W. J. & Slater, A. G. Permafrost thaw and resulting soil moisture changes regulate projected high-latitude CO2 and CH4 emission. ERL 10, https://doi.org/10.1088/1748-9326/10/9/094011 (2015).
Lupascu, M., Welker, J. M., Xu, X. & Czimczik, C. I. Rates and radiocarbon content of summer ecosystem respiration in response to long-term deeper snow in the High Arctic of NW Greenland. J. Geophys. Res. Biogeosci. 119, 1180–1194 (2014).
Heslop, J. K. et al. Thermokarst-lake methane production potentials along a full talik profile. Biogeosciences 12, 4317–4331 (2015).
Nicolsky, D. J., Romanovsky, V. E., Panda, S. K., Marchenko, S. S. & Muskett, R. R. Applicability of the ecosystem type approach to model permafrost dynamics across the Alaska North Slope. J. Geophys. Res. Earth Surf. 121, https://doi.org/10.1002/2016JF003852 (2016).
Lassey, K. R., Lowe, D. C. & Smith, A. M. The atmospheric cycling of radiomethane and the “fossil fraction” of the methane source. Atmos. Chem. Phys. 7, 2141–2149 (2007).
Lique, C., Holland, M. M., Dibike, Y. B., Lawrence, D. M. & Screen, J. A. Modeling the Arctic freshwater system and its integration in the global system: lessons learned and future challenges. J. Geophys. Res. Biogeosci. 121, https://doi.org/10.1002/2015JG003120 (2016).
Morgenstern, A., Grosse, G., Guenther, F. & Schirrmeister, L. Spatial analyses of thermokarst lakes and basins in Yedoma landscapes of the Lena Delta. Cryosph 5, 849–867 (2011).
Jones, B. & Arp, C. Observing a catastrophic thermokarst lake drainage in northern Alaska. Permafr. Periglac. Process 26, 119–128 (2015).
Yoshikawa, K. & Hinzman, L. D. Shrinking thermokarst ponds and groundwater dynamics in discontinuous permafrost near Council, Alaska. Permafr. Periglac. Process 14, 151–160 (2003).
Zona, D. et al. Characterization of the carbon fluxes of a vegetated drained lake basin chronosequence in the Alaskan Arctic Coastal Plain. Glob. Change Biol. 16, 1870–1882 (2010).
Zona, D. et al. Cold season emissions dominate the Arctic tundra methane budget. PNAS 113, 40–45 (2016).
Whalen, S. C. & Reeburgh, W. S. Moisture and temperature sensitivity of CH4 oxidation in boreal soils. Soil. Biol. Biochem. 28, 1271–1281 (1996).
Sepulveda-Jauregui, A. et al. Eutrophication exacerbates the impact of climate warming on lake methane emission. STOTEN 636, 411–419 (2018).
Yvon-Durocher., G. et al. Methane fluxes show consistent temperature dependence across microbial to ecosystem scales. Nature 507, 488–491 (2014).
Saunois, M. et al. The global methane budget: 2000–2012. Earth Syst. Sci. Data Discuss. 8, 81–54 (2016).
Fuss, S. et al. Betting on negative emissions. Nat. Clim. Change 4, 850–853 (2014).
Le Quéré, C. et al. Global carbon budget 2016. Earth Syst. Sci. Data 8, 605–649 (2016).
van Huissteden, J. & Dolman, A. J. Soil carbon in the Arctic and the permafrost carbon feedback. Curr. Opin. Env. Sust. 4, 545–551 (2012).
Jones, M. C., Grosse, G., Jones, B. M. & Walter Anthony, K. M. Peat accumulation in a thermokarst-affected landscape in continuous ice-rich permafrost, Seward Peninsula, Alaska. J. Geophys. Res. 117, G00M07 (2012).
Sturtevant, C. S. & Oechel, W. C. Spatial variation in landscape-level CO2 and CH4 fluxes from arctic coastal tundra: influence from vegetation, wetness, and the thaw lake cycle. Glob. Change Biol. 19, 2853–2866 (2013).
Lee, H., Swenson, S. C., Slater, A. G., & Lawrence, D. M. Effects of excess ground ice on projections of permafrost in a warming climate. Environ. Res. Lett. 9 https://doi.org/10.1088/1748-9326/9/12/124006 (2014).
Mann, D., Groves, P., Reanier, R. E. & Kunz, M. L. Floodplains, permafrost, cottonwood trees, and peat: What happened last time climate warmed suddenly in arctic Alaska? Quat. Sci. Rev. 29, 3812–3830 (2010).
Velichko, A. A. et al. Climate changes in East Europe and Siberia at the Late glacial–holocene transition. Quat. Int 91, 75–99 (2002).
Marcott, S. A., Shakun, J. D., Clark, P. U. & Mix, A. C. A reconstruction of regional and global temperature for the past 11,300 years. Science 339, 1198–1201 (2013).
Brosius, L. S. et al. Using the deuterium isotope composition of permafrost meltwater to constrain thermokarst lake contributions to atmospheric methane during the last deglaciation. J. Geophys. Res. Biogeosci 117, G01022 (2012).
Burn, C. R. & Kokelj, S. V. The environment and permafrost of the Mackenzie Delta area. Permafr. Periglac. Process 20, 83–105 (2009).
Jorgenson, M. T. & Shur, Y. Evolution of lakes and basins in northern Alaska and discussion of the thaw lake cycle. J. Geophys. Res. 112, F02S17 (2007).
Hinkel, K. M. et al. Thermokarst lakes on the Arctic coastal plain of Alaska: geomorphic controls on bathymetry.Permafr. Periglac. Process 23, 218–230 (2012).
Kanevskiy, M. et al. Cryostratigraphy and permafrost evolution in the lacustrine lowlands of west-central Alaska. Permafr. Periglac. Process 25, 14–34 (2014).
Edwards, M., Grosse, G., Jones, B. M. & McDowell, P. The evolution of a thermokarst-lake landscape: late quaternary permafrost degradation and stabilization in interior Alaska. Sediment. Geol. 340, 3–14 (2016).
Burn, C. R., & Smith, M. W. Development of thermokarst lakes during the Holocene at sites near Mayo, Yukon Territory. Permafr. Periglac. Process 1, 161–175 (1990).
Arp, C. D., & Jones, B. M. Geography of Alaska lake districts: identification, description, and analysis of lake-rich regions of a diverse and dynamic state. U.S. Geological Survey Scientific Investigations Report 2008-5215, 40 (2009).
Rowland, J. C., Travis, B. J. & Wilson, C. J. The role of advective heat transport in talik development beneath lakes and ponds in discontinuous permafrost. Geophys. Res. Lett. 38, L17504 (2011).
Westermann, S. et al. Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3. Geosci. Model Dev. 9, 523–546 (2016).
Hugelius, G. et al. Estimated stocks of circumpolar permafrost carbon with quantified uncertainty ranges and identified data gaps. Biogeosci. 11, 6573–6593 (2014).
Strauss, J. et al. The deep permafrost carbon pool of the Yedoma region in Siberia and Alaska. Geophys. Res. Lett. 40, 6165–6170 (2013).
Zimov, S. A., Schuur, E. A. G. & Chapin, F. S. Permafrost and the global carbon budget. Science 312, 1612–1613 (2006).
Kanevskiy, M. et al. Ground ice in the upper permafrost of the Beaufort Sea coast of Alaska. Cold Reg. Sci. Tech. 85, 56–70 (2013).
Grosse, G. et al. Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in East and Central Siberia, Russia. USGS Open-file Rep. 2013–1078 (2013).
Payette, S., Delwaide, A., Caccianiga, M. & Beauchemin, M. Accelerated thawing of subarctic peatland permafrost over the last 50 years. Geophys. Res. Lett. 31, L18208 (2004).
Karlsson, J. M., Lyon, S. W. & Destouni, G. Thermokarst lake, hydrological flow and water balance indicators of permafrost change in Western Siberia. J. Hydrol. 464, 465, 459–466 (2012).
Frolking, S. & Roulet, N. T. Holocene radiative forcing impact of northern peatland carbon accumulation and methane emissions. Glob. Change Biol. 13, 1079–1088 (2007).
Development Core Team. R: A Language and Environment for Statistical Computing http://www.R-project.org (R Foundation for Statistical Computing, 2009).
Charles Koven provided data from the Community Land Model, version 4.5 (CLM4.5BGC). Geographic Information Network of Alaska (GINA) provided historical airborne images and orthomosaicked SPOT images. Landsat data was provided through USGS EROS Data Center. Jessie Cherry helped with the aerial image acquisition of ice-covered lakes. Lisa Wirth rectified historical airborne images. Kerstin Schlobies mosaicked recent airborne ice-covered lake images. Burke Minsley created EM1DFM resistivity models. Melanie Engram, Allen Bondurant, and Joanne Heslop helped with field work. C. Koven, David Lawrence, and Dave McGuire provided constructive comments on the manuscript. This work was supported by NSF ARCSS 1500931, NSF ARC-1304823, NASA ABoVE NNX15AU49A, and NASA ABoVE 1572960. G.G., I.N. and T.S.v.D. were supported by ERC #338335, HGF ERC-0013, and ESA GlobPermafrost. T.S.v.D. was further supported by BMBF #03G0836C and BMBF #01LN1709A. S.F. was supported by DOE grants DE-SC0010580 and DE-SC0016440.
The authors declare no competing interests.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Walter Anthony, K., Schneider von Deimling, T., Nitze, I. et al. 21st-century modeled permafrost carbon emissions accelerated by abrupt thaw beneath lakes. Nat Commun 9, 3262 (2018). https://doi.org/10.1038/s41467-018-05738-9
This article is cited by
Dissolved organic matter from surface and pore waters of a discontinuous permafrost watershed in central Alaska reveals both compositional and seasonal heterogeneity
Aquatic Sciences (2023)
Nature Communications (2022)
Nature Reviews Earth & Environment (2022)
Nature Reviews Earth & Environment (2022)
Nature Geoscience (2022)