Pier Paul Overduin’s research while affiliated with Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research and other places

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Publications (109)


(a) Overview of the Lena River watershed, delineated by the red line. Gray colors show the topography, while blue colors show rivers, lakes, and seas. (b) Satellite image (Landsat-5, 7, and 8 imagery courtesy of the US Geological Survey, multiyear mosaic, edited in Google Earth Engine) of the Lena River delta with the sampling location on Samoylov Island.
ERA5-Land monthly mean air temperature and total precipitation for the Lena River catchment. Lines show the air temperatures, with the light-gray area indicating the minimum–maximum range of all years from 1950 to 2022. Precipitation is shown by violins, with the width of the violin indicating the occurrence frequency within the years from 1950 to 2022. The years 2018 to 2022 are highlighted using color-coded lines (temperature) and squares in the violins (precipitation). Data source: ERA5. Credit: Copernicus Climate Change Service/ECMWF.
Discharge of the Lena River for all years from 1937 to 2022 (thin black lines) measured at Kyusyur. The years 2018 to 2022 are highlighted using different colors. The gray area shows the absolute minimum and maximum for each day from 1937 to 2022. The inset figure (top left) shows the annual discharge fluxes.
Time series of (a) discharge measured at Kyusyur and (b) river water temperature and (c) EC. Gray areas indicate the ice-free periods. Dashed black lines separate sample sets and indicate a change in the measurement protocol and method (see Table 1). For comparison, we added temperature data sampled by the ArcticGRO program (blue squares in panel b).
Time series of (a) δ18O, (b) δD, and (c) d-excess. The scatterplot in panel (d) shows the relationship between δ18O and δD for the Lena River, where samples measured at the Alfred Wegener Institute are indicated by a black outline and samples measured at the Melnikov Permafrost Institute are shown using a green outline. The linear regression is shown by the solid red line; the dashed blue line shows the Global Meteoric Water Line after Craig (1961).

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Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program
  • Article
  • Full-text available

January 2025

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181 Reads

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Anne Morgenstern

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[...]

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Pier Paul Overduin

The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by permafrost. Baseline discharge biogeochemistry data are necessary to understand present and future changes in land-to-ocean fluxes. Here, we present a high-frequency 4.5-year-long dataset from a sampling program of the Lena River's biogeochemistry, spanning April 2018 to August 2022. The dataset comprises 587 sampling events and measurements of various parameters, including water temperature, electrical conductivity, stable oxygen and hydrogen isotopes, dissolved organic carbon concentration and ¹⁴C, colored and fluorescent dissolved organic matter, dissolved inorganic and total nutrients, and dissolved elemental and ion concentrations. Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. The data are available as a collection of datasets separated by parameter groups and periods at https://doi.org/10.1594/PANGAEA.913197 (Juhls et al., 2020b). To our knowledge, this dataset provides an unprecedented temporal resolution of an Arctic river's biogeochemistry. This makes it a unique baseline on which future environmental changes, including changes in river hydrology, at temporal scales from precipitation event to seasonal to interannual can be detected.

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Developments in Permafrost Science and Engineering in Response to Climate Warming in Circumpolar and High Mountain Regions, 2019–2024

December 2024

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314 Reads

Permafrost and Periglacial Processes

Research in geocryology is currently principally concerned with the effects of climate change on permafrost terrain. The motivations for most of the research are (1) quantification of the anticipated net emissions of CO 2 and CH 4 from warming and thaw of near‐surface permafrost and (2) mitigation of effects on infrastructure of such warming and thaw. Some of the effects, such as increases in ground temperature or active‐layer thickness, have been observed for several decades. Landforms that are sensitive to creep deformation are moving more quickly as a result, and Rock Glacier Velocity is now part of the Essential Climate Variable Permafrost of the Global Climate Observing System. Other effects, for example, the occurrence of physical disturbances associated with thawing permafrost, particularly the development of thaw slumps, have noticeably increased since 2010. Still, others, such as erosion of sedimentary permafrost coasts, have accelerated. Geochemical effects in groundwater from trace elements, including contaminants, and those that issue from the release of sediment particles during mass wasting have become evident since 2020. Net release of CO 2 and CH 4 from thawing permafrost is anticipated within two decades and, worldwide, may reach emissions that are equivalent to a large industrial economy. The most immediate local concerns are for waste disposal pits that were constructed on the premise that permafrost would be an effective and permanent containment medium. This assumption is no longer valid at many contaminated sites. The role of ground ice in conditioning responses to changes in the thermal or hydrological regimes of permafrost has re‐emphasized the importance of regional conditions, particularly landscape history, when applying research results to practical problems.


Permafrost thaw subsidence, sea-level rise, and erosion are transforming Alaska's Arctic coastal zone

December 2024

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87 Reads

Proceedings of the National Academy of Sciences

Arctic shorelines are vulnerable to climate change impacts as sea level rises, permafrost thaws, storms intensify, and sea ice thins. Seventy-five years of aerial and satellite observations have established coastal erosion as an increasing Arctic hazard. However, other hazards at play—for instance, the cumulative impact that sea-level rise and permafrost thaw subsidence will have on permafrost shorelines—have received less attention, preventing assessments of these processes’ impacts compared to and combined with coastal erosion. Alaska’s Arctic Coastal Plain (ACP) is ideal for such assessments because of the high-density observations of topography, coastal retreat rates, and permafrost characteristics, and importance to Indigenous communities and oilfield infrastructure. Here, we produce 21st-century projections of Arctic shoreline position that include erosion, permafrost subsidence, and sea-level rise. Focusing on the ACP, we merge 5 m topography, satellite-derived coastal lake depth estimates, and empirical assessments of land subsidence due to permafrost thaw with projections of coastal erosion and sea-level rise for medium and high emissions scenarios from the Intergovernmental Panel on Climate Change’s AR6 Report. We find that by 2100, erosion and inundation will together transform the ACP, leading to 6-8x more land loss than coastal erosion alone and disturbing 8-11x more organic carbon. Without mitigating measures, by 2100, coastal change could damage 40 to 65% of infrastructure in present-day ACP coastal villages and 10 to 20% of oilfield infrastructure. Our findings highlight the risks that compounding climate hazards pose to coastal communities and underscore the need for adaptive planning for Arctic coastlines in the 21st century.


The Lena River catchment
Sampling location (Samoylov Island; red star) at the outlet of the Lena River catchment comprising four major sub-catchments, with contribution to annual streamflow for the Upper Lena (42%), the Aldan (30%), the Vilui (9%), and the Lower Lena (19%) catchments²⁰ with digital elevation model of the Lena catchment (GEBCO Grid).
One-year chemical monitoring of the Lena River water
Between 20th April 2018 and 28th March 2019 (A, M, J, J, A, S, O, N, D, J, F, M: months from April until March) at Samoylov station including the open water period (blue area) and the ice-covered period: (a) Discharge close to Samoylov station for the Lena catchment (Roshydromet⁴²); (b) Ge/Si ratio ( ± SD); (c) Si isotope composition ( ± SD); (d) SUVA values (Y-axis reverted) and dissolved NH4 concentrations¹⁵.
Winter chemical monitoring of the Lena River water
Between 15th October 2018 and 31th March 2019 (O, N, D, J, F, M: months from October until March): (a) Air temperature for the whole Lena catchment, with shaded areas for the colder winter phases with air temperature < −30 °C (ERA5-Land⁴¹); (b) Discharge (dashed line; Roshydromet⁴²) and water temperature (dotted line) at Samoylov station¹⁵; (c) Ice thickness measurement (dots; Roshydromet⁴²) and modeled ice growth rate (full line) at Samoylov station (see Methods); (d) Dissolved Si isotope composition ( ± SD) and Ge/Si ratio ( ± SD) at Samoylov station, (e) SUVA values (Y-axis reverted) and NH4 concentration at Samoylov station¹⁵.
Processes leading to the formation of microzones in river ice
Longer reaction time for solutes in the water column under river ice cover (red arrows). A: Flow; B: Stable ice cover; C: Frazil produced in supercooled water (T < 0 °C); D: Turbulent flow entrains frazil in flow; E: Frazil agglomerates; F: Frazil tends to accumulate at slope transitions; G: Frazil sticks to bed matter to form anchor ice; H: Microzones with longer reaction time for winter biogeochemical processes in the water column; I: Water with longer time in the water column (heavy Si isotope composition, high Ge/Si) and amorphous silica precipitates (light Si isotope composition, low Ge/Si). Graphical design by Y. Nowak.
Frazil ice changes winter biogeochemical processes in the Lena River

November 2024

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40 Reads

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1 Citation

The ice-covered period of large Arctic rivers is shortening. To what extent will this affect biogeochemical processing of nutrients? Here we reveal, with silicon isotopes (δ³⁰Si), a key winter pathway for nutrients under river ice. During colder winter phases in the Lena River catchment, conditions are met for frazil ice accumulation, which creates microzones. These are conducive to a lengthened reaction time for biogeochemical processes under ice. The heavier δ³⁰Si values (3.5 ± 0.5 ‰) in river water reflect that 39 ± 11% of the Lena River discharge went through these microzones. Freezing-driven amorphous silica precipitation concomitant to increased ammonium concentration and changes in dissolved organic carbon aromaticity in Lena River water support microbially mediated processing of nutrients in the microzones. Upon warming, suppressing loci for winter intra-river nitrogen processing is likely to modify the balance between N2O production and consumption, a greenhouse gas with a large global warming potential.


Passive Seismology: Lightweight and Rapid Detection of Arctic Subsea and Sub‐Aquatic Permafrost

September 2024

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91 Reads

Low sea levels during the last Ice Age exposed millions of square kilometers of Arctic shelves which have been subsequently submerged, creating subsea permafrost. In onshore settings, permafrost can also exist beneath water bodies such as coastal lagoons, rivers, and thermokarst lakes. We explored passive seismology as a method for mapping unfrozen sediment thickness above subsea and sub‐aquatic permafrost. We present passive seismic data collected with the Mobile Ocean Bottom Seismic Instrument (MOBSI) from the Beaufort Sea near Tuktoyaktuk in Canada, Ivashkina Lagoon on the Bykovsky Peninsula, as well as a lake and river in the Lena Delta, Siberia, Russia. We use borehole data and frost probe measurements to identify permafrost‐related H/V measurement peaks and calibrate shear wave velocities for frequency‐to‐depth conversion. We employ the shortest path and maximum signal amplitude to connect peaks and generate geological profiles. The MOBSI detected the ice‐bonded permafrost table beneath the Beaufort Sea, as well as beneath a Siberian lake and lagoon. At Tuktoyaktuk, an ocean bottom seismometer revealed a 5% scatter about the peak frequency for three‐minute time windows and over 8 hr of recording time. With peak frequencies ranging from 4.9 ± 0.2 Hz to 27.6 ± 1.4 Hz, the depth to subsea permafrost ranged from 1.4 ± 0.1 m bsl at the shoreline to 14.0 ± 0.4 m bsl 240 m offshore. Given an accurate shear wave velocity, our findings highlight that MOBSI deployment times as short as 3 min are adequate for detecting Arctic subsea and sub‐aquatic permafrost.


Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program

July 2024

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253 Reads

The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by permafrost. Baseline discharge biogeochemistry data is necessary to understand present and future changes in land-to-ocean fluxes. Here, we present a high-frequency, 4.5-year-long dataset from a sampling program of the Lena River’s biogeochemistry, spanning April 2018 to August 2022. The dataset comprises 587 sampling events and measurements of various parameters, including water temperature, electrical conductivity, stable oxygen and hydrogen isotopes, dissolved organic carbon concentration and 14C, coloured and fluorescent dissolved organic matter, dissolved inorganic and total nutrients, and dissolved elemental and ion concentrations. Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. The data is available as a collection of datasets separated by parameter groups and periods at https://doi.org/10.1594/PANGAEA.913197 (Juhls et al., 2020b). To our knowledge, this dataset provides an unprecedented temporal resolution of an Arctic river’s biogeochemistry. This makes it a unique baseline on which future environmental changes, including changes in river hydrology, at temporal scales from precipitation event to seasonal to interannual, can be detected.


Drivers of winter ice formation on Arctic water bodies in the Lena Delta, Siberia

June 2024

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39 Reads

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3 Citations

Arctic landscapes are characterized by diverse water bodies, which are covered with ice for most of the year. Ice controls surface albedo, hydrological properties, gas exchange, and ecosystem services, but freezing processes differ between water bodies. We studied the influence of geomor- phology and meteorology on winter ice of water bodies in the Lena Delta, Siberia. Electrical conductivity (EC) and stable water isotopes of ice cores from four winters and six water bodies were measured at unprecedented resolution down to 2-cm increments, revealing differences in freezing systems. Open-system freezing shows near-constant isotopic and EC gradients in ice, whereas closed-system freezing shows decreasing isotopic composition with depth. Lena River ice displays three zones of isotopic composition within the ice, reflecting open-system freezing that records changing water sources over the winter. The isotope composition of ice covers in landscape units of different ages also reflects the individual water reservoir settings (i.e., Pleistocene vs. Holocene ground ice thaw). Ice growth models indicate that snow properties are a dominant determinant of ice growth over winter. Our findings provide novel insights into the winter hydrochemistry of Arctic ice covers, including the influences of meteorology and water body geomorphology on freezing rates and processes.


(a) A technical drawing of the head of the temperature lance. A string of 15 nodes is housed inside the lance, with copper cylinders protruding the stainless steel body, coupling the temperature sensors with their surroundings. Two temperature sensors are mounted on each node; on two nodes (at the top and in the middle of the lance), an additional accelerometer is mounted. (b) The temperature lance assembled with one carbon fiber extension for deployment in up to 1.5 m deep water and connected by a waterproof cable to the logger unit.
(a) Temperature over time after the beginning of the measurement at Tvillingvatnet, Svalbard, for all sensors. The shade of blue indicates the depth of the sensor in the sediment, with lighter shades at the water–sediment interface and darker shades towards a 1.5 m depth in the sediment. Measurements were taken every 60 s. The 14 highlighted points in time (+) indicate the timing of the time periods for which we employed the inversion algorithm. (b) Maximum temperature difference over all sensors for results at different times after the beginning of the measurement. The mean over three measurements after 12 h is assumed to be the in situ temperature – i.e., the reference temperature that the results are compared to. The results from the inversion algorithm are shown in pink circles, the means over three measurements are shown in blue crosses, and the dotted line indicates the sensor accuracy of 0.01 °C.
Temperature–depth profiles grouped by investigation sites. The map shows all locations in teal diamonds and, additionally, the drinking-water lake of the long-term measurement as a circle. Map data are from https://www.openstreetmap.org/copyright (last access: 6 April 2024). (a) Measurements below the Arctic Ocean at Tuktoyaktuk Island, NWT, Canada. Measurements were taken from a wading position in the water in September 2021. (b) Measurements at Brandalaguna, Svalbard, were taken through an ≈60 cm ice cover in March 2021. (c) Measurements at Swiss Cheese Lake in the outer Mackenzie River Delta, NWT, Canada, were taken from a small rubber boat in September 2021. (d) Measurements at Lake 3, near the Inuvik–Tuktoyaktuk Highway, NWT, Canada, were taken from a small rubber boat in September 2021. Brandalaguna and Tuktoyaktuk Island have brackish water, while the other two are freshwater lakes. The shades of blue indicate water depth, and the scale is the same over all sites. We measured in water as deep as 2.5 m (at Swiss Cheese Lake), but the color scale is cropped to 1 m to better distinguish between shallower values.
Brief communication: Testing a portable Bullard-type temperature lance confirms highly spatially heterogeneous sediment temperatures under shallow bodies of water in the Arctic

May 2024

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10 Reads

The thermal regime in the sediment column below shallow bodies of water in Arctic permafrost controls benthic habitats and permafrost stability. We present a robust, portable device that measures detailed temperature–depth profiles of the near-surface sediments in less than 1 h. Test campaigns in the Canadian Arctic and on Svalbard have demonstrated its utility in a range of environments during winter and summer. Measured temperatures were spatially heterogeneous, even within single bodies of water. We observed the broadest temperature range in water less than 1 m deep, a zone that is not captured by single measurements in deeper water.


Permafrost thaw subsidence, sea-level rise, and erosion are transforming Alaska’s Arctic coastal zone

May 2024

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71 Reads

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1 Citation

Climate warming is causing rapid coastal change in the Arctic. Permafrost thaw subsidence, sea-level rise, and erosion each threaten the Arctic nearshore. These agents of change have received unequal attention and their compound impact remains poorly understood. Alaska's Arctic Coastal Plain (ACP) is ideal for addressing this knowledge gap due to the region’s relatively abundant observational data and importance to Indigenous communities, socioeconomics, and geopolitics. We present the first projections of 21st century ACP evolution that include subsidence, sea-level rise, and erosion. By 2100, 6-8x more land will be transformed by these compound effects than erosion alone would impact. Our findings underscore that coastal communities may need to consider a paradigm shift in how they adapt to 21st century Arctic coastal change.


Citations (59)


... (Fig. 3b). Support for frazil ice formation is provided by the difference in δ 18 O in river water between the outlet of the catchment (Samoylov) and about 800 km upstream (Zhigansk) 17 (see Methods; Supplementary Fig. 2). The comparison highlights that between November 2018 and February 2019, downstream water from Samoylov present heavier δ 18 O values than upstream water from Zhigansk 17 . ...

Reference:

Frazil ice changes winter biogeochemical processes in the Lena River
Drivers of winter ice formation on Arctic water bodies in the Lena Delta, Siberia

... Rapid inundation may insulate permafrost from increasingly high Arctic summer temperatures that, by season's end, are degrading Pleistocene permafrost-a process that causes landscape-scale subsidence (18). This insulating e ect will lessen, however, as mean annual Arctic Ocean bottom tempera-D tures exceed 0 ¶ C-which they are projected to do throughout the Arctic by mid-century-and subsea permafrost thaws rapidly from above (41). Inundation could also change the fate of OC by shifting redox conditions: eroded material is likely to degrade faster under aerobic conditions in the water column, whereas inundated material could degrade more slowly under anaerobic conditions in the subsurface. ...

Glacial isostatic adjustment reduces past and future Arctic subsea permafrost

... ERA5-Land reanalysis data along with the perennial monitoring data at Tiksi and Kyusyur weather stations show a significant change in air temperature and solar radiation which have occurred at the beginning of the 21 century. According to (Chalov et al., 2023) air temperatures in the Lena Delta increased significantly (p-value < 0.05) (Fig. 8a). An increase in warming rate was observed between the periods 1950-1999 and 2000-2021, i.e., the most significant increase in air temperature occurred in the last 20-year period. ...

Climate change impacts on streamflow, sediment load and carbon fluxes in the Lena River delta

Ecological Indicators

... The maps accompanying this paper indicate significant improvements to databases concerning several aspects of the permafrost environment and our computational capacity to manage and process such data. A wide-ranging set of new maps is presented in the Arctic Permafrost Atlas [8]. ...

Arctic Permafrost Atlas

... A relevant example of this is shifts in hydrologic pathways due to climate change and permafrost thaw (Prokushkin et al., 2019), which may affect organic matter (OM) quality but not discharge (Frey and Smith, 2005). In addition, higherfrequency or even continuous in situ measurements (e.g., Castro-Morales et al., 2022) will create new opportunities to validate remotely sensed data (El Kassar et al., 2023) or model results (e.g., Rawlins and Karmalkar, 2024) and to potentially upscale data spatially. The biogeochemistry of a river is impacted by the environmental processes of its entire upstream catchment and may therefore reflect changes across a range of scales (Holmes et al., 2012). ...

Optical remote sensing (Sentinel-3 OLCI) used to monitor dissolved organic carbon in the Lena River, Russia

... Similar to prior findings from the Bykovsky Peninsula in Siberia (Yang et al., 2023), our statistical analysis showed significantly lower CH 4 concentrations in thermokarst lagoons (former lakes breached by the sea) compared to thermokarst lakes that have a median CH 4 concentration more than 11-times higher than in lagoons. For lake and lagoon ice core samples from 375 Bykovsky Peninsula, Spangenberg et al. (2021) found similar conditions with a mean CH 4 concentration that is 11-times higher in a thermokarst lake than in a neighboring thermokarst lagoon. ...

Microbial methane cycling in sediments of Arctic thermokarst lagoons
  • Citing Article
  • February 2023

Global Change Biology

... Therefore, the sharp lateral resistivity transition we observe could also be representative of a saline permafrost to buried glacial ice boundary. To determine whether there is a masking effect by highly saline and thawed surface sediment as demonstrated by Arboleda-Zapata et al. (2022) or if there is a geological structure with highly saline permafrost, additional sensitivity analyses and further field data such as boreholes with temperature loggers would be ideal. In addition to heat transfer from flowing water in the creek, the gullies may act as snow traps, thus inhibiting cooling in winter. ...

Exploring the capabilities of electrical resistivity tomography to study subsea permafrost

... Next to the coastal change rates, the database also provides information about parameters, such as shore material, volumetric ground ice content, soil organic carbon content, and several others [14]. A recent study by Rolph et al. [45] presented the first physics-based model to simulate coastal retreat rates at the circum-Arctic scale, called "ArcticBeach v1.0". Simulated coastal erosion was thereby in the same order of magnitude as the observed erosion rates based on two test sites [45]. ...

ArcticBeach v1.0: A physics-based parameterization of pan-Arctic coastline erosion

... Sediment plugs were obtained from their edges using cut, sterile syringes and placed into sterile 15 ml falcon tubes which were kept frozen until DNA extraction. For a detailed analysis of physiochemical properties of the core samples see Yang et al. (2022). ...

Anaerobic methane oxidizing archaea offset sediment methane concentrations in Arctic thermokarst lagoons

... Moreover, existing data is fragmented and can only render partially or critically incomplete information on the ETDs. The use of historical maritime maps [11][12][13] to reconstruct past bathymetry can provide pictures of coastal state from past decades and even centuries 9,10,[14][15][16][17][18][19][20] . Such analysis may support the much-needed view of ETD systems at longer timescales, including their evolution in close relation with the adjacent coastlines and also be useful for modelling future adjustments 21 . ...

High-resolution bathymetry models for the Lena Delta and Kolyma Gulf coastal zones