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49 results for “permafrost thaw”

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zenodo52/100

Pan‐Arctic Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea‐Level Rise, and Permafrost Thaw

<p>The datasets are issued from the combination of records of the ESA EO4PAC and Permafrost_cci and HORIZON 2020 Nunataryuk projects. The EO4PAC project aimed to develop a new generation of geospatial products for the observation of permafrost and associated changes from space with a special focus on the coastal Arctic. Four components were considered in the creation of the datasets:</p> <p>(1)&nbsp;&nbsp; Landsat-7/8 for the detection of coastline changes over the 2000-2020 period (Tanguy et al., 2024).</p> <p>(2)&nbsp;&nbsp; Sentinel-1/2 for the detection and mapping of coastal infrastructures (Bartsch et al. 2024), updating Wang et al. (2021).</p> <p>(3)&nbsp;&nbsp; Permafrost_cci timeseries for retrieval of trends of ground temperature and active layer thickness for the 2000-2020 period (Obu et al. 2021a,b), evaluated based on Martin et al (2023) and CALM et al. (2024).</p> <p>(4)&nbsp;&nbsp; Sea level rise by 2100 (Garner et al. 2022).</p> <p>The respective output provides a consistent mapping of settlements along arctic and permafrost-dominated coasts (2), and associated coastline and permafrost conditions changes during the last 20 years (1, 3). Combined together, an assessment of Arctic infrastructures at risk due to permafrost change (GT, ALT) and coastline erosion was possible, the latter with projections for the years 2030, 2050 and 2100.<a name="_heading=h.jkogrw14ymt"></a></p> <p>References</p> <p>Bartsch, Annett, Pointner, Georg, &amp; Nitze, Ingmar. (2023). Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI) (Version 2) [Data set]. Zenodo. https://zenodo.org/records/10160636.</p> <p>CALM, GTN-P, Wieczorek, M., Heim, B., Streletskiy, D., Bartsch, A., 2024, GTN-P CALM: 34 years of Active Layer Thickness (ALT) across latitudinal and elevational gradients in the Northern Hemisphere [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.972777</p> <p>Garner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., et al. (2022). IPCC AR6 sea level projections [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.6382554">https://doi.org/10.5281/zenodo.6382554</a></p> <p>Martin, Julia; Boike, Julia; Chadburn, Sarah; Zwieback, Simon; Anselm, Norbert; Goldau, Maybrit; Hammar, Jennika; Abramova, Ekatarina N; Lisovski, Simeon; Coulombe, St&eacute;phanie; Dakin, Brampton; Wilcox, Evan James; Giamberini, Mariasilvia; Rader, Fieke; Suominen, Otso; Rudd, Daniel Alexander; Mastepanov, Mikhail; Young, Amanda (2023): T-MOSAiC 2021 myThaw data set [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.956039,&nbsp;In: Boike, Julia; Hammar, Jennika; Goldau, Maybrit; Miesner, Frederieke; Anselm, Norbert (2024): Circumarctic seasonal measurements of permafrost parameters (thaw depth, snow depth, vegetation and tree height, water level and soil properties) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.971787</p> <p>Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G., Irrgang, A., K&auml;&auml;b, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M., Strozzi, T., Wegm&uuml;ller, U., Wieczorek, M., and Wiesmann, A.: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0, CEDA,&nbsp; 2021. <a href="https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85">https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85</a></p> <p>Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G., Irrgang, A., K&auml;&auml;b, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M., Strozzi, T., Wegm&uuml;ller, U., Wieczorek, M., and Wiesmann, A.: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0, CEDA, 2021.&nbsp;<a href="https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85">https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85</a></p> <p>Tanguy, R., Bartsch, A., Nitze, I.,&nbsp; Irrgang, A., Petzold, P., Widhalm, B., von Baeckmann, C., Boike, J., Martin, J., Efimova, A., Vieira, G., Whalen, D., Heim, B., Wieszorek, M., Grosse, G.: Pan‐Arctic Assessment of Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea‐Level Rise, and Permafrost Thaw, Earth&rsquo;s Future, 10.1029/2024EF005013.</p> <p>Wang, S., Ramage, J., Bartsch, A., &amp; Efimova, A. (2021). Population in the Arctic Circumpolar Permafrost Region at settlement level (Version 2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.4529610" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.4529610</a></p>

opencc-by-nc-nd-4.0Nov 2024View details →
zenodo52/100

Permafrost Thaw Settlement Dataset

<p>The Permafrost Thaw Settlement Dataset comprises four data files containing measurements, properties and derived parameters related to permafrost thaw settlement tests. This dataset is intended to support research on mechanical properties of permafrost, particularly in understanding the relationship between soil properties and thaw settlement behavior.</p> <h3><strong>Data Paper Reference</strong></h3> <p>A detailed description of the dataset, including methodology, data sources, and analysis, is provided in the accompanying data paper submitted to <em>Earth System Science Data</em>:</p> <div> <div>Mohammadi, Z., Hayley, J.L., 2025. Compilation and Analysis of Thaw Settlement Test Results: Implications for Prediction Tools and Stress-Strain Characterization in Permafrost. <a href="https://doi.org/10.5194/essd-2024-514">https://doi.org/10.5194/essd-2024-514</a></div> </div> <p>An <strong>updated GitHub repository</strong> containing fully reproducible R code and figures: &rarr; <a href="https://github.com/Zucchii/ThawSettlement_DataPaper/releases/tag/essd-pts-final">https://github.com/Zucchii/ThawSettlement_DataPaper/releases/tag/essd-pts-final</a></p> <p>&nbsp;</p> <p>The GitHub repository includes:</p> <ul> <li> <p>R scripts for data processing, analysis, and figure generation</p> </li> <li> <p>Pre-generated figures and processed datasets for convenience</p> </li> <li> <p>Detailed instructions for reproducing all results</p> </li> </ul>

opencc-by-4.0Nov 2024View details →
edi52/100

APEX beta greenhouse gas flux data from both the permafrost plateau area and the active thaw margin, from 2017 on

This dataset contains greenhouse gas flux data for the bog and permafrost plateau sites at the Alaskan Peatland Experiment (APEX) from 2017 on. Includes some environmentals, raw gas concentrations, and derived gas flux rates.

openOpenNov 2024View details →
edi48/100

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Weekly thaw depth data, 2009-2024

The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes weekly thaw depth measurements collected from winter warming, summer warming, and control treatment plots at CiPEHR. Additional measurements from on-plot gas flux wells, water table monitoring wells, and off-plot locations are also reported. Note that the experimental warming portion of this experiment concluded in 2022. These data are a continuation of measurements taken at previously warmed plots but plots were not actively manipulated after 2022.

openOpenJun 2025View details →
edi48/100

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (DryPEHR): Weekly thaw depth data, 2011-2022

This drying and warming experiment addresses the following questions: 1) Does ecosystem drying, warming and permafrost thaw cause a net release or uptake of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss? 3) How do drying and warming affect plant communities and ecosystem properties? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieved using an automated pumping system that lowers the water table in the dry plots. Soil warming began in 2008; OTCs and drying in 2011. This data set includes weekly ground thaw measurements.

openOpenJun 2025View details →
edi48/100

APEX beta vegetation surveys from both the permafrost plateau area and the active thaw margin, from 2017 to present

This dataset contains the vegetation survey data for the bog and permafrost plateau sites at the Alaskan Peatland Experiment (APEX) from 2018 to 2024. Each year of surveys is recorded in a separate subsheet.

openOpenNov 2024View details →
edi48/100

APEX beta environmentals from both the permafrost plateau area and the active thaw margin, from 2017 to 2019

This dataset contains the environmental data for the bog and permafrost plateau sites at the Alaskan Peatland Experiment (APEX) from 2017 to 2019. Includes summarized flux and vegetation values as well for ease of use in analysis.

openOpenNov 2024View details →
edi48/100

Permafrost thaw monitoring in Denali National Park: Thermokarst transect surveys 2013-2023

This dataset contains variables measured at thawed, ice-rich permafrost sites in Denali National Park and Preserve. Transects were established at seven sites in the Toklat river basin in 2013 to understand how ecosystem characteristics changed following permafrost thaw. Transects were co-located with known thaw subsidence (thermokarst) or erosional features and run from outside (relatively undisturbed tundra) through the feature. These data represent a long-term monitoring project of permafrost and ecosystem characteristics, surveyed initially in 2013 and re-surveyed 10 years later in 2023.

openOpenJun 2025View details →
zenodo44/100

Local risks from Arctic permafrost thaw – Results from a transdisciplinary, comparative analysis

<p>This dataset underpins the findings of a transdisciplinary and comparative assessment of permafrost thaw risks across four distinct Arctic regions: Longyearbyen (Svalbard, Norway), the Avannaata Municipality (Greenland), the Beaufort Sea region and Mackenzie River Delta (Canada), and the Bulunskiy District of the Sakha Republic (Yakutiya, Russia). Information on permafrost thaw risks was gathered from multiple disciplines and stakeholders over a five-year period from 2019 to 2023, and classified via thematic network analysis (Attride-Stirling, 2001). The identified risks were subsequently verified and ranked by scientists and local experts through an iterative process and a series of workshops (see Ingeman-Nielsen et al., 2024 in Related Works).</p> <p>The dataset contains the results of the thematic network analysis and ranking of permafrost thaw risks specific to each Arctic region. Provided as an .xlsx file, it consists of six main sheets comprising the following information:</p> <ul> <li>Global theme - Physical Processes</li> <li>Ranking - Physical Processes</li> <li>Global theme - Key Hazards</li> <li>Global theme - Societal Consequences</li> <li>Ranking - Consequences</li> <li>List of Actions Needed</li> </ul> <p>Additional details about the methodological approach and dataset can be found in the accompanying README document.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Increased Radon Exposure from Thawing of Permafrost Due to Climate Change

<p>This database contains one excel data file containing all data required to produce all plot figures in the eponymous paper in Earth&#39;s Future, as well as 5 modelling output video files, the stills from which contribute to the non-plot figures in the paper.</p> <p>This database also contains high quality versions of all the display items in the eponymous paper.</p> <p>For further information please contact the author at p.w.j.glover@leeds.ac.uk</p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

Data and code to accompany the manuscript "Ground subsidence and heave over permafrost: hourly time series reveal inter-annual, seasonal and shorter-term movement caused by freezing, thawing and water movement"

<p>Data and code to accompany the manuscript &quot;Ground subsidence and heave over permafrost: hourly time series reveal inter-annual, seasonal and shorter-term movement caused by freezing, thawing and water movement&quot; submitted to The Cryosphere.</p>

opencc-by-4.0Sep 2019View details →
edi44/100

Monitoring permafrost thaw in Denali National Park and Preserve: year one of data collection 2013

Transects were established at six sites in the Toklat river basin, Denali National Park and Preserve. This was the fist year of what will be a long-term monitoring project of permafrost and ecosystem characteristics. Transects were co-located with known thaw subsidence (thermokarst) features and run from outside (relatively undisturbed tundra) through the feature.

openOpenMay 2014View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: I - Percent Cover Data 2013

This dataset examines shifts in plant community structure along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Percent cover data was collected for subcanopy vascular and nonvascualr vegetation in July 2013.

openOpenOct 2015View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: II - Nitrogen Data 2013

This dataset examines shifts in extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Measured parameters include: dissolved inorganic N (DIN), dissolved organic N (DON), free amino acids, total dissolved N (TDN), soil temp. at 10 cm, seasonal ice depth, and volumetric soil moisture at 10 cm. Soil pore water samples and environmental variables were collected every three to four weeks from late June to late September, 2013 for a total of five sampling events.

openOpenOct 2015View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: III - Root Abundance 2013

This dataset examines shifts in rooting along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest.

openOpenOct 2015View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: IV - Plant vs Nitrogen Data 2013

This dataset examines shifts in soil and plant characteristics, and extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Data includes mean DIN, DON, free amino acids, and TDN from seasonal pore water measurements as well as aboveground vegetation C and N concentrations, and summertime, litterfall % N, and resorption efficiency for C. calyculata.

openOpenOct 2015View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: V - Isotape Data 2013

This dataset examines shifts in foliar del N 15 concentations for three plant species found across a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest.

openOpenOct 2015View details →
edi44/100

Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: VI - Soil Nitrogen Pools

This dataset examines shifts in soil N and extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Measured parameters include: dissolved inorganic N, dissolved organic N, free amino acids, total dissolved N, C:N of soil material, soil bulk density, soil N concentration, soil C concentrations, volumetric soil moisture. Soil pore water samples were collected every three to four weeks from late June to late September, 2013 for a total of five sampling events, while soil cores were collected in late July 2013 for physical characterstics and soil C and N concentrations.

openOpenOct 2015View details →
zenodo40/100

Microbial iron(III) reduction during palsa collapse promotes greenhouse gas emissions before complete permafrost thaw

<p>Data associated with publication &quot;Microbial iron(III) reduction during palsa collapse promotes greenhouse gas emissions before complete permafrost thaw&quot;. The data contained within this data set is arranged according to the main text and the supplementary information of this publication.</p> <p><strong>Background information</strong></p> <p>Field site: Stordalen mire, Abisko, Sweden (68 22ʹ N, 19 03ʹ E)</p> <p>Thaw stages: Palsa, bog and fen</p> <p>Type of samples: Gas samples, porewater samples, soil core samples</p>

opencc-by-4.0Jan 2022View details →
dryad40/100

Permafrost-thaw lake development in Central Yakutia: sedimentary ancient DNA and element analyses from a Holocene sediment record

<p>In Central Yakutia (Siberia) livelihoods of local communities depend on alaas (thermokarst depression) landscapes and the lakes within. Development and dynamics of these alaas lakes are closely connected to climate change, permafrost thawing, catchment conditions, and land use. To reconstruct lake development throughout the Holocene we analyze sedimentary ancient DNA (sedaDNA) and biogeochemistry from a sediment core from Lake Satagay, spanning the last c. 10,800 calibrated years before present (cal yrs BP). SedaDNA of diatoms and macrophytes and microfossil diatom analysis reveal lake formation earlier than 10,700 cal yrs BP. The sedaDNA approach detected 42 amplicon sequence variants (ASVs) of diatom taxa, one ASV of Eustigmatophyceae (Nannochloropsis), and 12 ASVs of macrophytes. We relate diatom and macrophyte community changes to climate-driven shifts in water level and mineral and organic input, which result in variable water conductivity, in-lake productivity, and sediment deposition. We detect a higher lake level and water conductivity in the Early Holocene (c. 10,700–7000 cal yrs BP) compared to other periods, supported by the dominance of Stephanodiscus sp. and Stuckenia pectinata. Further climate warming towards the Mid-Holocene (7000–4700 cal yrs BP) led to a shallowing of Lake Satagay, an increase of the submerged macrophyte Ceratophyllum, and a decline of planktonic diatoms. In the Late Holocene (c. 4700 cal yrs BP–present) stable shallow water conditions are confirmed by small fragilarioid and staurosiroid diatoms dominating the lake. Lake Satagay has not yet reached the final stage of alaas development, but satellite imagery shows an intensification of anthropogenic land use, which in combination with future warming will likely result in a rapid desiccation of the lake.</p>

opencc-zeroJul 2022View details →

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