Database of Ice-Rich Yedoma Permafrost Version 2 (IRYP v2) ...

• Main Authors: Strauss, Jens, Laboor, Sebastian, Schirrmeister, Lutz, Fedorov, Alexander N, Fortier, Daniel, Froese, Duane G, Fuchs, Matthias, Günther, Frank, Grigoriev, Mikhail N, Harden, Jennifer W, Hugelius, Gustaf, Jongejans, Loeka Laura, Kanevskiy, Mikhail Z, Kholodov, Alexander L, Kunitsky, Viktor, Kraev, Gleb, Lozhkin, Anatoly V, Rivkina, Elizaveta, Shur, Yuri, Siegert, Christine, Spektor, Valentin, Streletskaya, Irina, Ulrich, Mathias, Vartanyan, Sergey L, Veremeeva, Alexandra, Walter Anthony, Katey M, Wetterich, Sebastian, Zimov, Nikita S, Grosse, Guido
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: climate feedbacks; Greenhouse gas source; Late Pleistocene; Permafrost; thermokarst; Yedoma; Event label; File type; Area/locality; LATITUDE; LONGITUDE; Comment; DATE/TIME; Identification; Investigator; File name; File format; Binary Object; Multiple investigations; Geological profile sampling; Permafrost Research AWI_Perma; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool PETA-CARB; The Yedoma Region A Synthesis of Circum-Arctic Distribution and Thickness IPA_Yedoma_Action_Group; Arctic; Peta; Climate change; Ice; permafrost; Thermokarst
• Online Access: https://dx.doi.org/10.1594/pangaea.940078; https://doi.pangaea.de/10.1594/PANGAEA.940078

Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge.Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map.To harmonize the different datasets and ...