Standardized monitoring of permafrost thaw: a user-friendly, multiparameter protocol1

• Published in: Arctic Science
• Main Authors: Julia Boike, Sarah Chadburn, Julia Martin, Simon Zwieback, Inge H.J. Althuizen, Norbert Anselm, Lei Cai, Stéphanie Coulombe, Hanna Lee, Anna K. Liljedahl, Martin Schneebeli, Ylva Sjöberg, Noah Smith, Sharon L. Smith, Dmitry A. Streletskiy, Simone M. Stuenzi, Sebastian Westermann, Evan J. Wilcox
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: Canadian Science Publishing 2022
• Subjects: snow depth; vegetation height; soil characteristics; active layer thaw depth; permafrost monitoring protocol; hauteur de neige; geo; envir; Arctic; Climate change; permafrost
• Online Access: https://doi.org/10.1139/as-2021-0007; https://doaj.org/article/9aeaa7a3a8614de6889320ddbfe7d020

Climate change is destabilizing permafrost landscapes, affecting infrastructure, ecosystems, and human livelihoods. The rate of permafrost thaw is controlled by surface and subsurface properties and processes, all of which are potentially linked with each other. However, no standardized protocol exists for measuring permafrost thaw and related processes and properties in a linked manner. The permafrost thaw action group of the Terrestrial Multidisciplinary distributed Observatories for the Study of the Arctic Connections (T-MOSAiC) project has developed a protocol, for use by non-specialist scientists and technicians, citizen scientists, and indigenous groups, to collect standardized metadata and data on permafrost thaw. The protocol introduced here addresses the need to jointly measure permafrost thaw and the associated surface and subsurface environmental conditions. The parameters measured along transects include: snow depth, thaw depth, vegetation height, soil texture, and water level. The metadata collection includes data on timing of data collection, geographical coordinates, land surface characteristics (vegetation, ground surface, water conditions), as well as photographs. Our hope is that this openly available dataset will also be highly valuable for validation and parameterization of numerical and conceptual models, and thus to the broad community represented by the T-MOSAiC project.