Modelling Permafrost Distribution using the Temperature at Top of Permafrost Model in the Boreal Forest Environment of Whatì, NT.

Abstract

Current permafrost models in Canadian boreal forests are generally low spatial resolution as they cover regional or continental scales. This study aims to understand the viability of creating a temperature at top of permafrost (TTOP) model on a local scale in the boreal wetland environment of Whatì, Northwest Territories from short-term field-collected temperature data. The model utilizes independent variables of vegetation, topographic positioning index and elevation, with the dependent variables being ground surface temperature collected from 60 ground temperature nodes (GTN) and 1.5 m air temperature collected from 10 temperature stations. In doing this the study investigates the relationship vegetation and disturbance have on ground temperature and permafrost distribution. The model predicts that 31 % of the ground is underlain by permafrost, based on a mean annual temperature at TTOP of < 0 °C. This model shows an accuracy of 62.5 % when compared to Cryotic Assessment Sites (CAS). Most inaccuracies, showing the limitation of the TTOP model, came from peat plateaus that had undergone burn in the most recent forest fire in 2014. These resulted in out of equilibrium permafrost and climatic conditions which TTOP cannot handle well. Commonly permafrost mapping places Whatì in the extensive discontinuous zone estimating that between 50 % to 90 % of the ground is underlain by permafrost. The study shows that a climatically driven TTOP model calibrated with CAS can be used to illustrate ground temperature heterogeneity from short-term data in boreal forest wetland environments. However, this approach likely underestimates permafrost extent and is perhaps not the best-suited modelling choice for near-surface permafrost, which is currently out of equilibrium with the current climate