The influence of vegetation and soil characteristics on active‐layer thickness of permafrost soils in boreal forest

Abstract

Carbon release from thawing permafrost soils could significantly exacerbate global warming as the active‐layer deepens, exposing more carbon to decay. Plant community and soil properties provide a major control on this by influencing the maximum depth of thaw each summer (active‐layer thickness; ALT ), but a quantitative understanding of the relative importance of plant and soil characteristics, and their interactions in determine ALT s, is currently lacking. To address this, we undertook an extensive survey of multiple vegetation and edaphic characteristics and ALT s across multiple plots in four field sites within boreal forest in the discontinuous permafrost zone ( NWT , Canada). Our sites included mature black spruce, burned black spruce and paper birch, allowing us to determine vegetation and edaphic drivers that emerge as the most important and broadly applicable across these key vegetation and disturbance gradients, as well as providing insight into site‐specific differences. Across sites, the most important vegetation characteristics limiting thaw (shallower ALT s) were tree leaf area index ( LAI ), moss layer thickness and understory LAI in that order. Thicker soil organic layers also reduced ALT s, though were less influential than moss thickness. Surface moisture (0–6 cm) promoted increased ALT s, whereas deeper soil moisture (11–16 cm) acted to modify the impact of the vegetation, in particular increasing the importance of understory or tree canopy shading in reducing thaw. These direct and indirect effects of moisture indicate that future changes in precipitation and evapotranspiration may have large influences on ALT s. Our work also suggests that forest fires cause greater ALT s by simultaneously decreasing multiple ecosystem characteristics which otherwise protect permafrost. Given that vegetation and edaphic characteristics have such clear and large influences on ALT s, our data provide a key benchmark against which to evaluate process models used to predict future impacts of climate warming on permafrost degradation and subsequent feedback to climate.

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