| Summary: | More than four decades’ high-resolution (~1 meter (m)) remote sensing observation in upland and lowland tundra revealed divergent pathways of shrub-cover responses to fire disturbance and climate change during 1951 to 2016 in the Noatak National Preserve of northern Alaska. We set up 114 study sites (250 m by 250 m) in burned and the adjacent unburned upland and lowland tundra using stratified random sampling. Specifically, all sites were placed with a minimum distance of 500 m apart from one another, and the unburned sites were located in areas greater than 500 m and less than 2,000 m radius surrounding the fire perimeters. To achieve an unbiased representation of tundra types (upland and lowland tundra) and fire severity levels (high, moderate, low, and unburned), a minumun of 12 study sites were randomly assigned to each tundra type × fire severity group. We then analyzed decadal-scale shrub cover change in each study site using supervised support vector machine classifier (ArcGIS 10.5). The data was presented as shrub cover (m2 ha (hectare)-1) at years before fire and after fire, where negative values of Year Since Fire (YSF) correspond to the number of years before fire, and positive values are the number of years after fire. Our results revealed that shrub expansion in the well-drained uplands was largely enhanced by fire disturbance, and it showed positive correlation with fire severity. In contrast, shrub cover decreased in lowland tundra after fire, which triggered thermokarst-associated water impounding and resulted in ~ 50% loss of shrub cover over three decades.
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