Canadian Forest Service Publications

ABoVE: Synthesis of Post-Fire Regeneration Across Boreal North America, 2022, Baltzer, J.L.; Day, N.J.; Walker, X.J.; Greene, D.F.; Mack, M.C.; Arseneault, D.; Barnes, J.; Bergeron, Y.; Boucher, Y.; Bourgeau-Chavez, L.L.; Brown, C.D.; Carriere, S.; Howard, B.K.; Gauthier, S.; Parisien, M.A.; Reid, K.A.; Rogers, B.M.; Roland, C.; Sirois, L.; Stehn, S.; Thompson, D.K.; Turetsky, M.R.; Whitman, E.; Johnstone, J.F. ORNL DAAC.

Year: 2022

Issued by: Laurentian Forestry Centre

Catalog ID: 40892

Language: English

Availability: PDF (request by e-mail)

Available from the Journal's Web site.
DOI: 3334

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Mark record


This dataset is a synthesis of species-specific pre- and post-fire tree stem density estimates, field plot characterization data, and acquired climate moisture deficit data for sites from Alaska, USA eastward to Quebec, Canada in fires that burned between 1989 and 2014. Data are from 1,538 sites across 58 fire perimeters encompassing 4.52 Mha of forest and all major boreal ecozones in North America. To be included in this synthesis, a site had to contain information on species-specific post-fire seedling densities. This included sites where seedlings had been counted 2-13 years post-fire, a timeframe over which there was little change in relative dominance of species based on densities. Plot characterization data includes stand age, site drainage, disturbance history, crown combustion severity, seedbed conditions, and stand structural attributes. Gridded values of Hargreaves Climate Moisture Deficit (CMD) were obtained for each plot where plot coordinates were available. These values included 30-year normals (1981-2010) and CMD in the two years immediately following the fire year. CMD anomalies were calculated as the difference between the 30-year normal and the single year values for each of the first two years after a fire. These synthesis data are provided in comma-separated values (CSV) format.

There is one data file in comma-separated values (.csv) with this dataset.