2019
DOI: 10.1093/jofore/fvz046
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Are Current Seedling Demographics Poised to Regenerate Northern US Forests?

Abstract: Securing desirable regeneration is essential to sustainable forest management, yet failures are common. Detailed seedling measurements from a forest inventory across 24 northern US states were examined for plausible regeneration outcomes following overstory removal. The examination included two fundamental regeneration objectives: 1) stand replacement- securing future forest and 2) species maintenance- securing upper canopy species. Almost half the plots lacked adequate seedlings to regenerate a stand after ca… Show more

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Cited by 19 publications
(16 citation statements)
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References 66 publications
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“…This discordance between canopy and seedling layers within red pine forests has been documented throughout the species range and creates a high potential for stand transitions to dominance by other species (Vickers et al. 2019). This result alone suggests that current conditions will lead to a long‐term decline in the presence of red pine in the BWCAW assuming a business‐as‐usual scenario.…”
Section: Discussionmentioning
confidence: 97%
“…This discordance between canopy and seedling layers within red pine forests has been documented throughout the species range and creates a high potential for stand transitions to dominance by other species (Vickers et al. 2019). This result alone suggests that current conditions will lead to a long‐term decline in the presence of red pine in the BWCAW assuming a business‐as‐usual scenario.…”
Section: Discussionmentioning
confidence: 97%
“…Seedlings of limiting softwoods typically grow more slowly than hardwood sprouts, with competitive disadvantage exacerbated by site richness (Goodlet 1960;Seymour 1992). In several regions, selective herbivory of softwoods further constrains regeneration success (Vickers et al 2019). Despite these challenges, the limiting softwoods have some advantages over competing vegetation.…”
Section: Common Features and Challengesmentioning
confidence: 99%
“…We did it by extracting topographic and bioclimatic variables for every sampled plot from European datasets, such as the Forest and Buildings removed Copernicus DEM (FABDEM, Hawker & Neal 2021) and the Downscaled bioclimatic indicators for selected regions from 1979 to 2018 derived from reanalysis (Wouters et al 2021). We also standardized regeneration densities by assigning a weight to each tree individual according to its height, following the approach of Vickers et al (2019). We are planning to analyze regeneration density drivers, including disturbance agent, topography (elevation, aspect, topographic wetness index), bioclimate (growing degree days, aridity index), and management before and after the disturbance (managed vs. unmanaged, post-disturbance planting vs. no planting, post-disturbance logging vs. no logging), using a series of mixed-effects models.…”
mentioning
confidence: 99%