Species turnover index and conifer seedling counts as a function of residual soil organic layer (SOL) depth, burn depth, and pre-fire conifer density.

• Main Authors: Xanthe J. Walker (3715783), Brain K. Howard (11619743), Mélanie Jean (3715789), Jill F. Johnstone (8027336), Carl Roland (6504848), Brendan M. Rogers (9184067), Edward A. G. Schuur (2663494), Kylen K. Solvik (11619746), Michelle C. Mack (8949893)
• Format: Still Image
• Language: unknown
• Published: 2021
• Subjects: Cell Biology; Molecular Biology; Evolutionary Biology; Ecology; Sociology; Developmental Biology; Plant Biology; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; understory vegetation composition; occur without increases; drier landscape positions; denali national park; active layer thickness; 6 ± 4; 18 ± 1; density spruce stands; seed rain observations; extensive 2013 wildfire; fire tree regeneration; conifer tree recruitment; seeding experiment indicate; div >< p; 13 kg c; fire conifer density; assessed wildfire severity; induced forest infilling; increased alt post; increased density; seeding experiment; conifer trees; recruitment potential; alt ); wildfire throughout; wildfire severity; wildfire frequency; seed availability; organic soil; north slope; make predictions; increasing throughout; higher post; global carbon; future flammability; ecosystem structure; central alaska; c emissions; burn depth; also located; almost 95; alaska range; 5 cm; Alaska
• Online Access: https://doi.org/10.1371/journal.pone.0258558.g008

Black lines represent modelled relationships (solid = significant at p-value 0.05, dashed = not significant) and shading represents 95% confidence regions. Species turnover was modelled with a linear mixed effect model and conifer seedling count was modelled with a generalized linear mixed effect model fit with a type II negative binomial distribution. Both models included a random effect of grid (2 levels). See Table 2 for model results.