Front. Ecol. Evol. Frontiers in Ecology and Evolution Front. Ecol. Evol. 2296-701X Frontiers Media S.A. 10.3389/fevo.2023.1337949 Ecology and Evolution Correction Corrigendum: Spatially explicit models of seed availability improve predictions of conifer regeneration following the 2018 Carr Fire in northern California Wright Micah 1 * van Mantgem Phillip 1 Buffington Kevin 2 Thorne Karen 2 Engber Eamon 3 Smith Sean 4 1 U.S. Geological Survey, Western Ecological Research Center, Arcata, CA, United States 2 U.S. Geological Survey, Western Ecological Research Center, Davis, CA, United States 3 National Park Service, Klamath Network Fire Ecology Program, Orick, CA, United States 4 National Park Service, Klamath Inventory and Monitoring Network, Ashland, OR, United States

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*Correspondence: Micah Wright, mcwright@usgs.gov

06 12 2023 2023 11 1337949 13 11 2023 14 11 2023 Copyright © 2023 Wright, van Mantgem, Buffington, Thorne, Engber and Smith 2023 Wright, van Mantgem, Buffington, Thorne, Engber and Smith

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 A Corrigendum on Spatially explicit models of seed availability improve predictions of conifer regeneration following the 2018 Carr Fire in northern California By Wright M, van Mantgem P, Buffington K, Thorne K, Engber E and Smith S (2023) Front. Ecol. Evol. 11:1229123. doi: 10.3389/fevo.2023.1229123 wildland fire conifer regeneration dispersal kernel Bayesian modeling lidar section-in-acceptance Biogeography and Macroecology

In the published article, there was an error in Figure 7 and Figure 8 as published. Incorrect units were used on the x axis of the seed availability plots: they should read “Seed density m2”, not “Seed density m2 ha−1”. The corrected Figures 7 and 8 and their captions appear below. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Model predictions of probability of observing zero conifer seedlings (± 95% credible intervals) for each predictor in the model with the highest el p ^ d. Predictions are made holding all other variables constant. Note the different axes scales.

Model predictions of conifer seedling density in stems per hectare (± 95% credible intervals) for each predictor in the model with the highest el p ^ d. Predictions are made holding all other variables constant. Note the different axes scales.

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