Data from: Canopy seed survival through extreme fire in non-serotinous conifers: An unexpected source of forest resilience
Data files
Sep 22, 2025 version files 1.46 MB
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fire_daily_area_2002_2021.csv
1.35 MB
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plot-data-prepped.csv
101.78 KB
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README.md
6.77 KB
Abstract
Across much of the semiarid conifer forests of western North America (“dry conifer forests”), the dominant tree species are non-serotinous, lack soil seedbanks, and rarely disperse seeds much farther than 100 m, so tree regeneration in large, high-severity burned patches is expected to be highly seed-limited. Conifer seedlings do, however, sometimes establish at high densities deep within high-severity patches in these forests, implying that seeds can sometimes survive intense wildfire even when all overstory trees die. Does seed survival in the canopies of non-serotinous trees provide an unexpected source of forest resilience? To answer this question, we surveyed tree survival, fire severity, and seedling abundance across two very large wildfires in the first year after fire. Several of the study species had a good seed cone production year at the time of the fires. We stratified many of our plots deep within high-severity patches far from surviving trees, where existing models predict regeneration failure due to a lack of viable seeds. Contrary to such expectations, we found that conifer seedling densities in these areas were generally far greater than needed to replace fire-killed trees and sometimes approached seedling densities observed near surviving trees. Seedling densities in high-severity areas far from surviving trees correlated negatively with local burn intensity (canopy foliage consumption), supporting the local origin of the seeds and highlighting a critical driver of post-fire recovery that is easily missed by traditional surveys conducted > 2 years following fire. Seedling density was also strongly associated with burn date, suggesting that persistence of viable canopy seeds depends on synchrony between wildfire and cone ripening dates. Together, our results demonstrate that under the right conditions, canopy seed survival can lead to dense seedling establishment across large, severely burned areas and may substantially support the resilience of dry conifer forests to the uncharacteristically severe fires that are becoming increasingly prevalent in this system.
fire_daily_area_2002_2021.csv
Total area burned by year and day of year for California fires burning between 2002 and 2021. Tabular data were derived by summarizing fire progression maps for the California fires burning between 2002 and 2020 as published by Coop et al. (2022), produced using the methods described above, and provided by S. Parks. We combined these 2002-2020 data with day of burning maps that we calculated, using the same methods, for California fires > 404 ha burning in 2021 based on perimeters from the Monitoring Trends in Burn Severity (MTBS) database (Eidenshink et al. 2007).
plot-data-prepped.csv
Field data from high-severity burned areas of the 2021 Caldor and Dixie fires were collected for the
paper. Each row represents a field plot. The dataset includes all field plots sampled by the
project, including those excluded from the analyses supporting the paper, based on the plot
selection criteria described in the paper. The dataset also includes field plot attributes beyond
those analyzed in the paper, to enable future extensions of the analysis. Data were collected by a
researcher who visited each plot and recorded their observations. Percent covers and cone densities are
recorded for the circle with an 8 m radius surrounding the plot center. Seedling densities are estimated by
counting seedlings within a radius of the plot center determined by the seedling abundance. Note that
this dataset includes the full set of surveyed plots, from which a subset was selected for the
analyses supporting the accompanying paper (following the plot inclusion criteria described in the
published paper). For full plot selection, subsetting, and mensuration methodology, please see the
methods section of the accompanying paper. All missing data represented as NA. Fields (columns) include taxon abbreviations as follows:
- YLWPINES: yellow pines, i.e., Pinus ponderosa and Pinus jeffreyi
- PILA: Pinus lambertiana
- ABCO: Abies concolor
- PSME: Pseudotsuga menziesii
- CADE: Calocedrus decurrens
- PINES: Pinus spp.
- ABIES: Abies spp.
- ALL: all species
- FIRS: Abies spp. and Pseudotsuga menziesii
The fields (columns) are as follows:
- fire: The name of the fire where the plot was sampled
- plot_id: A unique plot ID
- plot_type:
seedwallfor edge plots,coreFor interior plots, and for additional interior plots. The latter plot type refers to "delayed mortality" plots, which were designed to capture highly injured trees that were not completely killed and were expected to die in future years. Some of these plots were far enough from the highly injured green trees that they satisfied the criteria for interior plots for the paper. Edge plots are those near an unburned forest edge, and interior plots are those far from healthy surviving green trees. - survey_date: The date the plot was surveyed
- lat and lon: The geographic coordinates of the plot, in decimal degrees, rounded to the nearest thousandth
- shrub_cover: The shrub cover in the plot (%)
- shrub_height: The mean height of shrubs in the plot (cm). Only recorded if shrub cover > 1%
- herb_cover: The cover of herbaceous vegetation in the plot (%)
- herb_height: The mean height of herbaceous vegetation in the plot (cm). Only recorded if herb cover > 1%
- litter_cover: The cover of litter in the plot (%)
- litter_depth: The depth of litter in the plot, sampled at a representative point where litter was present
- moss_cover: The cover of moss in the plot (%)
- branches_cover: The cover of the plot by dropped branches (%)
- vol_aaa_bbb: The estimated percentage of the pre-fire foliage volume that is now green (aaa = grn), brown (aaa = brn), or missing (aaa = blk) within either a 50 m radius (bbb = 50m) or 10 m radius (bbb = 10m) surrounding the plot
- sight_line: The distance to the nearest obstruction (in any direction) that would prevent viewing a surviving or scorched tree behind it (m). Measured using a laser rangefinder
- mean_tree_dbh: The diameter at breast height of the (fire-killed) tree that most closely matches the mean tree size (of trees > 20 cm DBH), within 50 m of the plot center (cm)
- mean_seedwall_height: The mean height of trees on the near side of the nearest unburned forest edge (recorded for edge plots only) (m). Measured using a laser rangefinder
- prefire_prop_aaaa: The estimated prefire proportion of trees of taxon aaaa (%)
- seedwall_density_cat: The categorical density/abundance of trees in the seed wall (surviving forest edge): L for < 25 trees, H for an entire continuous intact forest, and M for an intermediate value
- dom_yellpine_cone_sp: The species of the most abundant yellow pine cone in the plot. pije = Pinus jeffreyi, pipo = Pinus ponderosa
- seedl_dens_aaaa: The density of seedlings of taxon aaaa within the field plot (seedlings m^-2)
- cone_dens_aaaa: The density of cones of taxon aaaa within the field plot (cones m^-2)
- under_cones_new_aaaa: The categorical density of cones of taxon aaaa under the nearest canopy-dominant tree of the taxon. The value is recorded as "low" if there were < 10 conspecific cones (except < 5 for Pinus lambertiana) underneath the tree, and "high" otherwise
- dist_grn_aaaa: The distance to the nearest visible tree of taxon aaaa with >= 5% of its prefire green canopy volume remaining (m). For edge plots, the distance to the green edge is recorded in the column dist_grn_ALL
- aaaa_green_vol: Of the current green canopy volume, the proportion contributed by taxon aaaa (%)
- aaaa_green_vol_abs: Of the estimated prefire green canopy volume, the proportion that is currently green and is of taxon aaaa (%)
- ba: Live and dead tree basal area at the plot, estimated using a basal area gauge (variable-radius method) (ft2 ac-1)
- cabable_growing_area: The percentage of the plot area that is not covered by large woody debris on the ground and rocks > 10 cm in the short dimension (%)
- fire_intens: Canopy burn fraction, computed by subtracting from 100 the average of the percent litter cover and scorched canopy foliage percent (%)
- day_of_burning: The day of the year (1 to 365) that the plot was estimated to have burned, following the methods of Parks (2014) as described in the paper accompanying this dataset.
- ppt: Normal annual precipitation (1981-2010 mean) extracted from the 800-m resolution PRISM dataset (PRISM Climate Group 2022) using bilinear interpolation (mm)
- tmean: Normal annual temperature (1981-2010 mean) extracted from the 800-m resolution PRISM dataset (PRISM Climate Group 2022) using bilinear interpolation °C)
- Young, Derek J. N.; Venuti, Nina E.; Greene, David F.; Latimer, Andrew M. (2025). Canopy seed survival through extreme fire in non‐serotinous conifers: An unexpected source of forest resilience. Ecological Applications. https://doi.org/10.1002/eap.70142
