This README file was generated on 2023-11-20 by Harold Zald.
GENERAL INFORMATION

1. Title of Dataset: Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest
2. Author Information A. Principal Investigator Contact Information Name: Harold Zald Institution: USDA Forest Service, Pacific Northwest Service Station Address: Corvallis, OR USA Email: harold.zald@usda.gov B. Associate or Co-investigator Contact Information Name: Andrew Gray Institution: USDA Forest Service, Pacific Northwest Research Station Address: Corvallis, OR USA Email: andrew.gray@usda.gov
3. Date of data collection (multiple dates, range): 2000-2021
4. Geographic location of data collection: Teakettle Experimental Forest, California, USA 36°58′N, 119°02′W
5. Information about funding sources that supported the collection of the data: USDI Joint Fire Science Program (Project ID 15-1-07-6, 10-1-10-14, 01-3-2-02), California Department of Forestry and Fire Protection as part of the California Climate Investments Program (Grant #8GG14803, #8GG14804), and the USDA Forest Service Pacific Northwest and Pacific Southwest Research Stations

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC0 1.0 Universal (CC0 1.0) Public Domain
2. Links to publications that cite or use the data:

Zald, H. S. J., May, C. J., Gray, A. N., North, M. P., Hurteau, M. D. (2024). Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest. Forest Ecology and Management 551(1): 121531. https://doi.org/10.1016/j.foreco.2023.121531

1. Links to other publicly accessible locations of the data: None
2. Links/relationships to ancillary data sets: None
3. Was data derived from another source? No A. If yes, list source(s): NA
4. Recommended citation for this dataset:

Zald, H. S. J., May, C. J., Gray, A. N., North, M. P., Hurteau, M. D. (2023). Data from: Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest.
Dryad Digital Repository. https://doi.org/10.5061/dryad.2bvq83bx1

DATA & FILE OVERVIEW

1. Data frame List: All data files are data frame objects within the R data file TEF_regeneration.RData

A) gridpt.count
B) gridpt.envars

1. Relationship between files, if important: Both data files have a common variable gridpt
2. Additional related data collected that was not included in the current data package: None
3. Are there multiple versions of the dataset? No A. If yes, name of file(s) that was updated: NA i. Why was the file updated? NA ii. When was the file updated? NA

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DATA-SPECIFIC INFORMATION FOR: gridpt.count

1. Number of variables: 15
2. Number of cases/rows: 14670
3. Variable List:

• trt: Treatment combination of prescribed burning and mechanical thinning. Categorical variable with six levels (UN = unburned, not thinned control, UC = unburned, understory CASPO thinning, US = unburned, overstory shelterwood thinning, BN = burned, not thinned control, BC = burned, understory CASPO thinning, BS = burned, overstory shelterwood thinning). CASPO refers understory thinning following guidelines in the California spotted owl report (Verner et al. 1992. https://doi.org/10.2737/PSW-GTR-133), removing intermediate sized trees 25–76 cm diameter at breast height (DBH, 1.37 m) while retaining at least 40 % canopy cover, retaining 40 % basal area, or no harvest of trees greater than 76 cm DBH, whichever constraint was most restrictive.
• plot: 4 hectare plot identification code. Categorical variable with 16 levels. There are 3 replicate plots for each level of treatment combination in the trt variable.
• gridpt: Gridpoint identification code. Categorical variable with 402 levels, with first three characters denoting which plot a gridpoint is in, followed by a numeric identifier ranging from 01 to 49. For each treatment combination, two replicate plots each have nine gridpoints (01-09) positioned in a regular grid with 50 m x 50 m spacing. For the third replicate plot in each treatment combination there are 49 gridpoints on regular grid with 25 m x 25 m spacing.
• quad: Quadrat of 3.5 m radius tree regeneration microplots centered on gridpoints. Categorical variable with 4 levels (NE = Northeast, SE = Southeast, SW = Southwest, NW = Northwest)
• species: Tree species code. Categorical variable with eight levels (ABCO = White fir, Abies concolor, ABMA = Red fir, Abies magnifica, CADE = Incense-cedar, Calocedrus decurrens, PIJE = Jeffrey pine, Pinus Jeffreyii, PILA = Sugar pine, Pinus lambertiana, PREM = Bitter cherry, Prunus emarginata, QUCH = Canyon live oak, Quercus chrysolepis, QUKE = California black oak, Quercus kelloggii).
• origin: Origin of tree regeneration. Categorical variable with two levels (N = natural regeneration, P = planted regeneration). Planted regeneration was 2 year old bare root stock, planted in 2002, in only the overtstory thinned treatments (trt = US or trt = BS).
• year: Year of regeneration measurement. Numeric variable with values 2000, 2002, 2003, 2004, 2005, 2011, 2016, 2017, 2018, 2019, 2021.
• szcl: Tree regeneration size class. Categorical variable with four levels (A = height greater or equal than 5 cm and less than 50 cm\, B = height greater or equal to 50 cm and less than 137 cm\, C = height greater or equal to 137 cm and diameter at 137 cm height less than 5 cm\, D = height greater or equal to 137 and diameter at 137 cm height greater or equal then 5 cm). Note that during first measurement year (year = 2000) tree regeneration was only tallied for regeneration less than 5 cm in diameter (szcl = A | B |C). Inclusion of szcl = D was in subsequent measurement years to account for regeneration that grew greater than 5 cm diameter.
• count: Count of regeneration for a given gridpt, quad, species, origin, and szcl. Numeric variable from 0 to 327.
• azi: Azimuth from gridpoint center to planted tree regeneration. Numeric variable from 1-359. Azimuth assumes magnetic declination of 14 degree east.
• dist: Distance in meters from gridpoint center to planted tree regeneration. Numeric variable from 0.1 to 3.5 m.
• dia: Tree regeneration diameter in cm. Numeric variable from 0.1 to 15.2 cm.
• len: Length/height of tree regeneration in cm. Numeric variable from 6 to 480 cm.• comments: qualitative field observation comments. Text variable
• Data.Corrections: Data corrections that derivate from original field data sheets. Text variable

1. Missing data codes: NA
2. Specialized formats or other abbreviations used: None

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DATA-SPECIFIC INFORMATION FOR: gridpt.envars

1. Number of variables: 17
2. Number of cases/rows: 402
3. Variable List:

• gridpt: Gridpoint identification code. Categorical variable with 402 levels, with first three characters denoting which plot a gridpoint is in, followed by a numeric identifier ranging from 01 to 49. For each treatment combination, two replicate plots each have nine gridpoints (01-09) positioned in a regular grid with 50 m x 50 m spacing. For the third replicate plot in each treatment combination there are 49 gridpoints on regular grid with 25 m x 25 m spacing.
• canopy: Pretreatment percent canopy cover above gridpoints. Numeric variable from 0 to 100 percent, estimated using digital hemispherical photography taken during the pretreatment summer of 2000. For details see Gray et al. (2005) https://doi.org/10.1093/forestscience/51.3.198.
• litter: Percent cover of litter within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 20 percent.
• bare: Percent cover of bare ground within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 95 percent.
• rock: Percent cover of rock within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 100 percent.
• cwd: Percent cover of coarse woody debris (woody pieces greater or equal than 20 cm diameter) within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 84 percent.
• sticks: Percent cover of sticks (woody pieces less than 20 cm diameter, excluding litter) within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 85 percent.
• arpa: Percent cover of shrub Arctostaphylos patula within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 95 percent.
• ceco: Percent cover of shrub Ceanothus cordulatus within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 100 percent.
• syro: Percent cover of shrub Symphoricarpos mollis within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 55 percent.
• prem: Percent cover of shrub/small tree Prunus emarginata within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 55 percent.
• riro: Percent cover of shrub Ribes roezlii within 1.78 m radius microplot centered on each grid point, measured during the pretreatment summers of 1998–1999. Numeric variable from 0 to 40 percent.
• patch: Vegetation patch type classification. Categorical variable with three levels (CECO dominated, closed canopy, open).
• h2o.oct.1998: Volumetric percent soil water content in the upper 15 cm of soil measured in mid-Oct. 1998. Numeric variable from 1.72 to 48.3 percent. Soil moisture measured using time domain reflectometry. For details, see Zald et al. 2008. https://doi.org/10.1016/j.foreco.2008.04.022.
• h2o.may.1999: Volumetric percent soil water content in the upper 15 cm of soil measured in mid-May. 1999. Numeric variable from 3.8 to 50 percent.
• soil.depth: Soil depth to bedrock in cm. Numeric variable from 0 to 257 cm.

1. Missing data codes: NA
2. Specialized formats or other abbreviations used: None