This Brodie_FireSeverityDiversityProductivity_README.txt file was generated on 2021-07-10 by Emily Brodie


GENERAL INFORMATION

1. Title of Dataset: California subalpine forest post-fire diversity and productivity

2. Author Information
	A. Principal Investigator Contact Information
		Name: Emily G. Brodie
		Institution: UC Davis
		Address: Department of Environmental Science and Policy, University of California, Davis, California USA
		Email: egbrodie@ucdavis.edu


3. Date of data collection (single date, range, approximate date): 2017-08-01 to 2019-09-24 (2 1/2 field seasons)

4. Geographic location of data collection : Data was collected in subalpine forest in California in six designated wilderness areas. From south to north: The San Gorgonio Wilderness, Sequoia National Park, Kings Canyon National Park, John Muir Wilderness, Ansel Adams Wilderness, and Yosemite National Park.

5. Information about funding sources that supported the collection of the data: Funding was provided by NSF Graduate Research Fellowship #1650042, and USDA Forest Service Pacific Southwest Region. 


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: NA

2. Links to publications that cite or use the data: NA

3. Links to other publicly accessible locations of the data: NA

4. Links/relationships to ancillary data sets: NA

5. Was data derived from another source? No
	A. If yes, list source(s): 

6. Recommended citation for this dataset: 
Brodie, Emily (2021), California subalpine forest post-fire understory diversity and productivity, Dryad, Dataset, https://doi.org/10.25338/B86K9M


DATA & FILE OVERVIEW

1. File List: 
	1. sev_div_prod_data.csv
	2. subalpine_traits_data.csv
	3. species_list_traits.csv

2. Relationship between files, if important: 

3. Additional related data collected that was not included in the current data package: 

4. Are there multiple versions of the dataset? No
	A. If yes, name of file(s) that was updated: 
		i. Why was the file updated? 
		ii. When was the file updated? 


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
Please see methods in Dryad dataset description and linked Ecology publication.
Brodie, E. G., J. E. D. Miller, and H. D. Safford. 2021. Productivity modifies the effects of fire severity on understory diversity. Ecology.


2. Methods for processing the data: 
Please see methods in Dryad dataset description and linked Ecology publication.

3. Instrument- or software-specific information needed to interpret the data: 
The software package R is necessary to run attached code.

4. Standards and calibration information, if appropriate: NA

5. Environmental/experimental conditions: NA

6. Describe any quality-assurance procedures performed on the data: 
Data was taken digitally in the field setting and reviewed for quality assurance in the lab.

7. People involved with sample collection, processing, analysis and/or submission: 
Emily Brodie
Jesse Miller







DATA-SPECIFIC INFORMATION FOR: sev_div_prod_data.csv
1. Number of variables: 16

2. Number of cases/rows: 248 observations/rows + 1 header = 249

3. Variable List: 
fire_id: first three letters of fire name (see Table S1 in Brodie et al., 2021 for full names and information about fires)
plot: unique identifier for plot
lat: latitude of plot
lon: longitude of plot
elevation: elevation of plot
sample_year: year plot was sampled by crew
burn_year: year plot burned in fire. NA for unburned control plots as they have not burned in recorded history.
tsf: time since fire (sample year minus burn year)
fire_sev: on the ground fire severity classification. See Table S2 in Brodie et al., 2021 for more information on fire severity classification)
hli: heat load index, calculated as in Dryad methods section
average_ndvi: average maximum NDVI from 1995-2000, 6 pre-fire years with variable precipitation in the study region
sp_rich: species richness from an exhaustive search of the 405 square meter plot
sp_rich_seed: sp_rich including tree seedlings 
forest_type: forest type code for plot area
forest_type_description: names of dominant tree species in the forest type
codominant: Y if dominant tree species co-dominant with other species in plot area. N if no other tree species co-dominant in plot area.
	

4. Missing data codes: 
NA = not applicable







DATA-SPECIFIC INFORMATION FOR: subalpine_traits_data.csv
1. Number of variables: 11

2. Number of cases/rows: 13,476 observations/rows + 1 header = 13,477

3. Variable List: 
fire_id: first three letters of fire name (see Table S1 in Brodie et al., 2021 for full names and information about fires)
plot: unique identifier for plot
uu: USDA Forest Service code for species
value: whether or not species (uu) is present in plot. 
       0 = not present
       1 = present
fire_sev: on the ground fire severity classification. See Table S2 in Brodie et al., 2021 for more information on fire severity classification)
tsf: time since fire 
average_ndvi: average maximum NDVI from 1995-2000, 6 pre-fire years with variable precipitation in the study region
lifespan: lifespan of species (uu)
	  ann_bien = annual or biennial
	  short_peren = non-woody perennial without rhizomes, stolons, bulbs or root storage organs.
	  long_peren = woody perennials and/or perennials with rhizomes, stolons, bulbs, or other storage organs.
dispersal: characterization of species dispersal syndrome as "far" or "near". Species dispersal syndrome was classified as vertebrate-dispersing if the reproductive structures were fleshy or adhesive, wind-dispersing if the reproductive structure included a pappus, and unassisted if the reproductive structure had none of the previously described characteristics.
	   far = vertebrate or wind dispersal syndrome.
	   near = unassisted dispersal syndrome
far: whether or not species has "far" dispersal syndrome as above
     0 = no
     1 = yes
geo: whether or not species is a geophyte (possesses bulbs, corms, or other underground storage organs)
     0 = no
     1 = yes
	

4. Missing data codes: 
NA = not applicable







DATA-SPECIFIC INFORMATION FOR: species_list_traits.csv
1. Number of variables: 9

2. Number of cases/rows: 269

3. Variable List: 
fam: Family
jep: Scientific name from the Jepson Manual of California
uu: USDA Forest Service code for species
lifeform: Lifeform from the Jepson Manual of California
life_hist: life history
	Annual = Annual
	Perennial_woody = shrubs, woody to upper part of plant
	Biennial = biennial
	Perennial_nonwoody = plant is fleshy all over
	Perennial_woody_base = subshrub, or plant has woody lower branches
	Perennial_woody_caudex = the persistent base of the stem is woody
root: type of root
	Rhizome_long = long rhizome
	Rhizome_short = short rhizome
	Rhizome_unk = short or long rhizome
	Rhyzophore = species has rhyzophore
	Woody_caudex = the persistent base of the stem is "woody"
	Stolon = stolon
	Stolon_short = short stolon
	Taproot = taproot
	Fibrous = fibrous root
	Corm = species has corm
	Tuber = species has tuber
	Bulb = species has bulb
	No_storage = species root has no obvious storage organs but is not as otherwise described (often used for annual species)
	Other = species root is not as otherwise described
	UNK = species root characteristics are unknown
dispersal: species dispersal syndrome
	Unassisted = no specialized dispersal structure (or ant or ballistic)
	Wind = pappus or winged
	Vertebrate = fleshy, adhesive, or fatty (ie. quercus, pinus albicaulis)
lifespan_model: species designations for lifespan model
	an_bien = annual or biennial
	short_peren = non-woody perennial without rhizomes, stolons, bulbs or root storage organs
	long_peren = woody perennials and/or perennials with rhizomes, stolons, bulbs, or other storage organs
disp_model: species designations for dispersal model
	Far = Vertebrate or wind-dispersed
	Near = Unassisted dispersal
	

4. Missing data codes: 
UNK = unknown or unable to find
NA = not applicable for that species (i.e. trait data not collected for trees)













