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This markdown document describes all data used and metadata associated with the analysis and visualisations for the following manuscript: Success of post-fire plant recovery strategies varies with shifting fire seasonality. Ryan Tangney, Ruby Paroissien, Tom D. Le Breton, Alexandria Thomsen, Chantelle A.T Doyle, Mercedes Ondik, Russell G. Miller, Ben P. Miller, Mark K.J. Ooi.

Date of data collection: 2020 - 2021 Geographic location of data collection: Global

Information about funding sources that supported the collection of the data: Australian Research Council, Award: LP180100741

SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: Data is publicly available with no restrictions. Links to publications that cite or use the data: Cite paper: Tangney, Ryan et al. (2022), Success of post-fire plant recovery strategies varies with shifting fire seasonality.

Recommended citation for this dataset: For dataset cite: Tangney, Ryan et al. (2022), Data Supporting: Success of post-fire plant recovery strategies varies with shifting fire seasonality. Dryad, Dataset, https://doi.org/10.5061/dryad.7sqv9s4t5

DATA & FILE OVERVIEW 1. File List: This dataset comprises 20 .csv files that are called directly by the accompanied script. File descriptions below are listed in order of use within the accompanied script and Rmarkdown .html file

#Packages used and their version number

library(metaDigitise)
library(esc)
library(meta)
## Loading 'meta' package (version 5.2-0).
## Type 'help(meta)' for a brief overview.
## Readers of 'Meta-Analysis with R (Use R!)' should install
## older version of 'meta' package: https://tinyurl.com/dt4y5drs
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(dmetar)
## Extensive documentation for the dmetar package can be found at: 
##  www.bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/
library(ggplot2)
library(cowplot)
library(ggsci)





installed.packages()[names(sessionInfo()$otherPkgs), "Version"]
##        ggsci      cowplot      ggplot2       dmetar        dplyr         meta 
##        "2.9"      "1.1.1"      "3.3.5"   "0.0.9000"      "1.0.8"      "5.2-0" 
##          esc metaDigitise 
##      "0.5.1"      "1.0.1"
#Load in all dataframes used in the analysis and print

DataFull<- read.csv("FullMetaSet.csv")
DataTopic<-read.csv('TopicComp.csv')
DataByTopic<-read.csv('ByTopic.csv')
StudyDataRE_Between_Climate<- read.csv('RE_Between_Climate.csv')
StudyDataRE_Between_FN<- read.csv('RE_Between_FN.csv')
StudyDataRE_Between_VegType<- read.csv('RE_Between_VegType.csv')
StudyDataSur_Between_Climate<-read.csv("Sur_Between_Climate.csv")
StudyDataSur_Between_FN<-read.csv("Sur_Between_FN.csv")
StudyDataSur_Between_VegType<-read.csv("Sur_Between_VegType.csv")
StudyDataEPO_Between_Climate<- read.csv('REPO_Between_Climate.csv')
StudyDataEPO_Between_FN<- read.csv('REPO_Between_FN.csv')
StudyDataREPO_Between_Veg<- read.csv('REPO_Between_Veg.csv')
StudyDataRE_Within_Climate<- read.csv('RE_Within_Climate.csv')
StudyDataRE_Within_FN<- read.csv('RE_Within_FN.csv')
StudyDataRE_Within_Veg<- read.csv('RE_Within_Veg.csv')
StudyDataSur_Within_Climate<- read.csv('Sur_Within_Climate.csv')
StudyDataSur_Within_FN<- read.csv('Sur_Within_FN.csv')
StudyDataSur_Within_Veg<- read.csv('Sur_Within_Veg.csv')
DataFireMetric<- read.csv("FireMetrics.csv")
CaseStudy<- read.csv('CaseStudy.csv')
#Print and anotate each dataframe


library(kableExtra)
## 
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
## 
##     group_rows
kable (head(DataFull, booktabs = TRUE, linesep = ""))
Author Title PubDate Comparison VegType Climate FunctionalGroup FocusGroup VarType Metric HistoricFireSeason TreatmentPeriod TreatmentMean TreatmentSD TreatmentN ControlPeriod ControlMean ControlSD ControlN TimePoint TE seTE lower upper Latitude Longitude Outlier
Beyers and Wakeman1 Season of Burn Effects in Southern California Chaparral 2000 Between Shrubland Csb Obligate seeder Seeders Recruitment Seedling density Summer- Autumn Spring 5.400000 1.1067972 10 Autumn 6.600000 1.6443844 10 1 -0.8199848 0.4672529 -1.7357836 0.0958141 33 05 11N 116 54 23 W 0
Beyers and Wakeman2 Season of Burn Effects in Southern California Chaparral 2000 Between Shrubland Csb Obligate seeder Seeders Recruitment Seedling density Summer Winter 6.900000 2.0000000 11 Summer 4.600000 0.0900000 5 1 1.2859577 0.5905266 0.1285469 2.4433686 33 05 11N 116 54 23 W 1
Beyers et al. 1 Season of Burn Effects in Southern California Chaparral 2000 Between Shrubland Csb Obligate seeder Seeders Recruitment Seedling density Summer Autumn 5.400000 0.9000000 19 Summer 4.600000 0.0900000 5 1 0.9477648 0.5222125 -0.0757528 1.9712824 33 05 11N 116 54 23 W 1
Brewer Long-term population changes of a fire-adapted plant subjected to different fire seasons 2005 Between Savanna Cfa Resprouters (PFF) Post-fire flowering species Recruitment Seedling density Summer Winter 1.878696 0.0984272 94 Summer 6.212174 0.1297892 90 1 -37.5796488 1.9726125 -41.4458982 -33.7133994 30 07 03 N 84 15 21 W 1
Grant, C.D.1 Post-burn vegetation development ofrehabilitated bauxite mines in western Australia 2003 Between Forest Csa Resprouters and obligate seeders Plants Recruitment Seedling density Summer-Autumn Spring 20.964000 1.7448784 5 Autumn 53.239500 2.7063131 5 1 -12.8032879 3.2321245 -19.1381354 -6.4684403 32 17 S 116 08 E 0
Grant, C.D.2 Post-burn vegetation development ofrehabilitated bauxite mines in western Australia 2003 Between Forest Csa Resprouters and obligate seeders NAn-natives Recruitment Seedling density Summer-Autumn Spring 3.535367 0.6063769 5 Autumn 7.964800 1.4970475 5 1 -3.5029620 1.0733371 -5.6066641 -1.3992600 32 17 S 116 08 E 0
kable (head(DataTopic, booktabs = TRUE, linesep = ""))
ByGroup Comparison VarType Topic k k2 SMD LLCI ULCI Order
Topic Between histroic and altered fire season Recruitment Between histroic and altered fire season 19
-3.0277 -4.5822 -1.4733 1
Topic Between histroic and altered fire season Reproduction Between histroic and altered fire season 28
-0.4546 -1.5112 0.6020 1
Topic Between histroic and altered fire season Survival Between histroic and altered fire season 56
2.8949 1.9463 3.8436 1
Topic Within fire seasons Recruitment Within fire seasons 10
-0.0014 -0.9688 0.9660 2
Topic Within fire seasons Reproduction Within fire seasons 4
6.1052 -3.0237 15.2340 2
Topic Within fire seasons Survival Within fire seasons 16
-0.2911 -1.1304 0.5482 2
kable (head(DataByTopic, booktabs = TRUE, linesep = ""))
ByGroup Comparison VarType Topic k SMD LLCI ULCI k2
Climate Between histroic and altered fire season Cold semi-arid - Bsk Recruitment 1 -8.0684 -9.6161 -6.5208
Climate Between histroic and altered fire season Hot desert - Bsh Recruitment 3 -1.6668 -2.5990 -0.7346
Climate Between histroic and altered fire season Hot-summer Mediterranean - Csa Recruitment 4 -5.2580 -11.3482 0.8322
Climate Between histroic and altered fire season Humid subtropical - Cfa Recruitment 6 -2.5171 -5.9045 0.8704
Climate Between histroic and altered fire season Temperate oceanic - Cfb Recruitment 2 -2.5251 -3.3857 -1.6644
Climate Between histroic and altered fire season Warm-summer Mediterranean - Csb Recruitment 3 -0.8200 -1.7358 0.0958
kable (head(DataFireMetric, booktabs = TRUE, linesep = ""))
FireMetric Value Effect
Burn cover 1 Fire metrics
Burn size 1 Fire metrics
Flame height 3 Fire metrics
Flame length 1 Fire metrics
Maximum fuel moisture 1 Fire metrics
Minimum fuel moisture 1 Fire metrics
kable (head(CaseStudy, booktabs = TRUE, linesep = ""))
Study Author Title PubDate Comparison VegType Climate PlantGroup FunctionalGroup FloweringType FocusGroup Topic Metric HSF SP SM SSD SN HP HM HSD HN TimePoint TE seTE lower upper Order
29 Lesica et al.  Effects of prescribed fire and season and burn on recruitment of the invasive exotic plant, Potentilla recta, in a semiarid Grassland 2003 Between Grassland Dfb Invasive Sp Resprouters Non-Post-fire flowering Potentilla recta Survival Plant Number Summer- Autumn Spring 16.831372 0.7705413 11 Autumn 22.469262 2.1689311 11 1 -3.3324395 0.6994782 -4.7033917 -1.9614873 142
29 Lesica et al.  Effects of prescribed fire and season and burn on recruitment of the invasive exotic plant, Potentilla recta, in a semiarid Grassland 2003 Between Grassland Dfb Invasive Sp Resprouters Non-Post-fire flowering Potentilla recta Survival Plant Number Summer- Autumn Spring 10.232681 0.5883537 11 Autumn 8.160365 0.5883537 11 2 3.3884730 0.7068918 2.0029905 4.7739556 189
29 Lesica et al.  Effects of prescribed fire and season and burn on recruitment of the invasive exotic plant, Potentilla recta, in a semiarid Grassland 2003 Between Grassland Dfb Invasive Sp Resprouters Non-Post-fire flowering Potentilla recta Survival Plant Number Summer- Autumn Spring 7.446457 0.4789343 11 Autumn 9.728979 1.2460662 11 3 -2.3262454 0.5758784 -3.4549463 -1.1975444 146
29 Lesica et al.  Effects of prescribed fire and season and burn on recruitment of the invasive exotic plant, Potentilla recta, in a semiarid Grassland 2003 Between Grassland Dfb Invasive Sp Resprouters Non-Post-fire flowering Potentilla recta Survival Plant Number Summer- Autumn Spring 9.249075 0.5883537 11 Autumn 8.160365 0.5142116 11 4 1.8955907 0.5303767 0.8560714 2.9351099 183
29 Lesica et al.  Effects of prescribed fire and season and burn on recruitment of the invasive exotic plant, Potentilla recta, in a semiarid Grassland 2003 Between Grassland Dfb Invasive Sp Resprouters Non-Post-fire flowering Potentilla recta Survival Plant Number Summer- Autumn Spring 7.200555 0.5530764 11 Autumn 7.761766 1.0977819 11 5 -0.6211447 0.4387480 -1.4810750 0.2387856 157
33 Norden et al.  Persistence and prolonged winter dormancy of the federally endangered Schwalbea americana L. (Scrophulariaceae) following experimental management techniques 2004 Between Savanna Cfa Native Sp Resprouters (PFF) Post-fire flowering Schwalbea americana L., American Survival Density Winter Summer 19.512195 1.2673542 12 Winter 33.658537 2.2530742 12 1 -7.4722037 1.2483338 -9.9188930 -5.0255143 132

File details.

DataFull is the main file used in the analysis. DataFull is comprised of 133 pair wise comparisons and 27 variables. Author field is a shortened author title and identifier unique to each paper. Title field is the full title of the paper PubData field is the year the paper was published Comparison field identifies whether the paper compared between fire seasons (Between) or at different times within fire seasons (within) VegType field is high level vegetation grouping. Climate field is the Koppen classification code for each comparison FunctionalGroup is the high level groupings of fire response traits FoucsGroup field is a unused field in the analysis that details the specific groups measured in each paper VarType field corresponds to the variable measured , survival,reproduction or recruitment. Metirc field corridors with the metric used in the target paper - i.e. what was actually measured. HistoricFireSeason field identifies the historical season for that paper - this aligns with the control group. TreatmentPeriod field notes the season during which fires outside the historical season occurred. TreatmentMean field is the mean response associated with the treatment effects from target paper TreatmentSD field is the standard deviation associated with the treatment effects from target paper TreatmentN field is the sample size associated with the treatment effects from target paper ControlPeriod field notes the season during which fires inside the historical season occurred. ControlMean field is the mean response associated with the control effects from target paper ControlSD field is the standard deviation associated with the control effects from target paper ControlN field is the sample size associated with the control effects from target paper TimePoint the number of years following fire when measurements occurred. TE standardised hedges g for each paper seTE standard error of hedges g for each paper Latitude of the location of the study Longitude of the location of the study Outlier indicates whether this study is an outlier - results from outlier analysis.

StudyDataRE_Between_Climate, StudyDataRE_Between_FN, StudyDataRE_Between_VegType,StudyDataSur_Between_Climate, StudyDataSur_Between_FN, StudyDataSur_Between_VegType, StudyDataEPO_Between_Climate, StudyDataEPO_Between_FN, StudyDataREPO_Between_Veg, StudyDataRE_Within_Climate, StudyDataRE_Within_FN,StudyDataRE_Within_Veg, StudyDataSur_Within_Climate, StudyDataSur_Within_FN, StudyDataSur_Within_Veg are all subsets of DataFull and share the same variables. These dataframes are used to generate points in figures. Case study is another subset of DataFull and share the same variables, used to compare differences in time following fire fig 5.

DataTopic is the results of the subgroup analysis at the highest level - survival,recruitment, reproduction DataTopic comprised of 6 measures and 10 variables. Comparison field identifies whether the paper compared between fire seasons (Between) or at different times within fire seasons (within) VarType field corresponds to the variable measured , survival,reproduction or recruitment. k is the sample size within the subgroup 2k is the number of outliers present within the subgroup. SMD is the mean standardised effect size (hedges g) of that subgroup LLCI is lower confidence interval on the mean standardised effect size (hedges g) of that subgroup ULCI is upper confidence interval on the mean standardised effect size (hedges g) of that subgroup

ByTopic is the results of the broader subgroup anaylsis but share variable names with DataTopic.

DataFireMetric creates fig.4 and documents the usage of fire metrics and inter-fire metrics

FireMetric variable is name of the fire metric measured across the papers. Value is the number of times that fire metric appeared across the papers. Effect is a variable that associates the fire metric with it’s temporal effect.

Missing data codes: NA