Data for: Extreme drought impacts have been underestimated in grasslands and shrublands globally

Smith, Melinda1 ; Wilkins, Kate2 ; Ohlert, Timothy1

Published Jan 17, 2024 on Dryad. https://doi.org/10.5061/dryad.3j9kd51rb

Data files

Jan 17, 2024 version files 361.53 KB

climdat2.csv

7.51 KB
data.hab.csv

4.97 KB
data.mean1.csv

13.67 KB
datappt_ai3.csv

16.68 KB
datappt_MAP2.csv

15.68 KB
datappt_pryr.csv

16.11 KB
datapptgram1.csv

66.88 KB
drt.ave.csv

8.02 KB
Dryad_data_site_info.csv

11.99 KB
Dryad_submission_datappt_cv2.csv

16.57 KB
Dryad_submission_datappt_rich2.csv

8.19 KB
Dryad_submission_datapptsand2.csv

15.08 KB
Dryad_submission_gram.ave.csv

4.74 KB
Dryad_submission.R

32.66 KB
ds.map.csv

91.08 KB
dt3.120.csv

14.33 KB
dt3.all.csv

14.87 KB
README.md

2.50 KB

Abstract

Data for publication "Extreme drought impacts have been underestimated in grasslands and shrublands globally." In this publication, we used a globallly distributed network of drought experiments to assess the impact of extreme, single-year drought events on aboveground net primary productions in grassland and shrubland ecosystems. The data and script necessary to reproduce figures and analyses for the manuscript may be found in this repository. The single script combines all of the data frames in order to run statistical models, create figures, and produce any additional statistics referenced in the publication. Data in this repository include the reponses of aboveground net primary production to drought treatments at 100 sites, abiotic information about the sites such as mean annual precipitation, annual precipitaiton, and soil sand content, along with biotic characteristics about these sites including species richness and the percent of vegetative cover by graminoids. Though the data published here may be freely reused, we encourage users to contact the authors of this dataset and the linked publication in order to facilitate the best practices for use of data.

README: Data for "Extreme drought impacts have been underestimated in grasslands and shrublands globally"

Description of the data and file structure

The structure of this repository is relatively simple, with one single R script (Dryad_submission.R) which uses data from seven .csv files in order to reproduce results and figures from the publication. The datasets can all be linked by the site_code column which is the unique identifier for each of the 100 sites in the study.

Dryad_data_site_info.csv

This file includes information for the sites in the Drought Network International Drought Experiment including the full name, continent, country, habitat type, mean annual precipitation, and aridity index values.

dt3.all.csv & drt3.120

Contains information as to the mean drought response at each site (mean_DS3), number of replicates at each site (n), standard deviation of response (sd), standard error of response (se), lower and upper bounds of 95% confidence interval, and whether the site was significantly different from zero.

Dryad_submission_datappt_cv2.csv

Includes dt3.all plus the interannual precipitation variability (cv_ppt_inter)

Dryad_submission_datappt_rich2.csv

Includes dt3.all plus the average richness at each site

drt.ave.csv

Includes drought severity (drtpct_map), number of treatment days, and response (mean_DS3)

ds.map.csv

Plot level precipitation values

Dryad_submission_gram.ave.csv

Includes the proportion of vegetative cover from graminoids at each site

Dryad_submission_datapptsand2.csv

Includes dt3.all plus the average sand content for each site

Dryad_data_site_info.csv

Includes information about continent, country, mean annual precipitation (precip), and aridity (arid) for each site

datapptgram1.csv

Plot level percent graminoid

climdat2.csv

Includes mean annual precipitation (precip) and mean annual temperature (temp) for each site

datappt_pryr.csv

Includes dt3.all plus the drought severity of the prior year (drtpct_map730)

datappt_MAP2.csv

Includes dt3.all plus mean annual precipitation (precip)

datappt_ai3.csv

Includes dt3.all plus the log of the aridity index (logAI)

data.mean1.csv & data.hab.csv

Same variables as defined in dt3.all

Sharing/Access information

Please contact the authors if you are interested in using these data. The data are free to reuse but contacting the authors prior to reuse will ensure the data are used according to best practices.