Dataset for "Environmental drivers of increased ecosystem respiration in a warming tundra"

Data for Nature manuscript titled

“Environmental drivers of increased ecosystem respiration in a warming tundra”

Corresponding author Dr. Sybryn Maes – [e-mail]

Github contains all R scripts on https://github.com/mjalava/tundraflux

Part A. Meta-analysis

The bold names refer to scripts (see the Github repository https://github.com/mjalava/tundraflux) and names in italics refer to files in this repository

df_0

-Study design Figure 1 and Extended Fig. 1 from main text

df_1a

-Effect size calculations of response (ER)

-Links to df_1.csv file with raw flux and environmental data

-Only the experiments that state ‘Open Access’ in the excel file Authors_Datasets (sheet 2). For experiments stating ‘Available Upon Request’, you need to contact the authors for the -raw flux data.

df_1b

-Effect size calculations of environmental drivers

-Links to df_1.csv file with raw flux data data (see above) and Dataset_ID.csv (this file includes all dataset IDs to merge the drivers into one dataframe)

df_2a-f

-Meta-analysis (2a) and meta-regression models (2b-f) (ER, N=136)

-Links to df_2.csv file with effect size data and context-dependencies and Forestplot_horiz_weights_fig.csv (this file includes the mean pooled Hedges SMD as well as the individual dataset Hedges SMD to plot figure 2)

-Contains code for Figs. 2-4 and Extended Figs 2-3

df_3

-Meta-regression for experimental warming duration

-Contains code for Fig. 5

df_4a           

-Effect size calculations of autotrophic-heterotrophic respiration partitioning (Ra, Rh, N=9)

-Links to df_3.csv file with raw partitioning data of subset experiments (output file df_4.csv)

df_4b           

-Sub-meta-analysis models (ER, Ra, Rh)

-Links to df_4.csv (input file)

NOTES

·       All additional input files for the meta-analysis R-scripts are included within the folders. 

·       ER, Ra, Rh = ecosystem, autotrophic, and heterotrophic respiration

·       N = sample size (number of datasets)

Part B. Upscaling results

For upscaling, the input data is described in the code files (see the Github repository) and the accompanying Readme.txt.

percentageChangeResp_tundraAlpine.tif: modelled change in respiration

baseResp_tundraAlpine.tif: baseline respiration (calculated from the data from literature)

modResp_tundraAlpine.tif: modelled respiration after warming (our calculations: (percentageChangeResp_tundraAlpine+1) * baseResp_tundraAlpine)

changeResp_tundraAlpine.tif: modResp-baseResp

standError_tundraAlpine.tif: standard error of modelled respiration (

standError_tundraAlpine_onlyDataUncertainty.tif: standard error of modelled respiration where only data uncertainty is taken into account