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

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2024-02-29, 2024-02-29

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Data for Nature manuscript titled “Environmental drivers of increased ecosystem respiration in a warming tundra” Corresponding author Dr. Sybryn Maes – sybryn.maes@gmail.com 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

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