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

  • Sybryn Maes (Ophavsmand)
  • Jan Dietrich (Ophavsmand)
  • Gabriele Midolo (Ophavsmand)
  • Sarah Schwieger (Ophavsmand)
  • Matti Kummu (Ophavsmand)
  • Vigdis Vandvik (Ophavsmand)
  • Rien Aerts (Ophavsmand)
  • Inge Althuizen (Ophavsmand)
  • Christina Biasi (Ophavsmand)
  • Robert G. Björk (Ophavsmand)
  • Hanna Böhner (Ophavsmand)
  • Michele Carbognani (Ophavsmand)
  • Giorgio Chiari (Ophavsmand)
  • Casper T. Christiansen (Ophavsmand)
  • Karina E. Clemmensen (Ophavsmand)
  • Elisabeth J. Cooper (Ophavsmand)
  • Hans Cornelissen (Ophavsmand)
  • Bo Elberling (Ophavsmand)
  • Patrick Faubert (Ophavsmand)
  • Ned Fetcher (Ophavsmand)
  • T'ai Forte (Ophavsmand)
  • Joseph Gaudard (Ophavsmand)
  • Konstantin Gavazov (Ophavsmand)
  • Zhen-Huan Guan (Ophavsmand)
  • Jón Guðmundsson (Ophavsmand)
  • Ragnhild Gya (Ophavsmand)
  • Sara Hallin (Ophavsmand)
  • Brage Bremset Hansen (Ophavsmand)
  • Siri V. Haugum (Ophavsmand)
  • Jin-Sheng He (Ophavsmand)
  • Caitlin Hicks Pries (Ophavsmand)
  • Mark Hovenden (Ophavsmand)
  • Mika Jalava (Ophavsmand)
  • Ingibjörg Svala Jónsdóttir (Ophavsmand)
  • Jaanis Juhanson (Ophavsmand)
  • Ji Young Jung (Ophavsmand)
  • Elina Kaarlejärvi (Ophavsmand)
  • Minjung Kwon (Ophavsmand)
  • Richard Lamprecht (Ophavsmand)
  • Mathilde Le Moullec (Ophavsmand)
  • Hanna Lee (Ophavsmand)
  • Maija E. Marushchak (Ophavsmand)
  • Anders Michelsen (Ophavsmand)
  • Tariq Munir (Ophavsmand)
  • Eero Myrsky (Ophavsmand)
  • Cecilie Skov Nielsen (Ophavsmand)
  • Marion Nyberg (Ophavsmand)
  • Johan Olofsson (Ophavsmand)
  • Hlynur Óskarsson (Ophavsmand)
  • Thomas C. Parker (Ophavsmand)
  • Emily Pickering Pedersen (Ophavsmand)
  • Matteo Petit Bon (Ophavsmand)
  • Alessandro Petraglia (Ophavsmand)
  • Katrine Raundrup (Ophavsmand)
  • Nynne R. Ravn (Ophavsmand)
  • Riikka Rinnan (Ophavsmand)
  • Heidi Rodenhizer (Ophavsmand)
  • Ingvild Ryde (Ophavsmand)
  • Niels Martin Schmidt (Ophavsmand)
  • Ted Schuur (Ophavsmand)
  • Sofie Sjogersten (Ophavsmand)
  • Sari Stark (Ophavsmand)
  • Maria Strack (Ophavsmand)
  • Jim Tang (Ophavsmand)
  • Anne Tolvanen (Ophavsmand)
  • Joachim Paul Töpper (Ophavsmand)
  • Maria Väisänen (Ophavsmand)
  • Richard van Logtestijn (Ophavsmand)
  • Carolina Voigt (Ophavsmand)
  • Josefine Walz (Ophavsmand)
  • James Weedon (Ophavsmand)
  • Yuanhe Yang (Ophavsmand)
  • Henni Ylänne (Ophavsmand)
  • Mats P. Björkman (Ophavsmand)
  • Judith Sarneel (Ophavsmand)
  • Ellen Dorrepaal (Ophavsmand)
  • Simone Iris Lang (Ophavsmand)

Data set

Beskrivelse

Data for Nature manuscript titled “Environmental drivers of increased ecosystem respiration in a warming tundra” Corresponding author Dr. Sybryn Maes – [email protected] 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
Dato for tilgængelighed29 feb. 2024
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