DOI: 10.5061/dryad.q83bk3jqd
title: Decoupled responses of plants and soil biota to global change across the world’s land ecosystems

description: Understanding the concurrent responses of aboveground and belowground
 compartments to global changes is crucial for the maintenance of ecosystem
 functions and biodiversity conservation. We conducted a comprehensive
 analysis synthesizing data from 13,209 single observations and 3,223
 pairwise observations from 1,166 publications globally to examine the
 responses of plants and soil organisms and their synchronization. We found
 that global change factors (GCFs) generally promoted aboveground plant
 biomass but decreased plant species diversity. In comparison, the
 responses of belowground soil biota to GCFs were more variable and harder
 to predict. The analysis of the paired aboveground and belowground
 observations demonstrated that responses of plants and soil organisms to
 GCFs are decoupled among diverse groups of soil organisms for different
 biomes. Our study highlights the importance of integrative research on the
 aboveground-belowground system for improving predictions regarding the
 consequences of global environmental change.
description: The datasets analysed during the current study are available in the DRYAD
 repository( DOI: 10.5061/dryad.n5tb2rc23). Description of repository: This
 repository contains all of the code and data used to assess Decoupled
 responses of aboveground plants and soil biota to global change. All data
 and analyses mentioned in this study were conducted in R 4.0.5 (R core
 team 2019). The datafile contains the following files: Seven datasets:
 above_biomass.csv Metadata for aboveground plant biomass.
 above_diversity.csv Metadata for aboveground plant diversity.
 below_root_biomass.csv Metadata for belowground plant biomass.
 below_biomass.csv Metadata for belowground soil biota biomass.
 below_diversity.csv Metadata for belowground soil biota diversity.
 below_abundance.csv Metadata for belowground soil biota abundance.
 data.csv Metadata for both aboveground plant and belowground soil biota
 attributes. All variables in the datasets: Field Description Serial Number
 of the publication in our datasets Study First author of the publication
 Relationship type Types of plant and soil biota attributes collected from
 an observation Climate region Climate region of the experiments vegetation
 Vegetation types of aboveground plants Latitude Latitude of the
 experiments Longitude Longitude of the experiments MAT Mean annual
 temperature (Celsius) MAP Mean annual precipitation (mm) Treatments
 Treatments of Global Change Factors Duration Duration of experimental
 treatment (year) Intensity Intensity of experimental treatment
 Unit_treatment Units of treatment intensity Unit_above or Unit Attribute
 unit of aboveground plants T_CK_above Relative difference of the plants
 attribute between treatments and controls yi or yi_above Log transformed
 relative difference of the plants attribute vi or vi_above The variance of
 the relative difference aboveground Biota Major taxa of soil biota Species
 Minor taxa of soil biota Unit_below or Unit Attribute unit of belowground
 soil biota T_CK_below Relative difference of the soil biota attribute
 between treatments and controls yi or yi_below Log transformed relative
 difference of the soil biota attribute vi or vi_below The variance of the
 relative difference belowground This is the code to replicate the analyses
 and figures from the paper: Decoupled responses of aboveground plants and
 soil biota to global change. figure2 - figure4 Codes for output images in
 the main text. figureS2 - figureS17 Codes for output images in the
 supplementary material. Table1 Code for extracting results in Table1, with
 the results output in .csv format. Linear and non-linear model comparison
 Code for linear and non-linear model comparison, with the results output
 in .csv format in folders. Mean effect size The results output in .csv
 format for table S3 and S4. Publication bias analysis Code for publication
 bias analysis, with the results output in .csv format in folders.
 Supplemented missing standard deviation.R Code for imputing missing
 standard deviation. He C.Q. et al. were responsible for compiling the
 code. For any questions and usage of the code, please contact the author.
 Works are licensed under Attribution-NonCommercial 4.0 International.