Dominant species determine drought effects on grassland multifunctionality

Extreme drought often diminishes ecosystem multifunctionality in grasslands, but the potential mechanisms behind these responses are conflicting. The diversity hypothesis posits that diverse species promote grassland multifunctionality through compensatory interactions, while the mass-ratio hypothesis suggests that the traits of dominant species control multifunctionality. It remains unknown whether either or both underpin multifunctionality responses to extreme drought.
Here we experimentally imposed an extreme two-year drought in two C3-dominated grasslands and analyzed 11 individual grassland functions (e.g., productivity, soil and plant nutrient pools) along with 17 community diversity and trait metrics (e.g., species diversity, functional diversity, phylogenetic diversity and community-weighted mean traits). Using structural equation modeling, we separated the effects of these community-based mechanisms on the drought sensitivity of grassland mult..., , # Data for: Dominant species determine drought effects on grassland multifunctionality

Dataset DOI: 10.5061/dryad.q2bvq840f

## Description of the data and file structure

We provide two datasets in CSV format (Biodiversity_index.csv; Multifunctionality_and_functions.csv), containing data on grassland multifunctionality, 11 individual grassland functions, and 17 community diversity and trait metrics from 2021 and 2022 (results averaged across EFS and NHG sites). Moreover, all missing values in the data are represented as “null.”

We also provide the code (code_for_R.zip) and the data used for calculations (Data_for_R.zip), which demonstrate all computational steps, statistical analyses, and graphing procedures performed in R_4.2.0.

Finally, we include the figures (figures.zip), containing PDF versions of all figures presented in the Manuscript and Supporting Information.
Dominant species determine drought effects on grassland multifunctionality

### Files and variables

## File: code_...,