Data and code from: Dynamics of biotic resistance to plant invasions

Biotic resistance, the reduction in invasion success caused by native
communities, plays an important role in the long-term dynamics of
biological invasions. We conducted a global meta-analysis of 240
experimental studies to assess the mechanisms by which and the extent to
which biotic resistance of native communities affects the performance of
alien plant species. Furthermore, we expanded the limited empirical
evidence on temporal dynamics by presenting a conceptual causal network
and an accompanying mathematical model to explore the eco-evolutionary
dynamics of biotic resistance mechanisms. This dataset contains the
extracted information from the 240 experimental studies, the R-code for
the meta-analysis on biotic resistance, and the R-code for the
mathematical model to explore the eco-evolutionary dynamics of biotic
resistance.

# Data and code from: Dynamics of biotic resistance to plant invasions
Dataset DOI:
[10.5061/dryad.c2fqz61qr](https://doi.org/10.5061/dryad.c2fqz61qr) ##
Description of the data and file structure We collected data from 240
published studies on biotic resistance to plant invasions. We calculated
Hedges’ *g* effect size statistic to measure the magnitude and direction
of biotic resistance and analysed the data using multilevel mixed-effects
meta-analytic models, controlling for phylogenetic and other types of
statistical non-independence. Additionally, we modelled biotic resistance
to invaders by native antagonists using an eco-evolutionary version of the
Lotka-Volterra model for predator-prey interactions. All analyses were
performed in R v4.4.0 (R Core Team, 2024). ### Files and variables ####
File: Sheppard_etal_Golivets_Biotic_resistance_meta-analysis.R
**Description:** R-code for the meta-analysis on biotic resistance to
plant invasions. #### File: Sheppard_etal_Golivets_data_metaanalysis.xlsx
**Description:** Data from 240 experimental studies on biotic resistance
to plant invasions are included in our meta-analysis. Data originates from
the papers indicated in the respective rows and was extracted and
structured by the authors of this dataset. ##### Variables * All variables
are explained in the datasheet "Metadata". #### File:
Sheppard_etal_Schurr_Model_for_the_temporal_dynamics_of_biotic_resistance_by_native_antagonists.R **Description:** R-code for the mathematical model on biotic resistance by native antagonists to plant invasions. ## Code/software The data was collected using the online software CADIMA, then exported to and further edited in Microsoft Excel. The R-code was run in R v4.4.0. ## Access information Other publicly accessible locations of the data: * None. Data was derived from the following sources: * Data was derived from the 240 papers listed in the Excel file or in Appendix 1 of the paper.