Global Meta-Analysis of Seed Endophyte Effects on Invasive Plant Performance

A global meta-analysis dataset from 2026 investigates the role of seed-borne microorganisms in alien plant invasions. The data, compiled by Zafar A. Reshi, supports the finding that seed endophytes generally enhance plant trait performance and can reduce trait variability. The dataset and accompanying R code are shared to ensure reproducibility of the analysis.

Use Cases

• Conducting meta-analyses on plant-microbe interactions based on aggregated global study results.
• Testing hypotheses about propagule quality versus quantity in invasion biology based on the described findings.
• Reproducing statistical analyses of how seed endophytes influence plant performance and trait variability.
• Investigating the co-dispersal of microbes and seeds as a factor in plant establishment success.

Strengths

• Dataset is 83.1 KB, making it lightweight and easy to download and inspect.
• Includes R code for analysis, supporting reproducibility of the published meta-analysis.
• License is CC-BY-4.0, allowing for broad reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment for some analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Zafar A. Reshi via figshare

Collection Method

Global meta-analysis of existing studies on seed endophytes and plant performance.

Freshness

Last updated 2026-05-06 09:54:42; freshness should be verified.

Geography

Global