Data and code from: Competition enables rapid adaptation to a warming range edge in a model plant community

Most predictions of whether populations will adapt to warming range edges ignore species interactions. We tested experimentally if range-edge populations can adapt to warming within a competitive, model plant community (Lemna spp. and Spirodela polyrhiza duckweeds). Notably, we found that adaptation to warming range edges was possible only when populations evolved with interspecific competitors. Moreover, competitors enabled the evolution of both high-temperature tolerance and increased thermal performance breadth at the range edge, but not at the cooler range core. Our results reveal that competitors accelerate thermal adaptation when there is a shared evolutionary response to both competition and warming. Overall, we highlight the urgency of including community context in predicting future range shifts, showing that antagonistic interactions do not necessarily hinder adaptation to climate deterioration.
, , , # Data and code from: Competition enables rapid adaptation to a warming range edge in a model plant community

[https://doi.org/10.5061/dryad.ngf1vhj45](https://doi.org/10.5061/dryad.ngf1vhj45)

## Description of the data and file structure

UsuiAngert_CompAdaptEdge.zip contains code and data to accompany the manuscript “Competition enables rapid adaptation to a warming range edge in a model plant community”.

by Takuji Usui* and Amy L. Angert

Corresponding author: [[e-mail]](mailto:[e-mail])

#### Description of the data and file structure

Analyses were conducted in R, version 4.3

1_code/: code to run analyses in paper

* 1_SiteQuality.R: models for tests of site quality (standardized growth rate)
* 2_TempAdaptByComp.R: models for tests of local adaptation by competition history
* 3_CompAdapt.R: models for tests of adaptation to competitors
* 4_GeneticChange.R: models for changes in genotype frequencies
* 5_TraitChange.R: models for changes in evolved trait v..., ,