Multi-generation analysis of whether local or genetically mixed populations perform best in restoration plantings

Data and analysis files to support the manuscript \"Multi-generation analysis of whether local or genetically mixed populations perform best in restoration plantings\".
Proper selection of genetic material is critical for restoring populations, with local seed often selected to maximize local adaptation. But, if local populations are small, inbred, or maladapted, then including genotypes from various populations may enhance population growth and long-term adaptation.
In the article, we report a novel test of whether planting locally sourced or genetically mixed populations results in higher fitness over single and multiple generations using Camissoniopsis cheiranthifolia, a species widely used in Pacific coastal dune restoration.
We tested for benefits of planting local vs. nonlocal seed using two reciprocal transplant experiments in unmanipulated dune habitat. In the second experiment, we also compared the fitness of descendants from unmanipulated populations to those from populations wh..., , # Data from: Multi-generation analysis of whether local or genetically mixed populations perform best in restoration plantings

Dataset DOI: [10.5061/dryad.tb2rbp0h6](https://doi.org/10.5061/dryad.tb2rbp0h6)

## Description of the data and file structure

These data were collected at Pacific coastal dune sites on individuals of the species *Camissoniopsis cheiranthifolia*. A transplant experiment was conducted in 2005 and the allyrs and dens_dat datasets are results of measuring random individuals at the transplant site and source populations from that experiment after several generations had passed. An additional transplant experiment was executed in 2018, and the tplants and aster_dat3 datasets are results of monitoring the fitness of those transplants throughout their lives. fitclimdat combines fitness data of the transplants from both 2005 and 2018 experiments with relevant climate variables from ClimateNA. 

Most analyses are conducted in CrossEckert2026_RestorationAnalyses.Rmd, wi..., ,