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

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DataCite Commons2026-04-10 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.tb2rbp0h6
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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 where genotypes from genetically differentiated populations were transplanted ~ 10 generations previously. Several datasets are provided here based on these experiments, including data formatted for aster modelling.
提供机构:
Dryad
创建时间:
2026-04-06
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