Data from: Multi-generation analysis of whether local or genetically mixed populations perform best in restoration plantings
收藏DataCite Commons2026-04-10 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.tb2rbp0h6
下载链接
链接失效反馈官方服务:
资源简介:
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



