Supporting Data Analysis for "Unifying Life History Analysis for Inference of Fitness and Population Growth"

1 online resource (PDF, 89 pages

Aster Models with Random Effects via Penalized Likelihood

1 online resource (PDF, 61 pages

ECOLOGY. How climate change affects plants' sex lives.

Shifts in plant sex ratios help plant species to expand upslope in a warmer climat

Why do coastal seeds fail? Evidence of local adaptation of northern red oak ( Quercus rubra ) in Minnesota coastal forests - Genomics and Geospatial Data

There are two gzipped VCF (Variant Calling Format) files with variants from ipyRAD and Freebayes. For the ipyRAD pipeline, a total of 412 individuals and 225,954 loci were identified, the dataset consisted of 358 northern red oak and 45 northern pin oak samples. For the Freebayes pipeline, a total of 412 individuals and 140,785 loci were identified, the dataset consisted of 358 northern red oak and 45 northern pin oak samples. No Filtering has been applied to any of these VCF files. A file containing sample IDs is also available There is also a .csv file containing the geospatial data of the visited populations in Minnesota. Populations were identified using the Minnesota Department of Natural Resources releve data. Coastal populations were located between 0-10 miles from the coast of Lake Superior, inland populations were located between 11-50 miles from the shore, and interior populations between 51-100 miles from the shore of Lake Superior.Genomic and Geospatial data for 30 northern red oak (Quercus rubra) used in a study to identify population structure and investigate poor performance of coastal seeds. We used restriction site associated DNA sequencing (RADseq) of 358 northern red oak (Quercus rubra) leaf tissue samples from trees across the state of Minnesota and 45 northern pin oak (Quercus ellipsoidalis) leaf tissue samples used as outgroups. We used the Minnesota Department of Natural Resources releve data, to identify populations across the state of Minnesota that had presence of Q. rubra trees.This data share was prepared by Maria Jose Gomez Quijano, Briana L. Gross and Julie R. Etterson using Federal funds under award NA17NOS4190062 from the Coastal Zone Management Act of 1972, as amended, administered by the Office for Coastal Management, National Oceanic and Atmospheric Administration (NOAA), U.S. Department of Commerce provided to the Minnesota Department of Natural Resources (DNR) for Minnesota’s Lake Superior Coastal Program. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of NOAA’s Office of Coastal Management, the U.S. Department of Commerce, or the Minnesota DNR