Population genetic and climatic variability data across western North America, 1915-2015
Data for journal manuscript: Assessment of population genetics and climatic variability can inform climate-informed seed transfer guidelines
Dates
Publication Date
2020-04-15
Start Date
1915
End Date
2015
Citation
Massatti, R.T., and Shriver, R.K., 2020, Population genetic and climatic variability data across western North America, 1915-2015: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZY6MWI.
Summary
Environmental Analysis Data: These data were compiled to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. Due to complex topography, physiographic heterogeneity, and complicated relationships with large bodies of water, spatial autocorrelation of environmental similarity may be expected. We provide an R script (VarioAnalysis.R) that uses four associated data files (annualprecip.csv, annualSWA.csv, annualtemp.csv, key.csv) to reproduce Figure 3 in Massatti et al. 2020 (see Larger Work Citation). The data files contain information on yearly soil water availability, temperature, and precipitation, which are summed or averaged and used [...]
Summary
Environmental Analysis Data: These data were compiled to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. Due to complex topography, physiographic heterogeneity, and complicated relationships with large bodies of water, spatial autocorrelation of environmental similarity may be expected. We provide an R script (VarioAnalysis.R) that uses four associated data files (annualprecip.csv, annualSWA.csv, annualtemp.csv, key.csv) to reproduce Figure 3 in Massatti et al. 2020 (see Larger Work Citation). The data files contain information on yearly soil water availability, temperature, and precipitation, which are summed or averaged and used to test autocorrelations using semi variograms. There is also a shapefile (see Source Data) and raster (RasterbySiteID.tif) that ties all of the site-specific information together and places data into a spatial context. The script and data were developed, extracted, and/or compiled by R.K. Shriver. Genetic Analysis Data: These data were compiled to assess the relationship between genetic differentiation and geographic distance in the Intermountain West of the western United States. Included are 14 files: 13 tab-delimited text files that detail species-specific data and one R script (czi.R) that uses data within the 13 files to reproduce Figures 1 and 2 in Massatti et al. 2020 (see Larger Work Citation). Species-specific files include site names, location information (latitude/longitude), and information on which genetic population each site belongs to according to the original publication document (see Table 1 in the Larger Work Citation). The R script is annotated to provide important information regarding how the analyses work and how they can be modified if users want to tailor analyses to other geographic regions. The script and data were developed, extracted, and/or compiled by R. Massatti.
Environmental Analysis Data: The purpose of these data are to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. This question is addressed using publicly available data that is extracted for provisional seed transfer zones that guide the use and development of native plant materials for restoration purposes across the Intermountain West. By providing these data and the script, we hope that researchers interested in this approach can replicate analyses in other areas of interest. Genetic Analysis Data: The purpose of these data are to investigate how genetic relationships vary with geographic distance across the Intermountain West of the western United States. This relationship is developed by using species-specific genetic information that has been previously reported in the literature. These data are meant to inform climate-based seed transfer for species that do not have other information available. By providing these data and the script, we hope that researchers interested in this approach can replicate analyses in other areas of interest.
Rights
The author(s) of these data request that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
