These data include the abundance, emergence, and persistence of puncturevine (Tribulus terrestris), a harmful invasive species in Western North America. We mapped the demography and distribution of this plant in Boise, ID, United States in summer 2020. These data include both the mapped plots and puncturevine points as well as .csv files with spatial covariates related to puncturevine outbreaks.
Description of the Data and file structure
The “abundance_data.csv” file includes a column for the plot id, titled, “id,” which can be matched to the “Abundance_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Count,” the number of flowering puncturevine plants in each plot, “block_id,” a spatial unit that represents a transect with many plots collected on a single day, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, and “street,” the name of the nearest street.
The “emergence_data.csv” file includes a column for the plot id, titled “id,” which can be matched to the “id” column in the “Repeat_sampling_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Emergence,” whether a flowering puncturevine was recorded in a plot that previously had no record of flowering puncturevine, “block_id,” a spatial unit that represents a transect which was repeatedly walked during summer 2020, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, “street,” the name of the nearest street, “Time”, the recorded time a plot was measured, and “Time Factor,” a grouping variable to indicate weekly intervals of measurement.
The “persistence_data.csv” file includes a column for the plot id, titled “id,” which can be matched to the “id” column in the “Repeat_sampling_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Persistence,” whether zero flowering puncturevines were recorded in a plot that previously had a record of flowering puncturevine, “block_id,” a spatial unit that represents a transect which was repeatedly walked during summer 2020, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, “street,” the name of the nearest street, “Time”, the recorded time a plot was measured, and “Time Factor,” a grouping variable to indicate weekly intervals of measurement.
The “Repeat_sampling_plots.geojson” file represents spatial data on the location of plots and transects used to generate the “persistence_data.csv” and “emergence_data.csv” files. The “Repeat_sampling_points.geojson” file is spatial data on recorded puncturevine points associated with each plot at approximately weekly intervals.
The “Abundance_plots.geojson” file represents spatial data on the location of plots and transects used to generate the “abundance_data.csv” file. The “Abundance_points.geojson” file represents the recorded location of individual puncturevine plants in plots.
Links to other publicly accessible locations of the data:
Was data derived from another source?
If yes, list source(s):
Bare ground cover was derived from 2019 imagery with 1 m resolution from the U.S. Department of Agriculture’s National Agriculture Imagery Program (NAIP).
Property value and property acreage were extracted from cadastral data provided by the Ada County Assessor’s office.
Street betweenness was created using a GIS layer developed by the City of Boise in 2016 that included both roads and bicycle and pedestrian-only paths.
Socio-ecological interactions promote outbreaks of a harmful invasive plant in an urban landscape:
These data include the abundance, emergence, and persistence of puncturevine (Tribulus terrestris), a harmful invasive species in Western North America. We mapped the demography and distribution of this plant in Boise, ID, United States in summer 2020. These data include both the mapped plots and puncturevine points as well as .csv files with spatial covariates related to puncturevine outbreaks.
Description of the Data and file structure
The “abundance_data.csv” file includes a column for the plot id, titled, “id,” which can be matched to the “Abundance_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Count,” the number of flowering puncturevine plants in each plot, “block_id,” a spatial unit that represents a transect with many plots collected on a single day, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, and “street,” the name of the nearest street.
The “emergence_data.csv” file includes a column for the plot id, titled “id,” which can be matched to the “id” column in the “Repeat_sampling_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Emergence,” whether a flowering puncturevine was recorded in a plot that previously had no record of flowering puncturevine, “block_id,” a spatial unit that represents a transect which was repeatedly walked during summer 2020, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, “street,” the name of the nearest street, “Time”, the recorded time a plot was measured, and “Time Factor,” a grouping variable to indicate weekly intervals of measurement.
The “persistence_data.csv” file includes a column for the plot id, titled “id,” which can be matched to the “id” column in the “Repeat_sampling_plots.geojson” file. Other columns include “Bare Ground”, the number of Bare Ground pixels in a 30 m radius around each plot, “Persistence,” whether zero flowering puncturevines were recorded in a plot that previously had a record of flowering puncturevine, “block_id,” a spatial unit that represents a transect which was repeatedly walked during summer 2020, “Betweenness,” a measure of connectivity on the street network, “plot_area,” the area of each plot in meters, “Acres,” the land area of the nearest property, “Total Value,” the assessed value of the nearest property in USD, “street,” the name of the nearest street, “Time”, the recorded time a plot was measured, and “Time Factor,” a grouping variable to indicate weekly intervals of measurement.
The “Repeat_sampling_plots.geojson” file represents spatial data on the location of plots and transects used to generate the “persistence_data.csv” and “emergence_data.csv” files. The “Repeat_sampling_points.geojson” file is spatial data on recorded puncturevine points associated with each plot at approximately weekly intervals.
The “Abundance_plots.geojson” file represents spatial data on the location of plots and transects used to generate the “abundance_data.csv” file. The “Abundance_points.geojson” file represents the recorded location of individual puncturevine plants in plots.
Sharing/access Information
Links to other publicly accessible locations of the data:
Was data derived from another source?
If yes, list source(s):
Bare ground cover was derived from 2019 imagery with 1 m resolution from the U.S. Department of Agriculture’s National Agriculture Imagery Program (NAIP).
Property value and property acreage were extracted from cadastral data provided by the Ada County Assessor’s office.
Street betweenness was created using a GIS layer developed by the City of Boise in 2016 that included both roads and bicycle and pedestrian-only paths.