Thresholded abundance models for three invasive plant species in the United States

Dates

Publication Date: 2023-05-08
Start Date: 1980
End Date: 2021

Citation

Beaury, E., Jarnevich, C.S., Pearse, I.S., Evans, A., Teich, N., Engelstad, P., LaRoe, J., Henderson, G., and Bradley, B., 2023, Thresholded abundance models for three invasive plant species in the United States: U.S. Geological Survey data release, https://doi.org/10.5066/P939IXCP.

Summary

We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms with [...]

Summary

We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We selected background samples using the target background approach, and took an alternative approach to construct model ensembles by combining first percentile and ten percentile threshold rules (suitability values associated with the lowest one percent and lowest ten percent of the training data) to categorize the continuous output from each algorithm into low (below the one percentile), moderate (between the one and ten percentile), and high (above the ten percentile) suitability. Finally, we summed these to create an ensemble. This data bundle contains the merged data sets used to create the models, the composite raster files for each abundance threshold associated with each species, tabular summaries by management unit (including each species/ composite type combination), and the occurrence points with their associated cover. The spatial data are organized in a separate folder for each species, each containing 5 rasters describing potential habitat suitability for the species at the different abundance thresholds. Each of the rasters represent the composite map (composite_abundX.tif) for each abundance threshold. The bundle documentation files are: 1) 'thresholded_abundance_project_metdata.xml' (this file) which contains the project-level metadata 2) 'mergedDataset.csv' contains the merged data set used to create the models, including location and associated environmental data, for all three species for each thresholded abundance. 3) XX.tif where XX is the raster type explained above (abundance threshold). 4) managementSummary.csv is the tabular summaries by management unit.

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Contacts

Point of Contact :: Catherine S Jarnevich
Originator :: Evelyn Beaury, Catherine S Jarnevich, Ian S Pearse, Annette Evans, Nathan B Teich, Peder S Engelstad, Jillian M Laroe, Grace C Henderson, Bethany Bradley
Metadata Contact :: FORT Data Management, USGS Fort Collins Science Center
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Fort Collins Science Center
USGS Mission Area :: Ecosystems

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managementSummary.zip		1,004.66 KB	application/zip
mergedDataset.zip		21.2 MB	application/zip
threshold_abundance_project_metadata.xml Original FGDC Metadata	View	61.87 KB	application/fgdc+xml

Related External Resources

Type: Related Primary Publication

Beaury, E.M., Jarnevich, C.S., Pearse, I., Evans, A.E., Teich, N., Engelstad, P., LaRoe, J., and Bradley, B.A., 2023, Modeling habitat suitability across different levels of invasive plant abundance: Biological Invasions, https://doi.org/10.1007/s10530-023-03118-z.	https://doi.org/10.1007/s10530-023-03118-z

Purpose

Evaluate how species distribution models predict suitability for different levels of abundance for three invasive plants.

Thresholded abundance models for three invasive plant species in the United States

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