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Presence and abundance data and models for four invasive plant species

January 14, 2022

We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the modeling workflow developed in Young et al. 2020, but developed models both for two data types, where species were present and where they were abundant. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We accounted for uncertainty related to sampling bias by using two alternative sources of background samples, and constructed model ensembles using the 10 models for each species (five algorithms by two background methods) for four different thresholds. This data bundle contains the presence and abundance merged data sets to create models for medusahead rye, red brome, venanata and bur buttercup, the eight raster files associated with each species/ data type (presence or abundance), and tabular summaries by management unit (including each species/ data type combination). The data are organized in a separate folder for each species. Each of the rasters represent the following:

1) 0.01 - one percentile threshold
2) 0.01 - one percentile threshold with Restricted Environmental Conditions

The bundle documentation files are:
1) 'AbundOccur.xml' (this file) which contains FGDC metadata describing the fields in the CSV files
2) 'mergedDataset.csv' contains the merged data set used to create the models, including location and environmental data.
3) XX.tif where XX is the raster type explained above.
4) managementSummaries.csv is the tabular summaries by management unit.

Publication Year 2022
Title Presence and abundance data and models for four invasive plant species
DOI 10.5066/P9MVEPP4
Authors Catherine S Jarnevich, Helen R Sofaer, Peder S Engelstad
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Fort Collins Science Center