Presence and abundance data and models for four invasive plant species: merged data set to create the models
Dates
Publication Date
2021-12-21
Start Date
1980
End Date
2018
Citation
Jarnevich, C.S., Sofaer, H.R., and Engelstad, P.S., 2021, Presence and abundance data and models for four invasive plant species: U.S. Geological Survey data release, https://doi.org/10.5066/P9MVEPP4.
Summary
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 [...]
Summary
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 spatial data are organized in a separate folder for each species, each containing four rasters. Each of the rasters represent the following, with an occurrence (occ) and abundance (abund) version:
1) 1st - one percentile threshold
2) 1st_masked - one percentile threshold with Restricted Environmental Conditions
This file specifically, 2) 'mergedDataset.csv', contains the merged data set used to create the models, including location coordinates and associated environmental covariate data values.
The bundle documentation files are:
1) 'AbundOccur.xml' contains FGDC project-level metadata
2) 'mergedDataset.csv', which this metadata file specifically describes, 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 (occ or abund; masked or not).
4) managementSummaries.csv is the tabular summaries by management unit.
Click on title to download individual files attached to this item.
mergedDataset.xml Original FGDC Metadata
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application/fgdc+xml
mergedDataset.csv
78.76 MB
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Related External Resources
Type: Related Primary Publication
Jarnevich, C. S., Sofaer, H. R., & Engelstad, P. (2021). Modelling presence versus abundance for invasive species risk assessment. In A. Zhan (Ed.), Diversity and Distributions (Vol. 27, Issue 12, pp. 2454–2464). Wiley. https://doi.org/10.1111/ddi.13414
To provide information and documentation on the potential distribution and potential area of abundance of medusahead rye, red brome, venanata and bur buttercup in the western United States
