Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units
Dates
Publication Date
2023-10-27
Start Date
1980
End Date
2022
Citation
Jarnevich, C.S., Engelstad, P., Henderson, G.C, Williams, D.A., Shadwell, K.S., Pearse, I.S., Prevey, J.S., and Sofaer, H.R., 2023, Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units: U.S. Geological Survey data release, https://doi.org/10.5066/P9VDIXJT.
Summary
Note: this version has been superseded by INHABIT V4.0, October 2024, available at https://doi.org/10.5066/P14HNEJF We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed 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 [...]
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed 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 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 three different thresholds (conservative to targeted). This data release contains tabular summaries by management unit (including each species/ ensemble type combination). These data will be integrated into the third version of the Invasive Species Habitat Tool (INHABIT), a web application displaying visual and statistical summaries of nationwide habitat suitability models for manager identified invasive plant species.
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Related External Resources
Type: Related Data Release
Jarnevich, C.S., LaRoe, J., Engelstad, P., Hays, B., Henderson, G., Williams, D., Shadwell, K., Pearse, I.S., Prevey, J.S., Sofaer, H.R., 2023, INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9V54H5K.
