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Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040)

Dates

Start Date
1985-01-01
End Date
2040-12-31
Publication Date

Citation

Pastick, N.J., Wylie, B.K., Rigge, M.B., Dahal, D., Boyte, S.P., Jones, M.O., Allred, B.W., Parajuli, S., and Wu, Z., 2021, Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040): U.S. Geological Survey data release, https://doi.org/10.5066/P9Z85VET.

Summary

Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need to enhance regional monitoring capabilities to better guide management and conservation efforts. Here we provide estimates of historic and potential future trends in EAG abundance that were developed using linear trend analysis and machine learning techniques at a 30-m spatial resolution. Specifically, these data represent historic (1985 to 2019) and potential future (2025-2040) rates of exotic annual grass change as estimated using Theil-Sen regression and a process-constrained, random forest model assuming only changes in climate under [...]

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Extension: EAG_Trends_v1-0.zip
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EAG_Trends_v1-0.tif-ColorRamp.SLD 2.07 KB

Purpose

These data were generated to assess historic and potential future changes in exotic annual grass cover.

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ScienceBase WMS

ScienceBase WCS

Communities

  • USGS Data Release Products

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9Z85VET

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