Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA
Dates
Publication Date
2019-11-12
Start Date
2015-01-01
End Date
2114-12-31
Citation
Monroe, A.P., Aldridge, C., O'Donnell, M., Manier, D., Homer, C., and Anderson, P.J., 2019, Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9DQ5INM.
Summary
In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. In revision). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov.tif' and 'perc_recov.tif' are rasters for predicted time to recovery and percent recovery after 100 years, respectively, [...]
Summary
In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. In revision). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov.tif' and 'perc_recov.tif' are rasters for predicted time to recovery and percent recovery after 100 years, respectively, for following energy development across the WLCI area. Literature cited: Monroe, A. P., C. L. Aldridge, M. S. O'DOnnell, D. J. Manier, C. G. Homer, and P. J. Anderson. 2020. Using remote sensing products to predict recovery of vegetation across space and time following energy development. Ecological Indicators 110:105872.
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Related External Resources
Type: Related Primary Publication
Adrian P. Monroe, Cameron L. Aldridge, Michael S. O'Donnell, Daniel J. Manier, Collin G. Homer, Patrick J. Anderson, Using remote sensing products to predict recovery of vegetation across space and time following energy development, Ecological Indicators, Volume 110, 2020, 105872, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2019.105872.
Monroe, A.P., Aldridge, C., O'Donnell, M., Manier, D., Homer, C., and Anderson, P.J., 2021, Predicted rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January, 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9XV8GH7.
Prediction maps may help inform restoration and mitigation following similar disturbance types and provide a realistic sense of consequences from disturbance in this landscape.
