Datasets to analyze sagebrush recovery with a dynamic reference approach in southwestern Wyoming, USA 1985-2018
Dates
Publication Date
2022-02-22
Start Date
1985-01-01
End Date
2018-12-31
Citation
Monroe, A.P., Nauman, T.W., Aldridge, C.L., O'Donnell, M.S., Duniway, M.C., Cade, B.S., Manier, D.J., and Anderson, P.J., 2022, Sagebrush recovery analyzed with a dynamic reference approach in southwest Wyoming, USA 1985-2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9OP5D76.
Summary
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with varying disturbance and environmental contexts over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwestern Wyoming, USA, using over 3 decades of remote sensing data (1985-2018). We also used quantile regression to evaluate factors that may affect [...]
Summary
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with varying disturbance and environmental contexts over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwestern Wyoming, USA, using over 3 decades of remote sensing data (1985-2018). We also used quantile regression to evaluate factors that may affect recovery including soils, weather, elevation, and well pad characteristics. Data formatting necessary for this analysis created two datasets, one with reference pixels identified after applying both local and general masks (data_local.csv) and the other with only general masks (data_general.csv).
Click on title to download individual files attached to this item.
formatted_datasets.xml Original FGDC Metadata
View
65.92 KB
application/fgdc+xml
data_general.csv
3.51 MB
text/csv
data_local.csv
3.39 MB
text/csv
Related External Resources
Type: Related Primary Publication
Monroe, A. P., Nauman, T. W., Aldridge, C. L., O’Donnell, M. S., Duniway, M. C., Cade, B. S., Manier, D. J., & Anderson, P. J. (2022). Assessing vegetation recovery from energy development using a dynamic reference approach. In Ecology and Evolution (Vol. 12, Issue 2). Wiley. https://doi.org/10.1002/ece3.8508
Datasets provided here were used to analyze sagebrush recovery and were based on reference pixels that were identified after applying either both local and general masks (local) or only general masks (general). These datasets are made available so our analyses may be reproduced or to be applied to future research questions.
