Estimates of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories (ver. 2.0, February 2024)
Dates
Time Period
2023-08-24
Publication Date
2023-10-31
Revision
2024-02-14
Citation
Delaney, J.T., Van Appledorn, M., and Rohweder, J., 2023, Estimates of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories (ver. 2.0, February 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9KBFBHW.
Summary
This dataset contains predictions of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories from Pool 3 to Pool 13. Predictions were created using three machine learning algorithms (Bayesian additive regression trees, boosted trees, and random forest). This dataset contains rasters that provide habitat suitability predictions for each 12m raster cell that had forested landcover in 2010. In addition to one raster for each of the three algorithms an ensemble (mean prediction of all three algorithms) prediction raster for each pool is provided. The presence/absence observations used to train the model are contained in a .csv file with each plot location. First release: [...]
Summary
This dataset contains predictions of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories from Pool 3 to Pool 13. Predictions were created using three machine learning algorithms (Bayesian additive regression trees, boosted trees, and random forest). This dataset contains rasters that provide habitat suitability predictions for each 12m raster cell that had forested landcover in 2010. In addition to one raster for each of the three algorithms an ensemble (mean prediction of all three algorithms) prediction raster for each pool is provided. The presence/absence observations used to train the model are contained in a .csv file with each plot location.
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rcg_hsm_prediction_rasters_2.0.xml Original FGDC Metadata
View
47.77 KB
application/fgdc+xml
rcg_hsm_prediction_rasters.zip
46.73 MB
application/zip
rcg_presence_absence_locations.csv
169.31 KB
text/csv
VersionHistory.txt
888 Bytes
text/plain
Purpose
The predictions of habitat suitability could be used to better understand the extent of invasion, prioritize restoration efforts, and develop further research.