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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (1) Types GeoTIFF (1) Map Service (1) Raster (1) Contacts Phillip J van Mantgem Adrian J Das Western Ecological Research Center U.S. Geological Survey James H Thorne More... Tag Types Theme (1) Place (1) USGS Scientific Topic Keyword (1) Harvest Set (1) Tag Schemes ISO 19115 Topic Category (1) USGS Thesaurus (1) Common Geograhic Areas (1) View Results as: JSON ATOM CSV

Data for Use in poscrptR Post-fire Conifer Regeneration Prediction Model These data support poscrptR (Wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected in 4.4m radius plots (60 square meters). Please refer to Stewart et al. (2020) for more details concerning field data collection, the model fitting process, and limitations. Learn more about shiny apps at https://shiny.rstudio.com. The app is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app requires the user to upload two input data sets: 1. a raster of Relativized differenced Normalized... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Botany, California, Forestry, Oregon, USGS Science Data Catalog (SDC), All tags... biota, elevation, environment, forest ecosystems, geoscientificInformation, geospatial datasets, gymnosperms, imageryBaseMapsEarthCover, topography, Fewer tags