Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > North Central CASC > FY 2018 Projects > Predicting Future Forage Conditions for Elk and Mule Deer in Montana and Wyoming > Approved DataSets ( Show all descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2018 Projects _____Predicting Future Forage Conditions for Elk and Mule Deer in Montana and Wyoming ______Approved DataSets Filters
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Projected peak instantaneous rate of green-up date and spring scale across Wyoming from 2000 to 2099
These data represent projections of peak instantaneous rate of green-up date (PIRGd) and spring scale across Wyoming from 2000-2099. Annual data is provided in gridded time series at ~4 km spatial resolution. Projections were generated by applying linear mixed models to contemporary remote sensing data, and applying model parameters to future climate projection data from the MACA dataset. Projections were generated for 5 global climate models (GCMs) and 2 representative concentration pathway (RCP) scenarios: RCP 4.5 and RCP 8.5. Data starting in 2000 are provided to help assess accuracy of model projections against contemporary datasets, and provide a platform for comparison to projections for future years. These...
These data represent key phenology trends across the western United States from 1982-2016. Using two remote sensing datasets, CMGLSP and VIPPHEN-EVI2, trends were calculated for four phenology variables: Start of Season (SOS), Peak Instantaneous Rate of Green-Up Date (PIRGd), Peak of Season (POS), and End of Season (EOS). The Theil-Sen slope and standard deviation were applied to the phenology metrics to evaluate how phenology dates and variation in those dates have changed through time. The Mann-Kendall test was also applied to give an indication of trend significance. Lastly, we include the mean and standard deviation of each metric across the time period.
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