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Ethan (Contractor) E Berman

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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...
Wildlife aggregation patterns can influence disease transmission. However, limited research evaluates the influence of anthropogenic and natural factors on aggregation. Many managers would like to reduce wildlife contact rates, driven by aggregation, to limit disease transmission. We develop a novel analytical framework to quantify how management activities such as supplemental feeding and hunting versus weather drive contact rates while accounting for correlated contacts. We apply the framework to the National Elk Refuge (NER), Wyoming, USA, where the probable arrival of chronic wasting disease (CWD) has magnified concerns. We used a daily proximity index to measure contact rates among 68 global positioning system...
Categories: Publication; Types: Citation
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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.
This dataset contains daily fractional snow covered area (fSCA) at 30-m spatial resolution from August 1, 2015 - May 15, 2020 (five winters) for the National Elk Refuge in Wyoming, USA. The following summary statistics are also included: date of snow accumulation, date of snow melt, number of days in year with snow on ground, and percentage of "winter days" in year with snow on ground. The SNOWARP algorithm was used to produce these data (Berman et. al., 2018; see full citation below), in which dynamic time warping fuses together MODIS MOD10A1 with Landsat level-3 fSCA, resulting in daily 30-m fSCA estimates. All dates correspond to winter day of year (WDOY), which runs between August 1 - July 31 each season and...
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