Datasets
| Data Availability | Name | Objective | Description | Dates |
|---|---|---|---|---|
| Downloadable | Deer and snow effects on tree regeneration | Predicted effects of deer abundance and reduced snow depth on tree regeneration
These files show predicted change in tree regeneration (%) for different species or groups of species across the nort heastern USA under scenarios of 50% increased or decreased abundance of white-tailed deer, and either current snow depth or 50% reduced snow depth. The intent of these layers is to visualize potential impacts of greater browsing pressure in a warmer future climate, as well as impacts of strategies to reduce deer browse. Read More | 2025-06-01 (ongoing) | |
| Downloadable | Predictions of seedling gain | Likelihood of gains in seedling abundance under scenarios of increased and decreased white-tailed deer abundance
Predicted likelihood of gains in tree seedling abundance in forest inventory subplot s throughout the northeastern USA as described by Harris et al. (2025). Points are approximate (i.e., fuzzed and swapped) locations of Forest Inventory and Analysis (FIA) Regeneration Indicator plots. Predictions are at the subplot level, given on a 0-1 scale by tree species or palatability class (low-moderate or high) and seedling height class ("size" and "class"). Predictions are provided under observed ("p_obs") conditions, 50% decreased/increased deer abundance ("p_m50" and "p_p50"), and 50% decreased/increased deer abundance combined with 50% decreased snow depth ("p_m50_snow" and "p_p50_snow"). Percentage change in likelihood between observed conditions and each scenario is also given.
This work was supported by the Northeastern States Research Cooperative through funding made available by the USDA Forest Service. Read More | 2024-07-01 (ongoing) |
