Historical and projected climatic protection from spruce beetle infestation in Alaska, 1988-2099
Dates
Metadata Creation Date
2024-04-30 13:29
Citation Publication Date
2023-10-13
Start Date
1988-01-01
End Date
2099-12-31
Citation
Fresco, N., Redilla, K., Stephenson, C., Moan, J., Brannoch, S., & Littell, J. (2024). Historical and projected climatic protection from spruce beetle infestation in Alaska, 1988-2099. U.S. Geological Survey ScienceBase. https://doi.org/10.21429/BMGZ-XP71
Summary
This dataset is the product of a climate-driven model of beetle survival and reproduction in Alaska. We used that model to create this dataset of landscape-level “risk” of the climatic component of beetle infestation across the forested areas of Alaska. This risk component can best be applied as protection of the landscape offered by the climate and is categorized as high, medium, and low. It does not consider other major factors, such as existing beetle and predator populations or forest susceptibility. We computed these values over one historical period (1988-2017) using the NCAR Daymet model, and three future periods (2010-2039, 2040-2069, 2070-2099) using four statistically downscaled global climate model projections, each run [...]
Summary
This dataset is the product of a climate-driven model of beetle survival and reproduction in Alaska. We used that model to create this dataset of landscape-level “risk” of the climatic component of beetle infestation across the forested areas of Alaska. This risk component can best be applied as protection of the landscape offered by the climate and is categorized as high, medium, and low. It does not consider other major factors, such as existing beetle and predator populations or forest susceptibility. We computed these values over one historical period (1988-2017) using the NCAR Daymet model, and three future periods (2010-2039, 2040-2069, 2070-2099) using four statistically downscaled global climate model projections, each run under two plausible greenhouse gas futures (RCP 4.5 and 8.5).