Near-term modeled forest fire area and fuel aridity projections
收藏DataCite Commons2025-04-01 更新2025-04-09 收录
下载链接：
https://datadryad.org/dataset/doi:10.6071/M3WQ1R
下载链接
链接失效反馈官方服务：
资源简介：
Escalating burned area in western US forests has heightened the need to
refine near-term forest fire projections. One critical knowledge gap is
how fire-fuel feedbacks may constrain such projections. We use both static
climate-fire models and dynamic models that incorporate feedbacks to
project future western US forest-fire area. Compared to 1991-2020, static
models for 2021-2050 project a doubling in forest-fire area, increased
year-to-year variability, and increased occurrence of years with
forest-fire area exceeding the 2020 fire season. Dynamic models that
incorporate fire-fuel feedbacks project more moderate increases, but still
show a 46-90% increase in forest-fire area compared to 1991-2020. Our
results emphasize the need to mitigate against the negative
effects of more fire in the coming decades.
提供机构：
Dryad
创建时间：
2021-11-05
