Supporting data for managing fire-prone forests in a time of decreasing carbon carrying capacity
收藏NIAID Data Ecosystem2026-05-01 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.djh9w0w76
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资源简介：
These data and code include surface fuels and prescribed fire emissions data from the Teakettle Experimental Forest in the Sierra Nevada, California, USA. These data include transect data of surface fuels and the emissions from a 2017 prescribed burn. Emissions from the prescribed burn were calculated using a stock change approach by subtracting pre-burn surface fuels from post-burn surface fuels. We used these data and a Monte Carlo simulation approach to estimate the frequency of prescribed burning required to reduce surface fuels following a widespread overstory tree mortality event.
Methods
These data were collected using a modified Brown's transect. The data are from Goodwin et al. (2020) and specifics of the sampling approach and calculations to convert point-intercept sampling to mass per unit area are described in the paper.
Goodwin, M.J. M.P. North, H.S.J. Zald, M.D. Hurteau. 2020. Changing climate reallocates the carbon debt of frequent-fire forests. Global Change Biology. 26:6180-6189. doi: 10.1111/gcb.15318.
创建时间：
2024-03-21
