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Modeling Impacts of Hurricanes on Current Aboveground Forest Carbon in New England 2020-2120

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DataONE2024-03-07 更新2024-06-08 收录
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https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-hfr/444/2
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Nature-based climate solutions are championed as a primary tool to mitigate climate change, especially in forested regions capable of storing and sequestering vast amounts of carbon. New England is one of the most heavily forested regions in the United States (over 75% forested by land area), and forest carbon is a significant component of regional climate mitigation strategies. Large infrequent disturbances, such as hurricanes, are a major source of uncertainty and risk for policies that rely on forest carbon for climate mitigation, especially as climate change is projected to alter the intensity and geographic extent of hurricanes. To date, most research into disturbance impacts on forest carbon stocks has focused on fire. Here we show that a single hurricane in the region can down between 121-250 MMTCO2e or 4.6-9.4% of the total aboveground forest carbon, much greater than the carbon sequestered annually by New England’s forests (16 MMTCO2e yr-1). However, the emissions from the storms are not instantaneous; it takes approximately 19 years for the downed carbon to become a net emission, and 100 years for 90% of the downed carbon to be emitted. Using the HURRECON and EXPOS models to reconstruct hurricanes across a range of historical and projected wind speeds, we find that an 8% and 16% increase in hurricane wind speeds leads to a 10.7 and 24.8 fold increase in the extent of high-severity damaged areas (widespread tree mortality). Increased wind speed also leads to unprecedented geographical shifts in damage; both inland and northward into heavily forested regions traditionally unaffected by hurricanes. Given that a single hurricane can emit the equivalent of 10+ years of carbon sequestered by forests in New England, the status of these forests as a durable carbon sink is uncertain. Understanding the risks to forest carbon stocks from large infrequent disturbances is necessary for decision-makers relying on forests as a nature-based climate solution. This data set contains the aggregated modeling outputs of our modeling efforts summarized by state, county, and ecoregion, as well as the scripts to analyze and generate the data. It also contains eight 30-meter resolution raster files depicting the aboveground forest carbon for hardwood and softwood trees in US tons per pixel across four height range classifications in New England. The raster files are a product of the Forest Service FIA’s BIGMAP (FIA's cloud-based national scale modeling, mapping, and analysis environment for US forests).
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2024-03-07
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