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Data and code for: A century of reforestation reduced anthropogenic warming in the eastern United States

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NIAID Data Ecosystem2026-05-01 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.w0vt4b8wk
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Restoring and preserving the world’s forests are promising natural pathways to mitigate some aspects of climate change. In addition to regulating atmospheric carbon dioxide concentrations, forests modify surface and near-surface air temperatures through biophysical processes. In the eastern United States (EUS), widespread reforestation during the 20th century coincided with an anomalous lack of warming, raising questions about reforestation’s contribution to local cooling and climate mitigation. Using new cross-scale approaches and multiple independent sources of data, we uncovered links between reforestation and the response of both surface and air temperature in the EUS. Ground- and satellite-based observations showed that EUS forests cool the land surface by 1–2 °C annually compared to nearby grasslands and croplands, with the strongest cooling effect during midday in the growing season, when cooling is 2 to 5 °C. Young forests (20–40 years) have the strongest cooling effect on surface temperature. Surface cooling extends to the near-surface air, with forests reducing midday air temperature by up to 1 °C compared to nearby non-forests. Analyses of historical land cover and air temperature trends showed that the cooling benefits of reforestation extend across the landscape. Locations surrounded by reforestation were up to 1 °C cooler than neighboring locations that did not undergo land cover change, and areas dominated by regrowing forests were associated with cooling temperature trends in much of the EUS. Our work indicates reforestation contributed to the historically slow pace of warming in the EUS, underscoring reforestation’s potential as a local climate adaptation strategy in temperate regions. Methods The data utilized in this study is openly available and can be accessed via the links provided below. The data has been processed in accordance with the methodology outlined in the methods section of the paper. Data Purpose in Paper Specific Figure in Paper URL Delaware Air Temperature & Precipitation Dataset Gridded 0.5 ° time series of monthly Ta Fig 1c,Fig 5d https://psl.noaa.gov/data/gridded/data.UDel_AirT_Precip.html North American Carbon Program Forest Age Maps Gridded 1 km forest age estimates Fig 1a, Fig 5c https://daac.ornl.gov/NACP/guides/NA_Tree_Age.html FOREcasting SCEnarios of Land-use Change  (FORE-SCE) Backcasting Grids Historical Land Use Change - 250 m resolution Fig 1b, Fig 5b, Fig 5d https://www.sciencebase.gov/catalog/item/59d3c73de4b05fe04cc3d1d1 MODIS Land Surface Temperature Product (MYD11A1v6.1) Remotely Sensed Surface Temperature Fig 3a, 3b https://lpdaac.usgs.gov/products/myd11a1v061/ Ameriflux Tower Data Tower Data for Paired and Flux Tower Syntheses Fig 3c, 3d, 4 a-d. https://ameriflux.lbl.gov/ NEON Tower Data Tower Data for Flux Tower Synthesis Fig 4 a-d https://data.neonscience.org/data-products/DP4.00200.001 National Land Cover Database 30 m Land cover for transect analyses Fig 4e https://www.mrlc.gov/data?f%5B0%5D=category%3Aland%20cover&f%5B1%5D=region%3Aconus Landsat Provisional Surface Temperature Remotely Sensed Surface Temperature for Transect analyses Fig 4e https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-level-2-provisional-surface United States Historical Climate Network  (USHCN) Meteorological Station Historical Air Temperature Data Fig 5a, 5b https://www.ncei.noaa.gov/pub/data/ushcn/v2.5/ Daymet Gridded Mesoscale Air Temperature Fig 3a, Fig 3b, Fig 4a-d, Fig 4e
创建时间:
2024-01-23
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