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  • 标题:The NEON Daily Isotopic Composition of Environmental Exchanges Dataset
  • 本地全文:下载
  • 作者:Catherine E.Finkenbiner ; Bonan Li ; Lindsey Spencer
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-8
  • DOI:10.1038/s41597-022-01412-4
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:The National Ecological Observatory Network (NEON) provides open-access measurements of stable isotope ratios in atmospheric water vapor (δ2 H, δ18O) and carbon dioxide (δ13C) at diferent tower heights, as well as aggregated biweekly precipitation samples (δ2 H, δ18O) across the United States . These measurements were used to create the NEON Daily Isotopic Composition of Environmental Exchanges (NEON-DICEE) dataset estimating precipitation (P; δ2 H, δ18O), evapotranspiration (ET; δ2 H, δ18O), and net ecosystem exchange (NEE; δ13C) isotope ratios . Statistically downscaled precipitation datasets were generated to be consistent with the estimated covariance between isotope ratios and precipitation amounts at daily time scales . Isotope ratios in ET and NEE fuxes were estimated using a mixing-model approach with calibrated NEON tower measurements . NEON-DICEE is publicly available on HydroShare and can be reproduced or modifed to ft user specifc applications or include additional NEON data records as they become available . The NEON-DICEE dataset can facilitate understanding of terrestrial ecosystem processes through their incorporation into environmental investigations that require daily δ2 H, δ18O, and δ13C fux data .
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