Calibration Strategies for Detecting Macroscale Patterns in NEON Atmospheric Carbon Isotope Observations
Calibration Strategies for Detecting Macroscale Patterns in NEON Atmospheric Carbon Isotope Observations
复制标题
霓虹灯大气碳同位素观测中探测大尺度模式的定标策略
DOI：
10.1029/2020jg005862
复制
发表时间：
2021-03-01
影响因子：
3.7
通讯作者：
Bowen, Gabriel J.
中科院分区：
文献类型：
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作者：
Fiorella, Richard P.;Good, Stephen P.;Bowen, Gabriel J.
陆地生态系统碳通量及其对环境变化的响应是现代碳循环不确定性的主要来源。国家生态观测网络（氖）提供了一个机会，将涡度协方差（EC）导出的通量与CO2同位素比测量相结合，以深入了解碳循环过程。在超过40个地点连续、一致地收集的氖EC和同位素数据促进了新的综合分析。然而，目前提供的大气同位素数据未经校准，大大限制了进行跨站点分析的能力。在这里，我们提出了两种方法来校准氖CO2同位素比，沿着R包校准氖数据。我们发现，校准CO2同位素独立产生较低的Δ C-13偏差（
Carbon fluxes in terrestrial ecosystems and their response to environmental change are a major source of uncertainty in the modern carbon cycle. The National Ecological Observatory Network (NEON) presents the opportunity to merge eddy covariance (EC)-derived fluxes with CO2 isotope ratio measurements to gain insights into carbon cycle processes. Collected continuously and consistently across >40 sites, NEON EC and isotope data facilitate novel integrative analyses. However, currently provisioned atmospheric isotope data are uncalibrated, greatly limiting ability to perform cross-site analyses. Here, we present two approaches to calibrating NEON CO2 isotope ratios, along with an R package to calibrate NEON data. We find that calibrating CO2 isotopologues independently yields a lower delta C-13 bias (