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Updated: Jan 7, 2026

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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在全球范围内提高生态系统碳使用效率,通过机器学习和MODIS产品升级状共变率数据

M Campos-Taberner1, M A Gilabert2, S Sánchez-Ruiz2

  • 1Environmental Remote Sensing group (UV-ERS), Universitat de València, Dr. Moliner, Burjassot, València, 46100, Spain. manuel.campos@uv.es.

Scientific reports
|December 24, 2025
PubMed
概括

这项研究引入了一种新的方法来量化全球生态系统碳利用效率 (CUE),包括所有呼吸流. 结果显示全球平均CUE为0.43和下降趋势,突出显示气候变化影响.

关键词:
碳使用效率 (CUE)埃迪-共变量数据莫迪斯 (MODIS) 是一种模式.机器学习是机器学习.时间空间的变化.

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