Global monthly and annual Rs from 1982 to 2018 (Global Change biology; https://doi.org/10.1111/gcb.70118)
收藏数据链接:
官方服务:
资源简介:
We provide the data for predicted soil respiration (Rs) from deep learning model (MLP). The resolution for all .tif files is 0.05°. The unit is expressed in g C m-2 year-1 (for annual Rs) and in g C m-2 month-1 (for monthly Rs).The R code used for the paper figures is available in the zip file "R code".Note that any use of the data or code should cite the original article:Laffitte, B., Zhou, T., Yang, Z., Ciais, P., Jian, J., Huang, N., Seyler, B.C., Pei, X. and Tang, X. (2025), Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration. Glob Change Biol, 31: e70118. https://doi.org/10.1111/gcb.70118
创建时间:
2025-02-28



