A compiled soil respiration dataset at different time scales for forest ecosystems across China from 2000 to 2018

Sun, Hongru; Xu, Zhenzhu; Jia, Bingrui

doi:https://doi.org/10.5194/essd-14-2951-2022

Articles | Volume 14, issue 7

https://doi.org/10.5194/essd-14-2951-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-2951-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

Data description paper

|

05 Jul 2022

Data description paper |

| 05 Jul 2022

A compiled soil respiration dataset at different time scales for forest ecosystems across China from 2000 to 2018

Hongru Sun, Zhenzhu Xu, and Bingrui Jia

Supplement

https://doi.org/10.5194/essd-14-2951-2022-supplement

Data sets

Soil respiration at different time scales from 2000 to 2018 in forest ecosystems across China Hongru Sun, Zhenzhu Xu, and Bingrui Jia https://doi.org/10.1594/PANGAEA.943617

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Short summary

We compiled a new soil respiration (R_s) database of China's forests from 568 studies published up to 2018. The hourly, monthly, and annual samples were 8317, 5003, and 634, respectively. Most of the R_s data are shown in figures but were seldom exploited. For the first time, these data were digitized, accounting for 82 % of samples. R_s measured with common methods was selected (Li-6400, Li-8100, Li-8150, gas chromatography) and showed small differences of ~10 %. Bamboo had the highest R_s.