Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

Tang, Xiaolu; Fan, Shaohui; Du, Manyi; Zhang, Wenjie; Gao, Sicong; Liu, Shibin; Chen, Guo; Yu, Zhen; Yang, Wunian

doi:https://doi.org/10.5194/essd-12-1037-2020

Articles | Volume 12, issue 2

https://doi.org/10.5194/essd-12-1037-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-1037-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 2

Data description paper

|

07 May 2020

Data description paper |

| 07 May 2020

Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

Xiaolu Tang, Shaohui Fan, Manyi Du, Wenjie Zhang, Sicong Gao, Shibin Liu, Guo Chen, Zhen Yu, and Wunian Yang

Supplement

https://doi.org/10.5194/essd-12-1037-2020-supplement

Data sets

A globally gridded heterotrophic respiration dataset based on field observations X. Tang，S. Fan M. Du, W. Zhang，S. Gao，S. Liu，G. Chen，Z. Yu， and W. Yang https://doi.org/10.6084/m9.figshare.8882567.v7

Short summary

Global soil heterotrophic respiration (RH) was modelled using Random Forest by linking published observations and globally gridded environmental variables. Globally, RH increased from 55.8 to 58.3 Pg C a⁻¹ with an increasing trend of 0.036 ± 0.007 Pg C a⁻² and an annual mean RH of 57.2 ± 0.6 Pg C a⁻¹ over 1980–2016. The developed RH dataset has great potential to serve as a benchmark to constrain global vegetation models.