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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
07 May 2020
Data description paper |
| 07 May 2020
| 07 May 2020
Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems
Xiaolu Tang
College of Earth Science, Chengdu University of Technology, Chengdu
610059, China
State Environmental Protection Key Laboratory of Synergetic Control
and Joint Remediation for Soil & Water Pollution, Chengdu University of
Technology, Chengdu 610059, China
Shaohui Fan
CORRESPONDING AUTHOR
Key laboratory of Bamboo and Rattan, International Centre for Bamboo
and Rattan, Beijing 100102, China
Manyi Du
Experimental Center of Forestry in North China, Chinese Academy of
Forestry, Beijing 102300, China
Wenjie Zhang
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
Beijing 100101, China
School of Life Science, University of Technology Sydney, Ultimo, NSW 2007,
Australia
Sicong Gao
School of Life Science, University of Technology Sydney, Ultimo, NSW 2007,
Australia
Shibin Liu
College of Earth Science, Chengdu University of Technology, Chengdu
610059, China
Guo Chen
College of Earth Science, Chengdu University of Technology, Chengdu
610059, China
School of Applied Meteorology, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Department of Ecology, Evolution, and Organismal Biology, Iowa State
University, Ames, IA 50011, USA
Wunian Yang
CORRESPONDING AUTHOR
College of Earth Science, Chengdu University of Technology, Chengdu
610059, China
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Latest update: 14 Dec 2024
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.
Global soil heterotrophic respiration (RH) was modelled using Random Forest by linking published...
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