A review of biomass equations for China's tree species

Luo, Yunjian; Wang, Xiaoke; Ouyang, Zhiyun; Lu, Fei; Feng, Liguo; Tao, Jun

doi:https://doi.org/10.5194/essd-12-21-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-21-2020

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

https://doi.org/10.5194/essd-12-21-2020

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

Articles | Volume 12, issue 1

Data description paper

|

03 Jan 2020

Data description paper |

| 03 Jan 2020

A review of biomass equations for China's tree species

Yunjian Luo, Xiaoke Wang, Zhiyun Ouyang, Fei Lu, Liguo Feng, and Jun Tao

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Final revised paper (published on 03 Jan 2020)
Preprint (discussion started on 08 Jan 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of Luo-et-al', Anonymous Referee #1, 05 Apr 2019
- AC1: 'Reply to RC1', Yunjian Luo, 28 Apr 2019
  - RC2: 'Reply to AC1', Anonymous Referee #1, 28 May 2019
SC1: 'General comments', yang xiao, 23 Apr 2019
- SC2: 'Reply to Yang XIAO', Yunjian Luo, 28 Apr 2019
SC3: 'A biomass equation database is urgently needed to accurately evaluate greenhouse gas emission reduction in forestry', Jianhua ZHU, 29 Jun 2019
- EC1: 'China's normalized tree biomass equation dataset', Birgit Heim, 11 Oct 2019
  - SC4: 'Reply to Editor', Yunjian Luo, 12 Oct 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yunjian Luo on behalf of the Authors (04 Nov 2019) Author's response Manuscript

ED: Publish as is (07 Nov 2019) by Birgit Heim

AR by Yunjian Luo on behalf of the Authors (07 Nov 2019)

Short summary

How to accurately estimate tree and forest biomass a concern worldwide. Biomass equations are the most commonly used method. China is one of the most important ecoregions of the world. Here, we develop a tree biomass equation dataset for China via literature retrieval. This dataset consists of 5924 equations for nearly 200 tree species, showing sound geographical, climatic and forest coverage across China. Furthermore, multiple potential avenues for future research are identified.