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Discussion papers
https://doi.org/10.5194/essd-2019-1
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-1
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Jan 2019

Research article | 08 Jan 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

ChinAllomeTree 1.0: China's normalized tree biomass equation dataset

Yunjian Luo1,2,4, Xiaoke Wang2,3, Zhiyun Ouyang2, Fei Lu2, Liguo Feng1, and Jun Tao1 Yunjian Luo et al.
  • 1College of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China
  • 2State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou 225009, China

Abstract. The tree biomass equation, which is also called the tree allometric equation, is the most commonly used method to estimate tree and forest biomass at various spatial-temporal scales because of its high accuracy, efficiency and conciseness. For decades, many tree biomass equations have been reported in diverse types of literature (e.g., journals, books and reports). These scattered equations are being compiled, and tree biomass equation datasets are currently available for many geographical regions (e.g., Europe, North America and Sub-Saharan Africa) and countries (e.g., Australia, Indonesia and Mexico) except for in an important region of the world, Eastern Asia, specifically China. Therefore, in this study, we carried out an extensive survey and critical review of the literature (from 1978–2013) on biomass equations conducted in China and developed China’s normalized tree biomass equation dataset (ChinAllomeTree version 1.0). This dataset consists of 5,924 biomass component equations for nearly 200 species and their associated background information (e.g., geographical location, climate and stand description), showing sound geographical, climatic and forest vegetation coverages across China. The dataset is freely available at https://doi.pangaea.de/10.1594/PANGAEA.895244 for noncommercial scientific applications, which fills an important regional gap in global biomass datasets and provides key parameters for biomass estimation in forest inventory and carbon accounting in China.

Yunjian Luo et al.
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Latest update: 25 May 2019
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Short summary
How to obtain the oven-dried mass (biomass) of a tree and its components is always concerned. One common approach is by using biomass equations. China is one of the most important ecoregions of the world. We developed a China’s tree biomass equation dataset by means of literature retrieval. This dataset consists of 5,924 equations for nearly 200 tree species, showing sound geographical, climatic and forest coverages across China. Meanwhile, several potentials for future research are identified.
How to obtain the oven-dried mass (biomass) of a tree and its components is always concerned....
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