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Biomass Resources Distribution in the Terrestrial Ecosystem of China

Author

Listed:
  • Na Li

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Gaodi Xie

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Changshun Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yu Xiao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Biao Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wenhui Chen

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanzhi Sun

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shuo Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear regression model were used to estimate distribution of biomass resources in 2010. The establishment of models, developed using different vegetation biomass sample data, normalized difference vegetation index (NDVI), leaf area index (LAI), meteorological data, coordinates, terrain data, and statistical data. Results based on a cross-validation approach show that the model can explain 95.6% of the variance in biomass, with a relative estimation error of 67 g·m −2 for a range of biomass between 0–73,875 g·m −2 . Spatial statistic results were consistent with the practical condition in most cases. The above- and below-ground biomass (ABGB) of China was estimated to be 31.1 Pg (1 Pg = 1015 g) in 2010. The forest ecosystem has the largest total biomass, which represents about 70% of the whole terrestrial ecosystem. The desert ecosystem has minimum biomass value. The Belowground Endowment (BRE) varied differently in spatial distribution, with the high values occurring in the southeast and northeast. The low values were primarily distributed in north and northwest regions, where it is mostly desert and few plants. Biomass per capita indicates the availability of natural resources per capita. Tibet had the maximum biomass per capita (807 tone in 2010). Shanghai and Tianjin had the minimum biomass per capita, less than 500 kg. Shanghai, Tianjin, Guangzhou, Beijing, and Hainan had negative growth of biomass per capita.

Suggested Citation

  • Na Li & Gaodi Xie & Changshun Zhang & Yu Xiao & Biao Zhang & Wenhui Chen & Yanzhi Sun & Shuo Wang, 2015. "Biomass Resources Distribution in the Terrestrial Ecosystem of China," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:7:p:8548-8564:d:51957
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    References listed on IDEAS

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    2. Mingkui Cao & F. Ian Woodward, 1998. "Dynamic responses of terrestrial ecosystem carbon cycling to global climate change," Nature, Nature, vol. 393(6682), pages 249-252, May.
    3. Zhu Liu & Dabo Guan & Moore, Scott & Henry Lee & Su, Jun & Qiang Zhang, "undated". "Climate policy: Steps to China's carbon peak," Working Paper 269166, Harvard University OpenScholar.
    4. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
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    Cited by:

    1. Kaiyan Luo & Xingping Zhang & Qinliang Tan, 2016. "Novel Role of Rural Official Organization in the Biomass-Based Power Supply Chain in China: A Combined Game Theory and Agent-Based Simulation Approach," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    2. Jie Xu & Gaodi Xie & Yu Xiao & Na Li & Fuqin Yu & Sha Pei & Yuan Jiang, 2018. "Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China," Sustainability, MDPI, vol. 10(4), pages 1-18, April.

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