Forest biomass estimation at regional and global levels, with special reference to China's forest biomass

被引:90
|
作者
Fang, JY [1 ]
Wang, ZM
机构
[1] Beijing Univ, Dept Urban & Environm Sci, Beijing 100871, Peoples R China
[2] McGill Univ, Dept Biol, Montreal, PQ H3A 1B1, Canada
基金
中国国家自然科学基金;
关键词
biomass estimation method; biomass expansion factor (BEF); boreal forest; China; forest inventory; temperate forest;
D O I
10.1046/j.1440-1703.2001.00419.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Accurate estimation of forest biomass size and regional distribution is a prerequisite in answering a long-standing debate on the role of forest vegetation in the regional and global carbon cycle. Appropriate biomass estimation methods and available forest data sources are two key factors for this purpose. Among the estimation methods, the continuous Biomass Expansion Factor (BEF; defined as the ratio of all stand biomass to stem volume or biomass) method is considered to be the best. We applied the continuous BEF to forest inventory data of China and estimated a biomass carbon of 4.6 PgC and a biomass carbon density of 38.4 Mg ha(-1). A review of recent literature shows that forest carbon density in major temperate and boreal forest regions in the Northern Hemisphere has a narrow variance ranging from 29 Mg ha(-1) to 50 Mg ha(-1), with a global mean of 36.9 Mg ha(-1). This suggests that the forest biomass density in China is closely coincident with the global mean.
引用
收藏
页码:587 / 592
页数:6
相关论文
共 50 条
  • [1] Regional estimation of current and future forest biomass
    Mickler, RA
    Earnhardt, TS
    Moore, JA
    ENVIRONMENTAL POLLUTION, 2002, 116 (SUPPL. 1) : S7 - S16
  • [2] A Review of Regional and Global Gridded Forest Biomass Datasets
    Zhang, Yuzhen
    Liang, Shunlin
    Yang, Lu
    REMOTE SENSING, 2019, 11 (23)
  • [3] Global Forest Plantations Mapping and Biomass Carbon Estimation
    Xu, Hongtao
    He, Bin
    Guo, Lanlan
    Yan, Xing
    Zeng, Yelu
    Yuan, Wenping
    Zhong, Ziqian
    Tang, Rui
    Yang, Yang
    Liu, Huiming
    Chen, Yaning
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2024, 129 (03)
  • [4] MODIS Based Estimation of Forest Aboveground Biomass in China
    Yin, Guodong
    Zhang, Yuan
    Sun, Yan
    Wang, Tao
    Zeng, Zhenzhong
    Piao, Shilong
    PLOS ONE, 2015, 10 (06):
  • [5] The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
    Schepaschenko, Dmitry
    Chave, Jerome
    Phillips, Oliver L.
    Lewis, Simon L.
    Davies, Stuart J.
    Rejou-Mechain, Maxime
    Sist, Plinio
    Scipal, Klaus
    Perger, Christoph
    Herault, Bruno
    Labriere, Nicolas
    Hofhansl, Florian
    Affum-Baffoe, Kofi
    Aleinikov, Alexei
    Alonso, Alfonso
    Amani, Christian
    Araujo-Murakami, Alejandro
    Armston, John
    Arroyo, Luzmila
    Ascarrunz, Nataly
    Azevedo, Celso
    Baker, Timothy
    Balazy, Radomir
    Bedeau, Caroline
    Berry, Nicholas
    Bilous, Andrii M.
    Bilous, Svitlana Yu.
    Bissiengou, Pulcherie
    Blanc, Lilian
    Bobkova, Kapitolina S.
    Braslavskaya, Tatyana
    Brienen, Roel
    Burslem, David F. R. P.
    Condit, Richard
    Cuni-Sanchez, Aida
    Danilina, Dilshad
    del Castillo Torres, Dennis
    Derroire, Geraldine
    Descroix, Laurent
    Sotta, Eleneide Doff
    d'Oliveira, Marcus V. N.
    Dresel, Christopher
    Erwin, Terry
    Evdokimenko, Mikhail D.
    Falck, Jan
    Feldpausch, Ted R.
    Foli, Ernest G.
    Foster, Robin
    Fritz, Steffen
    Damian Garcia-Abril, Antonio
    SCIENTIFIC DATA, 2019, 6 (1)
  • [6] The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
    Dmitry Schepaschenko
    Jérôme Chave
    Oliver L. Phillips
    Simon L. Lewis
    Stuart J. Davies
    Maxime Réjou-Méchain
    Plinio Sist
    Klaus Scipal
    Christoph Perger
    Bruno Herault
    Nicolas Labrière
    Florian Hofhansl
    Kofi Affum-Baffoe
    Alexei Aleinikov
    Alfonso Alonso
    Christian Amani
    Alejandro Araujo-Murakami
    John Armston
    Luzmila Arroyo
    Nataly Ascarrunz
    Celso Azevedo
    Timothy Baker
    Radomir Bałazy
    Caroline Bedeau
    Nicholas Berry
    Andrii M. Bilous
    Svitlana Yu. Bilous
    Pulchérie Bissiengou
    Lilian Blanc
    Kapitolina S. Bobkova
    Tatyana Braslavskaya
    Roel Brienen
    David F. R. P. Burslem
    Richard Condit
    Aida Cuni-Sanchez
    Dilshad Danilina
    Dennis del Castillo Torres
    Géraldine Derroire
    Laurent Descroix
    Eleneide Doff Sotta
    Marcus V. N. d’Oliveira
    Christopher Dresel
    Terry Erwin
    Mikhail D. Evdokimenko
    Jan Falck
    Ted R. Feldpausch
    Ernest G. Foli
    Robin Foster
    Steffen Fritz
    Antonio Damian Garcia-Abril
    Scientific Data, 6
  • [7] Forest classification and impact of BIOMASS resolution on forest area and aboveground biomass estimation
    Schlund, Michael
    Scipal, Klaus
    Davidson, Malcolm W. J.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 56 : 65 - 76
  • [8] Forest biomass carbon sinks in East Asia, with special reference to the relative contributions of forest expansion and forest growth
    Fang, Jingyun
    Guo, Zhaodi
    Hu, Huifeng
    Kato, Tomomichi
    Muraoka, Hiroyuki
    Son, Yowhan
    GLOBAL CHANGE BIOLOGY, 2014, 20 (06) : 2019 - 2030
  • [9] Estimation of Forest Biomass and Carbon Storage in China Based on Forest Resources Inventory Data
    Lu, Jing
    Feng, Zhongke
    Zhu, Yan
    FORESTS, 2019, 10 (08):
  • [10] Forest biomass estimation over regional scales using multisource data
    Baccini, A
    Friedl, MA
    Woodcock, CE
    Warbington, R
    GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (10) : L105011 - 4