Acta Geochimica

, Volume 38, Issue 1, pp 8–21 | Cite as

Forest carbon storage in Guizhou Province based on field measurement dataset

  • Chunzi Guo
  • Yangyang Wu
  • Jian NiEmail author
  • Yinming Guo
Original Article


Accurate estimation of forest carbon storage is crucial in understanding global and regional carbon cycles and projecting future ecological and economic scenarios. Guizhou is the largest karst landform province in China; 61.9% of its land area is characterized as karst. However, monitoring its field biomass and carbon storage is difficult. This study synthesized and analyzed a comprehensive database of direct field observations of forest vegetation and soil carbon storage in Guizhou Province by using data from existing literature. The total vegetation carbon storage in Guizhou Province was 488.170 TgC, the average vegetation carbon density (VCD) was 27.866 MgC hm−2, the total amount of soil organic carbon (SOC) (20 cm) was 1017.364 TgC, and the average SOC density was 58.074 MgC hm−2. Among all vegetation types, needleleaf forest had the highest vegetation carbon stocks, and scrub presented the highest SOC storage. The vegetation and SOC storage values of the karst landform were 282.352 and 614.825 TgC, respectively, which were higher than those of the non-karst landform. VCD was concentrated at 10–40 MgC hm−2, and SOC density was concentrated at 40–60, 60–80, and 80–100 MgC hm−2. This comprehensive regional data synthesis and analysis based on direct field measurement of vegetation and soil will improve our understanding of the forest carbon cycle in karst landforms under a changing climate.


Forest carbon storage Field measurement dataset Karst landform 



This study was financially supported by National Natural Science Foundation of China (Nos. 41471049 and 31870462).

Supplementary material

11631_2018_306_MOESM1_ESM.docx (96 kb)
Supplementary material 1 (DOCX 96 kb)


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Copyright information

© Science Press, Institute of Geochemistry, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Environmental Geochemistry, Institute of GeochemistryChinese Academy of SciencesGuiyangChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Puding Karst Ecosystem Research StationChinese Academy of SciencesPudingChina
  4. 4.College of Chemistry and Life SciencesZhejiang Normal UniversityJinhuaChina

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