Skip to main content
Log in

Forest carbon storage in Guizhou Province based on field measurement dataset

  • Original Article
  • Published:
Acta Geochimica Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • An HP, Jin XQ, Yang CH (1991) Study on growth patterns of main vegetation types’ biomass growth and changes of forest biomass in the early stage of treatment of the Banqiaohe Watershed. Guizhou For Sci Technol 19(4):20–34 (In Chinese)

    Google Scholar 

  • Cao JH, Jiang ZC, Yang DS et al (2009) Soil erosion and rocky desertification controlled by karst environment in Guizhou Province. Soil Water Conserv China 1:20–23 (In Chinese)

    Google Scholar 

  • Chapin FS, Matson PA, Vitousek PM (2012) Principles of terrestrial ecosystem ecology. Springer, New York, pp 369–397

    Google Scholar 

  • Chinese Academy of Sciences (2007) Editorial committee of vegetation map of the People’s Republic of China. Geological Publishing House, Xi’ an (In Chinese)

    Google Scholar 

  • Dixon RK, Brown S, Houghton RA et al (1994) Carbon pools and flux of global forest ecosystems. Science 263(5144):185–189

    Article  Google Scholar 

  • Falster DS, Duursma RA, Ishihara MI et al (2015) BAAD: a biomass and allometry database for woody plants. Ecology 96(5):1445

    Article  Google Scholar 

  • Fang JY, Chen AP, Peng CH et al (2001) Changes in forest biomass carbon storage in China between 1949 and 1998. Science 292(5525):2320–2322

    Article  Google Scholar 

  • Fang JY, Guo Z, Hu H et al (2014) Forest biomass carbon sinks in East Asia, with special reference to the relative contributions of forest expansion and forest growth. Glob Change Biol 20(6):2019–2030

    Article  Google Scholar 

  • Fang JY, Yu GR, Ren XB et al (2015) Carbon sequestration in China’s terrestrial ecosystems under climate change-Progress on ecosystem carbon sequestration from the CAS Strategic Priority Research Program. Bull Chin Acad Sci 30(6):848–857

    Google Scholar 

  • Forestry Department of Guizhou Province (2016) Inventory of forest resources in Guizhou Province (in Chinese)

  • Hancock PA, Hutchinson MF (2006) Spatial interpolation of large climate data sets using bivariate thin plate smoothing splines. Environ Model Softw 21(12):1684–1694

    Article  Google Scholar 

  • He JS (2012) Carbon cycling of Chinese forests: from carbon storage, dynamics to models. Sci Sin Vitae 55(2):188–190

    Google Scholar 

  • Huang CY (2000) Textbook series for 21st century: Pedology. China Agriculture Press, Beijing (In Chinese)

    Google Scholar 

  • Janssens IA, Freibauer A, Ciais P et al (2003) Europe’s terrestrial biosphere absorbs 7 to 12% of European anthropogenic CO2 emissions. Science 300(5625):1538–1542

    Article  Google Scholar 

  • Jiang ZC, Lian YQ, Qin XQ (2014) Rocky desertification in Southwest China: impacts, causes, and restoration. Earth Sci Rev 132(3):1–12

    Article  Google Scholar 

  • Jobbágy EG, Jackson RB (2000) The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol Appl 10:423–436

    Article  Google Scholar 

  • Li KR (2002) Land use change and net greenhouse gas emissions and terrestrial ecosystem carbon cycle. China Meteorological Press, Beijing (in Chinese)

    Google Scholar 

  • Li MR, Ding GJ (2013) Study on carbon storage of main forest types in southeast part of Guizhou Province. J Cent South Univ For Technol 33(7):119–124 (In Chinese)

    Google Scholar 

  • Li HK, Lei YC (2010) Estimation and evaluation of forest biomass carbon storage in China. Chinese Forestry Press, Beijing (In Chinese)

    Google Scholar 

  • Li GF, Ren H (2004) Biomass and net primary productivity of the forests in different climatic zones of China. Trop Geogr 24(4):306–310 (In Chinese)

    Google Scholar 

  • Liu CQ (2009) Biogeochemical processes and cycling of nutrients in the earth’s surface: cycling of nutrients in soil-plant systems of karstic environments, Southwest China. Science Press, Beijing (In Chinese)

    Google Scholar 

  • Liu CC, Wei YF, Liu YG et al (2009) Biomass of canopy and shrub layers of karst forests in Puding, Guizhou, China. Chin J Plant Ecol 33(4):698–705 (in Chinese)

    Google Scholar 

  • Liu CC, Liu YG, Guo K et al (2016) Aboveground carbon stock, allocation and sequestration potential during vegetation recovery in the karst region of southwestern China: a case study at a watershed scale. Agr Ecosyst Environ 235:91–100

    Article  Google Scholar 

  • Luo YJ, Wang XK, Zhang XQ, Lu F (2013) Biomass and its allocation of forest ecosystems in China. Chinese Forestry Press, Beijing (In Chinese)

    Google Scholar 

  • Ni J (2001) Carbon storage in terrestrial ecosystems of China: estimates at different spatial resolutions and their responses to climate change. Clim Change 49(3):339–358

    Article  Google Scholar 

  • Ni J (2013) Carbon storage in Chinese terrestrial ecosystems: approaching a more accurate estimate. Clim Change 119(3–4):905–917

    Article  Google Scholar 

  • Ni J, Luo DH, Xia J et al (2015) Vegetation in karst terrain of southwestern China allocates more biomass to roots. Solid Earth 6(1):799–810

    Article  Google Scholar 

  • Pacala SW, Hurtt GC, Baker D et al (2001) Consistent land- and atmosphere-based U.S. carbon sink estimates. Science 292(5525):2316–2320

    Article  Google Scholar 

  • Pan YD, Birdsey RA, Fang JY et al (2011) A large and persistent carbon sink in the world’s forests. Science 333(6045):988–993

    Article  Google Scholar 

  • Schimel D, Melillo J, Tian H et al (2000) Contribution of increasing CO2 and climate to carbon storage by ecosystems in the United States. Science 287(5460):2004–2006

    Article  Google Scholar 

  • Shi XZ, Yu DS, Warner ED et al (2004) Soil database of 1:1,000,000 digital soil survey and reference system of the Chinese Genetic Soil Classification System. Soil Survey Horizons 45(4):129–136

    Article  Google Scholar 

  • Tang X (2007) Carbon storage of forest vegetation and spatial distribution in Sichuan Province. Master’s Thesis, Sichuan Agricultural University, Ya’an, China (in Chinese)

  • Tu YL, Yang J (1995) Study on biomass of the karst scrub community in central region of Guizhou Province. Carsologica Sinica 14(3):199–208 (in Chinese)

    Google Scholar 

  • Wang YK, Zhao Y, Ma ZJ et al (2014) Carbon stock and its distribution of three typical forest type in southeastern Guizhou Province, southwestern China. J Beijing For Univ 36(5):54–61 (In Chinese)

    Google Scholar 

  • Wu P, Ding FJ, Chen J (2012) Study on the biomass and productivity of forest in Southwest China. Hubei Agric Sci 51(8):1513–1518 (in Chinese)

    Google Scholar 

  • Xia CC (2015) Characteristics of biomass and carbon storage of ecological public welfare forest in Ningbo. Master’s Thesis, East China Normal University, Shanghai, China (in Chinese)

  • Xie XL, Sun B, Zhou HZ et al (2004) Soil carbon stocks and their influencing factors under native vegetations in China. Acta Pedol Sin 41(5):687–699 (in Chinese)

    Google Scholar 

  • Yang XD (2015) Carbon content of common forest types in southeastern Guizhou Province. Guizhou For Sci Technol 43(3):9–14 (in Chinese)

    Google Scholar 

  • Zhang ZH, Hu G, Zhu JD et al (2012) Stand structure, woody species richness and composition of subtropical karst forests in Maolan, south-west China. J Trop For Sci 24(4):498–506

    Google Scholar 

  • Zhong YX, Zhou YC, Li ZJ (2014) Research on the carbon storage and potential carbon sequestration of vegetation in the trough valley of a karst area, Yinjiang. Earth Environ 42(1):82–89 (in Chinese)

    Google Scholar 

  • Zhou YR, Yu ZL, Zhao SD (2000) Carbon storage and budget of major Chinese forest types. J Plant Ecol (Chinese version) 24(5):518–522 (in Chinese)

    Google Scholar 

Download references

Acknowledgements

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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Ni.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 96 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, C., Wu, Y., Ni, J. et al. Forest carbon storage in Guizhou Province based on field measurement dataset. Acta Geochim 38, 8–21 (2019). https://doi.org/10.1007/s11631-018-0306-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11631-018-0306-3

Keywords

Navigation