IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i12p2300-d1003912.html
   My bibliography  Save this article

Effects of Understory Vegetation Heterogeneity on Soil Organic Carbon Components in Cunninghamia lanceolata Plantation

Author

Listed:
  • Ruipeng Song

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Xiaomeng Han

    (Luoyang Institute of Science and Technology, Luoyang 471026, China)

  • Qifan Yang

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Zhiheng Zheng

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Dan Xi

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang 332900, China)

Abstract

As one of the important factors affecting forest soil organic carbon stocks, the effect of understory vegetation types on soil organic carbon and its components was explored to provide a theoretical basis for understory vegetation management and sustainable management in plantation forests. In order to determine the characteristics of soil organic carbon and its components under different understory vegetation types in Subtropical Cunninghamia lanceolata plantation, Indocalamus tessellatus , Diplazium donianum and Oreocnide frutescenssp were taken as research objects. The mass fractions of total organic carbon, recalcitrant organic carbon, readily oxidizable organic carbon, microbial biomass carbon and dissolved organic carbon in each soil layer at 0–10, 10–20, 20–40 and 40–60 cm were measured, and the change characteristics of soil organic carbon components were also studied and compared. The results showed that: (1) The mass fractions of total organic carbon, recalcitrant organic carbon, readily oxidizable organic carbon and microbial biomass carbon in the soils of the three understory vegetation types showed significant decreasing trends along the profile, while the mass fraction of dissolved organic carbon in 0–40 cm soil layer was significantly higher than those in 40–60 cm soil layer. (2) The mass fraction of total organic carbon (5.98–20.66 g·kg −1 ) had no significant difference among understory vegetation types. The mass fraction and proportion of microbial biomass carbon were higher in the 0–60 cm soil layer under cover of Indocalamus tessellatus , and the mass fractions of recalcitrant organic carbon in the 20–40 cm soil layer under Indocalamus tessellatus cover (8.57 g·kg −1 ) was significantly higher than that of Oreocnide frutescenssp (5.73 g·kg −1 ). The soil layer of 0–20 cm under the Diplazium donianum community has a higher mass fraction and proportion of readily oxidizable organic carbon. (3) Correlation analysis showed that soil organic carbon and its components were positively correlated with total nitrogen, dissolved total nitrogen, dissolved organic nitrogen and microbial biomass nitrogen. There is a significant positive correlation among the components of soil organic carbon. (4) Redundancy analysis showed that soil bulk density (41.6%), microbial biomass nitrogen (41.2%), dissolved total nitrogen (43.7%), total nitrogen (9.9%), dissolved organic nitrogen (43.6%) and pH (6.6%) were the most significant environmental factors affecting organic carbon components in four soil layers. Understory vegetation type can influence the distribution characteristics of soil organic carbon components in Cunninghamia lanceolata plantation, and soil active organic carbon components are more susceptible to the influence of understory vegetation type than total organic carbon and recalcitrant organic carbon.

Suggested Citation

  • Ruipeng Song & Xiaomeng Han & Qifan Yang & Zhiheng Zheng & Dan Xi, 2022. "Effects of Understory Vegetation Heterogeneity on Soil Organic Carbon Components in Cunninghamia lanceolata Plantation," Land, MDPI, vol. 11(12), pages 1-12, December.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2300-:d:1003912
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/12/2300/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/12/2300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. Knorr & I. C. Prentice & J. I. House & E. A. Holland, 2005. "Long-term sensitivity of soil carbon turnover to warming," Nature, Nature, vol. 433(7023), pages 298-301, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jónsson, Jón Örvar G. & Davíðsdóttir, Brynhildur & Nikolaidis, Nikolaos P. & Giannakis, Georgios V., 2019. "Tools for Sustainable Soil Management: Soil Ecosystem Services, EROI and Economic Analysis," Ecological Economics, Elsevier, vol. 157(C), pages 109-119.
    2. Brovkin, Victor & Cherkinsky, Alexander & Goryachkin, Sergey, 2008. "Estimating soil carbon turnover using radiocarbon data: A case-study for European Russia," Ecological Modelling, Elsevier, vol. 216(2), pages 178-187.
    3. Ross Kingwell, 2021. "Making Agriculture Carbon Neutral Amid a Changing Climate: The Case of South-Western Australia," Land, MDPI, vol. 10(11), pages 1-20, November.
    4. Wei Wang & Wenjing Zeng & Weile Chen & Hui Zeng & Jingyun Fang, 2013. "Soil Respiration and Organic Carbon Dynamics with Grassland Conversions to Woodlands in Temperate China," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    5. Zhang, Chengfu & Trofymow, John A. & Jamieson, Rob C. & Meng, Fan-Rui & Gordon, Robert & Bourque, Charles P.-A., 2010. "Litter decomposition and nitrogen mineralization from an annual to a monthly model," Ecological Modelling, Elsevier, vol. 221(16), pages 1944-1953.
    6. Post, Joachim & Krysanova, Valentina & Suckow, Felicitas & Mirschel, Wilfried & Rogasik, Jutta & Merbach, Ines, 2007. "Integrated eco-hydrological modelling of soil organic matter dynamics for the assessment of environmental change impacts in meso- to macro-scale river basins," Ecological Modelling, Elsevier, vol. 206(1), pages 93-109.
    7. Shuai Ren & Tao Wang & Bertrand Guenet & Dan Liu & Yingfang Cao & Jinzhi Ding & Pete Smith & Shilong Piao, 2024. "Projected soil carbon loss with warming in constrained Earth system models," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    8. Sihvonen, Matti & Pihlainen, Sampo & Lai, Tin-Yu & Salo, Tapio & Hyytiäinen, Kari, 2021. "Crop production, water pollution, or climate change mitigation—Which drives socially optimal fertilization management most?," Agricultural Systems, Elsevier, vol. 186(C).
    9. Wramneby, Anna & Smith, Benjamin & Zaehle, Sönke & Sykes, Martin T., 2008. "Parameter uncertainties in the modelling of vegetation dynamics—Effects on tree community structure and ecosystem functioning in European forest biomes," Ecological Modelling, Elsevier, vol. 216(3), pages 277-290.
    10. Sierra, J. & Brisson, N. & Ripoche, D. & Déqué, M., 2010. "Modelling the impact of thermal adaptation of soil microorganisms and crop system on the dynamics of organic matter in a tropical soil under a climate change scenario," Ecological Modelling, Elsevier, vol. 221(23), pages 2850-2858.
    11. Zhang, C.F. & Meng, F.-R. & Bhatti, J.S. & Trofymow, J.A. & Arp, Paul A., 2008. "Modeling forest leaf-litter decomposition and N mineralization in litterbags, placed across Canada: A 5-model comparison," Ecological Modelling, Elsevier, vol. 219(3), pages 342-360.
    12. Nigel W. Arnell & Emma L. Tompkins & W. Neil Adger, 2005. "Eliciting Information from Experts on the Likelihood of Rapid Climate Change," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1419-1431, December.
    13. Qu, Feng & Zhang, Qi & Jiang, Zhaoxi & Zhang, Caihong & Zhang, Zhi & Hu, Xiaohui, 2022. "Optimizing irrigation and fertilization frequency for greenhouse cucumber grown at different air temperatures using a comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 273(C).
    14. Jaehyun Lee & Youmi Oh & Sang Tae Lee & Yeon Ok Seo & Jeongeun Yun & Yerang Yang & Jinhyun Kim & Qianlai Zhuang & Hojeong Kang, 2023. "Soil organic carbon is a key determinant of CH4 sink in global forest soils," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    15. Marylin Bejarano-Castillo & Julio Campo & Lilia L Roa-Fuentes, 2015. "Effects of Increased Nitrogen Availability on C and N Cycles in Tropical Forests: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-12, December.
    16. Alon Nissan & Uria Alcolombri & Nadav Peleg & Nir Galili & Joaquin Jimenez-Martinez & Peter Molnar & Markus Holzner, 2023. "Global warming accelerates soil heterotrophic respiration," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    17. Martin, Manuel Pascal & Cordier, Stéphane & Balesdent, Jérôme & Arrouays, Dominique, 2007. "Periodic solutions for soil carbon dynamics equilibriums with time-varying forcing variables," Ecological Modelling, Elsevier, vol. 204(3), pages 523-530.
    18. Giuseppe Badagliacca & Maurizio Romeo & Emilio Lo Presti & Antonio Gelsomino & Michele Monti, 2020. "Factors Governing Total and Permanganate Oxidizable C Pools in Agricultural Soils from Southern Italy," Agriculture, MDPI, vol. 10(4), pages 1-22, April.
    19. Xiaoying Bao & Xiaoxue Zhu & Xiaofeng Chang & Shiping Wang & Burenbayin Xu & Caiyun Luo & Zhenhua Zhang & Qi Wang & Yichao Rui & Xiaoying Cui, 2016. "Effects of Soil Temperature and Moisture on Soil Respiration on the Tibetan Plateau," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-14, October.
    20. Braakhekke, Maarten C. & Beer, Christian & Hoosbeek, Marcel R. & Reichstein, Markus & Kruijt, Bart & Schrumpf, Marion & Kabat, Pavel, 2011. "SOMPROF: A vertically explicit soil organic matter model," Ecological Modelling, Elsevier, vol. 222(10), pages 1712-1730.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2300-:d:1003912. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.