IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6365-d822162.html
   My bibliography  Save this article

Leaf Carbon, Nitrogen and Phosphorus Stoichiometry in a Pinus yunnanensis Forest in Southwest China

Author

Listed:
  • Xiaobo Huang

    (Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China
    Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming 650224, China)

  • Xuedong Lang

    (Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China
    Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming 650224, China)

  • Shuaifeng Li

    (Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China
    Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming 650224, China)

  • Wande Liu

    (Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China
    Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming 650224, China)

  • Jianrong Su

    (Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China
    Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration, Kunming 650224, China)

Abstract

Pinus yunnanensis forest is a unique forest type in southwest China and one of the main forest types in Yunnan Province, which also has great ecological, economic and social significance. Understanding the changes in the stoichiometric characteristics is a key to study the nutrient cycling, limiting factors and stability mechanisms of the forest ecosystem. However, the stoichiometric characteristics, stability of the ecosystem of P. yunnanensis natural forests and whether they are limited by nutrients are still poorly understood. Based on a K-S test, ANOVA analysis and OLS regression analysis, we analyzed the concentrations of leaf C, N and P in 48 woody species of natural P. yunnanensis forests from 122 plots to explore the pattern of leaf C:N:P stoichiometry. Our results showed that the mean values of leaf C, N and P plus C:N, C:P and N:P for the 48 woody species were 451.12, 11.05 and 1.11 mg/g and 45.03, 496.98 and 11.27, respectively. The coefficients of variation of leaf C, N and P plus C:N, C:P and N:P were 5.29%, 36.75%, 51.53%, 29.63%, 43.46% and 41.68%, respectively. The geometric mean values of leaf N, P and N:P were 10.49 and 1.00 mg/g and 10.51, respectively. Leaf C and N, and C and P relationships showed significant negative correlations, but a significant positive correlation was observed between leaf N and P. There were significant differences in leaf N and C:N across functional groups. There were significant differences in leaf C and P between evergreen and deciduous, conifer and broadleaf trees. Significant differences in leaf C:P were only observed between evergreen and deciduous trees, and significant differences in leaf N:P were observed between conifer and broadleaf trees. The relatively low N:P in all sampled trees indicated that N was a limiting factor in the distribution of natural P. yunnanensis forests. However, the higher leaf C:N and C:P ratios indicated that the P. yunnanensis natural forest ecosystem was in a relatively stable state.

Suggested Citation

  • Xiaobo Huang & Xuedong Lang & Shuaifeng Li & Wande Liu & Jianrong Su, 2022. "Leaf Carbon, Nitrogen and Phosphorus Stoichiometry in a Pinus yunnanensis Forest in Southwest China," Sustainability, MDPI, vol. 14(10), pages 1-10, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6365-:d:822162
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6365/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/10/6365/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ian J. Wright & Peter B. Reich & Mark Westoby & David D. Ackerly & Zdravko Baruch & Frans Bongers & Jeannine Cavender-Bares & Terry Chapin & Johannes H. C. Cornelissen & Matthias Diemer & Jaume Flexas, 2004. "The worldwide leaf economics spectrum," Nature, Nature, vol. 428(6985), pages 821-827, April.
    2. James J. Elser & William F. Fagan & Robert F. Denno & Dean R. Dobberfuhl & Ayoola Folarin & Andrea Huberty & Sebastian Interlandi & Susan S. Kilham & Edward McCauley & Kimberly L. Schulz & Evan H. Sie, 2000. "Nutritional constraints in terrestrial and freshwater food webs," Nature, Nature, vol. 408(6812), pages 578-580, November.
    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. Xiaolong Zhang & Tianyu Guan & Jihua Zhou & Wentao Cai & Nannan Gao & Hui Du & Lianhe Jiang & Liming Lai & Yuanrun Zheng, 2018. "Community Characteristics and Leaf Stoichiometric Traits of Desert Ecosystems Regulated by Precipitation and Soil in an Arid Area of China," IJERPH, MDPI, vol. 15(1), pages 1-19, January.
    2. Eric W. Seabloom & Maria C. Caldeira & Kendi F. Davies & Linda Kinkel & Johannes M. H. Knops & Kimberly J. Komatsu & Andrew S. MacDougall & Georgiana May & Michael Millican & Joslin L. Moore & Luis I., 2023. "Globally consistent response of plant microbiome diversity across hosts and continents to soil nutrients and herbivores," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    4. Law, Tony & Zhang, Weitao & Zhao, Jingyang & Arhonditsis, George B., 2009. "Structural changes in lake functioning induced from nutrient loading and climate variability," Ecological Modelling, Elsevier, vol. 220(7), pages 979-997.
    5. Stech, Harlan & Peckham, Bruce & Pastor, John, 2012. "Enrichment in a general class of stoichiometric producer–consumer population growth models," Theoretical Population Biology, Elsevier, vol. 81(3), pages 210-222.
    6. Zhengkun Hu & Manuel Delgado-Baquerizo & Nicolas Fanin & Xiaoyun Chen & Yan Zhou & Guozhen Du & Feng Hu & Lin Jiang & Shuijin Hu & Manqiang Liu, 2024. "Nutrient-induced acidification modulates soil biodiversity-function relationships," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Huihui Ding & Wensheng Chen & Jiangrong Li & Fangwei Fu & Yueyao Li & Siying Xiao, 2023. "Physiological Characteristics and Cold Resistance of Five Woody Plants in Treeline Ecotone of Sygera Mountains," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
    8. Petter, Gunnar & Kreft, Holger & Ong, Yongzhi & Zotz, Gerhard & Cabral, Juliano Sarmento, 2021. "Modelling the long-term dynamics of tropical forests: From leaf traits to whole-tree growth patterns," Ecological Modelling, Elsevier, vol. 460(C).
    9. Maria Wanic & Mariola Parzonka, 2023. "Assessing the Role of Crop Rotation in Shaping Foliage Characteristics and Leaf Gas Exchange Parameters for Winter Wheat," Agriculture, MDPI, vol. 13(5), pages 1-20, April.
    10. Marcin Dębowski & Marta Kisielewska & Joanna Kazimierowicz & Aleksandra Rudnicka & Magda Dudek & Zdzisława Romanowska-Duda & Marcin Zieliński, 2020. "The effects of Microalgae Biomass Co-Substrate on Biogas Production from the Common Agricultural Biogas Plants Feedstock," Energies, MDPI, vol. 13(9), pages 1-13, May.
    11. Adam R. Martin & Rachel O. Mariani & Kimberley A. Cathline & Michael Duncan & Nicholas J. Paroshy & Gavin Robertson, 2022. "Soil Compaction Drives an Intra-Genotype Leaf Economics Spectrum in Wine Grapes," Agriculture, MDPI, vol. 12(10), pages 1-16, October.
    12. Yeonggeun Song & Sukwoo Kim & Haeun Koo & Hyeonhwa Kim & Kidae Kim & Jaeuk Lee & Sujin Jang & Kyeong Cheol Lee, 2023. "Assessing the Suitability of Sediment Soil to Be Reused by Different Soil Treatments for Forest Agriculture," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    13. Yang Ma & Chunlai Zhang & Hui Yang & Yikai Xu & Yan Chen & Jing Ning, 2023. "The Characteristics of Soil C, N and P and Stoichiometric Ratios as Affected by Land-Use in a Karst Area, Southwest China," Land, MDPI, vol. 12(6), pages 1-17, May.
    14. Stephan Kambach & Francesco Maria Sabatini & Fabio Attorre & Idoia Biurrun & Gerhard Boenisch & Gianmaria Bonari & Andraž Čarni & Maria Laura Carranza & Alessandro Chiarucci & Milan Chytrý & Jürgen De, 2023. "Climate-trait relationships exhibit strong habitat specificity in plant communities across Europe," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    15. Yi Lei & Jing Gao & Qi Wang & Weiying Zeng & Dhungana Diwakar & Yaodan Zhang & Xianming Tan & Zudong Sun & Feng Yang & Wenyu Yang, 2024. "Cyclic Electron Flow Alleviates the Stress of Light Fluctuation on Soybean Photosynthesis," Agriculture, MDPI, vol. 14(7), pages 1-13, June.
    16. Sato, Hisashi & Itoh, Akihiko & Kohyama, Takashi, 2007. "SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach," Ecological Modelling, Elsevier, vol. 200(3), pages 279-307.
    17. Gang Hu & Xiaoxing Huang & Siyu Chen & Cong Hu & Chaofang Zhong & Chaohao Xu & Zhonghua Zhang, 2024. "Biotic and Abiotic Factors Affecting Soil C, N, P and Their Stoichiometries under Different Land-Use Types in a Karst Agricultural Watershed, China," Agriculture, MDPI, vol. 14(7), pages 1-19, July.
    18. Luyun Chen & Yongheng Gao, 2022. "Global Climate Change Effects on Soil Microbial Biomass Stoichiometry in Alpine Ecosystems," Land, MDPI, vol. 11(10), pages 1-16, September.
    19. Josep Penuelas & Tamás Krisztin & Michael Obersteiner & Florian Huber & Hannes Winner & Ivan A. Janssens & Philippe Ciais & Jordi Sardans, 2020. "Country-Level Relationships of the Human Intake of N and P, Animal and Vegetable Food, and Alcoholic Beverages with Cancer and Life Expectancy," IJERPH, MDPI, vol. 17(19), pages 1-15, October.
    20. Li, Haotian & Li, Lu & Liu, Na & Chen, Suying & Shao, Liwei & Sekiya, Nobuhito & Zhang, Xiying, 2022. "Root efficiency and water use regulation relating to rooting depth of winter wheat," Agricultural Water Management, Elsevier, vol. 269(C).

    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:jsusta:v:14:y:2022:i:10:p:6365-:d:822162. 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.