IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4236-d1396860.html
   My bibliography  Save this article

Study on Leaf Morphological and Stoichiometric Traits of Cunninghamia lanceolata Based on Different Provenances

Author

Listed:
  • Yihui Wang

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

  • Xiang Niu

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

  • Bing Wang

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

Abstract

The purpose of this study is to look into the differences in leaf functional traits between Cunninghamia lanceolata from different provenances, as well as to expose the response characteristics of leaf morphological and stoichiometric traits of Cunninghamia lanceolata from different provenances to diverse the environment of provenances. In this study, we chose 30 Cunninghamia lanceolata from different provenances as the research object and analyze the differences in leaf morphological and stoichiometric traits of Cunninghamia lanceolata from different provenances, the relationships among leaf functional traits, and the relationships between leaf functional traits and environmental factors of provenances. The results showed that the coefficient of variation of leaf morphological traits was 15.31% to 22.86%, and the coefficient of variation of stoichiometry provenances was 3.19% to 26.05%. The coefficient of variation of leaf carbon content was relatively small, indicating that carbon is the most stable element in the Cunninghamia lanceolata . And significant correlations are observed among different leaf functional traits. Using redundancy analysis to explore the relationship between leaf functional traits and environmental factors of provenances, it was found that the genetic effects of environmental factors explained 43.19% of the heterogeneity in leaf functional traits of Cunninghamia lanceolata . As a result, studying the variation of leaf functional traits of Cunninghamia lanceolata from different provenances, as well as how they correlate with environmental factors in provenances, is critical for understanding and predicting the responses and adaptations of Cunninghamia lanceolata from different provenances in the backdrop of global changes in the environment, and it additionally serves as a scientific basis for the sustainable development of Cunninghamia lanceolata and the selection of excellent Cunninghamia lanceolata provenances. Meanwhile, it makes scientific recommendations for China to do research on the sustainable development and productivity enhancement of cedar plantation forests.

Suggested Citation

  • Yihui Wang & Xiang Niu & Bing Wang, 2024. "Study on Leaf Morphological and Stoichiometric Traits of Cunninghamia lanceolata Based on Different Provenances," Sustainability, MDPI, vol. 16(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4236-:d:1396860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4236/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/10/4236/
    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.
    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. 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.
    2. Eleonora Beccari & Carlos P. Carmona, 2024. "Aboveground and belowground sizes are aligned in the unified spectrum of plant form and function," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. 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.
    4. 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).
    5. 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.
    6. Daijun Liu & Adriane Esquivel-Muelbert & Nezha Acil & Julen Astigarraga & Emil Cienciala & Jonas Fridman & Georges Kunstler & Thomas J. Matthews & Paloma Ruiz-Benito & Jonathan P. Sadler & Mart-Jan Sc, 2024. "Mapping multi-dimensional variability in water stress strategies across temperate forests," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    7. 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.
    8. 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.
    9. 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.
    10. 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 1-12, June.
    11. Xinli Chen & Peter B. Reich & Anthony R. Taylor & Zhengfeng An & Scott X. Chang, 2024. "Resource availability enhances positive tree functional diversity effects on carbon and nitrogen accrual in natural forests," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    12. 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.
    13. 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).
    14. Nadal, Miquel & Flexas, Jaume, 2019. "Variation in photosynthetic characteristics with growth form in a water-limited scenario: Implications for assimilation rates and water use efficiency in crops," Agricultural Water Management, Elsevier, vol. 216(C), pages 457-472.
    15. Lindh, Magnus & Manzoni, Stefano, 2021. "Plant evolution along the ‘fast–slow’ growth economics spectrum under altered precipitation regimes," Ecological Modelling, Elsevier, vol. 448(C).
    16. Mariana García Criado & Isla H. Myers-Smith & Anne D. Bjorkman & Signe Normand & Anne Blach-Overgaard & Haydn J. D. Thomas & Anu Eskelinen & Konsta Happonen & Juha M. Alatalo & Alba Anadon-Rosell & Is, 2023. "Plant traits poorly predict winner and loser shrub species in a warming tundra biome," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    17. Valentin Journé & Andrew Hacket-Pain & Michał Bogdziewicz, 2023. "Evolution of masting in plants is linked to investment in low tissue mortality," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    18. Margot Neyret & Gaëtane Provost & Andrea Larissa Boesing & Florian D. Schneider & Dennis Baulechner & Joana Bergmann & Franciska T. Vries & Anna Maria Fiore-Donno & Stefan Geisen & Kezia Goldmann & An, 2024. "A slow-fast trait continuum at the whole community level in relation to land-use intensification," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    19. Lamthai Asanok & Rungrawee Taweesuk & Torlarp Kamyo, 2021. "Plant Functional Diversity Is Linked to Carbon Storage in Deciduous Dipterocarp Forest Edges in Northern Thailand," Sustainability, MDPI, vol. 13(20), pages 1-12, October.
    20. Liting Zheng & Kathryn E. Barry & Nathaly R. Guerrero-Ramírez & Dylan Craven & Peter B. Reich & Kris Verheyen & Michael Scherer-Lorenzen & Nico Eisenhauer & Nadia Barsoum & Jürgen Bauhus & Helge Bruel, 2024. "Effects of plant diversity on productivity strengthen over time due to trait-dependent shifts in species overyielding," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    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:16:y:2024:i:10:p:4236-:d:1396860. 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.