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Evolutionary history resolves global organization of root functional traits

Author

Listed:
  • Zeqing Ma

    (Center for Forest Ecosystem Studies and Qianyanzhou Ecological Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

  • Dali Guo

    (Center for Forest Ecosystem Studies and Qianyanzhou Ecological Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

  • Xingliang Xu

    (Center for Forest Ecosystem Studies and Qianyanzhou Ecological Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

  • Mingzhen Lu

    (Princeton University)

  • Richard D. Bardgett

    (School of Earth and Environmental Sciences, The University of Manchester)

  • David M. Eissenstat

    (The Pennsylvania State University, University Park)

  • M. Luke McCormack

    (Center for Forest Ecosystem Studies and Qianyanzhou Ecological Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
    University of Minnesota)

  • Lars O. Hedin

    (Princeton University)

Abstract

Analyses of a global dataset of plant root traits identify an ancestral conservative strategy based on thick roots and mycorrhizal symbiosis, and an evolutionarily more-recent opportunistic strategy of thin roots that efficiently use photosynthetic carbon for soil exploration.

Suggested Citation

  • Zeqing Ma & Dali Guo & Xingliang Xu & Mingzhen Lu & Richard D. Bardgett & David M. Eissenstat & M. Luke McCormack & Lars O. Hedin, 2018. "Evolutionary history resolves global organization of root functional traits," Nature, Nature, vol. 555(7694), pages 94-97, March.
    • Handle: RePEc:nat:nature:v:555:y:2018:i:7694:d:10.1038_nature25783
    DOI: 10.1038/nature25783
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    Citations

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    Cited by:

    1. Lingyan Zhou & Xuhui Zhou & Yanghui He & Yuling Fu & Zhenggang Du & Meng Lu & Xiaoying Sun & Chenghao Li & Chunyan Lu & Ruiqiang Liu & Guiyao Zhou & Shahla Hosseni Bai & Madhav P. Thakur, 2022. "Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Jiajia Zheng & Grégoire T. Freschet & Leho Tedersoo & Shenggong Li & Han Yan & Lei Jiang & Huimin Wang & Ning Ma & Xiaoqin Dai & Xiaoli Fu & Liang Kou, 2024. "A trait-based root acquisition-defence-decomposition framework in angiosperm tree species," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Shuzhong Yu & Zhouyou Ni & Zhende Yang, 2022. "Biomass Allocation, Root Spatial Distribution, and the Physiological Response of Dalbergia odorifera Seedlings in Simulated Shallow Karst Fissure-Soil Conditions," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    4. Wang, Zeyi & Zhang, Hengjia & Wang, Yingying & Wang, Yong & Lei, Lian & Liang, Chao & Wang, Yucai, 2023. "Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Pointurier, Olivia & Moreau, Delphine & Pagès, Loïc & Caneill, Jacques & Colbach, Nathalie, 2021. "Individual-based 3D modelling of root systems in heterogeneous plant canopies at the multiannual scale. Case study with a weed dynamics model," Ecological Modelling, Elsevier, vol. 440(C).
    6. Yanfei Xie & Yi Li & Tingting Xie & Ruiling Meng & Zhiqiang Zhao, 2020. "Impact of artificially simulated precipitation patterns change on the growth and morphology of Reaumuria soongarica seedlings in Hexi Corridor of China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.

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