A trait-based root acquisition-defence-decomposition framework in angiosperm tree species
文献类型:期刊论文
作者 | Zheng, Jiajia3,4,5; Freschet, Gregoire T.6; Tedersoo, Leho7,8; Li, Shenggong4,5; Yan, Han1,9; Jiang, Lei2; Wang, Huimin3,4,5; Ma, Ning4,5; Dai, Xiaoqin3,4; Fu, Xiaoli3,4,5 |
刊名 | NATURE COMMUNICATIONS
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出版日期 | 2024-06-21 |
卷号 | 15期号:1页码:5311 |
DOI | 10.1038/s41467-024-49666-3 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | To adapt to the complex belowground environment, plants make trade-offs between root resource acquisition and defence ability. This includes forming partnerships with different types of root associating microorganisms, such as arbuscular mycorrhizal and ectomycorrhizal fungi. These trade-offs, by mediating root chemistry, exert legacy effects on nutrient release during decomposition, which may, in turn, affect the ability of new roots to re-acquire resources, thereby generating a feedback loop. However, the linkages at the basis of this potential feedback loop remain largely unquantified. Here, we propose a trait-based root 'acquisition-defence-decomposition' conceptual framework and test the strength of relevant linkages across 90 angiosperm tree species. We show that, at the plant species level, the root-fungal symbiosis gradient within the root economics space, root chemical defence (condensed tannins), and root decomposition rate are closely linked, providing support to this framework. Beyond the dichotomy between arbuscular mycorrhizal-dominated versus ectomycorrhizal-dominated systems, we suggest a continuous shift in feedback loops, from 'high arbuscular mycorrhizal symbiosis-low defence-fast decomposition-inorganic nutrition' by evolutionarily ancient taxa to 'high ectomycorrhizal symbiosis-high defence-slow decomposition-organic nutrition' by more modern taxa. This 'acquisition-defence-decomposition' framework provides a foundation for testable hypotheses on multidimensional linkages between species' belowground strategies and ecosystem nutrient cycling in an evolutionary context. This work on 90 angiosperm tree species presents a trait-based root 'acquisition-defence-decomposition' framework. In support, the study shows how tree root economics strategy and mycorrhizal strategy strongly correlate with root litter chemical defences that define root decomposability, with multiple potential consequences feeding back on tree nutrition. |
WOS关键词 | PLANT ECONOMICS SPECTRUM ; FINE ROOTS ; MYCORRHIZAL COLONIZATION ; FUNCTIONAL TRAITS ; SOIL FEEDBACKS ; LITTER ; EVOLUTION ; PATTERNS ; NITROGEN ; FOREST |
WOS研究方向 | Science & Technology - Other Topics |
WOS记录号 | WOS:001252409000009 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/206143] ![]() |
专题 | 千烟洲站森林生态系统研究中心_外文论文 |
通讯作者 | Kou, Liang |
作者单位 | 1.Free Univ Berlin, Inst Biol, D-14195 Berlin, Germany 2.Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Qianyanzhou Ecol Res Stn, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 6.CNRS, Theoret & Expt Ecol Stn, F-09200 Moulis, France 7.Univ Tartu, Mycol & Microbiol Ctr, Tartu, Estonia 8.King Saud Univ, Coll Sci, Dept Zool, Riyadh, Saudi Arabia 9.Berlin Brandenburg Inst Adv Biodivers Res, D-14195 Berlin, Germany |
推荐引用方式 GB/T 7714 | Zheng, Jiajia,Freschet, Gregoire T.,Tedersoo, Leho,et al. A trait-based root acquisition-defence-decomposition framework in angiosperm tree species[J]. NATURE COMMUNICATIONS,2024,15(1):5311. |
APA | Zheng, Jiajia.,Freschet, Gregoire T..,Tedersoo, Leho.,Li, Shenggong.,Yan, Han.,...&Kou, Liang.(2024).A trait-based root acquisition-defence-decomposition framework in angiosperm tree species.NATURE COMMUNICATIONS,15(1),5311. |
MLA | Zheng, Jiajia,et al."A trait-based root acquisition-defence-decomposition framework in angiosperm tree species".NATURE COMMUNICATIONS 15.1(2024):5311. |
入库方式: OAI收割
来源:地理科学与资源研究所
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