Leading nutrient foraging strategies shaping by root system characteristics along the elevations in rubber (Hevea brasiliensis) plantations
文献类型：期刊论文
| 作者 | Duan, Mengcheng2,3; Li, Liang1,2; Ding, Gaigai2; Ma, Zeqing2 |
| 刊名 | TREE PHYSIOLOGY
 |
| 出版日期 | 2022-07-15 |
| 页码 | 12 |
| 关键词 | biomass allocation elevational gradients functional equilibrium phosphorus root functional traits |
| ISSN号 | 0829-318X |
| DOI | 10.1093/treephys/tpac081 |
| 通讯作者 | Ma, Zeqing(mazq@igsnrr.ac.cn) |
| 英文摘要 | When it comes to root and mycorrhizal associations that define resource acquisition strategy, there is a need to identify the leading dimension across root physiology, morphology, architecture and whole plant biomass allocation to better predict the plant's responses to multiple environmental constraints. Here, we developed a new framework for understanding the variation in roots and symbiotic fungi by quantifying multiple-scale characteristics, ranging from anatomy to the whole plant. We chose the rubber (Hevea brasiliensis) grown at three elevations to test our framework and to identify the key dimensions for resource acquisition. Results showed that the quantities of absorptive roots and root system architecture, rather than single root traits, played the leading role in belowground resource acquisition. As the elevation increased from the low to high elevation, root length growth, productivity and root mass fraction (RMF) increased by 2.9-, 2.3- and 13.8-fold, respectively. The contribution of RMF to the changes in total root length was 3.6-fold that of specific root length (SRL). Root architecture exhibited higher plasticity than anatomy and morphology. Further, mycorrhizal colonization was highly sensitive to rising elevations with a non-monotonic pattern. By contrast, both leaf biomass and specific leaf area (traits) co-varied with increasing elevation. In summary, rubber trees changed root system architecture by allocating more biomass and lowering the reliance on mycorrhizal fungi rather than improving single root efficiency in adapting to high elevation. Our framework is instructive for traits-based ecology; accurate assessments of forest carbon cycling in response to resource gradient should account for the leading dimension of root system architecture. |
| WOS关键词 | ARBUSCULAR MYCORRHIZAL FUNGI ; FINE-ROOTS ; PLANT-ROOTS ; GLOBAL ORGANIZATION ; ECONOMICS SPECTRUM ; BIOMASS ALLOCATION ; TRAIT VARIATION ; PHOSPHORUS ; RESPONSES ; ADAPTATION |
| 资助项目 | Projects of the National Natural Science Foundation of China[31822010] ; Projects of the National Natural Science Foundation of China[31971633] ; Projects of the National Natural Science Foundation of China[32192432] ; '0-1' Original Innovation Project of the Chinese Academy of Sciences[ZDBS-LY-DQCO23] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000847779100001 |
| 出版者 | OXFORD UNIV PRESS |
| 资助机构 | Projects of the National Natural Science Foundation of China ; '0-1' Original Innovation Project of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182193]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Zeqing |
| 作者单位 | 1.Jiangxi Acad Sci, Inst Microbiol, Nanchang 330096, Jiangxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Mengcheng,Li, Liang,Ding, Gaigai,et al. Leading nutrient foraging strategies shaping by root system characteristics along the elevations in rubber (Hevea brasiliensis) plantations[J]. TREE PHYSIOLOGY,2022:12. |
| APA | Duan, Mengcheng,Li, Liang,Ding, Gaigai,&Ma, Zeqing.(2022).Leading nutrient foraging strategies shaping by root system characteristics along the elevations in rubber (Hevea brasiliensis) plantations.TREE PHYSIOLOGY,12. |
| MLA | Duan, Mengcheng,et al."Leading nutrient foraging strategies shaping by root system characteristics along the elevations in rubber (Hevea brasiliensis) plantations".TREE PHYSIOLOGY (2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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