Root quantity traits: a leading dimension in root trait space
文献类型：期刊论文
| 作者 | Wang, Ruili1,12; Kong, Deliang9,10,11; Han, Meixu12; Sack, Lawren8; Lambers, Hans7; Cornelissen, J. Hans C.6; Li, Qiang1,12; Zhang, Shuoxin1,12; Wang, Xue12; Wang, Zhibo5 |
| 刊名 | NEW PHYTOLOGIST
 |
| 出版日期 | 2026-03-11 |
| 卷号 | N/A |
| 关键词 | community level grasslands root foraging-efficiency traits root quantity and quality trait matrix root quantity traits root uptake-efficiency traits |
| ISSN号 | 0028-646X |
| DOI | 10.1111/nph.71073 |
| 产权排序 | 12 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Plant resource uptake depends on the interplay between the quantity and quality of roots, yet their coordination at the community level remains poorly understood. Using standardized root cores across 20 diverse grassland sites on the Inner Mongolian Plateau and the Tibetan Plateau, we quantified community-level root quantity traits (mass, length, and nitrogen density per soil volume) and quality traits (specific root length (SRL), nitrogen concentration, and root tissue density (RTD)). The two regions differ markedly in soil, climate, and species composition. Community-level root traits clustered into three orthogonal dimensions. The root quantity dimension, reflecting carbon investment in roots for soil exploration, was correlated with soil nitrate concentration. Two root quality dimensions captured contrasting strategies: a foraging-efficiency dimension represented by a negative correlation between RTD and SRL, and an uptake-efficiency dimension related to root nitrogen concentration. Different from the quantity dimension, the efficiency dimensions were regulated by distinct environmental factors within each region, highlighting the context-dependency of root trait-environment interactions. Collectively, our findings show that community-level root strategies can be captured by a tri-dimensional root quantity-quality trait matrix, which represents a novel understanding of the community-level plant assemblies and their responses and adaptation to climate change. |
| URL标识 | 查看原文 |
| WOS关键词 | PLANT ; PATTERNS ; SOIL ; STRATEGIES ; ALLOCATION ; DRIVERS ; LEAVES |
| WOS研究方向 | Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001711651500001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221307]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Kong, Deliang; He, Nianpeng; Yu, Guirui |
| 作者单位 | 1.Qinling Natl Forest Ecosyst Res Stn, Yangling 712100, Shaanxi, Peoples R China; 2.Natl Forestry & Grassland Adm, Key Lab Boreal Forest Ecosyst Conservat & Restorat, Harbin 150040, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Shaanxi Hygrogeol Engn Geol & Environm Geol Survey, Xian 710068, Shaanxi, Peoples R China; 5.Northwest A&F Univ, Inst Soil & Water Conservat, Coll Soil Water Conservat Sci & Engn, ,Yangling, Yangling 712100, Peoples R China; 6.Vrije Univ, Amsterdam Inst Life & Environm A LIFE, Sect Syst Ecol, NL-1081 BT Amsterdam, Netherlands; 7.Univ Western Australia, Sch Biol Sci, 35 Stirling Highway, Perth, WA 6009, Australia; 8.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90025 USA; 9.Henan Agr Univ, Henan Prov Engn Res Ctr Crop Synthet Biol, Zhengzhou 450046, Peoples R China; 10.State Key Lab High Efficiency Prod Wheat Maize Cro, Zhengzhou 450002, Henan, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Ruili,Kong, Deliang,Han, Meixu,et al. Root quantity traits: a leading dimension in root trait space[J]. NEW PHYTOLOGIST,2026,N/A. |
| APA | Wang, Ruili.,Kong, Deliang.,Han, Meixu.,Sack, Lawren.,Lambers, Hans.,...&Yu, Guirui.(2026).Root quantity traits: a leading dimension in root trait space.NEW PHYTOLOGIST,N/A. |
| MLA | Wang, Ruili,et al."Root quantity traits: a leading dimension in root trait space".NEW PHYTOLOGIST N/A(2026). |
入库方式： OAI收割
来源：地理科学与资源研究所
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