Leaf Trait Networks Based on Global Data: Representing Variation and Adaptation in Plants
文献类型：期刊论文
| 作者 | Li, Ying2; Liu, Congcong2; Xu, Li2; Li, Mingxu2; Zhang, Jiahui2; He, Nianpeng1,2,3 |
| 刊名 | FRONTIERS IN PLANT SCIENCE
 |
| 出版日期 | 2021-12-07 |
| 卷号 | 12页码:10 |
| 关键词 | functional trait network analysis leaf trait network adaptation leaf ecnomic traits |
| ISSN号 | 1664-462X |
| DOI | 10.3389/fpls.2021.710530 |
| 通讯作者 | He, Nianpeng(henp@igsnrr.ac.cn) |
| 英文摘要 | The interdependence of multiple traits allows plants to perform multiple functions. Acquiring an accurate representation of the interdependence of plant traits could advance our understanding of the adaptative strategies of plants. However, few studies focus on complex relationships among multiple traits. Here, we proposed use of leaf trait networks (LTNs) to capture the complex relationships among traits, allowing us to visualize all relationships and quantify how they differ through network parameters. We established LTNs using six leaf economic traits. It showed that significant differences in LTNs of different life forms and growth forms. The trait relationships of broad-leaved trees were tighter than conifers; thus, broad-leaved trees could be more efficient than conifers. The trait relationships of shrubs were tighter than trees because shrubs require multiple traits to co-operate efficiently to perform multiple functions for thriving in limited resources. Furthermore, leaf nitrogen concentration and life span had the highest centrality in LTNs; consequently, the environmental selection of these two traits might impact the whole phenotype. In conclusion, LTNs are useful tools for identifying key traits and quantifying the interdependence of multiple traits. |
| WOS关键词 | ECONOMICS SPECTRUM ; HYDRAULIC TRAITS ; EVOLUTION ; DIMENSIONALITY ; STRATEGIES ; CENTRALITY ; AREA ; MASS ; TRY |
| WOS研究方向 | Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000741440000001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169692]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | He, Nianpeng |
| 作者单位 | 1.Northeast Normal Univ, Minist Educ, Key Lab Vegetat Ecol, Changchun, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Ying,Liu, Congcong,Xu, Li,et al. Leaf Trait Networks Based on Global Data: Representing Variation and Adaptation in Plants[J]. FRONTIERS IN PLANT SCIENCE,2021,12:10. |
| APA | Li, Ying,Liu, Congcong,Xu, Li,Li, Mingxu,Zhang, Jiahui,&He, Nianpeng.(2021).Leaf Trait Networks Based on Global Data: Representing Variation and Adaptation in Plants.FRONTIERS IN PLANT SCIENCE,12,10. |
| MLA | Li, Ying,et al."Leaf Trait Networks Based on Global Data: Representing Variation and Adaptation in Plants".FRONTIERS IN PLANT SCIENCE 12(2021):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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