3D imaging of single bacterial cells using surface-enhanced Raman spectroscopy with a multivariate curve resolution model
文献类型：期刊论文
| 作者 | Liu, Wenjing; Jing, Chuanbo; Liu, Xiaowei; Du, Jingjing |
| 刊名 | ANALYST
 |
| 出版日期 | 2021-11-25 |
| 卷号 | 10期号:10页码:- |
| 关键词 | plant adaptation strategy plant functional traits trait covariation multivariate analysis aridity gradient |
| 英文摘要 | Simple Summary Plants usually adopt different strategies to adapt to their surrounding environments. Accurately quantifying plant strategies is of great interest in trait-based ecology, in particular to understand the responses of ecological structures and processes. In the last two decades, these strategies have been described qualitatively; however, the use of quantitative methods is still lacking. In this study, we used a plant functional trait approach to discuss plant strategies along an aridity gradient. We found that eight functional traits divided into four dimensions represent four adaptation strategies: energy balance, resource acquisition, resource investment and water use efficiency. We also concluded that climate and soil together with family (vegetation succession) were the main driving forces of trait covariations. Our study provided a new perspective to understand plant functional responses to aridity gradients, which is helpful for ecological management and vegetation restoration programs in arid regions. A trait-based approach is an effective way to quantify plant adaptation strategies in response to changing environments. Single trait variations have been well depicted before; however, multi-trait covariations and their roles in shaping plant adaptation strategies along aridity gradients remain unclear. The purpose of this study was to reveal multi-trait covariation characteristics, their controls and their relevance to plant adaptation strategies. Using eight relevant plant functional traits and multivariate statistical approaches, we found the following: (1) the eight studied traits show evident covariation characteristics and could be grouped into four functional dimensions linked to plant strategies, namely energy balance, resource acquisition, resource investment and water use efficiency; (2) leaf area (LA) together with traits related to the leaf economic spectrum, including leaf nitrogen content per area (N-area), leaf nitrogen per mass (N-mass) and leaf dry mass per area (LMA), covaried along the aridity gradient (represented by the moisture index, MI) and dominated the trait-environmental change axis; (3) together, climate, soil and family can explain 50.4% of trait covariations; thus, vegetation succession along the aridity gradient cannot be neglected in trait covariations. Our findings provide novel perspectives toward a better understanding of plant adaptations to arid conditions and serve as a reference for vegetation restoration and management programs in arid regions. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/46788]  |
| 专题 | 生态环境研究中心_环境化学与生态毒理学国家重点实验室 |
| 作者单位 | 1.Minist Agr & Rural Affairs, Key Lab Environm Factors Control Agroprod Qual Sa, Agroenvironm Protect Inst, Tianjin 300191, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Chem & Ecotoxicol, Beijing 100085, Peoples R China 3.4 Hosp Jinan, Jinan 250031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Wenjing,Jing, Chuanbo,Liu, Xiaowei,et al. 3D imaging of single bacterial cells using surface-enhanced Raman spectroscopy with a multivariate curve resolution model[J]. ANALYST,2021,10(10):-. |
| APA | Liu, Wenjing,Jing, Chuanbo,Liu, Xiaowei,&Du, Jingjing.(2021).3D imaging of single bacterial cells using surface-enhanced Raman spectroscopy with a multivariate curve resolution model.ANALYST,10(10),-. |
| MLA | Liu, Wenjing,et al."3D imaging of single bacterial cells using surface-enhanced Raman spectroscopy with a multivariate curve resolution model".ANALYST 10.10(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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