中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Gaseous Elemental Mercury [Hg(0)] Oxidation in Poplar Leaves through a Two-Step Single-Electron Transfer Process

文献类型:期刊论文

作者Liu, Yanwei; Tao, Hui; Wang, Ying; Fang, Yingying; Xiang, Yuping; Liu, Guangliang; Guo, Yingying; Liu, Jiyan; Yin, Yongguang; Cai, Yong
刊名ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
出版日期2021-10-14
卷号133页码:-
关键词Tree growth Rapid warming Co-occurring community Resistance Recovery Temperate forest
ISSN号1470-160X
英文摘要Temperate forests in northeast Asia are crucial to maintaining biodiversity conservation and ecological security. Under the background of global warming and drought, it is of great significance to study the special indicator effect of tree growth on climate change. Dendrochronological analysis of different tree species in the same community under climate change can provide valuable information for the adaptive potential of tree species and the species-specific growth indications. Here, we compared the radial growth patterns of 13 co-occurring tree species in a temperate forest community in northeast China. Pearson correlation and moving interval analysis were used to reveal the key climate factors affecting radial growth and the temporal stability of growth-climate relationships, respectively. Results showed that temperature and moisture played a key role in the radial growth of the 13 co-occurring tree species in northeast China. The radial growth of Pinus sylvestris var. mongolica, Picea koraiensis, and Ulmus davidiana increased significantly after rapid warming (around the 1980s), while the radial growth of Pinus koraiensis, Acer mono, and Betula platyphylla decreased slightly. The radial growth of almost all tree species (except P. koraiensis, A. mono, and B. platyphylla) had a positive indication of temperature, especially Juglans mandshurica, Fraxinus mandshurica, and U. davidiana. The precipitation in the early growing season (May to June) and the relative humidity in the growing season were positively correlated with the growth of most species. Coniferous and diffuse-porous tree species were more resistant and recovery to extreme droughts than semi-ring-porous and ring-porous species (except U. davidiana). The 13 co-occurring tree species, especially conifers, showed low resistance and high recovery to extreme temperature. The differences in the growth-climate relationships among different species may be related to wood properties and ecological habits. If the climate continues to warm, coniferous trees will suffer the most serious impact, so they need protection most. Our results highlight that differentiated strategies are needed for the management and restoration of different tree species due to the species-specific indications of climate warming.
源URL[https://ir.rcees.ac.cn/handle/311016/46838]  
专题生态环境研究中心_环境纳米材料实验室
作者单位1.Florida Int Univ, Dept Chem & Biochem, Miami, FL 33199 USA
2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Chem & Ecotoxicol, Beijing 100085, Peoples R China
3.[Yin, Yongguang
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Lab Environm Nanotechnol & Hlth Effect, Beijing 100085, Peoples R China
5.UCAS, Hangzhou Inst Adv Study, Sch Environm, Hangzhou 310024, Peoples R China
6.Jianghan Univ, Inst Environm & Hlth, Wuhan 430056, Peoples R China
7.Univ Chinese Acad Sci UCAS, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yanwei,Tao, Hui,Wang, Ying,et al. Gaseous Elemental Mercury [Hg(0)] Oxidation in Poplar Leaves through a Two-Step Single-Electron Transfer Process[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS,2021,133:-.
APA Liu, Yanwei.,Tao, Hui.,Wang, Ying.,Fang, Yingying.,Xiang, Yuping.,...&Jiang, Guibin.(2021).Gaseous Elemental Mercury [Hg(0)] Oxidation in Poplar Leaves through a Two-Step Single-Electron Transfer Process.ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS,133,-.
MLA Liu, Yanwei,et al."Gaseous Elemental Mercury [Hg(0)] Oxidation in Poplar Leaves through a Two-Step Single-Electron Transfer Process".ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 133(2021):-.

入库方式: OAI收割

来源:生态环境研究中心

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