Scaling-Up Methods Influence on the Spatial Variation in Plant Community Traits: Evidence Based on Leaf Nitrogen Content
文献类型：期刊论文
| 作者 | Wang, Ruomeng2,3; Li, Mingxu3; Xu, Li3; Li, Shenggong2,3; He, Nianpeng1,2,3 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 127期号:8页码:11 |
| 关键词 | leaf nitrogen community trait scaling-up community-weighted mean |
| ISSN号 | 2169-8953 |
| DOI | 10.1029/2021JG006653 |
| 通讯作者 | Li, Shenggong(lisg@igsnrr.ac.cn) ; He, Nianpeng(henp@igsnrr.ac.cn) |
| 英文摘要 | Plant functional traits have received increasing attention at a community scale. There are three methods, for scaling-up from the organ to the community: species arithmetic mean (SAM), community-weighted mean (CWM), and per unit land area community-weighted mean (PLA-CWM). To date, it is unclear how these scaling-up methods influence the spatial variation of these plant community traits. Here, we consistently measured the leaf nitrogen content (N) of 1,844 plant species from 22 natural communities along a 5,100 km transect with a temperature and precipitation gradient and explored the potential effect of different scaling-up methods on leaf N in the community as N-SAM, N-CWM, and NPLA-CWM. Our results demonstrated that leaf N at the community scale showed a different spatial variation among the three methods and was dependent on climate or plant community types. N-SAM and N-CWM decreased significantly with the increasing of mean annual precipitation (MAP), and NPLA-CWM showed the opposite trend. Furthermore, N-SAM overestimated the leaf nitrogen content at the community level compared to N-CWM. SAM underestimated leaf nitrogen in a dry or cold environment and vice versa in a wet or warm environment compared to CWM. With MAP greater than 300 mm or with mean annual temperature higher than 0.24 degrees C, N-SAM and N-CWM were significantly different, which should be emphasized. Based on these findings, over- or underestimation from different scaling-up methods should be tested in other plant community traits. In summary, community-weighted methods (CWM and PLA-CWM), covering community information on species composition and traits, implicating many important ecological processes, should be helpful for evaluating the spatial variation of plant community traits on a large scale in the future. |
| WOS关键词 | N-P STOICHIOMETRY ; PHOSPHORUS STOICHIOMETRY ; COLD-TEMPERATE ; TERRESTRIAL ; FORESTS ; WATER ; PHOTOSYNTHESIS ; MACROECOLOGY ; ASSOCIATION ; STRATEGIES |
| 资助项目 | National Natural Science Foundation of China[31961143022] ; National Natural Science Foundation of China[31870437] ; program of Youth Innovation Research Team Project[LENOM2016Q0005] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000842415100001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of China ; program of Youth Innovation Research Team Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166682]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Shenggong; He, Nianpeng |
| 作者单位 | 1.Northeast Forestry Univ, Ctr Ecol Res, Harbin, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ruomeng,Li, Mingxu,Xu, Li,et al. Scaling-Up Methods Influence on the Spatial Variation in Plant Community Traits: Evidence Based on Leaf Nitrogen Content[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2022,127(8):11. |
| APA | Wang, Ruomeng,Li, Mingxu,Xu, Li,Li, Shenggong,&He, Nianpeng.(2022).Scaling-Up Methods Influence on the Spatial Variation in Plant Community Traits: Evidence Based on Leaf Nitrogen Content.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,127(8),11. |
| MLA | Wang, Ruomeng,et al."Scaling-Up Methods Influence on the Spatial Variation in Plant Community Traits: Evidence Based on Leaf Nitrogen Content".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 127.8(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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