Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ecolind.2021.108212 |
Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale | |
Yao, Zhenyu; Qing, Hua; Yang, Liu; Zhao, Liqing | |
通讯作者 | Qing, H ; Zhao, LQ (corresponding author), Inner Mongolia Univ, Inner Mongolia Key Lab Grassland Ecol, Hohhot 010021, Peoples R China. |
来源期刊 | ECOLOGICAL INDICATORS
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ISSN | 1470-160X |
EISSN | 1872-7034 |
出版年 | 2021 |
卷号 | 131 |
英文摘要 | Monitoring how plant biomass changes with environmental conditions is critical for evaluating ecosystem carbon storage and understanding the underlying mechanisms of carbon dynamics. Usually destructive methods require a lot of time and cost. And the non-destructive methods to repeatedly estimate the biomass of herbaceous plants across large scale environmental conditions are still limited. Leymus chinensis, as an important constructive species, constitutes a unique community type in the eastern Eurasian steppe across the semi-humid, semi-arid and arid areas in the middle temperate and warm temperate zones. Therefore, it is necessary to analyze the driving factors and establish a unified estimation equation of the aboveground biomass (AGB) of L. chinensis across large scale. In this study, for the first time, we combined climatic factors and plant characteristics to analyze the individual AGB of L. chinensis in northern China, and established a non-destructive prediction model that can accurately quantify the AGB of L. chinensis across large scale in China. 33 sites across different climate conditions with L. chinensis as the constructive species in China were sampled to measure plant traits of L. chinensis individual, including leaf thickness (LT), stem diameter (SD), stem length (SL), plant height (PH), etc. We found that plant traits (PH,SD) were the main factors driving the AGB of L. chinensis individuals, and climate factors mainly affected AGB of L. chinensis individuals indirectly by affecting plant traits. Then, we established the AGB estimation equation of L. chinensis individuals across large scale for the first time. The equation was: AGB = -0.638 + 0.405*SD + 0.017*PH, which had a high predictive ability. The result is not only helpful to quickly and conveniently measure the AGB of L. chinensis individuals in non-destructive experiments, but also important to evaluate the productivity and carbon storage of L. chinensis community across large scale. At the same time, it also laid the foundation for the subsequent non-destructive estimation of the aboveground biomass of individual plants. |
英文关键词 | Leymus chinensis Aboveground biomass Climate factors Plant height Stem diameter Estimation equation |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000703702200003 |
WOS关键词 | BELOW-GROUND BIOMASS ; LEAF THICKNESS ; PLANT BIOMASS ; AREA LMA ; MASS ; TEMPERATURE ; TRAITS ; RESOLUTION ; NITROGEN ; DRIVERS |
WOS类目 | Biodiversity Conservation ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362999 |
作者单位 | [Qing, Hua; Zhao, Liqing] Inner Mongolia Univ, Inner Mongolia Key Lab Grassland Ecol, Hohhot 010021, Peoples R China; Inner Mongolia Univ, Sch Ecol & Environm, Hohhot 010021, Peoples R China |
推荐引用方式 GB/T 7714 | Yao, Zhenyu,Qing, Hua,Yang, Liu,et al. Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale[J],2021,131. |
APA | Yao, Zhenyu,Qing, Hua,Yang, Liu,&Zhao, Liqing.(2021).Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale.ECOLOGICAL INDICATORS,131. |
MLA | Yao, Zhenyu,et al."Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale".ECOLOGICAL INDICATORS 131(2021). |
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