中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data

文献类型:期刊论文

作者Wen, Zhaofei1,2; Ma, Maohua1; Zhang, Ce3; Yi, Xuemei1; Chen, Jilong1; Wu, Shengjun1; Wen, Zhaofei4,5; Ma, Maohua4; Zhang, Ce6; Yi, Xuemei4
刊名ECOLOGICAL INDICATORS
出版日期2017-12-01
卷号83页码:441-450
ISSN号1470-160X
关键词Three Gorges Reservoir Non-destructive method Cynodon dactylon Gap fraction Seasonal change General model
DOI10.1016/j.2017.07.048
通讯作者Wu, SJ (reprint author), Chinese Acad Sci, Ecol Proc & Reconstruct Res Ctr Three Gorges Ecol, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing 400714, Peoples R China.
英文摘要The aboveground biomass (AGB) of vegetation is of central importance for ecosystem services by providing a measure of productivity. Models have been developed for estimating AGB via canopy structural variables in both fundamental and applied ecological studies. However, the potential of canopy structural variables for describing AGB dynamics throughout a growing season are still unclear. This study focuses on the AGB seasonal dynamics of a pioneer community, Cynodon dactylon (L.) Pers. (Bermuda grass), in a newly-formed riparian habitat at China's Three Gorges Reservoir. The objectives are (1) to determine the most important structural variable for estimating AGB at different growing stages during the season, and (2) to develop a model that can estimate AGB at the different growing stages and using multiple structural variables. We sampled the C. dactylon community six times during the growing season from May to September 2016. Six variables were engaged in the analysis, including five canopy structural variables, i.e., canopy height (H), canopy cover (CC), leaf area index (LAI), the volume related variables V-LAI (H x LAI) and V-cc (H x CC), and one seasonal growth effect variable (SV). We conducted univariate linear regression analysis to determine the most important estimator of AGB and the best subset regression analysis were used to develop the AGB estimation model. The detected most important AGB estimator changed with different growing stages throughout a season. Canopy structural characteristics of the community are key factors for determining such changes. Cover was the most important variable for AGB estimation during the early growing season and V-LAI was the most important variable in the mid and end of the growing season. The developed best multivariate models explained an additional 11% in AGB variance on average for the different growing stages compared with the univariate models using the most important estimators. SV was found to be useful in developing an acceptance general AGB estimation model appropriate for the entire growing season. The findings of this study are expected to provide knowledge for guiding sampling work and to assist with modeling AGB and understanding the AGB seasonal dynamics in the future.
资助项目National Natural Science Foundation of China[41501096] ; National Natural Science Foundation of China[41571497] ; National Natural Science Foundation of China[41401051]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000417551800042
源URL[http://172.16.51.4:88/handle/2HOD01W0/110]  
专题生态过程与重建研究中心
通讯作者Wu, Shengjun; Wu, Shengjun
作者单位1.Chinese Acad Sci, Ecol Proc & Reconstruct Res Ctr Three Gorges Ecol, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing 400714, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
4.Chinese Acad Sci, Ecol Proc & Reconstruct Res Ctr Three Gorges Ecol, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing 400714, Peoples R China
5.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
6.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
推荐引用方式
GB/T 7714
Wen, Zhaofei,Ma, Maohua,Zhang, Ce,et al. Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data[J]. ECOLOGICAL INDICATORS,2017,83:441-450.
APA Wen, Zhaofei.,Ma, Maohua.,Zhang, Ce.,Yi, Xuemei.,Chen, Jilong.,...&Wu, Shengjun.(2017).Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data.ECOLOGICAL INDICATORS,83,441-450.
MLA Wen, Zhaofei,et al."Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data".ECOLOGICAL INDICATORS 83(2017):441-450.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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