中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Solar-induced chlorophyll fluorescence as an indicator for determining the end date of the vegetation growing season

文献类型:期刊论文

作者Wang, Fei1,2; Chen, Baozhang1,2,3,4; Lin, Xiaofeng1,2; Zhang, Huifang2
刊名ECOLOGICAL INDICATORS
出版日期2020-02-01
卷号109页码:11
关键词End date of growing season Solar-induced chlorophyll fluorescence Normalized difference vegetation index Light use efficiency model Environmental factors
ISSN号1470-160X
DOI10.1016/j.ecolind.2019.105755
通讯作者Chen, Baozhang(baozhang.chen@igsnrr.ac.cn)
英文摘要In this study, the performance of solar-induced chlorophyll fluorescence (SIF) in detecting the end date of the vegetation growing season (EGS) is evaluated at the canopy level. The experiment was conducted at two ecological stations in the Olympic Park mixed forest and Yucheng cropland in China. Validated against the gross primary productivity (GPP) measured by the eddy covariance technique (GPP(EC)), the SIF was first compared with the normalized difference vegetation index (NDVI). The results showed that at the Olympic Park station (mixed forest), the EGS of SIF was 4 days earlier than that of the GPP(EC), and the EGS of the NDVI showed 2 days of hysteresis. However, in the Yucheng cropland, the EGS of the NDVI was 26 days later than that of the GPP(EC), while SIF lagged by 18 days. Considering the total biases against the EGS of GPP(EC), the SIF was comprehensively superior to the NDVI for determining the end date of the vegetation growing season in these two ecosystems. SIF was further incorporated into a light use efficiency model to estimate the GPP, which was also used to extract the EGS. Two sets of inputs were employed, including the photochemical reflectance index and SIF, apparent fluorescence yield and SIF. The results showed that this SIF-based light use efficiency model can yield good estimations of GPPs, with correlation coefficients of all GPP values being above 0.8 for both ecosystems. Additionally, the estimated end dates of the vegetation growing season were better than those from the single SIF proxy. In particular, the combination of the two fluorescence variables used in the light use efficiency model contributed the best performance in that the EGS was 2 days earlier than that of the GPP(EC) at Olympic Park station and 13 days later than that of the GPP(EC) at Yucheng station. The EGS was improved by 2 days and 5 days for the mixed forest site and cropland site, respectively, compared to the EGSs determined by SIF. The influences of air temperature and sunlight availability on the temporal patterns of the GPP, SIF and NDVI was investigated. Light was the main factor controlling the GPP and SIF, while the NDVI was primarily controlled by the air temperature in both ecosystems. These results explained the different mechanisms of the three surrogates, and therefore, the distinct performances in detecting the EGSs of plants was explained. Our findings suggest that SIF is suitable for determining the end date of the vegetation growing season, regardless of whether it is used alone or in combination with other photosynthetic indices in mixed forest and cropland ecosystems. The errors in the estimated EGS can be limited to twenty days. Based on the results of this study, SIF can be more widely employed either in the ecological field to investigate vegetation dynamics and carbon cycling or in the agronomic field to predict the harvest period and adjust agricultural management strategies.
WOS关键词GROSS PRIMARY PRODUCTION ; LIGHT-USE EFFICIENCY ; PHOTOCHEMICAL REFLECTANCE INDEX ; SUN-INDUCED FLUORESCENCE ; PHOTOSYNTHETIC CAPACITY ; CARBON-DIOXIDE ; PHENOLOGY ; PRODUCTIVITY ; LEAF ; RADIATION
资助项目National Key R&D Program of China[2018YFA0606001] ; National Key R&D Program of China[2017YFA0604302] ; National Key R&D Program of China[2017YFA0604301] ; National Natural Science Foundation of China[41771114] ; National Natural Science Foundation of China[41271116] ; State Key Laboratory of Resources and Environment Information System[088RA901YA]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000500940400053
出版者ELSEVIER
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environment Information System
源URL[http://ir.igsnrr.ac.cn/handle/311030/130372]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Baozhang
作者单位1.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Wang, Fei,Chen, Baozhang,Lin, Xiaofeng,et al. Solar-induced chlorophyll fluorescence as an indicator for determining the end date of the vegetation growing season[J]. ECOLOGICAL INDICATORS,2020,109:11.
APA Wang, Fei,Chen, Baozhang,Lin, Xiaofeng,&Zhang, Huifang.(2020).Solar-induced chlorophyll fluorescence as an indicator for determining the end date of the vegetation growing season.ECOLOGICAL INDICATORS,109,11.
MLA Wang, Fei,et al."Solar-induced chlorophyll fluorescence as an indicator for determining the end date of the vegetation growing season".ECOLOGICAL INDICATORS 109(2020):11.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。