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Light Use Efficiency Model Based on Chlorophyll Content Better Captures Seasonal Gross Primary Production Dynamics of Deciduous Broadleaf Forests

文献类型：期刊论文

作者Yang, Rongjuan1,2; Liu, Ronggao1; Liu, Yang1; Chen, Jingming3,4; Xu, Mingzhu3; He, Jiaying1
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期2024-12-13
卷号N/A
关键词canopy chlorophyll content (Chlcanopy) photosynthesis gross primary production (GPP) light use efficiency (LUE) model seasonal dynamics deciduous broadleaf forest (DBF)
DOI10.1007/s11769-024-1482-1
产权排序1
文献子类Article ; Early Access
英文摘要Gross primary production (GPP) is a crucial indicator representing the absorption of atmospheric CO2 by vegetation. At present, the estimation of GPP by remote sensing is mainly based on leaf-related vegetation indexes and leaf-related biophysical parameter leaf area index (LAI), which are not completely synchronized in seasonality with GPP. In this study, we proposed chlorophyll content-based light use efficiency model (CC-LUE) to improve GPP estimates, as chlorophyll is the direct site of photosynthesis, and only the light absorbed by chlorophyll is used in the photosynthetic process. The CC-LUE model is constructed by establishing a linear correlation between satellite-derived canopy chlorophyll content (Chlcanopy) and FPAR. This method was calibrated and validated utilizing 7-d averaged in-situ GPP data from 14 eddy covariance flux towers covering deciduous broadleaf forest ecosystems across five different climate zones. Results showed a relatively robust seasonal consistency between Chlcanopy with GPP in deciduous broadleaf forests under different climatic conditions. The CC-LUE model explained 88% of the in-situ GPP seasonality for all validation site-year and 56.0% of in-situ GPP variations through the growing season, outperforming the three widely used LUE models (MODIS-GPP algorithm, Vegetation Photosynthesis Model (VPM), and the eddy covariance-light use efficiency model (EC-LUE)). Additionally, the CC-LUE model (RMSE = 0.50 g C/(m2d)) significantly improved the underestimation of GPP during the growing season in semi-arid region, remarkably decreasing the root mean square error of averaged growing season GPP simulation and in-situ GPP by 75.4%, 73.4%, and 37.5%, compared with MOD17 (RMSE = 2.03 g C/(m2d)), VPM (RMSE = 1.88 g C/(m2d)), and EC-LUE (RMSE = 0.80 g C/(m2d)) model. The chlorophyll-based method proved superior in capturing the seasonal variations of GPP in forest ecosystems, thereby providing the possibility of a more precise depiction of forest seasonal carbon uptake.
WOS关键词CARBON UPTAKE ; INTERANNUAL VARIABILITY ; REMOTE ESTIMATION ; SOIL RESPIRATION ; BEECH FOREST ; OAK FOREST ; SATELLITE ; ECOSYSTEM ; CLIMATE ; MODIS
WOS研究方向Environmental Sciences & Ecology
WOS记录号WOS:001379537200001
源URL[http://ir.igsnrr.ac.cn/handle/311030/210429]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liu, Ronggao
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fujian Normal Univ, Sch Geog Sci, Key Lab Humid Subtrop Ecogeog Proc, Minist Educ, Fuzhou 350007, Peoples R China
4.Univ Toronto, Dept Geog & Planning, Toronto, ON M5S 3G3, Canada
推荐引用方式
GB/T 7714		 Yang, Rongjuan,Liu, Ronggao,Liu, Yang,et al. Light Use Efficiency Model Based on Chlorophyll Content Better Captures Seasonal Gross Primary Production Dynamics of Deciduous Broadleaf Forests[J]. CHINESE GEOGRAPHICAL SCIENCE,2024,N/A.
APA Yang, Rongjuan,Liu, Ronggao,Liu, Yang,Chen, Jingming,Xu, Mingzhu,&He, Jiaying.(2024).Light Use Efficiency Model Based on Chlorophyll Content Better Captures Seasonal Gross Primary Production Dynamics of Deciduous Broadleaf Forests.CHINESE GEOGRAPHICAL SCIENCE,N/A.
MLA Yang, Rongjuan,et al."Light Use Efficiency Model Based on Chlorophyll Content Better Captures Seasonal Gross Primary Production Dynamics of Deciduous Broadleaf Forests".CHINESE GEOGRAPHICAL SCIENCE N/A(2024).

入库方式： OAI收割

来源：地理科学与资源研究所

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