气候变化领域集成服务门户(CCPortal): Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models

CCPortal

DOI	10.3390/land10030329
	Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models
	Zhang, Jun; Wang, Xufeng; Ren, Jun
通讯作者	Wang, XF (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China.
发表日期	2021
EISSN	2073-445X
卷号	10 期号:3
英文摘要	Gross primary productivity (GPP) is the most basic variable in a carbon cycle study that determines the carbon that enters the ecosystem. The remote sensing-based light use efficiency (LUE) model is one of the primary tools that is currently used to estimate the GPP at the regional scale. Many remote sensing-based GPP models have been developed in the last several decades, and these models have been well evaluated at some sites. However, an accurate estimation of the GPP remains challenging work using LUE models because of uncertainties in the model caused by model parameters, model forcing, and vegetation spatial heterogeneity. In this study, five widely used LUE models, Glo-PEM, VPM, EC-LUE, the MODIS GPP algorithm, and C-fix, were selected to simulate the GPP of the Heihe River Basin forced using in situ measurements. A multiple-model averaging method, Bayesian model averaging (BMA), was used to combine the five models to obtain a more reliable GPP estimation. The BMA was trained using carbon flux data from five eddy covariance towers located at dominant vegetation types in the study area. Generally, the BMA method performed better than any single LUE model. From the case study in the study area, it is indicated that the trained BMA is an efficient method to combine multiple LUE models and can improve the GPP simulation accuracy.
英文关键词	carbon flux; remote sensing; bayesian model averaging
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:000633853100001
来源期刊	LAND
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/253828
作者单位	[Zhang, Jun; Ren, Jun] Lanzhou Jiaotong Univ, Sch Environm & Municipal Engn, Lanzhou 730000, Peoples R China; [Zhang, Jun] Gansu Acad Ecoenvironm Sci, Lanzhou 730000, Peoples R China; [Wang, Xufeng] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jun,Wang, Xufeng,Ren, Jun. Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models[J]. 中国科学院西北生态环境资源研究院,2021,10(3).
APA	Zhang, Jun,Wang, Xufeng,&Ren, Jun.(2021).Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models.LAND,10(3).
MLA	Zhang, Jun,et al."Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models".LAND 10.3(2021).