An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas

doi:10.1029/2019JD031702

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas
	Xie, Xinyao 1,2; Li, Ainong 1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2020-07-16
卷号	125 期号:13 页码:e2019JD031702
关键词	mountainous two-leaf light use efficiency model (MTL-LUE) topographic effects gross primary productivity (GPP) direct radiation diffuse radiation sunlit canopy area
ISSN号	2169-897X
DOI	10.1029/2019JD031702
产权排序	1
文献子类	Article
英文摘要	Recently, light use efficiency (LUE) models have been widely used for calculating gross primary productivity (GPP). Unfortunately, these models are only suitable for flat areas without considering the topographic effects on plant photosynthesis. In this study, considering the topographic controls on direct radiation, diffuse radiation, and sunlit canopy area, an adjusted model called mountainous two-leaf (MTL)-LUE is developed from the original two-leaf LUE model (TL-LUE) to improve the GPP simulations in mountainous areas. The MTL-LUE model was validated at an eddy covariance (EC) site with apparent topography in the carbon footprint area. Results showed that the daily GPP simulations from MTL-LUE (root mean square error = 1.29 gC m(-2) d(-1)) matched better with EC GPP than those from the TL-LUE model (root mean square error = 1.84 gC m(-2) d(-1)), confirming the improvement of the MTL-LUE model in mountainous areas. Moreover, results also indicated that the MTL-LUE-simulated GPP showed obvious spatial variations in the study area, suggesting that the MTL-LUE model could characterize the effects of topography on plant photosynthesis. More specifically, canopy GPP was found to decrease when slope increased in shaded terrains and has no obvious variations in different slope ranges when exposed to the sun. Furthermore, results also indicated that a moderate increase in canopy GPP would be expected when the sky clearness decreased, which depended on the gap between the GPP increase of shaded leaves and the GPP decrease of sunlit leaves. This study highlights the potential of the MTL-LUE model in improving GPP simulations in mountainous areas.
电子版国际标准刊号	2169-8996
资助项目	National Natural Science Foundation of China[41631180] ; National Natural Science Foundation of China[41571373] ; National Key Research and Development Program of China[2016YFA0600103] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19030303] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS[SDS-135-1708]
WOS关键词	GROSS PRIMARY PRODUCTION ; EDDY COVARIANCE TECHNIQUE ; NET ECOSYSTEM EXCHANGE ; PRIMARY PRODUCTIVITY ; SOLAR-RADIATION ; CARBON-DIOXIDE ; SURFACE RADIATION ; ENERGY-BALANCE ; MODIS DATA ; TOPOGRAPHY
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000551484700009
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/35284]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Li, Ainong
作者单位	1.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xie, Xinyao,Li, Ainong. An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(13):e2019JD031702.
APA	Xie, Xinyao,&Li, Ainong.(2020).An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(13),e2019JD031702.
MLA	Xie, Xinyao,et al."An Adjusted Two-Leaf Light Use Efficiency Model for Improving GPP Simulations Over Mountainous Areas".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.13(2020):e2019JD031702.