Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis

doi:10.1016/j.agrformet.2020.107910

	Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis
	Liu, Ying 1,6; Wu, Chaoyang 1,6; Sonnentag, Oliver 4,5; Desai, Ankur R.3; Wang, Jian 2
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2020-05-15
卷号	285 页码:12
关键词	Phenology PhenoCam Gross primary productivity GCC RCC DBF ENF
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2020.107910
通讯作者	Wu, Chaoyang(wucy@igsnrr.ac.cn)
英文摘要	Vegetation phenology has received increasing attention in climate change research. Near-surface sensing using digital repeat photography has proven to be useful for ecosystem-scale monitoring of vegetation phenology. However, our understanding of the link between phenological metrics derived from digital repeat photography and the phenology of forest canopy photosynthesis is still incomplete, especially for evergreen plant species. Using 49 site-years of digital images from the PhenoCam Network from eight evergreen needleleaf forest (ENF) and six deciduous broadleaf forest (DBF) sites in North America, we explored the potential of the green chromatic (GCC) and red chromatic coordinates (RCC) in tracking forest canopy photosynthesis by comparing camera-derived start- and end-of-growing season (SOS and EOS, respectively) with corresponding estimates derived from eddy covariance-derived daily gross primary productivity (GPP). We found that for DBF sites, both GCC and RCC performed comparable in capturing SOS and EOS. However, similar to earlier studies, GCC had limited potential in capturing GPP-based SOS or EOS for ENF sites. In contrast, we found RCC was a better predictor of both GPP-based SOS and EOS for ENF sites. Environmental and ecological explanations were both provided that phenological transitions derived from RCC were highly correlated with spring and autumn meteorological conditions, as well as having overall higher correlations with phenology based on LAI, a critical variable for describing canopy development. Our results demonstrate that RCC is an underappreciated metric for tracking vegetation phenology, especially for ENF sites where GCC failed to provide reliable estimates for GPP-based SOS or EOS. Our results improve confidence in using digital repeat photography to characterize the phenology of canopy photosynthesis across forest types.
资助项目	National Key R&D program of China[2018YFA0606101] ; National Natural Science Foundation of China[41871255] ; key Research Program of Frontier Sciences, CAS[QYZDB-SSW-DQC011] ; Northeastern States Research Cooperative ; NSF's Macrosystems Biology program[EF-1065029] ; NSF's Macrosystems Biology program[EF-1702697] ; DOE's Regional and Global Climate Modeling program[DE-SC0016011] ; US National Park Service Inventory and Monitoring Program ; USA National Phenology Network (United States Geological Survey)[G10AP00129] ; USA National Phenology Network (United States Geological Survey)[G16AC00224] ; USA North Central Climate Science Center (United States Geological Survey)[G16AC00224] ; National Science Foundation's LTER program[DEB-1237491] ; DOE Ameriflux Network Management Program ; [NSF-1822420]
WOS关键词	DIGITAL REPEAT PHOTOGRAPHY ; LAND-SURFACE PHENOLOGY ; LEAF-AREA INDEX ; CARBON-DIOXIDE EXCHANGE ; TIME-SERIES DATA ; CLIMATE-CHANGE ; DECIDUOUS FOREST ; SPRING PHENOLOGY ; INTERANNUAL VARIABILITY ; GROWING-SEASON
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000525819500004
资助机构	National Key R&D program of China ; National Natural Science Foundation of China ; key Research Program of Frontier Sciences, CAS ; Northeastern States Research Cooperative ; NSF's Macrosystems Biology program ; DOE's Regional and Global Climate Modeling program ; US National Park Service Inventory and Monitoring Program ; USA National Phenology Network (United States Geological Survey) ; USA North Central Climate Science Center (United States Geological Survey) ; National Science Foundation's LTER program ; DOE Ameriflux Network Management Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133729]
专题	中国科学院地理科学与资源研究所
通讯作者	Wu, Chaoyang
作者单位	1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Ohio State Univ, Dept Geog, Columbus, OH 43210 USA 3.Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA 4.Univ Montreal, Ctr Etud Nord, Montreal, PQ H2V 2B8, Canada 5.Univ Montreal, Dept Geog, Montreal, PQ H2V 2B8, Canada 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ying,Wu, Chaoyang,Sonnentag, Oliver,et al. Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis[J]. AGRICULTURAL AND FOREST METEOROLOGY,2020,285:12.
APA	Liu, Ying,Wu, Chaoyang,Sonnentag, Oliver,Desai, Ankur R.,&Wang, Jian.(2020).Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis.AGRICULTURAL AND FOREST METEOROLOGY,285,12.
MLA	Liu, Ying,et al."Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis".AGRICULTURAL AND FOREST METEOROLOGY 285(2020):12.