气候变化领域集成服务门户(CCPortal): Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices

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DOI	10.1029/2020GL089167
	Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices
	Yin G.; Verger A.; Filella I.; Descals A.; Peñuelas J.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:18
英文摘要	The accurate estimation of photosynthetic phenology using vegetation indices (VIs) is important for measuring the interannual variation of atmospheric CO2 concentrations, but the relative performances of structural and physiological VIs remain unclear. We found that structural VIs (normalized difference VI, enhanced VI, and near-infrared reflectance of vegetation) were suitable for estimating the start of the photosynthetically active season in deciduous broadleaf forests using gross primary production measured by FLUXNET as a benchmark, and a physiological VI (chlorophyll/carotenoid index) was better at identifying the end of the photosynthetically active season for deciduous broadleaf forests and both the start and end of season for evergreen needleleaf forests. The divergent performances were rooted in the combined control of structural and physiological regulations of carbon uptake by plants. Most existing studies of photosynthetic phenology have been based on structural VIs, so we suggest revisiting the dynamics of photosynthetic phenology using physiological VIs, which has significant implications on global plant phenology and carbon uptake studies. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Carbon; Infrared devices; Physiology; Vegetation; Accurate estimation; Broadleaf forest; CO2 concentration; Gross primary production; Interannual variation; Near infra-red reflectances; Normalized differences; Relative performance; Forestry; annual variation; benchmarking; broad-leaved forest; concentration (composition); deciduous forest; estimation method; forest; phenology; photosynthesis; primary production; spectral reflectance; vegetation structure
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169724
作者单位	Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China; CREAF, Cerdanyola del Vallès, Spain; Global Ecology Unit, CSIC, Cerdanyola del Vallès, Spain
推荐引用方式 GB/T 7714	Yin G.,Verger A.,Filella I.,et al. Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices[J],2020,47(18).
APA	Yin G.,Verger A.,Filella I.,Descals A.,&Peñuelas J..(2020).Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices.Geophysical Research Letters,47(18).
MLA	Yin G.,et al."Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices".Geophysical Research Letters 47.18(2020).