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DOI | 10.1016/j.rse.2020.112273 |
Integration of electron flow partitioning improves estimation of photosynthetic rate under various environmental conditions based on chlorophyll fluorescence | |
Kitao M.; Yasuda Y.; Kodani E.; Harayama H.; Awaya Y.; Komatsu M.; Yazaki K.; Tobita H.; Agathokleous E. | |
发表日期 | 2021 |
ISSN | 00344257 |
卷号 | 254 |
英文摘要 | Electron transport rate (ETR), estimated from chlorophyll fluorescence, is a widely-used indicator of photosynthetic activity. However, net photosynthetic CO2 assimilation rate (A) does not linearly correlate with ETR when the fraction of electron partitioning into photosynthesis and photorespiration changes under fluctuating environmental conditions (CO2, light, temperature and soil moisture). Here, we propose a practical approach to estimate A based on ETR with integration of stomatal conductance (gs) and leaf temperature, taking intercellular CO2 concentration (Ci)- and temperature-dependent electron partitioning into account. A estimated with the present approach was in good agreement with A measured under i) various CO2 concentrations and light intensities in seedlings of Japanese beech and Japanese white birch, and ii) under 400 and 800 μmol mol−1 CO2 and temperatures of 15–40 °C, and iii) in progress of drought stress after a water withholding in seedlings of Japanese white birch. Furthermore, canopy-level CO2 uptake could be estimated based on the spectroscopic and flux observations over a Japanese beech stand, under a wide range of environmental conditions. The present approach is advantageous because it does not require biochemical information, such as the maximum rates of Rubisco carboxylation and electron transport, providing a more forward approach to estimate terrestrial carbon flux through remote sensing approaches. © 2020 The Author(s) |
英文关键词 | Drought; Electron transport; Leaf temperature; Photosynthetic gas exchange; Remote sensing; Stomatal closure |
语种 | 英语 |
scopus关键词 | Carboxylation; Chlorophyll; Electron transport properties; Fluorescence; Forestry; Remote sensing; Soil moisture; Biochemical information; Chlorophyll fluorescence; Electron transport rate; Environmental conditions; Photosynthetic activity; Remote sensing approaches; Stomatal conductance; Temperature dependent; Carbon dioxide; carbon dioxide; carbon flux; concentration (composition); deciduous tree; drought stress; environmental conditions; photosynthesis; remote sensing; stomatal conductance; Betula platyphylla var. japonica; Fagus crenata; Indicator indicator |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178985 |
作者单位 | Hokkaido Research Center, Forestry and Forest Products Research Institute, Sapporo, 062-8516, Japan; Department of Disaster Prevention, Meteorology and Hydrology, Forestry and Forest Products Research Institute, Tsukuba, 305-8687, Japan; Tohoku Research Center, Forestry and Forest Products Research Institute, Morioka, 020-0123, Japan; River Basin Research Center, Gifu University, Gifu, 501-1193, Japan; Department of Mushroom Science and Forest Microbiology, Forestry and Forest Products Research Institute, Tsukuba, 305-8687, Japan; Department of Plant Ecology, Forestry and Forest Products Research Institute, Tsukuba, 305-8687, Japan; Key Laboratory of Agrometeorology of Jiangsu Province, Institute of Ecology, School of Applied Meteorology, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China |
推荐引用方式 GB/T 7714 | Kitao M.,Yasuda Y.,Kodani E.,et al. Integration of electron flow partitioning improves estimation of photosynthetic rate under various environmental conditions based on chlorophyll fluorescence[J],2021,254. |
APA | Kitao M..,Yasuda Y..,Kodani E..,Harayama H..,Awaya Y..,...&Agathokleous E..(2021).Integration of electron flow partitioning improves estimation of photosynthetic rate under various environmental conditions based on chlorophyll fluorescence.Remote Sensing of Environment,254. |
MLA | Kitao M.,et al."Integration of electron flow partitioning improves estimation of photosynthetic rate under various environmental conditions based on chlorophyll fluorescence".Remote Sensing of Environment 254(2021). |
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