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Xu E, Zhou L, Ding J, Zhao N, Zeng L, Zhang G, Chi Y. Physiological dynamics dominate the relationship between solar-induced chlorophyll fluorescence and gross primary productivity along the nitrogen gradient in cropland. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172725. [PMID: 38663610 DOI: 10.1016/j.scitotenv.2024.172725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/21/2024] [Accepted: 04/22/2024] [Indexed: 04/30/2024]
Abstract
Solar-induced chlorophyll fluorescence (SIF) has been found to be robustly correlated with gross primary productivity (GPP) based on satellite datasets. However, it is unclear whether nitrogen affects the relationship between SIF and GPP at the canopy scale. Here, seasonal dynamics of SIF, GPP, vegetation physiology and canopy structure were measured synchronously throughout growing season along the nitrogen gradient in a rice paddy of China's subtropical region. Our results found that the slope of SIF against GPP was not constant, showing an increasing trend from low to high nitrogen levels. The sensitivity of SIF to nitrogen was larger than that of GPP. Nitrogen enrichment versus deficiency had asymmetrical effects on the SIF-GPP relationship. The steeper slope of SIF against GPP under high nitrogen level was mainly attributed to the promotion of canopy fluorescence efficiency (ΦF) rather than the variation of canopy fluorescence escape probability (Fesc). These results emphasize the vital role of nitrogen in exploring mechanisms underlying SIF dynamics and decoding GPP from SIF.
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Affiliation(s)
- Enxiang Xu
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Lei Zhou
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Jianxi Ding
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Ning Zhao
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Linhui Zeng
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Guoping Zhang
- Jinhua Shangshan Cultural Heritage Management Center, Jinhua 322200, China
| | - Yonggang Chi
- College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
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Zhong D, Chi Y, Ding J, Zhao N, Zeng L, Liu P, Huang Z, Zhou L. Decoupling of nitrogen allocation and energy partitioning in rice after flowering. Ecol Evol 2024; 14:e11297. [PMID: 38623520 PMCID: PMC11017445 DOI: 10.1002/ece3.11297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 03/28/2024] [Accepted: 04/04/2024] [Indexed: 04/17/2024] Open
Abstract
Estimation of energy partitioning at leaf scale, such as fluorescence yield (ΦF) and photochemical yield (ΦP), is crucial to tracking vegetation gross primary productivity (GPP) at global scale. Nitrogen is an important participant in the process of light capture, electron transfer, and carboxylation in vegetation photosynthesis. However, the quantitative relationship between leaf nitrogen allocation and leaf energy partitioning remains unexplored. Here, a field experiment was established to explore growth stage variations in energy partitioning and nitrogen allocation at leaf scale using active fluorescence detection and photosynthetic gas exchange method in rice in the subtropical region of China. We observed a strongly positive correlation between the investment proportion of leaf nitrogen in photosynthetic system and ΦF during the vegetative growth stage. There were significant differences in leaf energy partitioning, leaf nitrogen allocation, and the relationship between ΦF and ΦP before and after flowering. Furthermore, flowering weakened the correlation between the investment proportion of leaf nitrogen in photosynthetic system and ΦF. These findings highlight the crucial role of phenological factors in exploring seasonal photosynthetic dynamics and carbon fixation of ecosystems.
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Affiliation(s)
- Duwei Zhong
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Yonggang Chi
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
| | - Jianxi Ding
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Ning Zhao
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Linhui Zeng
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Pai Liu
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Zhi Huang
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
| | - Lei Zhou
- College of Geography and Environmental SciencesZhejiang Normal UniversityJinhuaChina
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
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Ding H, Wang Z, Zhang Y, Li J, Jia L, Chen Q, Ding Y, Wang S. A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0047. [PMID: 37228514 PMCID: PMC10204737 DOI: 10.34133/plantphenomics.0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 04/12/2023] [Indexed: 05/27/2023]
Abstract
Enhancing the photosynthetic rate is one of the effective ways to increase rice yield, given that photosynthesis is the basis of crop productivity. At the leaf level, crops' photosynthetic rate is mainly determined by photosynthetic functional traits including the maximum carboxylation rate (Vcmax) and stomatal conductance (gs). Accurate quantification of these functional traits is important to simulate and predict the growth status of rice. In recent studies, the emerging sun-induced chlorophyll fluorescence (SIF) provides us an unprecedented opportunity to estimate crops' photosynthetic traits, owing to its direct and mechanistic links to photosynthesis. Therefore, in this study, we proposed a practical semimechanistic model to estimate the seasonal Vcmax and gs time-series based on SIF. We firstly generated the coupling relationship between the open ratio of photosystem II (qL) and photosynthetically active radiation (PAR), then estimate the electron transport rate (ETR) based on the proposed mechanistic relationship between SIF and ETR. Finally, Vcmax and gs were estimated by linking to ETR based on the principle of evolutionary optimality and the photosynthetic pathway. Validation with field observations showed that our proposed model can estimate Vcmax and gs with high accuracy (R2 > 0.8). Compared to simple linear regression model, the proposed model could increase the accuracy of Vcmax estimates by >40%. Therefore, the proposed method effectively enhanced the estimation accuracy of crops' functional traits, which sheds new light on developing high-throughput monitoring techniques to estimate plant functional traits, and also can improve our understating of crops' physiological response to climate change.
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Affiliation(s)
- Hao Ding
- Jiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China,
Nanjing Agricultural University, Nanjing, China
| | - Zihao Wang
- Jiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China,
Nanjing Agricultural University, Nanjing, China
| | - Yongguang Zhang
- International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,
Nanjing University, Nanjing, China
| | - Ji Li
- International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,
Nanjing University, Nanjing, China
| | - Li Jia
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100101, China
| | - Qiting Chen
- State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100101, China
| | - Yanfeng Ding
- Jiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China,
Nanjing Agricultural University, Nanjing, China
| | - Songhan Wang
- Jiangsu Collaborative Innovation Center for Modern Crop Production/Key Laboratory of Crop Physiology and Ecology in Southern China,
Nanjing Agricultural University, Nanjing, China
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Chen R, Liu X, Chen J, Du S, Liu L. Solar-induced chlorophyll fluorescence imperfectly tracks the temperature response of photosynthesis in winter wheat. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7596-7610. [PMID: 36173362 DOI: 10.1093/jxb/erac388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Solar-induced fluorescence (SIF) is a promising proxy for photosynthesis, but it is unclear whether it performs well in tracking the gross primary productivity (GPP) under different environmental conditions. In this study, we investigated the dynamics of the two parameters from October 2020 to June 2021 in field-grown winter wheat (Triticum aestivum) and found that the ability of SIF to track GPP was weakened at low temperatures. Accounting for the coupling of light and temperature at a seasonal scale, we found that SIF yield showed a lower temperature sensitivity and had a lower but broader optimal temperature range compared with light-use efficiency (LUE), although both SIF yield and LUE decreased in low-temperature conditions. The discrepancy between the temperature responses of SIF yield and GPP caused an increase in the ratio of SIF/GPP in winter, which indicated the variation in the relationship between them during this period. The results of our study highlight the impact of low temperature on the relationship between SIF and GPP and show the necessity of reconsidering the dynamics of energy distribution inside plants under changing environments.
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Affiliation(s)
- Ruonan Chen
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xinjie Liu
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
| | - Jidai Chen
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shanshan Du
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
| | - Liangyun Liu
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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Yang S, Yang J, Shi S, Song S, Zhang Y, Luo Y, Du L. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.110079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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The Links between Canopy Solar-Induced Chlorophyll Fluorescence and Gross Primary Production Responses to Meteorological Factors in the Growing Season in Deciduous Broadleaf Forest. REMOTE SENSING 2021. [DOI: 10.3390/rs13122363] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Solar-induced chlorophyll fluorescence (SIF) is a hopeful indicator, which along with remote sensing, is used to measure the photosynthetic efficiency and gross primary production (GPP) of vegetation in regional terrestrial ecosystems. Studies have found a significant linear correlation between SIF and GPP in a variety of ecosystems. However, this relationship has mainly been established using SIF and GPP data derived from satellite remote sensing and continuous ground-based observations, respectively, which are difficult to accurately match. To overcome this, some studies have begun to use tower-based automatic observation instruments to study the changes of near-surface SIF and GPP. This study conducts continuous simultaneous observation of SIF, carbon flux, and meteorological factors on the forest canopy of a cork oak plantation during the growing season to explore how meteorological factors impact on canopy SIF and its relationship with GPP. This research found that the canopy SIF has obvious diurnal and day-to-day variations during the growing season but overall is relatively stable. Furthermore, SIF is greatly affected by incident radiation in different weather conditions and can change daily. Meteorological factors have a major role in the relationship between SIF and GPP; overall, the relationship shows a significant linear regression on the 30 min scale, but weakens when aggregating to the diurnal scale. Photosynthetically active radiation (PAR) drives SIF on a daily basis and changes the relationship between SIF and GPP on a seasonal timescale. As PAR increases, the daily slopes of the linear regressions between SIF and GPP decrease. On the 30 min timescale, both SIF and GPP increase with PAR until it reaches 1250 μmol·m−2·s−1; subsequently, SIF continues to increase while GPP decreases and they show opposite trends. Soil moisture and vapor pressure deficit influence SIF and GPP, respectively. Our findings demonstrate that meteorological factors affect the relationship between SIF and GPP, thereby enhancing the understanding of the mechanistic link between chlorophyll fluorescence and photosynthesis.
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