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Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change

The maximum rate of carboxylation (Vcmax), a key parameter indicating photosynthetic capacity, is commonly fixed as a constant by vegetation types and/or varies according to empirical scaling functions in Earth system models (ESMs). As such, the setting of Vcmax results in uncertainties of estimated...

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Published in:Environmental research letters 2022-01, Vol.17 (1), p.14028
Main Authors: Lu, Xuehe, Croft, Holly, Chen, Jing M, Luo, Yiqi, Ju, Weimin
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description The maximum rate of carboxylation (Vcmax), a key parameter indicating photosynthetic capacity, is commonly fixed as a constant by vegetation types and/or varies according to empirical scaling functions in Earth system models (ESMs). As such, the setting of Vcmax results in uncertainties of estimated carbon assimilation. It is known that the coupling between leaf chlorophyll and Rubisco (ribulose-1,5-biphosphate carboxylase-oxygenase) contents can be applied to estimate Vcmax. However, how this coupling is affected by environmental changes and varies among plant functional types (PFTs) has not been well investigated yet. The effect of varying coupling between chlorophyll and Rubisco contents on the estimation of Vcmax is still not clear. In this study, we compiled data from 76 previous studies to investigate the coupling between Chlorophyll (Chl) and Rubisco (Rub), in different PFTs and under different environmental conditions. We also assessed the ability of a Rub-based semi-mechanistic model to estimate Vcmax normalized to 25 °C (Vcmax 25 ) based on the Rub–Chl relationship. Our results revealed strong, linear Rub-Chl relationships for different PFTs ( R 2 = 0.73, 0.67, 0.54 and 0.72 for forest, crop, grass and shrub, and C4 plants, respectively). The Rub–Chl slope of natural C3 PFTs was consistent and significantly different from those of crops and C4 plants. A meta-analysis indicated that reduced light intensity, elevated CO 2 , and nitrogen addition strongly altered Rub/Chl. A semi-mechanistic model based on PFT-specific Rub–Chl relationships was able to estimate Vcmax 25 with high confidence. Our findings have important implications for improving global carbon cycle modeling by ESMs through the improved parameterization of Vcmax 25 using remotely sensed Chl content.
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As such, the setting of Vcmax results in uncertainties of estimated carbon assimilation. It is known that the coupling between leaf chlorophyll and Rubisco (ribulose-1,5-biphosphate carboxylase-oxygenase) contents can be applied to estimate Vcmax. However, how this coupling is affected by environmental changes and varies among plant functional types (PFTs) has not been well investigated yet. The effect of varying coupling between chlorophyll and Rubisco contents on the estimation of Vcmax is still not clear. In this study, we compiled data from 76 previous studies to investigate the coupling between Chlorophyll (Chl) and Rubisco (Rub), in different PFTs and under different environmental conditions. We also assessed the ability of a Rub-based semi-mechanistic model to estimate Vcmax normalized to 25 °C (Vcmax 25 ) based on the Rub–Chl relationship. Our results revealed strong, linear Rub-Chl relationships for different PFTs ( R 2 = 0.73, 0.67, 0.54 and 0.72 for forest, crop, grass and shrub, and C4 plants, respectively). The Rub–Chl slope of natural C3 PFTs was consistent and significantly different from those of crops and C4 plants. A meta-analysis indicated that reduced light intensity, elevated CO 2 , and nitrogen addition strongly altered Rub/Chl. A semi-mechanistic model based on PFT-specific Rub–Chl relationships was able to estimate Vcmax 25 with high confidence. Our findings have important implications for improving global carbon cycle modeling by ESMs through the improved parameterization of Vcmax 25 using remotely sensed Chl content.</description><identifier>ISSN: 1748-9326</identifier><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/ac444d</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Carbon cycle ; carbon cycles ; Carbon dioxide ; Carboxylation ; Chlorophyll ; Coupling ; Earth system model ; Empirical analysis ; Environmental changes ; Environmental conditions ; Estimation ; leaf chlorophyll content ; Light intensity ; Luminous intensity ; Oxygenase ; Parameterization ; Photosynthesis ; photosynthetic capacity ; Remote sensing ; Ribulose-bisphosphate carboxylase ; Rubisco ; Vcmax ; Vegetation</subject><ispartof>Environmental research letters, 2022-01, Vol.17 (1), p.14028</ispartof><rights>2022 The Author(s). 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Res. Lett</addtitle><description>The maximum rate of carboxylation (Vcmax), a key parameter indicating photosynthetic capacity, is commonly fixed as a constant by vegetation types and/or varies according to empirical scaling functions in Earth system models (ESMs). As such, the setting of Vcmax results in uncertainties of estimated carbon assimilation. It is known that the coupling between leaf chlorophyll and Rubisco (ribulose-1,5-biphosphate carboxylase-oxygenase) contents can be applied to estimate Vcmax. However, how this coupling is affected by environmental changes and varies among plant functional types (PFTs) has not been well investigated yet. The effect of varying coupling between chlorophyll and Rubisco contents on the estimation of Vcmax is still not clear. In this study, we compiled data from 76 previous studies to investigate the coupling between Chlorophyll (Chl) and Rubisco (Rub), in different PFTs and under different environmental conditions. We also assessed the ability of a Rub-based semi-mechanistic model to estimate Vcmax normalized to 25 °C (Vcmax 25 ) based on the Rub–Chl relationship. Our results revealed strong, linear Rub-Chl relationships for different PFTs ( R 2 = 0.73, 0.67, 0.54 and 0.72 for forest, crop, grass and shrub, and C4 plants, respectively). The Rub–Chl slope of natural C3 PFTs was consistent and significantly different from those of crops and C4 plants. A meta-analysis indicated that reduced light intensity, elevated CO 2 , and nitrogen addition strongly altered Rub/Chl. A semi-mechanistic model based on PFT-specific Rub–Chl relationships was able to estimate Vcmax 25 with high confidence. Our findings have important implications for improving global carbon cycle modeling by ESMs through the improved parameterization of Vcmax 25 using remotely sensed Chl content.</description><subject>Carbon cycle</subject><subject>carbon cycles</subject><subject>Carbon dioxide</subject><subject>Carboxylation</subject><subject>Chlorophyll</subject><subject>Coupling</subject><subject>Earth system model</subject><subject>Empirical analysis</subject><subject>Environmental changes</subject><subject>Environmental conditions</subject><subject>Estimation</subject><subject>leaf chlorophyll content</subject><subject>Light intensity</subject><subject>Luminous intensity</subject><subject>Oxygenase</subject><subject>Parameterization</subject><subject>Photosynthesis</subject><subject>photosynthetic capacity</subject><subject>Remote sensing</subject><subject>Ribulose-bisphosphate carboxylase</subject><subject>Rubisco</subject><subject>Vcmax</subject><subject>Vegetation</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kcFq3DAURU1JoWnafZeCbjuJZMuWvAwhSQOBQmnXQpaebQ0eP1XSFJxVFvmD_mG_JJo4pN1kJXG470iPWxSfGD1lVMozJrjctFXZnGnDObdviuMXdPTf_V3xPsYtpTWvhTwuHi5jcjud3DwQP2LCuMxphOQMMdpr49JC-oA7gj7n3B1Y8n3fuWjw7_0fM04Y0I_LNJEAU7bgHEfnI9E7zMLfMEB6oiQtHjKeLdnPFgIZJuz0RMyo5wE-FG97PUX4-HyeFD-vLn9cfN3cfru-uTi_3RjOmrTp6pIKLavaQNuChpJqqSUTuqrrhkvaS1FaC0KKVgCtwFDW1ZRWVcZS0LI6KW5Wr0W9VT7kxcOiUDv1BDAMSoe8-gSqBGZt1zKoG8PbspMdGNH2HID10nQiuz6vLh_w1x5iUlvchzl_X5UNkw2lnLc5RdeUCRhjgP7lVUbVoTd1KEYdilFrb3nkyzri0P9zvhp_BAddnZs</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Lu, Xuehe</creator><creator>Croft, Holly</creator><creator>Chen, Jing M</creator><creator>Luo, Yiqi</creator><creator>Ju, Weimin</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5919-0097</orcidid></search><sort><creationdate>20220101</creationdate><title>Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change</title><author>Lu, Xuehe ; 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Res. Lett</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>17</volume><issue>1</issue><spage>14028</spage><pages>14028-</pages><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><abstract>The maximum rate of carboxylation (Vcmax), a key parameter indicating photosynthetic capacity, is commonly fixed as a constant by vegetation types and/or varies according to empirical scaling functions in Earth system models (ESMs). As such, the setting of Vcmax results in uncertainties of estimated carbon assimilation. It is known that the coupling between leaf chlorophyll and Rubisco (ribulose-1,5-biphosphate carboxylase-oxygenase) contents can be applied to estimate Vcmax. However, how this coupling is affected by environmental changes and varies among plant functional types (PFTs) has not been well investigated yet. The effect of varying coupling between chlorophyll and Rubisco contents on the estimation of Vcmax is still not clear. In this study, we compiled data from 76 previous studies to investigate the coupling between Chlorophyll (Chl) and Rubisco (Rub), in different PFTs and under different environmental conditions. We also assessed the ability of a Rub-based semi-mechanistic model to estimate Vcmax normalized to 25 °C (Vcmax 25 ) based on the Rub–Chl relationship. Our results revealed strong, linear Rub-Chl relationships for different PFTs ( R 2 = 0.73, 0.67, 0.54 and 0.72 for forest, crop, grass and shrub, and C4 plants, respectively). The Rub–Chl slope of natural C3 PFTs was consistent and significantly different from those of crops and C4 plants. A meta-analysis indicated that reduced light intensity, elevated CO 2 , and nitrogen addition strongly altered Rub/Chl. A semi-mechanistic model based on PFT-specific Rub–Chl relationships was able to estimate Vcmax 25 with high confidence. Our findings have important implications for improving global carbon cycle modeling by ESMs through the improved parameterization of Vcmax 25 using remotely sensed Chl content.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/ac444d</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-5919-0097</orcidid><oa>free_for_read</oa></addata></record>
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subjects Carbon cycle
carbon cycles
Carbon dioxide
Carboxylation
Chlorophyll
Coupling
Earth system model
Empirical analysis
Environmental changes
Environmental conditions
Estimation
leaf chlorophyll content
Light intensity
Luminous intensity
Oxygenase
Parameterization
Photosynthesis
photosynthetic capacity
Remote sensing
Ribulose-bisphosphate carboxylase
Rubisco
Vcmax
Vegetation
title Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change
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