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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 |
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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. |
doi_str_mv | 10.1088/1748-9326/ac444d |
format | article |
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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). Published by IOP Publishing Ltd</rights><rights>2022 The Author(s). Published by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-b5207a835ce99eae20a8a817a3556480f872dde78797e03ec01b5003372d87023</citedby><cites>FETCH-LOGICAL-c416t-b5207a835ce99eae20a8a817a3556480f872dde78797e03ec01b5003372d87023</cites><orcidid>0000-0001-5919-0097</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2618600449?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Lu, Xuehe</creatorcontrib><creatorcontrib>Croft, Holly</creatorcontrib><creatorcontrib>Chen, Jing M</creatorcontrib><creatorcontrib>Luo, Yiqi</creatorcontrib><creatorcontrib>Ju, Weimin</creatorcontrib><title>Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change</title><title>Environmental research letters</title><addtitle>ERL</addtitle><addtitle>Environ. 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 ; Croft, Holly ; Chen, Jing M ; Luo, Yiqi ; Ju, Weimin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-b5207a835ce99eae20a8a817a3556480f872dde78797e03ec01b5003372d87023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbon cycle</topic><topic>carbon cycles</topic><topic>Carbon dioxide</topic><topic>Carboxylation</topic><topic>Chlorophyll</topic><topic>Coupling</topic><topic>Earth system model</topic><topic>Empirical analysis</topic><topic>Environmental changes</topic><topic>Environmental conditions</topic><topic>Estimation</topic><topic>leaf chlorophyll content</topic><topic>Light intensity</topic><topic>Luminous intensity</topic><topic>Oxygenase</topic><topic>Parameterization</topic><topic>Photosynthesis</topic><topic>photosynthetic capacity</topic><topic>Remote sensing</topic><topic>Ribulose-bisphosphate carboxylase</topic><topic>Rubisco</topic><topic>Vcmax</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Xuehe</creatorcontrib><creatorcontrib>Croft, Holly</creatorcontrib><creatorcontrib>Chen, Jing M</creatorcontrib><creatorcontrib>Luo, Yiqi</creatorcontrib><creatorcontrib>Ju, Weimin</creatorcontrib><collection>IOP Publishing</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Xuehe</au><au>Croft, Holly</au><au>Chen, Jing M</au><au>Luo, Yiqi</au><au>Ju, Weimin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><addtitle>Environ. 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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