Environmental controls on the light use efficiency of terrestrial gross primary production.
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| Title: | Environmental controls on the light use efficiency of terrestrial gross primary production. |
|---|---|
| Authors: | Bloomfield, Keith J.1 k.bloomfield@imperial.ac.uk, Stocker, Benjamin D.2,3,4,5, Keenan, Trevor F.6,7, Prentice, I. Colin1,8,9 |
| Source: | Global Change Biology. Feb2023, Vol. 29 Issue 4, p1037-1053. 17p. |
| Subjects: | Vapor pressure, Soil moisture, Solar radiation, Goodness-of-fit tests, Carbon dioxide, Carbon cycle |
| Abstract: | Gross primary production (GPP) by terrestrial ecosystems is a key quantity in the global carbon cycle. The instantaneous controls of leaf-level photosynthesis are well established, but there is still no consensus on the mechanisms by which canopy-level GPP depends on spatial and temporal variation in the environment. The standard model of photosynthesis provides a robust mechanistic representation for C3 species; however, additional assumptions are required to “scale up” from leaf to canopy. As a consequence, competing models make inconsistent predictions about how GPP will respond to continuing environmental change. This problem is addressed here by means of an empirical analysis of the light use efficiency (LUE) of GPP inferred from eddy covariance carbon dioxide flux measurements, in situ measurements of photosynthetically active radiation (PAR), and remotely sensed estimates of the fraction of PAR (fAPAR) absorbed by the vegetation canopy. Focusing on LUE allows potential drivers of GPP to be separated from its overriding dependence on light. GPP data from over 100 sites, collated over 20 years and located in a range of biomes and climate zones, were extracted from the FLUXNET2015 database and combined with remotely sensed fAPAR data to estimate daily LUE. Daytime air temperature, vapor pressure deficit, diffuse fraction of solar radiation, and soil moisture were shown to be salient predictors of LUE in a generalized linear mixed-effects model. The same model design was fitted to site-based LUE estimates generated by 16 terrestrial ecosystem models. The published models showed wide variation in the shape, the strength, and even the sign of the environmental effects on modeled LUE. These findings highlight important model deficiencies and suggest a need to progress beyond simple “goodness of fit” comparisons of inferred and predicted carbon fluxes toward an approach focused on the functional responses of the underlying dependencies. [ABSTRACT FROM AUTHOR] |
| Copyright of Global Change Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 161944101 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Environmental controls on the light use efficiency of terrestrial gross primary production. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bloomfield%2C+Keith+J%2E%22">Bloomfield, Keith J.</searchLink><relatesTo>1</relatesTo><i> k.bloomfield@imperial.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Stocker%2C+Benjamin+D%2E%22">Stocker, Benjamin D.</searchLink><relatesTo>2,3,4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Keenan%2C+Trevor+F%2E%22">Keenan, Trevor F.</searchLink><relatesTo>6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Prentice%2C+I%2E+Colin%22">Prentice, I. Colin</searchLink><relatesTo>1,8,9</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Global+Change+Biology%22">Global Change Biology</searchLink>. Feb2023, Vol. 29 Issue 4, p1037-1053. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vapor+pressure%22">Vapor pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+radiation%22">Solar radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Goodness-of-fit+tests%22">Goodness-of-fit tests</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+dioxide%22">Carbon dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+cycle%22">Carbon cycle</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Gross primary production (GPP) by terrestrial ecosystems is a key quantity in the global carbon cycle. The instantaneous controls of leaf-level photosynthesis are well established, but there is still no consensus on the mechanisms by which canopy-level GPP depends on spatial and temporal variation in the environment. The standard model of photosynthesis provides a robust mechanistic representation for C3 species; however, additional assumptions are required to “scale up” from leaf to canopy. As a consequence, competing models make inconsistent predictions about how GPP will respond to continuing environmental change. This problem is addressed here by means of an empirical analysis of the light use efficiency (LUE) of GPP inferred from eddy covariance carbon dioxide flux measurements, in situ measurements of photosynthetically active radiation (PAR), and remotely sensed estimates of the fraction of PAR (fAPAR) absorbed by the vegetation canopy. Focusing on LUE allows potential drivers of GPP to be separated from its overriding dependence on light. GPP data from over 100 sites, collated over 20 years and located in a range of biomes and climate zones, were extracted from the FLUXNET2015 database and combined with remotely sensed fAPAR data to estimate daily LUE. Daytime air temperature, vapor pressure deficit, diffuse fraction of solar radiation, and soil moisture were shown to be salient predictors of LUE in a generalized linear mixed-effects model. The same model design was fitted to site-based LUE estimates generated by 16 terrestrial ecosystem models. The published models showed wide variation in the shape, the strength, and even the sign of the environmental effects on modeled LUE. These findings highlight important model deficiencies and suggest a need to progress beyond simple “goodness of fit” comparisons of inferred and predicted carbon fluxes toward an approach focused on the functional responses of the underlying dependencies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Global Change Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/gcb.16511 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1037 Subjects: – SubjectFull: Vapor pressure Type: general – SubjectFull: Soil moisture Type: general – SubjectFull: Solar radiation Type: general – SubjectFull: Goodness-of-fit tests Type: general – SubjectFull: Carbon dioxide Type: general – SubjectFull: Carbon cycle Type: general Titles: – TitleFull: Environmental controls on the light use efficiency of terrestrial gross primary production. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bloomfield, Keith J. – PersonEntity: Name: NameFull: Stocker, Benjamin D. – PersonEntity: Name: NameFull: Keenan, Trevor F. – PersonEntity: Name: NameFull: Prentice, I. Colin IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13541013 Numbering: – Type: volume Value: 29 – Type: issue Value: 4 Titles: – TitleFull: Global Change Biology Type: main |
| ResultId | 1 |
