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https://hdl.handle.net/1959.11/58863
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DC Field | Value | Language |
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dc.contributor.author | Wang, Han | en |
dc.contributor.author | Prentice, I Colin | en |
dc.contributor.author | Keenan, Trevor F | en |
dc.contributor.author | Davis, Tyler W | en |
dc.contributor.author | Wright, Ian J | en |
dc.contributor.author | Cornwell, William K | en |
dc.contributor.author | Evans, Bradley J | en |
dc.contributor.author | Peng, Changhui | en |
dc.date.accessioned | 2024-05-01T23:47:16Z | - |
dc.date.available | 2024-05-01T23:47:16Z | - |
dc.date.issued | 2017-09-04 | - |
dc.identifier.citation | Nature Plants, 3(9), p. 734-741 | en |
dc.identifier.issn | 2055-0278 | en |
dc.identifier.issn | 2055-026X | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/58863 | - |
dc.description.abstract | <p>Gross primary production (GPP)—the uptake of carbon dioxide (CO<sub>2</sub>) by leaves, and its conversion to sugars by photosynthesis—is the basis for life on land. Earth System Models (ESMs) incorporating the interactions of land ecosystems and climate are used to predict the future of the terrestrial sink for anthropogenic CO<sub>2</sub> 1 . ESMs require accurate representation of GPP. However, current ESMs disagree on how GPP responds to environmental variations1,2, suggesting a need for a more robust theoretical framework for modelling3,4. Here, we focus on a key quantity for GPP, the ratio of leaf internal to external CO<sub>2</sub> (<i>χ</i>). <i>χ</i> is tightly regulated and depends on environmental conditions, but is represented empirically and incompletely in today’s models. We show that a simple evolutionary optimality hypothesis5,6 predicts specific quantitative dependencies of <i>χ</i> on temperature, vapour pressure deficit and elevation; and that these same dependencies emerge from an independent analysis of empirical <i>χ</i> values, derived from a worldwide dataset of >3,500 leaf stable carbon isotope measurements. A single global equation embodying these relationships then unifies the empirical light-use efficiency model7 with the standard model of C<sub>3</sub> photosynthesis8, and successfully predicts GPP measured at eddy-covariance flux sites. This success is notable given the equation’s simplicity and broad applicability across biomes and plant functional types. It provides a theoretical underpinning for the analysis of plant functional coordination across species and emergent properties of ecosystems, and a potential basis for the reformulation of the controls of GPP in next-generation ESMs.</p> | en |
dc.language | en | en |
dc.publisher | Nature Publishing Group | en |
dc.relation.ispartof | Nature Plants | en |
dc.title | Towards a universal model for carbon dioxide uptake by plants | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1038/s41477-017-0006-8 | en |
local.contributor.firstname | Han | en |
local.contributor.firstname | I Colin | en |
local.contributor.firstname | Trevor F | en |
local.contributor.firstname | Tyler W | en |
local.contributor.firstname | Ian J | en |
local.contributor.firstname | William K | en |
local.contributor.firstname | Bradley J | en |
local.contributor.firstname | Changhui | en |
local.relation.isfundedby | ARC | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | bevans31@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | United Kingdom | en |
local.format.startpage | 734 | en |
local.format.endpage | 741 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 3 | en |
local.identifier.issue | 9 | en |
local.contributor.lastname | Wang | en |
local.contributor.lastname | Prentice | en |
local.contributor.lastname | Keenan | en |
local.contributor.lastname | Davis | en |
local.contributor.lastname | Wright | en |
local.contributor.lastname | Cornwell | en |
local.contributor.lastname | Evans | en |
local.contributor.lastname | Peng | en |
dc.identifier.staff | une-id:bevans31 | en |
local.profile.orcid | 0000-0001-6675-3118 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/58863 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Towards a universal model for carbon dioxide uptake by plants | en |
local.relation.fundingsourcenote | A National Basic Research Programme of China (2013CB956602) grant, the National Natural Science Foundation of China (Grant no. 31600388), , an Australian National Data Service (ANDS) grant (‘Ecosystem production in space and time’), Terrestrial Ecosystem Research Council (TERN) grants (‘Ecosystem Modelling and Scaling Infrastructure’), the Laboratory Directed Research and Development fund under the auspices of DOE, BER Office of Science at Lawrence Berkeley National Laboratory and a Macquarie University Research Fellowship. | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Wang, Han | en |
local.search.author | Prentice, I Colin | en |
local.search.author | Keenan, Trevor F | en |
local.search.author | Davis, Tyler W | en |
local.search.author | Wright, Ian J | en |
local.search.author | Cornwell, William K | en |
local.search.author | Evans, Bradley J | en |
local.search.author | Peng, Changhui | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/9f00a7d4-128f-4588-8d1e-849149c8c5f3 | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2017 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/9f00a7d4-128f-4588-8d1e-849149c8c5f3 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/9f00a7d4-128f-4588-8d1e-849149c8c5f3 | en |
local.subject.for2020 | 4104 Environmental management | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-05-02 | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science |
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