Nocturnal plant respiration is under strong non-temperature control
dc.contributor.author | Bruhn, D | |
dc.contributor.author | Newman, F | |
dc.contributor.author | Hancock, M | |
dc.contributor.author | Povlsen, P | |
dc.contributor.author | Slot, M | |
dc.contributor.author | Sitch, S | |
dc.contributor.author | Drake, J | |
dc.contributor.author | Weedon, GP | |
dc.contributor.author | Clark, DB | |
dc.contributor.author | Pagter, M | |
dc.contributor.author | Ellis, RJ | |
dc.contributor.author | Tjoelker, MG | |
dc.contributor.author | Andersen, KM | |
dc.contributor.author | Correa, ZR | |
dc.contributor.author | McGuire, PC | |
dc.contributor.author | Mercado, LM | |
dc.date.accessioned | 2022-10-21T10:46:09Z | |
dc.date.issued | 2022-09-26 | |
dc.date.updated | 2022-10-21T09:23:53Z | |
dc.description.abstract | Most biological rates depend on the rate of respiration. Temperature variation is typically considered the main driver of daily plant respiration rates, assuming a constant daily respiration rate at a set temperature. Here, we show empirical data from 31 species from temperate and tropical biomes to demonstrate that the rate of plant respiration at a constant temperature decreases monotonically with time through the night, on average by 25% after 8 h of darkness. Temperature controls less than half of the total nocturnal variation in respiration. A new universal formulation is developed to model and understand nocturnal plant respiration, combining the nocturnal decrease in the rate of plant respiration at constant temperature with the decrease in plant respiration according to the temperature sensitivity. Application of the new formulation shows a global reduction of 4.5 -6 % in plant respiration and an increase of 7-10% in net primary production for the present-day. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | University of Exeter | en_GB |
dc.description.sponsorship | Met Office Hadley Centre Climate Programme | en_GB |
dc.format.extent | 5650- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 13, article 5650 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41467-022-33370-1 | |
dc.identifier.grantnumber | NE/R001928/1 | en_GB |
dc.identifier.grantnumber | NE/L007223/1 | en_GB |
dc.identifier.grantnumber | NE/N017951/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131361 | |
dc.identifier | ORCID: 0000-0003-1821-8561 (Sitch, Stephen) | |
dc.identifier | ScopusID: 6603113016 (Sitch, Stephen) | |
dc.identifier | ResearcherID: F-8034-2015 (Sitch, Stephen) | |
dc.identifier | ORCID: 0000-0003-4069-0838 (Mercado, Lina M) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36163192 | en_GB |
dc.relation.url | https://doi.org/10.5281/zenodo.7037530 | en_GB |
dc.relation.url | https://DATAGURU.lu.se | en_GB |
dc.relation.url | https://gml.noaa.gov/ccgg/trends/gl_data.html Source data | en_GB |
dc.relation.url | https://code.metoffice.gov.uk/trac/jules | en_GB |
dc.rights | © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ | en_GB |
dc.title | Nocturnal plant respiration is under strong non-temperature control | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-10-21T10:46:09Z | |
dc.identifier.issn | 2041-1723 | |
exeter.article-number | 5650 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: The leaf respiration data measured as part of this study and collected from the literature together with annual gridded JULES output generated in simulations of this study are available at https://doi.org/10.5281/zenodo.7037530. WFDEI meteorological forcing data is available at the DATAGURU website for climate-related data at Lund University (https://DATAGURU.lu.se, then go to “Explore available datasets”). This allows extraction of data from the global domain, a user-defined grid box or region for a specified time interval. Ftp downloads are possible via the unix/linux command line, site = ftp.iiasa.ac.at, username = rfdata and password = forceDATA, this takes the user to the WATCH Forcing DATA files, then switch to the WFDEI directory using: ‘cd WFDEI’. The /WFDEI directory includes files listing grid box elevations and locations Annual CO2 concentrations are available at https://gml.noaa.gov/ccgg/trends/gl_data.html Source data are provided with this paper. | en_GB |
dc.description | Code availability: Python code for data analysis is available under https://doi.org/10.5281/zenodo.7037530. This study uses JULES, two branches of JULES-vn5.2. https://code.metoffice.gov.uk/trac/jules/browser/main/branches/dev/linamercado/r14338_circadian at revision 22682 for TDQ10 simulations and https://code.metoffice.gov.uk/trac/jules/browser/main/branches/dev/douglasclark/vn5.2_diurnal_resp at revision 22681 for simulations with constant Q10 which are available on the Met Office Science Repository System (MOSRS; https://code.metoffice.gov.uk/trac/jules; registration required https://jules.jchmr.org/content/getting-started). Simulations were performed using Rose suites u-ce999 (new formulation) and u-ce859 for simulations with constant Q10, and u-bs101 (with new formulation) and u-ce767 for simulations with TDQ10 also available through MOSRS. | en_GB |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.journal | Nature Communications | en_GB |
dc.relation.ispartof | Nat Commun, 13(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-09-13 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-09-26 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-10-21T10:42:40Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-10-21T10:46:14Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2022-09-26 |
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