Dataset Information

Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios.

ABSTRACT: Increases in atmospheric carbon dioxide (CO₂) concentrations is the main driver of global warming due to fossil fuel combustion. Satellite observations provide continuous global CO₂ retrieval products, that reveal the nonuniform distributions of atmospheric CO₂ concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved CO₂ concentrations assumption. In this study, we reconstructed the historical global monthly distributions of atmospheric CO₂ concentrations with 1° resolution from 1850 to 2013 which are based on the historical monthly and latitudinally resolved CO₂ concentrations accounting longitudinal features retrieved from fossil-fuel CO₂ emissions from Carbon Dioxide Information Analysis Center. And the spatial distributions of nonuniform CO₂ under Shared Socio-economic Pathways and Representative Concentration Pathways scenarios were generated based on the spatial, seasonal and interannual scales of the current CO₂ concentrations from 2015 to 2150. Including the heterogenous CO₂ distributions could enhance the realism of global climate modeling, to better anticipate the potential socio-economic implications, adaptation practices, and mitigation of climate change.

SUBMITTER: Cheng W

PROVIDER: S-EPMC8917170 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios.

Cheng Wei W Dan Li L Deng Xiangzheng X Feng Jinming J Wang Yongli Y Peng Jing J Tian Jing J Qi Wei W Liu Zhu Z Zheng Xinqi X Zhou Demin D Jiang Sijian S Zhao Haipeng H Wang Xiaoyu X

Scientific data 20220311 1

Increases in atmospheric carbon dioxide (CO2) concentrations is the main driver of global warming due to fossil fuel combustion. Satellite observations provide continuous global CO2 retrieval products, that reveal the nonuniform distributions of atmospheric CO2 concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved CO2 concentrations assumption. In this study, we reconstructed the histo ...[more]

PMID: 35277521

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Project description:Atmospheric CO2 concentrations can determine the number of stomata that form on plant leaves (Woodward & Kelly 1995 New Phyt 131: 311-327). The majority of species exhibit reduced stomatal densities at elevated CO2. However, not all plant species react in the same way to elevated CO2 levels and there is a spectrum of effects: Some species increase stomatal densities, some decrease stomatal densities, and some are unaffected. In addition to which, other environmental factors influence the number of stomata that a plant form. Light intensity has also been shown to affect stomatal numbers in various Arabidopsis ecotypes (Schluter et al. 2003 J Exp Bot 54 (383): 867-874; Lake et al. 2002 J Exp Bot 53 (367): 183-193), by increasing stomatal numbers with increasing light levels. There are many changes in gene expression under elevated CO2 conditions, so pinpointing specific genes involved in the stomatal response to CO2 is difficult. In addition, if there is crosstalk between the various signalling pathways affecting ultimate stomatal numbers this complicates further the task of finding genes specifically involved the stomatal response to CO2. Therefore we propose to look at the interaction of two known influences on stomatal numbers, light and CO2, on one specific ecotype, Col-0. We aim to test the hypothesis that light signals interact the CO2 signals that affect stomatal development. Arabidopsis thaliana Columbia-0 ecotype has previously been shown to decrease stomatal numbers in response to a doubling of ambient CO2 concentrations. Col-0 has also been shown to increase stomatal numbers in response to high light intensities. Therefore we propose to grow A. thaliana Col-0 at three light intensities (50 mmol m-2 s-1, 150 mmol m-2 s-1 and 250 mmol m-2 s-1), in both ambient and elevated (double ambient) atmospheric CO2 concentrations. By looking in more detail at how gene expression differs between plants grown at ambient and elevated CO2 at the same light intensities, and also how gene expression differs between plants grown at the same CO2 concentration but different light intensities, we aim to identify those genes involved in the stomatal developmental response to CO2 and whether genes involved in the light response can also be isolated. Experimenter name = Susannah Bird Experimenter phone = (0114) 222 4649 Experimenter address = Animal and Plant Science Department Experimenter address = Alfred Denny Building Experimenter address = Western Bank Experimenter address = Sheffield Experimenter zip/postal_code = S10 2TN Experimenter country = UK Keywords: growth_condition_design

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Dataset Information

Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios.

Publications

Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios.

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