DOI: 10.1002/gbc.20065
Scopus记录号: 2-s2.0-84883173584
论文题名: The importance of crop growth modeling to interpret the Δ14CO2 signature of annual plants
作者: Bozhinova D ; , Combe M ; , Palstra S ; W ; L ; , Meijer H ; A ; J ; , Krol M ; C ; , Peters W
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2013
卷: 27, 期: 3 起始页码: 792
结束页码: 803
语种: 英语
英文关键词: carbon
; carbon dioxide
; crop growth modeling
; fossil fuel emissions
; plant sample
; radiocarbon
Scopus关键词: Anthropogenic activity
; Atmospheric transport
; Crop growth model
; Fossil fuel emissions
; Measurement precision
; Plant samples
; radiocarbon
; Spatial differences
; Atmospheric movements
; C (programming language)
; Carbon
; Crops
; Fossil fuels
; Plants (botany)
; Carbon dioxide
; annual plant
; atmospheric pollution
; atmospheric transport
; carbon dioxide
; carbon isotope
; emission
; fossil fuel
; growth modeling
; growth response
; human activity
; phenology
; Triticum aestivum
; Zea mays
英文摘要: The 14C/C abundance in CO2(Δ 14CO2) promises to provide useful constraints on regional fossil fuel emissions and atmospheric transport through the large gradients introduced by anthropogenic activity. The currently sparse atmospheric Δ14CO2 monitoring network can potentially be augmented by using plant biomass as an integrated sample of the atmospheric Δ14CO2. But the interpretation of such an integrated sample requires knowledge about the daytoday CO2 uptake of the sampled plants. We investigate here the required detail in daily plant growth variations needed to accurately interpret regional fossil fuel emissions from annual plant samples. We use a crop growth model driven by daily meteorology to reproduce daily fixation of Δ14CO2 in maize and wheat plants in the Netherlands in 2008. When comparing the integrated Δ14CO2 simulated with this detailed model to the values obtained when using simpler proxies for daily plant growth (such as radiation and temperature), we find differences that can exceed the reported measurement precision of Δ14CO2(∼2‰). Furthermore, we show that even in the absence of any spatial differences in fossil fuel emissions, differences in regional weather can induce plant growth variations that result in spatial gradients of up to 3.5‰ in plant samples. These gradients are even larger when interpreting separate plant organs (leaves, stems, roots, or fruits), as they each develop during different time periods. Not accounting for these growthinduced differences in Δ14CO2 in plant samples would introduce a substantial bias (1.5-2 ppm) when estimating the fraction of atmospheric CO 2 variations resulting from nearby fossil fuel emissions. We advise to use crop models to simulate the 14C content of plant samplesPlant phenology results in different 14C signal in the plant organsWeather variations induce spatial gradients in crop growth and thus 14C content ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77587
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Meteorology and Air Quality, Wageningen University, PO Box 47, NL-6700 AA, Wageningen, Netherlands; Centre for Isotope Research, University of Groningen, Groningen, Netherlands; Institute for Marine and Atmospheric Research Utrecht, Utrecht, Netherlands
Recommended Citation:
Bozhinova D,, Combe M,, Palstra S,et al. The importance of crop growth modeling to interpret the Δ14CO2 signature of annual plants[J]. Global Biogeochemical Cycles,2013-01-01,27(3)