Dynamics of atmospheric6 13C in the past 440 years in Aleitai, Xinjiang

Abstract

Abstract: Since industrial revolution, a large amount of anthropogenic CO₂ from fossil fuel combustion and deforestation has been emitted into atmosphere, and thus, the atmospheric CO₂ concentration increased rapidly, while the δ¹³C in atmospheric CO₂ became lower and lower due to Suess effect.Therefore, the prediction of δ¹³C is crucial for studying global changes.In order to make an accurate prediction, it is necessary to understand its historical variation.The dynamics of δ¹³C in plants can sensitively reflect it.In this paper, the dynamics of δ¹³C in atmospheric CO₂ in the past 440 years in Aleitai, Xinjiang were reconstructed by using tree-ring δ¹³C series and plant stable carbon isotope fractionation model.The results showed that atmospheric δ¹³C value was relatively constant before 1850 (R²=0.052), which was about -6.60‰, while a sharp decrease in atmospheric δ¹³C with an average of - 7.02‰ was found since 1850 (R²=0.65).Compared with those from ice core bubbles, more fluctuations were found in atmospheric 8 Cderived from tree-ring series, possibly due to the higher resolution of the latter, and the difference of real atmospheric δ¹³C between the growth site of the tree and the globe.

Key words: Tree ring, Atmosphere, ¹³C, Model

CLC Number:

P595
S718.5

CHEN Tuo, QIN Dahe, LIU Xiao-hong, REN Jiawen, LI Jiangfeng . Dynamics of atmospheric6 ¹³C in the past 440 years in Aleitai, Xinjiang[J]. Chinese Journal of Applied Ecology, 2003, (9): 1469-1472.

References

[1] Chen T(陈拓),QinD-H(秦大河),LiJ-F(李江风),et al.2000. Response of stomatal conductance of a natural tree for the past 240 years to changes of atmospheric CO₂ concentration. J Lanzhou Univ(Nat Sci) (兰州大学学报(自然科学版)), 20(4):112～116 (in Chinese)
[2] Denning AS, Randall PA. 1996. Simulation of terrestrial carbon metabolism and atmospheric CO₂ and a general circulation models 2. Simulated CO₂ concentrations. Tellus, 48B: 543～567
[3] Enting IG, Trudinger CM, Francey RJ. 1995. A synthesis inversion of the concentration and δ ¹³C of atmosperic CO₂. Tellus, 47:35～52
[4] Farmer JG. 1979. Problems in interpreting tree-ring δ¹³C records. Nature, 279:229～231
[5] Farquhar GD, O' Leary MH, Baxter JA. 1982. On the relation ship between carbon isotope discrimination and intercellular carbon dioxide concentration in leaves. Aust J Plant Physiol, 9 : 121～137
[6] Francey RJ, Allison CE, Etheridge DM, etal. 1999. A 1000-year high precision record of δ ¹³C in atmospheric CO₂. Tellus, 51B:170～193
[7] Freyer HD, Belacy N. 1983. ¹³C/¹²C records in northern hemispheric trees during the past 500 years- Anthropogenic impact and climatic superpositions. J Geophys Res, 88: 6844～6852
[8] Friedli H, Lotscher H, Oeschger H, et al. 1986. Ice core record of the ¹³C/¹²C ratio of atmospheric CO₂ in the past two centuries.Nature, 324: 237～238
[9] Jiang G-M(蒋高明), Huang Y-X(黄银晓), Wan G-J(万国江),et al. 1997. A study on the δ ¹³C values of tree rings and their indicative functions in revealing atmospheric CO₂ changes in north China. Acta Phytoecol Sin(植物生态学报), 21(2): 155～160 (in Chinese)
[10] Jiang G-M(蒋高明). 2001. Review on some hot topics towards the researches in the field of plant physioecology. Acta Phytoecol Sin (植物生态学报), 25(5): 514～519 (in Chinese)
[11] Jiang Y-L(蒋延玲), Zhou G-S(周广胜). 2001. Carbon equilibrium in Larix gmelini forest and impact of global change on it. Chin J Appl Ecol(应用生态学报), 12(4): 481～484(in Chinese)
[12] Keeling CD, Bacastow RB, Carter AF, et al. 1989. A three-dimensional model of atmospheric CO₂ transport based on observed winds 1. Analysis of observational data. In: Peterson DH ed. Aspects of Climate Variability in the Pacific and the Western America. Geophys Monogr, 55: 165～236
[13] Krishnamurthy RV. 1996. Implications of a 400 year tree ring based ¹³C/¹²C chronology. Geophys Res Letter, 23:371～374
[14] Leavitt SW. 1994. South American tree rings show declining trend.Tellus, 46B: 152～157
[15] Leuenberger M, Siegenthaler U, Langway CC. 1992. Carbon isotope composition of atmospheric CO₂ during the last ice age from an Antarctic ice core. Nature, 357: 488～490
[16] Marshall JD, Monserud RA. 1996. Homeostatic gas-exchange parameters inferred from ¹³C/¹²C in tree rings of conifers. Oecologia,105:13～21
[17] Marshall JD, Zhang J. 1994.Carbon isotope discrimination and water-use efficiency in native plants of the north-central Rockies. Ecology, 75: 1887～1895
[18] Mazany T, Lerman JC, Long A. 1980.Carbon-13 in tree-ring cellulose as an indicator of past climates. Nature, 287:432～435
[19] Mook WG, Koopmans M. 1983. Seasonal, latitudinal, and secular variations in the abundance and isotopic vatios of atmospheric carbon dioxide I. Results from land stations. J Geophys Res, 88: 10915～10933
[20] O' Leary MH. 1981. Carbon isotope fractionation in plants. Phytochemistry, 20:553～567
[21] Saurer M, Siegenthaler U. 1995. The climate-carbon isotope relationship in tree rings and the significance of site conditions. Tellus,47B1: 320～330
[22] Sun G-C(孙谷畴), Lin Z-F(林植芳). 1992.¹³C/¹²C ratio in tree ring of subtropical monsoon evergreen broad-leaved forest and CO₂ concentration in atmosphere. Chin J Appl Ecol (应用生态学报),3(4): 291～295 (in Chinese)
[23] Valentini R, Matteucci G, Dolman A J, et al. 2000. Respiration as the main determinant of carbon balance in European forest. Nature, 404:861～867
[24] Wong SC, Cowan IR, Fraquhar GD. 1979. Stomatal conductance correlates with photosynthetic capacity. Nature, 282:424～426
[25] Zhang Z-K(张振克), Wu R-J(吴瑞金). 1999. Climatic changes of little ice age and its social effects in China. Explor Nat (大自然探索), 18(1) :66～70 (in Chinese)

Dynamics of atmospheric6 ¹³C in the past 440 years in Aleitai, Xinjiang

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	CAO Huayan, MIAO Zheng, HAO Yuanshuo, DONG Lihu. Stem moisture content prediction model for Larix olgensis based on beta regression. [J]. Chinese Journal of Applied Ecology, 2024, 35(3): 587-596.
[2]	HU Ailian, YANG Juan, LIU Baolin, ZOU Yu. Prediction on the changes in potential suitable areas for mangroves along the coast of Guangxi and the threat from Spartina alterniflora invasion [J]. Chinese Journal of Applied Ecology, 2024, 35(3): 669-677.
[3]	LI Xiangling, CHEN Fengxian, CHEN Xijuan. Prediction of atrazine degradation in soil based on XGBoost model [J]. Chinese Journal of Applied Ecology, 2024, 35(3): 789-796.
[4]	CAO Xiaomei, MIAO Zheng, HAO Yuanshuo, DONG Lihu. Height-diameter model of broad-leaved mixed forest based on species classification in Maoershan, Northeast China [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 307-320.
[5]	LI Jiayu, SHI Xiuzhen, LI Shuaijun, WANG Zhenyu, WANG Jianqing, ZOU Bingzhang, WANG Sirong, HUANG Zhiqun. Effects of stand ages on soil enzyme activities in Chinese fir plantations and natural secondary forests [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 339-346.
[6]	ZUO Yuzhu, PAN Chengzhong, MA Yongxing, MA Lan. Rainfall-runoff partitioning in small watersheds of different vegetation types in the loess area based on hydrogen and oxygen isotope tracing [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 399-406.
[7]	GAN Wenjing, MO Shangxuan, ZHANG Jianhong, SONG Xianwei, XIAN Jinmei, YANG Lu, NONG Haiqin. Water conservation pattern of Fangcheng River Basin in Beibu Gulf and its response to precipitation [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 407-414.
[8]	LU Chang, CAI Xueqin, HAO Canshu, LIU Yuzhen, WANG Zhiyu, MA Ya'nan. Ecosystem service tradeoff and synergistic relationship in the Yellow River Delta High-Efficiency Eco-Economic Zone [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 457-468.
[9]	YUAN Jiayu, Xiong Li, WU Zhiwei, ZHU Shihao, KANG Ping, LI Shun. Characteristics of pine wood nematode disease in Nankang District, Ganzhou, Jiangxi Province, China [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 507-515.
[10]	WANG Fei, ZHOU Zihan, HAN Dongrui, WANG Meng, WEI Qinggang, LUO Xiubin, GAO Rui, ZHANG Zhuoran, FANG Jingchun. Research progress in parameterizing irrigation and fertilization in land surface model [J]. Chinese Journal of Applied Ecology, 2024, 35(2): 543-554.
[11]	LIU Yisheng, HOU Peng, WANG Ping, ZHU Jian. Research advance on quantitative assessment methods of ecosystem water conservation service functions [J]. Chinese Journal of Applied Ecology, 2024, 35(1): 275-288.
[12]	XIAO Chen, TIAN Dongyuan, MA Rong, DONG Lingbo. Compatibility predictive model for regeneration quantities of Larix gmelinii natural forest in Daxing’anling Mountains, China [J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2345-2354.
[13]	SUN Long, MA Linggan, GUO Yan, FAN Jiale, CHEN Boxuan, HU Tongxin. Prediction model of water content in surface dead fuel based on convolution neural network and meteoro-logical factors regression [J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2453-2461.
[14]	QI Yuting, ZHANG Ping, LIU Lei, MA Xuenan, WANG Huan, ZHAO Juan. Multi-scenario optimization of land use structure and prediction of ecosystem service value in Guanzhong Plain urban agglomeration [J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2507-2517.
[15]	REN Menglin, GUO Yan, CHEN Boxuan, FAN Jiale, HU Tongxin, SUN Long. Prediction models of fire spread rate of Pinus koraiensis plantation's surface fuel [J]. Chinese Journal of Applied Ecology, 2023, 34(8): 2091-2100.