|
|
|
|
|
|
| Changes in Organic Carbon Components and Structure of Black Rhizosphere Soil Under Long-Term Different Fertilization |
| CHEN Lei1, 2, HAO Xiao-yu1, MA Xing-zhu1, ZHOU Bao-ku1, WEI Dan3, ZHOU Lei4, LIU Rong-le5, WANG Hong2* |
1. Institute of Soil and Fertilizer and Environment Resources, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China
2. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/National Engineering Laboratory for Improving Quality of Arable Land/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing 100081, China
3. Institute of Plant Nutrition and Resources, Beijing Academy of Agriculture and Forest, Beijing 100097, China
4. Institute of Microbiology, Heilongjiang Academy of Sciences, Harbin 150001, China
5. Agro-Environmental Protection Institute of Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
|
|
|
|
|
Abstract Soil organic carbon is the crucial driver and regulator of the agricultural ecosystem. In particular, the quantification of rhizosphere organic carbon plays an important role in the soil carbon cycle and mineral nutrient release. Through the research on the changes of organic carbon, labile organic carbon and organic carbon structure in soybean rhizosphere soil under different long-term fertilization, we can further understand the mechanism of rhizosphere organic carbon fixation and stability. The outcome of this research would provide a scientific basis and theoretical support for improving carbon fixation of farmland ecosystem and sustainable development of farmland. The experiment uses a long-term black soil positioning test. Chemical analysis and 13C-NMR were used to study dynamic changes in organic carbon, labile organic carbon and organic carbon structure in soybean rhizosphere soil. The results showed that organic carbon concentrations were generally higher in rhizosphere soil than in bulk soil. Long-term fertilization treatment could significantly increase concentrations of organic carbon and low labile organic carbon in rhizosphere soil, and MNPK treatment had the best effect. Compared with CK treatment, MNPK treatment significantly increased the proportion of alkyl C, O-alkyl C and the ratios of alkyl C to O-alkyl C, and decreased aromatic C and the ratios of aromatic C to total C in rhizosphere soil, especially in bulk soil.NPK treatment increased the proportion of aromatic C and the ratios of aromatic C to total C, increased alkyl C and the ratios of alkyl C to O-alkyl C in rhizosphere soil, and decreased O-alkyl C, which the results were opposite in bulk soil. The above analysis showed that: MNPK treatment significantly increased the content of rhizosphere organic carbon, increased alkyl C, O-alkyl C and the ratios of alkyl C to O-alkyl C while promoting the formation of aggregates and increased the stability of soil particle structure. NPK treatment increased aromatic C, and the ratios of aromatic C to total C reduced the rhizosphere O-alkyl C, which decreased the stability of aggregates. At the same time, it is proved that 13C-NMR technology combined with semi-quantitative analysis could be used to comprehensively analyze the structural changes of different organic carbon functional groups to gain a deeper understanding of the stability mechanism of rhizosphere soil organic carbon.
|
|
Received: 2021-06-23
Accepted: 2021-11-19
|
|
|
|
Corresponding Authors:
WANG Hong
E-mail: wanghong01@caas.cn
|
|
[1] Prather M J, Hohnes C D, Hsu J. Geophysical Research Letters, 2012, 39: 1.
[2] Zhang G B, Ji Y, Ma J, et al. Soil Biology and Biochemistry, 2012, 52: 108.
[3] Maillard , Angers D A. Global Change Biology, 2014, 20: 666.
[4] Kang R F, Ren Y, Wu H J, et al（康日峰, 任 意, 吴会军, 等）. Scientia Agricultura Sinica（中国农业科学）, 2016, 49(11): 2113.
[5] Wang J K, Wang T Y, Zhang X D, et al（汪景宽, 王铁宇, 张旭东, 等）. Journal of Shenyang Agricultural University（沈阳农业大学学报）, 2002, 33(1): 43.
[6] Jones D, Nguyen C, Finlay R D. Plant and Soil, 2009, 321: 5.
[7] Kuzyakov Y. Journal of Plant Nutrition and Soil Science, 2002, 165(4): 382.
[8] Huo C, Luo Y, Cheng W. Soil Biology and Biochemistry, 2017, 111: 78.
[9] Luce M S, Ziadi N, Zebarth B J, et al. Geoderma, 2014, 232-234: 449.
[10] Xu Y H, Chen Z M, Fontaine S, et al. Soil Biology and Biochemistry, 2017, (115): 221.
[11] Assunção S A, Pereira M G, Rosset J S, et al. Science of the Total Environment, 2019, (658): 901.
[12] Dias T, Oakley S, Alarcon-Gutierrez E, et al. Soil Biology and Biochemistry，2013, 58: 163.
[13] Shrestha B, Singh B, Forte C, et al. Soil Use and Management, 2015, 31: 358.
[14] Zhang J J, Cao Z Y, Feng G Z, et al. Pedosphere, 2017, 27(5): 957.
[15] Kundu S, Bhattacharyya R, Prakash V, et al. Soil Tillage Research, 2007, 92: 87.
[16] He Y T, He X H, Xu M G, et al. Soil and Tillage Research, 2018, 177: 79.
|
| [1] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
| [2] |
ZHANG Juan-juan1, 2, NIU Zhen1, 2, MA Xin-ming1, 2, WANG Jian1, XU Chao-yue1, 2, SHI Lei1, 2, Bação Fernando3, SI Hai-ping1, 2*. Hyperspectral Feature Extraction and Estimation of Soil Total Nitrogen Based on Discrete Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3223-3229. |
| [3] |
NIU Fang-peng1, 2, LI Xin-guo1, 3*, BAI Yun-gang2, ZHAO Hui4. Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2232-2237. |
| [4] |
LI Qing-bo1, BI Zhi-qi1, CUI Hou-xin2, LANG Jia-ye2, SHEN Zhong-kai2. Detection of Total Organic Carbon in Surface Water Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3423-3427. |
| [5] |
XU Lu1, CHEN Yi-yun1, 2, 3*, HONG Yong-sheng1, WEI Yu1, GUO Long4, Marc Linderman5. Estimation of Soil Organic Carbon Content by Imaging Spectroscopy With Soil Roughness[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2788-2794. |
| [6] |
ZHANG Jiu-ming1，KUANG En-jun1，CHI Feng-qin1*，LIU Yi-dan4，ZHOU Bao-ku1，XIA Xiao-yu3，WANG Xiao-jun1，SUN Lei1，CHANG Ben-chao1，WEI Dan2. Fluorescence Spectrum Characteristics of DOC in Black Soil Under
Organic Substitution of Chemical Nitrogen Fertilizer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2919-2923. |
| [7] |
LI Quan-lun1, CHEN Zheng-guang1*, SUN Xian-da2. Rapid Detection of Total Organic Carbon in Oil Shale Based on Near
Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1691-1697. |
| [8] |
TAN Yang, JIANG Qi-gang*, LIU Hua-xin, LIU Bin, GAO Xin, ZHANG Bo. Estimation of Organic Matter, Moisture, Total Iron and pH From Back Soil Based on Multi Scales SNV-CWT Transformation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3424-3430. |
| [9] |
LI Yan1, BAI Yang1, WEI Dan1,2*, WANG Wei3, LI Yu-mei3, XUE Hong4, HU Yu1, CAI Shan-shan5. Fluorescence Spectrum Characteristics of Fulvic Acid in Black Soil Under Different Ratios of Organic-Inorganic Fertilizers Combined Application[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3518-3523. |
| [10] |
ZHAO Ning-bo, QIN Kai*, ZHAO Ying-jun, YANG Yue-chao. Study on Indirect Inversion Model and Migration Ability of Chromium in Soil by Aerial Hyperspectral Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1617-1624. |
| [11] |
ZHANG Ling-huo, MA Na*, CHEN Hai-jie, JI Qiang, GUO Xin-wei, ZHANG Peng-peng, HU Meng-ying, BAI Jin-feng, ZHANG Qin. Spectral Analysis of Organic Carbon in Geological Samples[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1276-1280. |
| [12] |
LI Shuo1, LI Chun-lian1, CHEN Song-chao3, 4, XU Dong-yun2, SHI Zhou2*. Removing the Effects of Water From Visible-Near Infrared Spectra in Soil Profiles for the Estimation of Organic Carbon[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1234-1239. |
| [13] |
LIN Nan1,2, LIU Hai-qi3, YANG Jia-jia4, WU Meng-hong1, LIU Han-lin1. Hyperspectral Estimation of Soil Nutrient Content in the Black Soil Region Based on BA-Adaboost[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3825-3831. |
| [14] |
LIU Cui-ying1, ZHANG Jin-rui2, ZENG Tao1, FAN Jian-ling2*. Determination of Soil Organic Carbon and Total Nitrogen Contents in Aggregate Fractions From Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3818-3824. |
| [15] |
LI Ming, QIN Kai*, ZHAO Ning-bo, TIAN Feng, ZHAO Ying-jun. Study on the Relationship Between Black Soil Emissivity Spectrum and Total Potassium Content Based on TASI Thermal Infrared Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2862-2868. |
|
|
|
|
