SUN Guojun, LI Weihong, ZHU Chenggang, CHEN Yaning. Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China[J]. Chinese Geographical Science, 2017, 27(4): 529-538. doi: 10.1007/s11769-017-0885-7
Citation: SUN Guojun, LI Weihong, ZHU Chenggang, CHEN Yaning. Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China[J]. Chinese Geographical Science, 2017, 27(4): 529-538. doi: 10.1007/s11769-017-0885-7

Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China

doi: 10.1007/s11769-017-0885-7
Funds:  Under the auspices of National Science and Technology Support Program of China (No. 2014BAC15B03), the West Light Funds of Chinese Academy of Sciences (No. YB201302)
More Information
  • Corresponding author: CHEN Yaning.E-mail:chenyn@ms.xjb.ac.cn
  • Received Date: 2016-11-06
  • Rev Recd Date: 2017-01-12
  • Publish Date: 2017-08-27
  • Soil carbon to nitrogen (C/N) ratio is one of the most important variables reflecting soil quality and ecological function, and an indicator for assessing carbon and nitrogen nutrition balance of soils. Its variation reflects the carbon and nitrogen cycling of soils. In order to explore the spatial variability of soil C/N ratio and its controlling factors of the Ili River valley in Xinjiang Uygur Autonomous Region, Northwest China, the traditional statistical methods, including correlation analysis, geostatistic alanalys and multiple regression analysis were used. The statistical results showed that the soil C/N ratio varied from 7.00 to 23.11, with a mean value of 10.92, and the coefficient of variation was 31.3%. Correlation analysis showed that longitude, altitude, precipitation, soil water, organic carbon, and total nitrogen were positively correlated with the soil C/N ratio (P < 0.01), whereas negative correlations were found between the soil C/N ratio and latitude, temperature, soil bulk density and soil pH. Ordinary Cokriging interpolation showed that r and ME were 0.73 and 0.57, respectively, indicating that the prediction accuracy was high. The spatial autocorrelation of the soil C/N ratio was 6.4 km, and the nugget effect of the soil C/N ratio was 10% with a patchy distribution, in which the area with high value (12.00-20.41) accounted for 22.6% of the total area. Land uses changed the soil C/N ratio with the order of cultivated land > grass land > forest land > garden. Multiple regression analysis showed that geographical and climatic factors, and soil physical and chemical properties could independently explain 26.8%and 55.4% of the spatial features of soil C/N ratio, while human activities could independently explain 5.4% of the spatial features only. The spatial distribution of soil C/N ratio in the study has important reference value for managing soil carbon and nitrogen, and for improving ecological function to similar regions.
  • [1] Bai Junhong, Deng Wei, Zhu Yanming et al., 2003. Spatial distribution characteristics and ecological effects of carbon and nitrogen of soil in Huolin River catchment wetland. Chinese Journal of Applied Ecology, 14(9): 1494-1498. (in Chinese)
    [2] Bengtsson G, Bengtson P, Månsson K F, 2003. Gross nitrogen mineralization, immobilization and nitrification rates as a function of soil C/N ratio and microbial activity. Soil Biology & Biochemistry, 35(1): 143-154. doi:10.1016/S0038-0717 (02)00248-1
    [3] Brevik E C, Cerdà A, Mataix-solera J et al., 2015. The interdisciplinary nature of soil. Soil, 1(1): 117-129. doi: 10.5194/soil-1-117-2015
    [4] Chai Hua, He Nianpeng, 2016. Evaluation of soil bulk density in Chinese terrestrial ecosystems for determination of soil carbon storage on a regional scale. Acta Ecologica Sinica, 36(13): 1-7. (in Chinese).
    [5] Chang R Y, Jin T T, Lü Y H et al., 2014. Soil carbon and nitrogen changes following affore station of marginal cropland across a precipitation gradient in loess plateau of china. PloS One, 9(1): e85426. doi: 10.1371/journal.pone.0085426
    [6] Cools N, Vesterdal L, Vos B D et al., 2014. Tree species is the major factor explaining C:N ratios in European forest soils. Forest Ecology & Management, 311(1): 3-16. doi: 10.1016/j.foreco.2013.06.047
    [7] Dong Yunzhong, Wang Yongliang, Zhang Jianjie et al., 2014. Soil carbon and nitrogen storage of different land use types in northwestern Shanxi Loess Plateau. Chinese Journal of Applied Ecology, 25(4): 955-960. (in Chinese)
    [8] Feng J, Shi X R, Han F P et al., 2016. Increasing aridity, temperature and soil pH induce soil C-N-P imbalance in grasslands. Scientific Reports, 6: 19601. doi: 10.1038/srep19601
    [9] Gao Junqin, Ouyang Hua, Lei Guangchun et al., 2011. Effects of temperature, soil moisture, soil type and their interactions on soil carbon mineralization in Zoigê alpine wetland, Qinghai-Tibet Plateau. Chinese Geographical Science, 21(1): 27-35. doi: 10.1007/s11769-011-0439-3
    [10] Geng Yuanbo, Zhang Shen, Dong Yunshe et al., 2001. The content of SOC and TN and correlativity between their content and fluxes of CO2, N2O and CH4 in Xilin River Basin steppe. Acta Geographica Sinica, 56(1): 44-53. (in Chinese)
    [11] Guo Xudong, Fu Bojie, Chen Liding et al., 2001. Effects of land use on soil quality in a hilly area—A case study in Zunhua County of Hebei Province. Acta Geographica Sinica, 56(4): 448-455. (in Chinese)
    [12] Hu Minjie, Ren Hongchang, Zhou Fangfang et al., 2016. Spatiotemporal distribution and stoichiometry characteristics of carbon, nitrogen and phosphorus in surface soils of freshwater and brackish marshes in the Min River estuary. China Environmental Science, 36(3): 917-926. (in Chinese)
    [13] Li Jianlin, Jiang Changsheng, Hao Qingju et al., 2015. Distribution characteristics of soil organic carbon and its physical fractions under the different land uses in Jinyun Mountain. Acta Ecologica Sinica, 35(11):3733-3742. (in Chinese).
    [14] Li Qiquan, Yue Tianxiang, Fan Zemeng et al., 2010. Spatial simulation of topsoil TN at the national scale in China. Geographical Research, 29(11): 1981-1992. (in Chinese)
    [15] Lyu Mingzhi, Sheng Linxi, Zhang Zhongsheng et al., 2016. Distribution and accumulation of soil carbon in temperate wetland, Northeast China. Chinese Geographical Science, 26(3): 295-303. doi: 10.1007/s11769-016-0809-y
    [16] Luo Kun, Hu Ronggui, Zhang Wenjun et al., 2013. Response of black SOC, nitrogen and its availability to long-term fertilization. Environmental Science, 34(34): 676-84. (in Chinese)
    [17] Luo Youlin, Li Qiquan, Wang Changquan et al., 2015. Spatial variability of soil C/N ratio and its influence factors at a county scale in hilly area of Mid-Sichuan Basin, Southwest China. Chinese Journal of Applied Ecology, 26(1): 177-85. (in Chinese)
    [18] Ma Li, Yang Linzhang, Ci En et al., 2009. Effects of long-term fertilization on distribution and mineralization of organic carbon in paddy soil. Acta Pedologica Sinica, 46(6): 1050-1058. (in Chinese)
    [19] Mallory E B, Griffin T S, 2007. Impacts of soil amendment history on nitrogen availability from manure and fertilizer. Soil Science Society of American Journal, 26(3): 357-371. doi: 10.2136/sssaj2006.0244
    [20] Miao Qi, Shi Xuezheng, Yu Dongsheng et al., 2010. Scale effect of climatic factors on forest SOC. Acta Pedologica Sinica, 47(2): 270-278. (in Chinese)
    [21] Mi Haili, Xu Xing, Li Shuhua et al., 2004. Effects of soil water stress on contents of chlorophyll, soluble sugar, starch, C/N of two desert plants (Cynanchum komarovii and Glycyrrhiza uralensis). Acta Botanica Boreali-Occidentalia Sinica, 24(10): 1816-1821. (in Chinese)
    [22] Qi Yanbing, Huang Biao, Gu Zhiquan et al., 2008. Spatial and temporal variation of C/N ratios of agricultural soils in typical area of Yangtze Delta Region and its environmental significance. Bulletin of Mineralogy Petrology and Geochemistry, 27(1): 50-56. (in Chinese)
    [23] Qin Fanyu, Shi Xuezheng, Xu Shengxiang et al., 2016. Zonal differences in correlation patterns between soil organic carbon and climate factors at multi-extent. Chinese Geographical Science, 26(5): 670-678. doi: 10.1007/s11769-015-0736-3
    [24] Shi R X, Yang X H, Zhang H Q et al., 2013. Vertical differentiation analysis of sierozem profile characteristics in Yili River valley, China. African Journal of Agricultural Research,8(49): 6509-6517. doi: 10.5897/AJAR12.498
    [25] Sun Huilan, Li Weihong, Yang Yuhai et al., 2012. SOC changing with altitudes on the Ili mountainous region. Scientia Geographica Sinica, 32(5): 603-608. (in Chinese)
    [26] Wan X H, Huang Z Q, He Z M et al., 2014. Soil C:N ratio is the major determinant of soil microbial community structure in subtropical coniferous and broadleaf forest plantations. Plant & Soil, 387(1): 103-116. doi: 10.1007/s11104-014-2277-4
    [27] Wang Jianlin, Zhong Zhiming, Wang Zhonghong et al., 2014. Soil C/N distribution characteristics of alpine steppe ecosystem in Qinhai Tibetan Plateau. Acta Ecologica Sinica, 34 (22): 6678-6691. (in Chinese)
    [28] Wang K, Zhang C R, Li W D, 2013. Predictive mapping of soil total nitrogen at a regional scale: A comparison between geographically weighted regression and Cokriging. Applied Geography, 42(8): 73-85. doi: 10.1016/j.apgeog.2013.04.002
    [29] Wang Li, Zhang Qiang, Niu Xiwu et al., 2007. Effects of different land uses on soil physical and chemical properties in the Loess Plateau of Shanxi Province. Chinese Journal of Eco-Agriculture, 15(4): 53-56. (in Chinese)
    [30] Wang Shaoqiang, Yu Guirui, 2008. Ecological stoichiometry characteristics of ecosystem carbon, nitrogen and phosphorus elements. Acta Ecologica Sinica, 28(8): 3937-3947. (in Chinese)
    [31] Wang Shuping, Zhou Guangsheng, Lu Yucai et al., 2002. Distribution of soil carbon, nitrogen and phosphorus along northeast china transect (nect) and their relationships with climatic factors. Acta Phytoecologica Sinica, 26(5): 513-517. (in Chinese)
    [32] Wang Y F, Fu B J, Lü Y H et al., 2011. Effects of vegetation restoration on SOC sequestration at multiple scales in semi-arid Loess Plateau, China. Catena, 85(1): 58-66. doi: 10.1016/j.catena.2010.12.003
    [33] Wiesmeier M, Barthold F, Blank B et al., 2011. Digital mapping of soil organic matter stocks using random forest modeling in a semi-arid steppe ecosystem. Plant and Soil, 340(1): 7-24. doi: 10.1007/s11104-010-0425-z
    [34] Wu C F, Wu J P, Luo Y M et al., 2009. Spatial prediction of soil organic matter content using cokriging with remotely sensed data. Soil Science Society of America Journal, 73(4): 1202-1208. doi: 10.2136/sssaj2008.0045
    [35] Yang Q Y, Jiang Z C, Ma Z L et al., 2014. Spatial prediction of soil water content in karst area using prime terrain variables as auxiliary Cokriging variable. Environmental Earth Sciences, 72(11): 4303-4310. doi: 10.1007/s12665-014-3329-z
    [36] Yang Q Y, Luo W Q, Jiang Z C et al., 2016. Improve the prediction of soil bulk density by cokriging with predicted soil water content as auxiliary variable. Journal of Soils and Sediments, 16(1): 77-84. doi: 10.1007/s11368-015-1193-4
    [37] Yang Yuhai, Chen Yaning, Li Weihong et al., 2010. SOC distribution of different vegetation types in the Ili River Valley. Acta Geographica Sinica, 65(5): 605-612. (in Chinese)
    [38] Yao H B, Lei T, Wang G X et al., 2014. Estimation of soil fertility using collocated cokriging by combining aerial hyperspectral imagery and soil sample data. Applied Engineering in Agriculture, 30(1): 113-121. doi: 10.13031/aea.30.10251
    [39] Zeng X H, Zhang W J, Cao J S et al., 2014. Changes in soil organic carbon, nitrogen, phosphorusand bulk density after afforestation of the “Beijing-Tianjin Sandstorm Source Control” Program in China. Catena, 118: 186-194. doi: org/10.1016/j.catena.2014.01.005
    [40] Zhang S L, Yan L L, Huang J et al., 2015. Spatial heterogeneity of soil C:N ratio in a Mollisol Watershed of Northeast China. Land Degradation & Development, 27(2): 295-304. doi: 10.1002/ldr.2427
    [41] Zhang X Y, Chen L D, Li Q et al., 2013. Increase in soil nutrients in intensively managed cash-crop agricultural ecosystems in the Guanting Reservoir catchment, Beijing, China. Geoderma, (193): 102-108. doi: 10.1016/j.geoderma.2012.09.008
    [42] Zhao Y, Peth S, Reszkowska A et al., 2011. Response of soil moisture and temperature to grazing intensity in a Leymuschinensis steppe, Inner Mongolia. Plant and Soil, 340(1): 89-102. doi: 10.1007/s11104-010-0460-9
    [43] Zhao Y, Peth S, Krümmelbein J et al., 2007. Spatial variability of soil properties affected by grazing intensity in Inner Mongolia grassland. Ecological Modelling, 205(1): 241-254. doi: 10.1016/j.ecolmodel.2007.02.019
    [44] Zhou Zhiwen, Pan Jianjun, Ju Weimin et al., 2014. Distribution of soil C:N ratio in three forest types on different slope positions in Shennongjia, China. Journal of Soil and Water Conservation, 28(4): 210-217. (in Chinese)
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(168) PDF downloads(693) Cited by()

Proportional views
Related

Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China

doi: 10.1007/s11769-017-0885-7
Funds:  Under the auspices of National Science and Technology Support Program of China (No. 2014BAC15B03), the West Light Funds of Chinese Academy of Sciences (No. YB201302)
    Corresponding author: CHEN Yaning.E-mail:chenyn@ms.xjb.ac.cn

Abstract: Soil carbon to nitrogen (C/N) ratio is one of the most important variables reflecting soil quality and ecological function, and an indicator for assessing carbon and nitrogen nutrition balance of soils. Its variation reflects the carbon and nitrogen cycling of soils. In order to explore the spatial variability of soil C/N ratio and its controlling factors of the Ili River valley in Xinjiang Uygur Autonomous Region, Northwest China, the traditional statistical methods, including correlation analysis, geostatistic alanalys and multiple regression analysis were used. The statistical results showed that the soil C/N ratio varied from 7.00 to 23.11, with a mean value of 10.92, and the coefficient of variation was 31.3%. Correlation analysis showed that longitude, altitude, precipitation, soil water, organic carbon, and total nitrogen were positively correlated with the soil C/N ratio (P < 0.01), whereas negative correlations were found between the soil C/N ratio and latitude, temperature, soil bulk density and soil pH. Ordinary Cokriging interpolation showed that r and ME were 0.73 and 0.57, respectively, indicating that the prediction accuracy was high. The spatial autocorrelation of the soil C/N ratio was 6.4 km, and the nugget effect of the soil C/N ratio was 10% with a patchy distribution, in which the area with high value (12.00-20.41) accounted for 22.6% of the total area. Land uses changed the soil C/N ratio with the order of cultivated land > grass land > forest land > garden. Multiple regression analysis showed that geographical and climatic factors, and soil physical and chemical properties could independently explain 26.8%and 55.4% of the spatial features of soil C/N ratio, while human activities could independently explain 5.4% of the spatial features only. The spatial distribution of soil C/N ratio in the study has important reference value for managing soil carbon and nitrogen, and for improving ecological function to similar regions.

SUN Guojun, LI Weihong, ZHU Chenggang, CHEN Yaning. Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China[J]. Chinese Geographical Science, 2017, 27(4): 529-538. doi: 10.1007/s11769-017-0885-7
Citation: SUN Guojun, LI Weihong, ZHU Chenggang, CHEN Yaning. Spatial Variability of Soil Carbon to Nitrogen Ratio and Its Driving Factors in Ili River Valley, Xinjiang, Northwest China[J]. Chinese Geographical Science, 2017, 27(4): 529-538. doi: 10.1007/s11769-017-0885-7
Reference (44)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return