农业生态

锡尔河流域哈萨克斯坦境内农田土壤粒度特征及空间异质性

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  • 1.新疆大学资源与环境科学学院,新疆 乌鲁木齐 830046
    2.中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室,新疆 乌鲁木齐 830011
    3.中国科学院中亚生态与环境研究中心,新疆 乌鲁木齐 830011
    4.中国科学院大学,北京 100049
    5.哈萨克斯坦土壤与农业化学研究所,哈萨克斯坦 阿拉木图 050060
    6.哈萨克斯坦国立大学地理与环境科学学院,哈萨克斯坦 阿拉木图 050040
贺静(1992-),女,硕士研究生,主要从事干旱区湖泊资源与环境研究. E-mail: 1130062311@qq.com

收稿日期: 2021-10-18

  修回日期: 2021-12-06

  网络出版日期: 2022-09-26

基金资助

新疆维吾尔自治区区域协同创新专项(上海合作组织科技伙伴计划及国际科技合作计划)(2020E01013);国家自然科学基金(42171014)

Grain size characteristics and spatial heterogeneity of farmland soils in the Syr Darya River Basin of Kazakhstan

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  • 1. College of Resource and Environment Sciences, Xinjiang University, Urumqi 830046, Xinjiang, China
    2. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
    3. Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
    4. University of Chinese Academy of Sciences, Beijing 100049, China
    5. Kazakh Research Institute of Soil Science and Agrochemistry Named after U. U. Uspanov, Almaty 050060, Kazakhstan
    6. Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan

Received date: 2021-10-18

  Revised date: 2021-12-06

  Online published: 2022-09-26

摘要

以锡尔河流域哈萨克斯坦境内农田土壤为研究对象,结合经典统计学和地统计学方法,开展了0~20 cm土层土壤粒度特征及空间异质性研究。结果表明:(1) 各子研究区内不同粒径土壤颗粒的分布特征较为相似,均以0.25~0.05 mm和0.05~0.01 mm粒径颗粒的平均含量占比最高,除子区3中粒径为1.0~0.25 mm土壤颗粒含量具有较强的变异性,其他各粒径土壤颗粒含量都具有中等程度变异性;(2) 子区1中除粒径为1.0~0.05 mm土壤颗粒以外,其他粒径土壤颗粒含量的块金系数均<40%,子区2各粒径土壤颗粒含量块金系数均<50%,子区3除粒径<0.001 mm土壤颗粒以外,其他粒径土壤颗粒含量的块金系数均<40%,表明各研究区内土壤颗粒组成已经受到不同程度随机性因素的影响;(3) 利用克里金插值方法对研究区不同粒径土壤颗粒含量进行空间插值,插值结果表明研究区内不同粒径土壤颗粒含量在空间分布上表现出不同的分布特征。研究结果可为农田土壤的合理利用以及退化土壤改良提供科学依据。

本文引用格式

贺静,吉力力·阿不都外力,马龙 . 锡尔河流域哈萨克斯坦境内农田土壤粒度特征及空间异质性[J]. 干旱区研究, 2022 , 39(4) : 1282 -1292 . DOI: 10.13866/j.azr.2022.04.28

Abstract

This article takes the farmland soils in the Syr Darya River Basin of Kazakhstan as the research object, combining classical statistics and geostatistics methods, and investigates the characteristics of soil grain size and spatial heterogeneity in the 0-20 cm soil layer. Results showed that the distribution characteristics of soil particles with different particle sizes in each study area were similar, and the average content of particles with particle sizes of 0.25-0.05 mm and 0.05-0.01 mm is the highest. Except for subzone 3, the content of soil particles with a particle size of 1.0-0.25 mm has strong variability, while that of other sizes has a moderate degree of variability; Except for soil particles with a particle size of 1.0-0.05 mm in subzone 1, the nugget coefficient of soil particle content of other particle sizes is all < 40%, and that of each particle size in subzone 2 is all < 50%, in subzone 3, except for soil particles with a particle size of < 0.001 mm, the nugget coefficient of soil particle content of other particle sizes is < 40%. These findings revealed that the composition of soil particles in each study area has been affected by varying degrees of random factors; The Kriging interpolation method was used to interpolate the content of soil particles of different sizes in the study area. The interpolation results showed that the content of soil particles of different sizes in the study area demonstrated different distribution characteristics in the spatial distribution. The research results can provide a scientific basis for the rational use of farmland soil and the improvement of degraded soil.

参考文献

[1] Hu H C, Tian F Q, Hu H P. Soil particle size distribution and its relationship with soil water and salt under mulched drip irrigation in Xinjiang of China[J]. Science China, 2011, 54(6): 1568-1574.
[2] Zhang Z H, Hu B Q, Hu G. Spatial heterogeneity of soil chemical properties in a subtropical karst forest, Southwest China[J]. The Scientific World Journal, 2014: 473651.
[3] Bayat H, Rastgou M, Nemes A, et al. Mathematical models for soil particle-size distribution and their overall and fraction-wise fitting to measurements[J]. European Journal of Soil Science, 2017, 68(3): 345-364.
[4] 张杰, 高鹏, 孙会敏, 等. 鲁中南山地典型植被土壤颗粒与土壤水分特征曲线的分形学特征[J]. 中国水土保持科学, 2013, 11(1): 75-81.
[4] [Zhang Jie, Gao Peng, Sun Huimin, et al. Fractal characteristics of soil particles and soil water retention curve under typical vegetations in mountainous land of central southern Shandong[J]. Science of Soil and Water Conservation, 2013, 11(1): 75-81.]
[5] Tumelo N, Olaleye A O, Mating R. Spatial heterogeneity of soil physico-chemical properties in contrasting wetland soils in two agro-ecological zones of Lesotho[J]. Soil Research, 2012, 50(7): 579-587.
[6] Dang X H, Pan X, Gao Y, et al. Spatial heterogeneity of wind-eroded soil particles around Nitraria tangutorum nebkhas in the Ulan Buh Desert[J]. Ecoscience, 2019, 26(4): 1-12.
[7] 赵鹏, 朱淑娟, 段晓峰, 等. 民勤绿洲边缘阻沙带表层土壤粒度空间分布特征[J]. 干旱区研究, 2021, 38(5): 1335-1345.
[7] [Zhao Peng, Zhu Shujuan, Duan Xiaofeng, et al. Spatial distribution characteristics of grain size of surface soil in the sand-resitant belt of Minqin Oasis marginal[J]. Arid Zone Research, 2021, 38(5): 1335-1345.]
[8] Bogunovic I, Pereira P, Brevik E C. Spatial distribution of soil chemical properties in an organic farm in Croatia[J]. Science of The Total Environment, 2017, 62(1): 535-545.
[9] 丁延龙, 蒙仲举, 高永, 等. 荒漠草原风蚀地表颗粒空间异质特征[J]. 水土保持通报, 2016, 36(2): 59-64.
[9] [Ding Yanlong, Meng Zhongju, Gao Yong, et al. Heterogeneity of soil particles in word erosion surface of desert steppe[J]. Bulletin of Soil and Water Conservation, 2016, 36(2): 59-64.]
[10] 王幼奇, 白一茹, 王建宇. 引黄灌区不同尺度农田土壤重金属空间分布及污染评价: 以银川市兴庆区为例[J]. 环境科学, 2014, 35(7): 2714-2720.
[10] [Wang Youqi, Bai Yiru, Wang Jianyu. Distribution of soil heavy metal and pollution evaluation on the different sampling scales in farmland on Yellow River irrigation area of ningxia: A case study in Xingqing County of Yinchuan City[J]. Environmental Science, 2014, 35(7): 2714-2720.]
[11] Wang H L, Gao J L, Yuan W J, et al. Spatially heterogeneous characteristics of surface soil particles around nebkhas in the Gobi Desert[J]. Chinese Journal of Plant Ecology, 2013, 37(5): 464-473.
[12] 刘文, 吴敬禄, 马龙. 乌兹别克斯坦表层土壤元素含量与空间结构特征初步分析[J]. 农业环境科学学报, 2013, 32(2): 282-289.
[12] [Liu Wen, Wu Jinglu, Ma Long. An initial analysis of topsoil element contents and its spatial distribution in Uzbekista[J]. Journal of Agro-Environmental Science, 2013, 32(2): 282-289.]
[13] 樊立娟, 胡广录, 廖亚鑫, 等. 河西走廊斑块植被区表层土壤粒径及其分形维数的空间变异特征[J]. 干旱区研究, 2015, 32(6): 1068-1075.
[13] [Fan Lijuan, Hu Guanglu, Liao Yaxin, et al. Spatial variability of soil particle size and its fractal dimension of patchy vegetation in Hexi Corridor[J]. Arid Zone Research, 2015, 32(6): 1068-1075.]
[14] Hu G L, Fan L J, Wang D J, et al. Spatial heterogeneity of surface soil particles of patch vegetation in desert-oasis ecotone[J]. Journal of Lanzhou Jiaotong University, 2013, 32(6): 159-164.
[15] 王浩, 罗格平, 王伟胜, 等. 基于多源遥感数据的锡尔河中下游农田土壤水分反演[J]. 自然资源学报, 2019, 34(12): 229-243.
[15] [Wang Hao, Luo Geping, Wang Weisheng, et al. Inversion of soil moisture content in the farmland in middle and lower reaches of Syr Darya River Basin based on multi-source remotely sensed data[J]. Journal of Natural Resources, 2019, 34(12): 229-243.]
[16] Ma L, Abuduwaili J, Smanov Z, et al. Spatial and vertical variations and heavy metal enrichments in irrigated soils of the Syr Darya River watershed, Aral Sea Basin, Kazakhstan[J]. International Journal of Environmental Research and Public Health, 2019, 16(22): 4398-4413.
[17] 刘文, 吴敬禄, 曾海鳌, 等. 哈萨克斯坦东部土壤元素组成及其空间影响因素分析[J]. 地球环境学报, 2013(1): 1222-1229.
[17] [Liu Wen, Wu Jinglu, Zeng Hai’ao, et al. The inital analysis of topsoil element contents and spatial influencing factors in East Kazakhstan[J]. Journal of Earth Environment, 2013(1): 1222-1229.]
[18] Eyeberenov S, Cao B J, Li F T. Problems of Syrdarya river basin management[J]. Frontiers of Environmental ence & Engineering in China, 2009, 3(2): 221-225.
[19] Zhai X B, Li Y P, Liu Y R, et al. Assessment of the effects of human activity and natural condition on the outflow of Syr Darya River: A stepwise-cluster factorial analysis method[J]. Environmental Research, 2020, 194(6): 634-646.
[20] Harris I, Osborn T J, Jones P, et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset[J]. Scientific Data, 2020, 7(1): 1-18.
[21] Jalankuzov T, Suleimenov B, Busscher W J, et al. Irrigated cotton grown on sierozem soils in South Kazakhstan[J]. Communications in Soil Science and Plant Analysis, 2013, 44(22): 3391-3399.
[22] Nachtergaele F, van Velthuizen H, Verekst L, et al. Harmonized World Soil Database v 1. 2[J]. IIASA: Laxenburg, Austria, 2012.
[23] Olzhabayeva A O, Rau A G, Sarkynov E S, et al. Effect of irrigation and fertilizers on rice yield in conditions of Kyzylorda irrigation array[J]. Biosciences Biotechnology Research Asia, 2016, 13(4): 2045-2053.
[24] Sugimori Y, Funakawa S, Pachikin K M, et al. Soil salinity dynamics in irrigated fields and its effects on paddy-based rotation systems in southern Kazakhstan[J]. Land Degradation & Development, 2008, 19(3): 305-320.
[25] Qi Y C, Dong Y S, Jin Z, et al. Spatial heterogeneity of soil nutrients and respiration in the desertified grasslands of Inner Mongolia, China[J]. Pedosphere, 2010, 20(5): 655-665.
[26] 李晓晖, 袁峰, 白晓宇, 等. 典型矿区非正态分布土壤元素数据的正态变换方法对比研究[J]. 地理与地理信息科学, 2010, 26(6): 102-105.
[26] [Li Xiaohui, Yuan Feng, Bai Xiaoyu, et al. Comparison of normalization methods for non-normal distributed soil elements data in typical mining area[J]. Geography and Geo-Information Science, 2010, 26(6): 102-105.]
[27] 方丽章, 李艳红, 李发东, 等. 艾比湖湿地土壤水分-盐分-养分空间异质性分析[J]. 农业环境科学学报, 2019, 38(1): 163-173.
[27] [Fang Lizhang, Li Yanhong, Li Fadong, et al. Analysis of spatial variation of soil moisture-salinity-nutrient in Ebinur Lake wetlands, China[J]. Journal of Agro-Environmental Science, 2019, 38(1): 163-173.]
[28] 吴克宁, 赵瑞. 土壤质地分类及其在我国应用探讨[J]. 土壤学报, 2019, 56(1): 227-241.
[28] [Wu Kening, Zhao Rui. Soil texture classification and its application in China[J]. Acta Pedologic Sinica, 2019, 56(1): 227-241.]
[29] Funakawa S, Suzuki R, Karbozova E, et al. Salt-affected soils under rice-based irrigation agriculture in southern Kazakhstan[J]. Geoderma, 2000, 97(1): 61-85.
[30] 刘金伟, 李志忠, 武胜利, 等. 新疆艾比湖周边白刺沙堆形态特征空间异质性研究[J]. 中国沙漠, 2009, 29(4): 628-635.
[30] [Liu Jinwei, Li Zhizhong, Wu Shengli, et al. The spatial heterogeneity of morphologic feature of Nitraria nebkhas around Ebinur Lake Xinjiang[J]. Journal of Desert Research, 2009, 29(4): 628-635.]
[31] Unamunzaga O, Besga G, Castellón A, et al. Spatial and vertical analysis of soil properties in a mediterranean vineyard soil[J]. Soil Use and Management, 2014, 30(2): 285-296.
[32] 毛丽, 苏志珠, 王国玲, 等. 毛乌素沙地不同土地利用类型的土壤粒度及有机质特征[J]. 干旱区研究, 2019, 36(3): 589-598.
[32] [Mao Li, Su Zhizhu, Wang Guoling, et al. Soil particle size and organic matter content of different land use type in the Mu Us Sandland[J]. Arid Zone Research, 2019, 36(3): 589-598.]
[33] 买合皮热提·吾拉木, 满苏尔·沙比提, 阿依图尔荪·哈力穆拉提. 渭干河-库车河三角洲绿洲农田表层土壤粒度特征分析[J]. 农业现代化研究, 2015, 36(2): 291-296.
[33] [Mahpirat Ulam, Mansur Sabit, Aytursun Halmurat. Soil particle size characteristics of farmland top soils in the Weigan-Kuqa river delta oasis[J]. Research of Agricultural Modernization, 2015, 36(2): 291-296.]
[34] Wang J Y, Liu Y X, Wang S M, et al. Spatial distribution of soil salinity and potential implications for soil management in the Manas River watershed, China[J]. Soil Use and Management, 2020, 36(1): 93-103.
[35] 杜金龙, 靳孟贵, 欧阳正平, 等. 焉耆盆地土壤盐分剖面特征及其与土壤颗粒组成的关系[J]. 地球科学(中国地质大学学报), 2008, 33(1): 131-136.
[35] [Du Jinlong, Jin Menggui, Ouyang Zhengping, et al. Characteristics of soil salinity profiles and relationship between salinity and soil particle composition in Yanqi Basin of Xinjiang, China[J]. Earth Science-Journal of China University of Geosciences, 2008, 33(1): 131-136.]
[36] Zhang W Y, Ma L, Abuduwaili J, et al. Hydrochemical characteristics and irrigation suitability of surface water in the Syr Darya River, Kazakhstan[J]. Environmental Monitoring and Assessment, 2019, 191(9): 1-17.
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