宁夏土壤颗粒组成特点及其影响因素分析

doi:10.3864/j.issn.0578-1752.2023.21.011

中国农业科学 ›› 2023, Vol. 56 ›› Issue (21): 4272-4287.doi: 10.3864/j.issn.0578-1752.2023.21.011

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

宁夏土壤颗粒组成特点及其影响因素分析

周雷¹(), 曲潇琳², 周涛³, 马常宝², 李建兵², 龙怀玉¹(), 徐爱国¹, 张认连¹, 李格⁴

¹ 北方干旱半干旱耕地高效利用全国重点实验室（中国农业科学院农业资源与农业区划研究所），北京 100081
² 农业农村部耕地质量监测保护中心，北京 100125
³ 宁夏农林科学院农业资源与环境研究所，银川 750002
⁴ 中国农业科学院农田灌溉研究所/农业农村部作物需水与调控重点实验室，河南新乡 453002

收稿日期:2022-11-21 接受日期:2022-12-31 出版日期:2023-11-01 发布日期:2023-11-06
通信作者:
龙怀玉，E-mail：longhuaiyu@caas.cn
联系方式: 周雷，E-mail：zhoulei12312311@163.com。
基金资助:
第三次新疆综合科学考察项目-塔里木河流域土地开发与农业资源调查(2021xjkk0200); 科技基础性工作专项项目(2014FY110200A07); 宁夏耕地可持续利用与农田生产力提升技术研究与示范项目

Analysis of the Characteristics and Influencing Factors of Soil Particle Composition in Ningxia

ZHOU Lei¹(), QU XiaoLin², ZHOU Tao³, MA ChangBao², LI JianBing², LONG HuaiYu¹(), XU AiGuo¹, ZHANG RenLian¹, LI Ge⁴

¹ State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China (the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences), Beijing 100081
² Cultivated Land Quality Monitoring and Protection Center, Ministry of Agriculture and Rural Affairs, Beijing 100125
³ Institute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002
⁴ Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Water Use and Regulation, Ministry of Agriculture and Rural Affairs, Xinxiang 453002, Henan

Received:2022-11-21 Accepted:2022-12-31 Published:2023-11-01 Online:2023-11-06

摘要/Abstract

摘要：

【目的】明确宁夏地区土壤颗粒组成的特点及其影响因素，从而为当地的土地利用、农业生产规划等提供科学参考。【方法】根据114个点位的土壤颗粒组成测试数据，研究宁夏地区环境因素对土壤颗粒组成的影响，土壤颗粒组成、土壤质地类型、土壤控制层段颗粒大小的统计学特征，以及土壤颗粒组成的空间分布特征。【结果】（1）宁夏土壤的颗粒组成以砂粒和粉粒为主，土壤砂粒、粉粒和黏粒含量分别为2.4%—97.2%、0.8%—86.0%和0.7%—43.3%，平均含量分别为34.9%、49.6%和15.5%；土壤质地主要以粉壤土（占46.5%）、砂壤土（占17.6%）和壤土（占13.3%）为主，土壤质地类型的变异主要归因于砂粒和粉粒含量的变化。（2）多个环境因素共同影响了宁夏地区土壤颗粒组成，影响力从大到小依次为地貌、母质、小地形、热量、土壤类型、土地利用类型和风速。（3）控制层段的颗粒大小有11种类型，以壤质（占46.5%）、黏壤质（占19.3%）、砂质（占16.7%）为主。（4）宁夏地区很难发育出黏化层，在114个剖面中有26个黏粒含量符合黏化层，但只有2个是确切的黏化层。（5）宁夏灌於表层产生了明显的质地分异。【结论】宁夏土壤颗粒组成以砂粒和粉粒为主，地貌和母质是影响土壤颗粒组成的最主要因素。

关键词: 土壤颗粒组成, 因素分析, 土壤质地, 黏化层诊断, 灌淤表层, 宁夏

Abstract:

【Objective】The aim of this study was to clarify the characteristics and influencing factors of soil particle composition in Ningxia, so as to provide the scientific reference for local land use and agricultural production planning.【Method】Based on the soil particle composition test data at 114 sites in Ningxia, the effects of environmental factors on soil particle composition, the statistical characteristics of soil particle composition, soil texture type, particle size of soil control layer, and the spatial distribution characteristics of soil particle composition were studied.【Result】(1) The content of sand, silt and clay in Ningxia soil were 2.4%-97.2%, 0.8%-86.0% and 0.7%-43.3%, respectively, and the average content were 34.9%, 49.6% and 15.5%, respectively; Soil texture was mainly composed of silty loam (46.5%), sandy loam (17.6%) and loam (13.3%), and the variation of soil texture types was mainly attributed to the change of sand and silt content. (2) A number of environmental factors jointly affect the soil particle composition in Ningxia, and the influential factors were geomorphic factors, parental material type factors, small topographic factors, thermal factors, soil type factors, land use type factors and wind speed factors in turn from large to small. (3) There were 11 types of particle sizes in the control interval, among which loamy (46.5%), clay (19.3%) and sandy (16.7%) were the main ones. (4) It was difficult to develop argic horizon in Ningxia. Among 114 sections, 26 clay particles were consistent with cohesive layer, but only 2 were exact argic horizon. (5) Siltigic epipedon of Ningxia produced obvious texture differentation.【Conclusion】The soil particle composition in Ningxia was mainly sand and silt, while landform and parental material were the most important factors affecting the particle composition.

Key words: soil particle composition, factor analysis, soil texture, diagnosis of argic horizon, siltigic epipedon, Ningxia

周雷, 曲潇琳, 周涛, 马常宝, 李建兵, 龙怀玉, 徐爱国, 张认连, 李格. 宁夏土壤颗粒组成特点及其影响因素分析[J]. 中国农业科学, 2023, 56(21): 4272-4287.

ZHOU Lei, QU XiaoLin, ZHOU Tao, MA ChangBao, LI JianBing, LONG HuaiYu, XU AiGuo, ZHANG RenLian, LI Ge. Analysis of the Characteristics and Influencing Factors of Soil Particle Composition in Ningxia[J]. Scientia Agricultura Sinica, 2023, 56(21): 4272-4287.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2023.21.011

https://www.chinaagrisci.com/CN/Y2023/V56/I21/4272

图/表 15

图1

图2

表1

表2

图3

表3

表4

表5

表6

表7

表8

表9

表10

表11

图4

参考文献 59

[1]	MOHAMMADI M, SHABANPOUR M, MOHAMMADI M H, DAVATGAR N. Characterizing spatial variability of soil textural fractions and fractal parameters derived from particle size distributions. Pedosphere, 2019, 29(2): 224-234. doi: 10.1016/S1002-0160(17)60425-9
[2]	ZUO F L, LI X Y, YANG X F, WANG Y, MA Y J, HUANG Y H, WEI C F. Soil particle-size distribution and aggregate stability of new reconstructed purple soil affected by soil erosion in overland flow. Journal of Soils and Sediments, 2020, 20(1): 272-283. doi: 10.1007/s11368-019-02408-1
[3]	ANTINORO C, BAGARELLO V, FERRO V, GIORDANO G, IOVINO M. A simplified approach to estimate water retention for Sicilian soils by the Arya-Paris model. Geoderma, 2014, 213: 226-234. doi: 10.1016/j.geoderma.2013.08.004
[4]	KOME G K, ENANG R K, TABI F O, YERIMA B P K. Influence of clay minerals on some soil fertility attributes: A review. Open Journal of Soil Science, 2019, 9(9): 155-188. doi: 10.4236/ojss.2019.99010
[5]	RUEHLMANN J. Soil particle density as affected by soil texture and soil organic matter: 1. Partitioning of SOM in conceptional fractions and derivation of a variable SOC to SOM conversion factor. Geoderma, 2020, 375: 114542. doi: 10.1016/j.geoderma.2020.114542
[6]	ZHANG J H, LI G D, DING S Y, TIAN H W, REN X J, LIU M, ZHENG Y P. Distribution characteristics of soil particles and their relationships with soil organic carbon components in the alluvial/ sedimentary zone in the lower reaches of the Yellow River. Frontiers in Environmental Science, 2022, 10: 849565. doi: 10.3389/fenvs.2022.849565
[7]	张永萱, 张光辉, 王志强. 黄土剖面土壤颗粒组成对土壤含水量的影响. 水土保持通报, 2009, 29(6): 6-9, 15.
	ZHANG Y X, ZHANG G H, WANG Z Q. Influence of soil particle composition on soil moisture in loess profiles. Bulletin of Soil and Water Conservation, 2009, 29(6): 6-9, 15. (in Chinese)
[8]	WANG J J, HUANG Y F, LONG H Y. Water and salt movement in different soil textures under various negative irrigating pressures. Journal of Integrative Agriculture, 2016, 15(8): 1874-1882. doi: 10.1016/S2095-3119(15)61209-6
[9]	孙梅, 黄运湘, 孙楠, 徐明岗, 王伯仁, 张旭博. 农田土壤孔隙及其影响因素研究进展. 土壤通报, 2015, 46(1): 233-238.
	SUN M, HUANG Y X, SUN N, XU M G, WANG B R, ZHANG X B. Advance in soil pore and its influencing factors. Chinese Journal of Soil Science, 2015, 46(1): 233-238. (in Chinese) doi: 10.1111/ejs.1995.46.issue-2
[10]	季方, 樊自立, 赵虎. 塔里木盆地冲积新成土土壤质地对土壤性状的影响. 土壤, 1999, 31(3): 126-131.
	JI F, FAN Z L, ZHAO H. Influence of soil texture of newly formed alluvial soil on soil properties in Tarim Basin. Soils, 1999, 31(3): 126-131. (in Chinese)
[11]	丁倩. 土壤颗粒组成对生物结皮稳定性的影响及机理[D]. 杨凌: 西北农林科技大学, 2020.
	DING Q. Effect of soil particle composition on water-stability of biological soil crust[D]. Yangling: Northwest A & F University, 2020. (in Chinese)
[12]	郭梦, 吴克宁, 杜凯闯. 新疆地区盐土在中国土壤系统分类中的归属. 土壤通报, 2020, 51(2): 253-262.
	GUO M, WU K N, DU K C. Attribution of saline soils in Xinjiang based on Chinese soil taxonomy. Chinese Journal of Soil Science, 2020, 51(2): 253-262. (in Chinese)
[13]	熊杰, 隋鹏, 石彦琴, 吴雪梅, 张建省, 陈源泉, 高旺盛. 土壤质地对玉米产量的影响. 玉米科学, 2012, 20(1): 128-131.
	XIONG J, SUI P, SHI Y Q, WU X M, ZHANG J S, CHEN Y Q, GAO W S. Effects of different soil textures on maize yield. Journal of Maize Sciences, 2012, 20(1): 128-131. (in Chinese)
[14]	REZA S K, NAYAK D C, MUKHOPADHYAY S, CHATTOPADHYAY T, SINGH S K. Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system. Archives of Agronomy and Soil Science, 2017, 63(11): 1489-1498. doi: 10.1080/03650340.2017.1296134
[15]	EWETOLA E A. Influence of soil texture and compost on the early growth and nutrient uptake of Moringa oleifera Lam. Acta Fytotechnica et Zootechnica, 2019, 22(2): 26-33. doi: 10.15414/afz.2019.22.02.26-33
[16]	BAI L H, ZHANG H, ZHANG J G, LI X, WANG B, MIAO H Z, ALI SIAL T, DONG Q, FU G J, LI L M. Long-term vegetation restoration increases carbon sequestration of different soil particles in a semi-arid desert. Ecosphere, 2021, 12(11): e03848.
[17]	GAO Z Y, NIU F J, LIN Z J, LUO J. Fractal and multifractal analysis of soil particle-size distribution and correlation with soil hydrological properties in active layer of Qinghai-Tibet Plateau, China. Catena, 2021, 203: 105373. doi: 10.1016/j.catena.2021.105373
[18]	李晓佳. 大青山南北坡不同海拔高度表土理化性质研究[D]. 呼和浩特: 内蒙古师范大学, 2008.
	LI X J. Research of surface soil physical and chemical characteristics at different altitude in south and north foot of Daqing Mountain[D]. Hohhot: Inner Mongolia Normal University, 2008. (in Chinese)
[19]	LIU Y D, WU X D, WU T H, ZHAO L, LI R, LI W P, HU G J, ZOU D F, NI J, DU Y Z, WANG M J, LI Z H, WEI X H, YAN X C. Soil texture and its relationship with environmental factors on the Qinghai-Tibet Plateau. Remote Sensing, 2022, 14(15): 3797. doi: 10.3390/rs14153797
[20]	汪建中. 赣东地区土壤颗粒组成的特点. 土壤, 1992, 24(1): 29-32, 40.
	WANG J Z. Characteristics of soil particle composition in east Jiangxi Province. Soils, 1992, 24(1): 29-32, 40. (in Chinese)
[21]	田积莹, 黄义端, 雍绍萍. 黄土地区土壤物理性质及与黄土成因的关系. 水土保持研究, 1987(1): 1-12.
	TIAN J Y, HUANG Y D, YONG S P. The soil physical properties with relation to the loess genesis in the loess region. Research of Soil and Water Conservation, 1987(1): 1-12. (in Chinese)
[22]	张孝中. 黄土高原土壤颗粒组成及质地分区研究. 中国水土保持, 2002(3): 11-13.
	ZHANG X Z. Study on the composition of soil particles and texture zoning of the loess plateau. Soil and Water Conservation in China, 2002(3): 11-13. (in Chinese)
[23]	刘付程, 史学正, 潘贤章, 王洪杰. 苏南典型地区土壤颗粒的空间变异特征. 土壤通报, 2003, 34(4): 246-249.
	LIU F C, SHI X Z, PAN X Z, WANG H J. Characteristics of spatial variability of soil granules in a typical area of southern Jiangsu. Chinese Journal of Soil Science, 2003, 34(4): 246-249. (in Chinese)
[24]	曹媛, 孟明, 王磊, 杨新国, 曲文杰. 宁夏中部干旱带天然草地土壤颗粒空间分布特征. 中国水土保持, 2021(2): 56-59.
	CAO Y, MENG M, WANG L, YANG X G, QU W J. Spatial distribution characteristics of soil particles in natural grassland in the central arid zone of Ningxia. Soil and Water Conservation in China, 2021(2): 56-59. (in Chinese)
[25]	贺静, 吉力力·阿不都外力, 马龙, Galymzhan SAPAROV, Gulnura ISSANOVA. 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. 干旱区研究, 2022, 39(4): 1282-1292.
	HE J, JILILI·ABUDUWAILI, MA L, SAPAROV G, ISSANOVA G. Grain size characteristics and spatial heterogeneity of farmland soils in the Syr Darya River Basin of Kazakhstan. Arid Zone Research, 2022, 39(4): 1282-1292. (in Chinese)
[26]	梁燕菲, 胡辉, 李瑞, 于健龙. 黔中喀斯特地区土壤剖面颗粒组成分析. 农业与技术, 2014, 34(11): 21-22, 30.
	LIANG Y F, HU H, LI R, YU J L. Analysis of particle composition of soil profile in central Guizhou Karst area. Agriculture and Technology, 2014, 34(11): 21-22, 30. (in Chinese)
[27]	REZA S K, KUMAR N, RAMACHANDRAN S, MUKHOPADHYAY S, SINGH S K, DWIVEDI B S, RAY S K. Geo-spatial analysis for horizontal and vertical variability of bulk density, particle-size distribution and soil moisture content in Tripura, Northeastern India. Arabian Journal of Geosciences, 2021, 14(24): 2734. doi: 10.1007/s12517-021-09151-3
[28]	WANG X T, SUN L, ZHAO N N, LI W C, WEI X H, NIU B. Multifractal dimensions of soil particle size distribution reveal the erodibility and fertility of alpine grassland soils in the Northern Tibet Plateau. Journal of Environmental Management, 2022, 315: 115145. doi: 10.1016/j.jenvman.2022.115145
[29]	申哲, 张认连, 龙怀玉, 王转, 朱国龙, 石乾雄, 喻科凡, 徐爱国. 基于3种空间预测方法的黄土区土壤颗粒组成空间分布研究: 以宁夏海原县为例. 中国农业科学, 2020, 53(18): 3716-3728. doi:10.3864/j.issn.0578-1752.2020.18.008.
	SHEN Z, ZHANG R L, LONG H Y, WANG Z, ZHU G L, SHI Q X, YU K F, XU A G. Research on spatial distribution of soil particle size distribution in loess region based on three spatial prediction methods—Taking Haiyuan County in Ningxia as an example. Scientia Agricultura Sinica, 2020, 53(18): 3716-3728. doi:10.3864/j.issn.0578-1752.2020.18.008. (in Chinese)
[30]	DA SILVA CHAGAS C, DE CARVALHO W J, BHERING S B, CALDERANO FILHO B. Spatial prediction of soil surface texture in a semiarid region using random forest and multiple linear regressions. Catena, 2016, 139: 232-240. doi: 10.1016/j.catena.2016.01.001
[31]	LIU F, ROSSITER D G, SONG X D, ZHANG G L, WU H Y, ZHAO Y G. An approach for broad-scale predictive soil properties mapping in low-relief areas based on responses to solar radiation. Soil Science Society of America Journal, 2020, 84(1): 144-162. doi: 10.1002/saj2.v84.1
[32]	FORKUOR G, HOUNKPATIN O K L, WELP G, THIEL M. High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: A comparison of machine learning and multiple linear regression models. PLoS ONE, 2017, 12(1): e0170478.
[33]	龙怀玉, 周涛, 曲潇琳. 中国土系志(中西部卷)宁夏卷. 北京: 龙门书局, 2020.
	LONG H Y, ZHOU T, QU X L. Chinese Soil Series (Midwest Volume) Ningxia Volume. Beijing: Longmen Book Company, 2020. (in Chinese)
[34]	王吉智. 宁夏土壤. 银川: 宁夏人民出版社, 1990.
	WANG J Z. Ningxia Soil. Yinchuan: Ningxia People’s Publishing House, 1990. (in Chinese)
[35]	杨琳, 朱阿兴, 秦承志, 李宝林, 裴韬, 邱维理, 徐志刚. 基于典型点的目的性采样设计方法及其在土壤制图中的应用. 地理科学进展, 2010, 29(3): 279-286.
	YANG L, ZHU A X, QIN C Z, LI B L, PEI T, QIU W L, XU Z G. A purposive sampling design method based on typical points and its application in soil mapping. Progress in Geography, 2010, 29(3): 279-286. (in Chinese) doi: 10.11820/dlkxjz.2010.03.004
[36]	张甘霖, 龚子同. 土壤调查实验室分析方法. 北京: 科学出版社, 2012.
	ZHANG G L, GONG Z T. Soil Survey Laboratory Methods. Beijing: Science Press, 2012. (in Chinese)
[37]	郭彦彪, 戴军, 冯宏, 卢瑛, 贾重建, 陈冲, 熊凡. 土壤质地三角图的规范制作及自动查询. 土壤学报, 2013, 50(6): 1221-1225.
	GUO Y B, DAI J, FENG H, LU Y, JIA C J, CHEN C, XIONG F. Standard mapping of soil textural triangle and automatic query of soil texture classes. Acta Pedologica Sinica, 2013, 50(6): 1221-1225. (in Chinese)
[38]	张世文, 黄元仿, 苑小勇, 王睿, 叶回春, 段增强, 龚关. 县域尺度表层土壤质地空间变异与因素分析. 中国农业科学, 2011, 44(6): 1154-1164. doi:10.3864/j.issn.0578-1752.2011.06.010.
	ZHANG S W, HUANG Y F, YUAN X Y, WANG R, YE H C, DUAN Z Q, GONG G. The spatial variability and factor analyses of top soil texture on a County scale. Scientia Agricultura Sinica, 2011, 44(6): 1154-1164. doi:10.3864/j.issn.0578-1752.2011.06.010. (in Chinese)
[39]	刘友兆, 丁瑞兴. 关于淀积粘化作用. 土壤学进展, 1993, 21(4): 18-23, 27.
	LIU Y Z, DING R X. On deposition adhesion. Advances in Soil Science, 1993, 21(4): 18-23, 27. (in Chinese)
[40]	曹祥会, 龙怀玉, 周脚根, 邱卫文, 雷秋良, 刘颖, 李军, 穆真. 河北省表层土壤有机碳和全氮空间变异特征性及影响因子分析. 植物营养与肥料学报, 2016, 22(4): 937-948.
	CAO X H, LONG H Y, ZHOU J G, QIU W W, LEI Q L, LIU Y, LI J, MU Z. Analysis of spatial variability and influencing factors of topsoil organic carbon and total nitrogen in Hebei Province. Journal of Plant Nutrition and Fertilizer, 2016, 22(4): 937-948. (in Chinese)
[41]	REZA S K, NAYAK D C, CHATTOPADHYAY T, MUKHOPADHYAY S, SINGH S K, SRINIVASAN R. Spatial distribution of soil physical properties of alluvial soils: A geostatistical approach. Archives of Agronomy and Soil Sciences, 2016, 62(7): 972-981.
[42]	SEYEDMOHAMMADI J, NAVIDI M N, ESMAEELNEJAD L. Geospatial modeling of surface soil texture of agricultural land using fuzzy logic, geostatistics and GIS techniques. Communications in Soil Science and Plant Analysis, 2019, 50(12): 1452-1464. doi: 10.1080/00103624.2019.1626870
[43]	SANTRA P, KUMAR M, PANWAR N. Digital soil mapping of sand content in arid western India through geostatistical approaches. Geoderma Regional, 2017, 9: 56-72. doi: 10.1016/j.geodrs.2017.03.003
[44]	姜坤, 秦海龙, 卢瑛, 贾重建, 刘红宜, 崔启超. 广东省不同母质发育土壤颗粒分布的分形维数特征. 水土保持学报, 2016, 30(6): 319-324.
	JIANG K, QIN H L, LU Y, JIA C J, LIU H Y, CUI Q C. Fractal dimension of particle-size distribution for soils derived from different parent materials in Guangdong Province. Journal of Soil and Water Conservation, 2016, 30(6): 319-324. (in Chinese)
[45]	徐加盼, 李继洪, 魏玉杰, 张光辉, 阳邦戈, 蔡崇法. 不同母质类型发育土壤颗粒组成分形特征. 土壤学报, 2020, 57(5): 1197-1205.
	XU J P, LI J H, WEI Y J, ZHANG G H, YANG B G, CAI C F. Fractal characteristics of particle composition for soils developed from different parent materials. Acta Pedologica Sinica, 2020, 57(5): 1197-1205. (in Chinese)
[46]	罗丹竹, 金鑫. 坡面土壤颗粒组成对雨强和坡度变化的响应研究. 水利规划与设计, 2021(6): 107-112.
	LUO D Z, JIN X. Study on the response of soil particle composition on slope to the change of rainfall intensity and slope. Water Resources Planning and Design, 2021(6): 107-112. (in Chinese)
[47]	钟继洪, 张秉刚, 林美莹, 骆伯胜, 谭军. 广东坡地红壤颗粒组成状况的研究: Ⅱ.土壤颗粒组成的空间分异. 热带亚热带土壤科学, 1998, 7(2): 98-101.
	ZHONG J H, ZHANG B G, LIN M Y, LUO B S, TAN J. Rerearch on the characteristics of particle composition of of red soils in Guangdong──ⅱ. The spatial variation of soil particle composition. Ecology and Environmental Sciences, 1998, 7(2): 98-101. (in Chinese)
[48]	杨婷, 景航, 姚旭, 董昌平, 由政, 薛萐. 黄土丘陵不同土地利用方式下土壤颗粒组成及其分形维数特征. 水土保持研究, 2016, 23(3): 1-5, 24.
	YANG T, JING H, YAO X, DONG C P, YOU Z, XUE S. Soil particle composition and its fractal dimension characteristics of different land uses in loess hilly region. Research of Soil and Water Conservation, 2016, 23(3): 1-5, 24. (in Chinese)
[49]	张海廷, 时延庆. 山东省不同土地利用方式土壤颗粒组成及其分形维数特征. 水土保持研究, 2018, 25(1): 126-131, 138.
	ZHANG H T, SHI Y Q. Soil particle-size distribution and fractal dimension of different land use types in Shandong Province. Research of Soil and Water Conservation, 2018, 25(1): 126-131, 138. (in Chinese)
[50]	颜安, 李周晶, 武红旗, 温鹏飞. 不同耕作年限对耕地土壤质地和有机碳垂直分布的影响. 水土保持学报, 2017, 31(1): 291-295.
	YAN A, LI Z J, WU H Q, WEN P F. Effect of cultivation years on vertical distribution of soil texture and organic carbon. Journal of Soil and Water Conservation, 2017, 31(1): 291-295. (in Chinese)
[51]	冯学民, 蔡德利. 土壤温度与气温及纬度和海拔关系的研究. 土壤学报, 2004, 41(3): 489-491.
	FENG X M, CAI D L. Soil temperature in relation to air temperature, altitude and latitude. Acta Pedologica Sinica, 2004, 41(3): 489-491. (in Chinese)
[52]	李新华. 影响新疆南部地区环境变化的因素分析. 干旱区研究, 2012, 29(3): 534-540.
	LI X H. Analyses on factors affecting ecological environment change in south Xinjiang. Arid Zone Research, 2012, 29(3): 534-540. (in Chinese)
[53]	张之一, 辛刚. 黑龙江省土壤温度与气温和纬度及海拔的相关关系//中国土壤学会第十次全国会员代表大会暨第五届海峡两岸土壤肥料学术交流研讨会文集(面向农业与环境的土壤科学专题篇), 2004: 341-344.
	ZHANG Z Y, XIN G. Correlation between soil temperature and air temperature, latitude and altitude in Heilongjiang Province//The 10th National Geological Society of China Collected Papers of the General Assembly and the Fifth Cross Strait Symposium on Soil and Fertilizer (Special Topics on Soil Science for Agriculture and Environment), 2004: 341-344. (in Chinese)
[54]	韩春兰, 余无忌, 刘金宝, 付小梅, 赵丽婷. 中国年均地温的估算方法研究. 土壤学报, 2017, 54(2): 354-366.
	HAN C L, YU W J, LIU J B, FU X M, ZHAO L T. Methods for estimation of mean annual soil temperature in China. Acta Pedologica Sinica, 2017, 54(2): 354-366. (in Chinese)
[55]	康婷, 夏孟瑶. 新疆地区降水量与气温、海拔的空间关系分析. 重庆理工大学学报(自然科学), 2017, 31(7): 119-123.
	KANG T, XIA M Y. Spatial relationship analysis on temperature, altitude and precipitation in Xinjiang region. Journal of Chongqing University of Technology (Natural Science), 2017, 31(7): 119-123. (in Chinese)
[56]	张甘霖, 王秋兵, 张凤荣, 吴克宁, 蔡崇法, 章明奎, 李德成, 赵玉国, 杨金玲. 中国土壤系统分类土族和土系划分标准. 土壤学报, 2013, 50(4): 826-834.
	ZHANG G L, WANG Q B, ZHANG F R, WU K N, CAI C F, ZHANG M K, LI D C, ZHAO Y G, YANG J L. Criteria for establishment of soil family and soil series in Chinese soil taxonomy. Acta Pedologica Sinica, 2013, 50(4): 826-834. (in Chinese)
[57]	祝迎春. 二阶聚类模型及其应用. 市场研究, 2005(1): 40-42.
	ZHU Y C. Twostep cluster model and its application. Marketing Research, 2005(1): 40-42. (in Chinese)
[58]	王吉智. 宁夏引黄灌区的灌淤土. 土壤学报, 1984, 21(4): 434-437.
	WANG J Z. Irrigating warped soil in irrigation area of the Yellow River in Ningxia autonomous region. Acta Pedologica Sinica, 1984, 21(4): 434-437. (in Chinese)
[59]	史成华, 龚子同. 我国灌淤土的形成和分类. 土壤学报, 1995, 32(4): 437-448.
	SHI C H, GONG Z T. Formation and classification of warplc soils in China. Acta Pedologica Sinica, 1995, 32(4): 437-448. (in Chinese)

土壤层次 Soil layer	粒级 Soil particle	样本数 Sample number	最小值 Minimum (%)	最大值 Maximum (%)	平均值 Mean (%)	标准差 Standard deviation (%)	极差 Range (%)	偏度 Skewness	峰度 Kurtosis	变异系数 CV (%)	K-S检验P值 K-S P value
A	砂粒Sand	114	2.4	97.2	40.3	24.23	94.80	0.42	-0.94	60.17	0.11
	粉粒Silt	114	0.8	86.0	46.0	19.22	85.20	-0.31	-0.40	41.83	0.08
	黏粒Clay	114	1.2	43.3	13.8	9.98	42.10	1.04	0.35	72.42	0.16
B	砂粒Sand	102	3.9	96.3	34.3	20.90	92.40	1.07	0.70	61.02	0.12
	粉粒Silt	102	2.5	78.6	50.3	17.21	76.10	-0.82	0.24	34.19	0.09
	黏粒Clay	102	0.7	39.7	15.4	9.22	39.00	0.70	-0.09	59.75	0.13

土壤层次 Soil layer	粒级 Soil particle	理论模型 Theoretical model	块金值 Block gold value (C0)	偏基台值 Partial abutment value（C）	基台值 Abutment value (C0+C)	空间相关度 Spatial relevance C0/(C0+C)	主变程 Main variable range
A	砂粒Sand	指数模型 Exponential models	395.69	232.86	628.55	0.63	0.57
	粉粒 Silt	稳定模型 Stable models	140.04	243.07	383.11	0.37	1.05
	黏粒 Clay	三角函数 Trigonometric function	78.73	20.04	98.77	0.80	0.45
B	砂粒 Sand	稳定模型 Stable models	280.95	193.77	474.72	0.59	1.57
	粉粒 Silt	指数函数 Exponential models	229.39	85.55	314.94	0.73	1.92
	黏粒 Clay	三角函数 Trigonometric function	39.77	33.74	73.51	0.54	0.53

土壤层次 Soil layer	母质类型 Parental material type	样本数 Sample number	砂粒 Sand (%)	粉粒 Silt (%)	黏粒 Clay (%)
A	黄土母质Aeolian parent material	50	40.75a	48.49ab	10.76b
	水运积母质 Alluvial and lacustrine parent materials	34	47.28a	40.58b	12.14b
	坡、残积母质 Slope and residual parent material	15	42.06a	43.73ab	14.21b
	灌淤母质 Irrigation silting parent material	12	17.23b	53.89a	28.88a
B	黄土母质Aeolian parent material	47	34.63ab	53.31a	12.05b
	水运积母质 Alluvial and lacustrine parent materials	29	38.59a	45.45a	15.95b
	坡、残积母质 Slope and residual parent material	10	32.09ab	51.24a	16.66b
	灌淤母质 Irrigation silting parent material	12	21.05b	52.67a	26.28a

土壤层次 Soil layer	土壤类型 Soil group	样本数 Sample number	砂粒 Sand (%)	粉粒 Silt (%)	黏粒 Clay (%)
A	灰钙土Sierozems	31	52.45b	38.97b	8.59de
	黄绵土Loessial soils	20	29.78c	58.60ab	11.63bcde
	灌淤土Irrigation silting soils	12	17.23c	53.89ab	28.88a
	灰褐土Gray-cinnamon soils	10	26.71c	54.05ab	19.24b
	潮土Fluvo-aquic soils	9	34.91bc	48.72ab	16.37bcd
	黑垆土Black loessial soils	6	24.20c	65.10a	10.70cde
	风沙土Aeolian sandy soil	5	77.61a	18.50c	3.89e
	盐土 Solonchak	4	28.45c	54.27ab	17.28bc
B	灰钙土Sierozems	30	31.35ab	55.98a	12.68bc
	黄绵土Loessial soils	20	34.07ab	51.54a	14.41abc
	灌淤土Irrigation silting soils	12	26.89b	50.68a	22.45a
	灰褐土Gray-cinnamon soils	10	38.38ab	49.10a	12.51bc
	潮土Fluvo-aquic soils	8	34.00ab	44.80a	21.25ab
	黑垆土Black loessial soils	6	45.02ab	43.72a	11.27c
	风沙土Aeolian sandy soil	4	52.30a	37.45a	10.28c
	盐土Solonchak	4	28.58ab	51.55a	19.83abc

土壤层次 Soil layer	地貌 Landforms	样本数 Sample number	砂粒含量 Sand (%)	粉粒含量 Silt (%)	黏粒含量 Clay (%)
A	平原Plain	42	38.85ab	43.78ab	17.37a
	丘陵Hill	18	50.39a	40.98ab	8.63b
	山地Mountain land	41	34.62b	53.05a	12.33ab
	风蚀地貌Wind-erosion landform	10	52.45a	35.54b	12.02ab
B	平原Plain	37	31.47b	48.80ab	19.73a
	丘陵Hill	19	50.39a	40.28b	9.33b
	山地Mountain land	37	27.41b	58.30a	14.29ab
	风蚀地貌Wind-erosion landform	5	36.97ab	48.05ab	14.99ab

宁夏土壤颗粒组成特点及其影响因素分析

Analysis of the Characteristics and Influencing Factors of Soil Particle Composition in Ningxia

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 59

相关文章 15

Metrics

本文评价

推荐阅读 0

土壤层次 Soil layers	地形部位 Terrain	样本数 Sample number	砂粒 Sand (%)	粉粒 Silt (%)	黏粒 Clay (%)
A	坡地Slope-land	59	41.54a	47.11a	11.34a
A	平地Flat ground	52	39.07a	44.74a	16.18a
B	坡地Slope-land	52	35.75a	51.02a	13.23a
B	平地Flat ground	46	31.78a	50.33a	17.90a

土壤层次 Soil layer	土地利用方式 Land use pattern	样本数 Sample number	砂粒 Sand (%)	粉粒 Silt (%)	黏粒 Clay (%)
A	耕地Farmland	26	26.67a	50.68a	22.65a
	荒地Wasteland	82	45.04a	44.41a	10.54b
	林地Forestland	3	31.92a	49.09a	18.99ab
B	耕地Farmland	26	26.48a	51.26a	22.26a
	荒地Wasteland	70	36.46a	50.69a	12.85b
	林地Forestland	2	40.10a	43.61a	16.29ab

土壤层次 Soil layer	皮尔逊相关性 Pearson correlation	H (m)	E (mm)	AT (℃)	SH (h)	RH (%)	R (mm)	D (d)	AAD (d)	AAT (℃)	WV (m.s^-1)
A	砂粒含量Sand (%)	-0.13	0.33**	0.19*	0.30**	-0.30**	-0.26**	0.15	0.20*	0.20*	0.06
	粉粒含量Silt (%)	0.22*	-0.33**	-0.26**	-0.32**	0.28**	0.30**	-0.24**	-0.29**	-0.27**	0.06
	黏粒含量Clay (%)	-0.1	-0.18	0.04	-0.13	0.21*	0.05	0.1	0.03	0.03	-0.28**
B	砂粒含量Sand (%)	-0.24*	0.38**	0.29**	0.39**	-0.32**	-0.36**	0.30**	0.27**	0.30**	0.02
	粉粒含量Silt (%)	0.37**	-0.34**	-0.38**	-0.40**	0.27**	0.42**	-0.43**	-0.37**	-0.40**	0.17
	黏粒含量Clay (%)	-0.15	-0.20*	0.08	-0.14	0.24*	0.04	0.13	0.1	0.07	-0.38**

初始特征值Initial eigenvalue		提取载荷平方和Extract the sum of squares of the loads
成分 Constituent	总计 Total	方差百分比 Percentage of variance	累积 Cumulative (%)	总计 Total	方差百分比 Percentage of variance	累积 Cumulative (%)
1	7.59	75.88	75.88	7.59	75.88	75.88
2	2.01	20.07	95.95	2.01	20.07	95.95
3	0.33	3.25	99.20
4	0.08	0.80	100.00

成分矩阵 Component matrix	成分1 Constituents1	成分2 Constituents 2
年≥10 ℃的平均天数The average number of days ≥10 ℃ per year	0.988	-0.145
降水量Precipitation	-0.979	-0.155
年均温Average annual temperature	0.969	-0.226
年≥10 ℃积温平均值The average accumulated temperature of the annual≥10 ℃	0.964	-0.208
干燥度Dryness	0.956e	-0.093
海拔Elevation	-0.923	0.366
年日照时数Annual sunshine hours	0.919	0.366
蒸发量Evaporation	0.787	0.591
相对湿度Relative humidity	-0.543	-0.796
风速Wind velocity	-0.509	0.780

土壤层次 Soil layer	皮尔逊相关性 Pearson correlation	热量因素 Heat factor	风速因素 Wind speed factor
A	砂粒平均含量 Average sand content	0.25**	0.21*
	粉粒平均含量 Average silt content	-0.35**	-0.10
	黏粒平均含量 Average clay content	0.06	-0.31**
B	砂粒平均含量 Average sand content	-0.11	-0.27**
	粉粒平均含量 Average silt content	-0.03	0.32**
	黏粒平均含量 Average clay content	0.30**	0.01

[1]	申哲,张认连,龙怀玉,徐爱国. 基于机器学习方法的宁夏南部土壤质地空间分布研究[J]. 中国农业科学, 2022, 55(15): 2961-2972.
[2]	李红燕,薛军,王永宏,王克如,赵如浪,明博,张镇涛,张文杰,李少昆. 宁夏玉米机械粒收适宜时期研究与预测模型构建[J]. 中国农业科学, 2022, 55(12): 2324-2337.
[3]	王西娜,于金铭,谭军利,张佳群,魏照清,王朝辉. 宁夏引黄灌区春小麦氮磷钾需求及化肥减施潜力[J]. 中国农业科学, 2020, 53(23): 4891-4903.
[4]	钟亮,郭熙,国佳欣,韩逸,朱青,熊杏. 基于数据挖掘技术的高光谱土壤质地分类研究[J]. 中国农业科学, 2020, 53(21): 4449-4459.
[5]	申哲,张认连,龙怀玉,王转,朱国龙,石乾雄,喻科凡,徐爱国. 基于3种空间预测方法的黄土区土壤颗粒组成空间分布研究—以宁夏海原县为例[J]. 中国农业科学, 2020, 53(18): 3716-3728.
[6]	辛晓平,丁蕾,程伟,朱晓昱,陈宝瑞,刘钟龄,何广礼,青格勒,杨桂霞,唐华俊. 北方草地及农牧交错区草地植被碳储量及其影响因素[J]. 中国农业科学, 2020, 53(13): 2757-2768.
[7]	盛月凡,王海燕,乔鈜元,王玫,陈学森,沈向,尹承苗,毛志泉. 不同土壤质地对平邑甜茶幼苗连作障碍程度的影响[J]. 中国农业科学, 2019, 52(4): 715-724.
[8]	任小丽，刘澳星，李想，张旭，王雅春，邵怀峰，秦春华，王瑜，温万，张胜利. 用随机回归模型估计宁夏地区荷斯坦牛头胎测定日产奶量遗传参数[J]. 中国农业科学, 2017, 50(10): 1885-1892.
[9]	肖婧，徐虎，蔡岸冬，黄敏，张琪，孙楠，张文菊，徐明岗. 生物质炭特性及施用管理措施对作物产量影响的整合分析[J]. 中国农业科学, 2017, 50(10): 1827-1837.
[10]	钟守琴，刘波，魏朝富，胡斐南. 紫色泥岩土壤＜2 mm岩屑及其对抗剪强度的作用机制[J]. 中国农业科学, 2015, 48(23): 4846-4858.
[11]	吴焕焕12, 吕家珑2, 段英华1, 张文菊1, 徐明岗1. 激光衍射法测定中国典型土壤颗粒分布的模型建立与验证[J]. 中国农业科学, 2013, 46(20): 4293-4300.
[12]	翟清云, 张娟娟, 熊淑萍, 刘娟, 杨阳, 马新明. 基于不同土壤质地的小麦叶片氮含量高光谱差异及监测模型构建[J]. 中国农业科学, 2013, 46(13): 2655-2667.
[13]	李春轩, 罗毅, 包安明, 张艳, 杨传杰, 崔林林. 基于对数比转换的成分数据空间插值研究[J]. 中国农业科学, 2012, 45(4): 648-655.
[14]	. 县域尺度表层土壤质地空间变异与因素分析 [J]. 中国农业科学, 2011, 44(6): 1154-1164 .
[15]	李潮海,王小星,王群,郝四平. 不同质地土壤玉米根际生物活性研究[J]. 中国农业科学, 2007, 40(2): 412-418 .