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近40年来陕西省耕层土壤pH的时空变化特征

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王洪1, 2,,
曹婧1, 2,
毋俊华1, 2,
陈怡平1,,
1.中国科学院地球环境研究所/黄土与第四纪地质国家重点实验室 西安 710061
2.中国科学院大学 北京 100049
基金项目: 国家重点研发计划项目2017YFD0800500

详细信息
作者简介:王洪, 主要研究方向为土壤生态学。E-mail: wanghong@ieecas.cn
通讯作者:陈怡平, 主要研究方向为生态学。E-mail: lifesci@ieecas.cn
中图分类号:S159.9

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出版历程

收稿日期:2020-09-25
录用日期:2021-03-20
网络出版日期:2021-06-22
刊出日期:2021-06-01

Spatial and temporal variability in soil pH of Shaanxi Province over the last 40 years

WANG Hong1, 2,,
CAO Jing1, 2,
WU Junhua1, 2,
CHEN Yiping1,,
1. Institute of Earth Environment, Chinese Academy of Sciences/State Key Laboratory of Loess and Quaternary Geology, Xi'an 710061, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
Funds: the National Key R & D Program of China2017YFD0800500

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Corresponding author:CHEN Yiping, E-mail: lifesci@ieecas.cn


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摘要
摘要:以陕西省耕层土壤为研究对象,利用1980s第2次土壤普查数据和2017年的705个样点分析数据,基于地统计学和ArcGIS分析耕层土壤pH时空变化特征,并采用相关分析和方差分析方法探讨其影响因素,对于陕西农业可持续发展及生态环境保护具有极其重要的意义。结果表明,陕北、关中及陕南地区耕层土壤pH均值依次为8.25、7.91、6.25,分别为弱碱性、弱碱性和弱酸性;各行政区耕层土壤pH排列顺序为延安>榆林>铜川>咸阳>渭南>西安>宝鸡>商洛>安康>汉中。时间上,与1980s相比,陕北和关中耕层土壤呈碱化趋势,陕南耕层土壤呈酸化趋势;各行政区除榆林、安康、汉中和商洛耕层土壤呈酸化趋势,其余各市耕层土壤均呈碱化趋势。空间上,陕北和陕南耕层土壤pH拟合的最优半方差函数模型为线性模型,关中耕层土壤pH拟合的最优半方差函数模型为高斯模型,均表现出较强的空间相关性。陕北耕层土壤pH空间分布呈零星斑状特征,关中和陕南耕层土壤pH空间分布呈东部高于西部特征。坡向、海拔与陕西省耕层土壤pH显著相关,坡度越小,海拔越高,pH越大,不同类型的土壤pH存在差异。建议陕北和关中地区防治土壤盐碱化问题,陕南地区防治土壤酸化问题,以促进农业可持续发展和保障区域粮食安全。
关键词:陕西省/
耕层土壤pH/
空间相关性/
地形/
土壤类型
Abstract:Rapid development of the economy has increased the occurrence of declining cultivated land quality, such as acidification and salinization in China. To provide a scientific basis for adjustment of topsoil pH and to realize the rational use of land resources in Shaanxi Province, this study examined pH of 705 topsoil samples from Shaanxi Province using a soil/water ratio of 2.5/1 in 2017 and incorporated soil pH data from the second national soil survey in 1980s. The spatio-temporal changes and classification characteristics were analyzed via ArcGIS, and the influencing factors were investigated by correlation analysis and analysis of variance methods. General statistical analysis and normality tests were performed in Excel 2016 and SPSS 22.0; and the GS+9.0 software was adopted to obtain the best fitting model. The ordinary Kriging method was used for spatial interpolation analysis and mapping. The study is important for sustainable agriculture development and ecological environment protection in Shaanxi Province. The results showed that pH values of farmland soil in northern Shaanxi, Guanzhong, and southern Shaanxi were 8.25, 7.91, and 6.25, respectively, and the corresponding levels were 5 (alkalescence), 5 (alkalescence), and 3 (weak acidity), respectively. The order of soil pH in the administrative regions was Yan'an > Yulin > Tongchua > Xianyang > Weinan > Xi'an > Baoji > Shangluo > Ankang > Hanzhong. The topsoil pH in Hanzhong City showed moderate variation, whereas the other cities in Shaanxi Province showed weak variation. Compared with the 1980s, the farmland soil in northern Shaanxi and Guanzhong showed an alkalization trend, whereas the surface soil in southern Shaanxi showed an acidification trend. In the administrative regions, the topsoil in Yulin, Ankang, Hanzhong, and Shangluo showed an acidification trend, and the soil in other cities showed an alkalization trend. The optimal fitting semi-variance function model of farmland soil pH in northern and southern Shaanxi was a linear model, and the optimal fitting semi-variance function model of farmland soil pH in Guanzhong was a Gaussian model; both showed strong spatial correlation. Furthermore, the topsoil pH in northern Shaanxi was primarily influenced by structural factors, whereas the topsoil pH in Guanzhong and southern Shaanxi was influenced by structural and random factors. The spatial distribution characteristics of topsoil pH were sporadic in northern Shaanxi, and that in Guanzhong and southern Shaanxi was higher in the east than in the west. Changes in soil pH were affected by natural and human factors, such as topography, soil type, climate, and fertilization. Slope and elevation were significantly (P < 0.05) correlated with topsoil pH in Shaanxi Province; lower slopes and higher altitudes had higher soil pH. To promote sustainable agriculture development and regional food security, soil salinization should be prevented in northern Shaanxi and Guanzhong and acidification should be prevented in southern Shaanxi.
Key words:Shaanxi Province/
Topsoil pH/
Spatial correlation/
Topography/
Soil type

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图1采样点地理位置
Figure1.Location of sampling points


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图21980s和2017年陕西省耕层土壤pH分级占比特征
Figure2.Fractional proportion characteristics of topsoil pH in Shaanxi Province in 2017 and 1980s


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图3陕西省陕北(a)、关中(b)和陕南(c)耕层土壤pH空间分布特征
Figure3.Spatial distribution characteristics of topsoil pH in Shanbei (a), Guanzhong (b) and Shannan (c) areas of Shaanxi Province


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表1陕西省土壤pH分级标准
Table1.Grading standard of soil pH in Shaanxi Province
强酸性
Strong acidity
酸性
Acidity
弱酸性
Weak acidity
中性
Neutral
弱碱性
Alkalescence
碱性
Alkalinity
强碱性
Strong basicity
等级Level1234567
pH< 4.54.6~5.55.6~6.56.6~7.57.6~8.58.6~9> 9.1


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表2陕西省1987—2017年肥料用量
Table2.Fertilizer application rates in Shaanxi Province during 1987?2017 ?104 t
年份
Year
氮肥
Nitrogen fertilizer
磷肥
Phosphate fertilizer
钾肥
Potassium fertilizer
复合肥
Compound fertilizer
化肥
Chemical fertilizer
198733.005.500.704.4043.60
199048.6010.102.306.9067.90
200073.0016.898.1733.25131.19
201087.6717.9819.9954.63196.79
201790.0218.6424.2699.24232.15


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表3陕西省各市耕层土壤pH含量描述统计
Table3.Description of soil pH in cities of Shaanxi Province
区域
Region

City
数量
Number
最小值
Minimum value
最大值
Maximum value
平均值
Mean
标准偏差
SD
变异系数
CV (%)
等级
Level
陕北
Shanbei
延安Yan’an1017.908.728.32a0.192.305
榆林Yulin1577.688.528.21b0.161.905
关中
Guanzhong
铜川Tongchuan207.688.378.12bc0.22.505
渭南Weinan667.098.818.00c0.354.305
西安Xi’an226.858.657.91cd0.435.405
咸阳Xianyang467.778.298.03c0.131.605
宝鸡Baoji576.948.277.73d0.273.505
陕南
Shannan
安康Ankang475.167.796.42f0.619.503
汉中Hanzhong1274.306.986.00g0.6911.503
商洛Shangluo625.377.516.64e0.477.104
不同小写字母表示不同城市间差异显著(P < 0.05)。Different lowercase letters mean significant differences among cities at P < 0.05 level.


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表4陕西省耕层土壤pH空间自相关性检验
Table4.Test of soil pH autocorrelation in Shaanxi Province
区域
Area
莫兰指数
Moran’s I
预期指数
Expect I
方差
Variance
ZP
陕北Shanbei0.073?0.0040.0013.4370.001
关中Guanzhong0.331?0.0050.0027.8170.000
陕南Shannan0.230?0.0040.00014.2570.000


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表5陕西省耕层土壤pH最优半变异模型及相应参数
Table5.Semivariogram models and relative parameters of soil pH in Shaanxi Province
区域
Area
模型
Model
块金值
C0
基台值
C0+C
块金系数
C0/(C0+C)
变程
Range (km)
残差
Residual error
拟合优度
R2
陕北Shanbei线型Linear0.0300.0330.103217.962.79E-050.86
关中Guanzhong高斯Gussian0.0660.1960.661428.682.98E-040.96
陕南Shannan线型Linear0.3390.5350.365245.550.01360.80


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表6陕西省不同土壤类型耕地土壤pH含量变化特征
Table6.Statistical characteristics of soil pH in different soil types
坡度分级
Level of slope
样本数
Number
最小值
Minimum value
最大值
Maximum value
平均数
Mean
标准偏差
SD
变异系数
CV (%)
酸碱度
Acidity-basicity
Ⅰ级Level 1883.888.817.87a0.7910.1弱碱性Alkalescence
Ⅱ级Level 21464.538.677.48b0.9713.0中性Neutral
Ⅲ级Level 31694.318.667.50b1.0413.9中性Neutral
Ⅳ级Level 41284.468.657.43b1.0714.4中性Neutral
Ⅴ级Level 51734.078.727.13c1.0114.2中性Neutral
不同小写字母表示不同坡度间差异显著(P < 0.05)。Different lowercase letters mean significant differences among different levels of slope at P < 0.05 level.


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表7陕西省耕层土壤pH与地形因子的相关分析
Table7.Correlation analysis of soil pH and topographic factors in Shaanxi Province
坡向Aspect坡度Slope海拔Attitude
pH0.032?0.231**0.453**
**: 相关性在0.01尾上显著(双尾)。**: significant correlation at P < 0.01 level (double tail).


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表8陕西省不同海拔梯度耕地土壤pH变化特征
Table8.Statistical characteristics of soil pH in different altitude gradients
海拔梯度
Altitude gradient (m)
样本数
Number
最小值
Minimum value
最大值
Maximum value
平均数
Mean
标准偏差
SD
变异系数
CV (%)
酸碱度
Acidity-basicity
< 5001105.398.817.32b0.9012.2中性Neutral
500~8002123.888.406.68c1.0215.2中性Neutral
800~10001184.308.727.52b1.0313.7弱碱性Alkalescence
1000~12001314.078.678.08a0.556.8弱碱性Alkalescence
> 12001336.138.658.03a0.506.2弱碱性Alkalescence
不同小写字母表示不同海拔梯度间差异显著(P < 0.05)。Different lowercase letters mean significant differences among different altitude gradients at P < 0.05 level.


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表9陕西省不同土壤类型耕地土壤pH含量变化特征
Table9.Statistical characteristics of soil pH in different soil types
土壤类型
Soil type
样本数
Number
最小值
Minimum value
最大值
Maximum value
平均数
Mean
标准偏差
SD
变异系数
CV (%)
酸碱度
Acidity-basicity
棕壤Brown earth76.137.676.880.669.50中性Neutral
沼泽土Swamp soil183.887.685.830.9916.90弱酸性Weak acid
黄褐土Yellow cinnamon soil425.147.796.360.599.40弱酸性Weak acid
黑垆土Black lossial soil237.718.488.090.182.20弱碱性Alkalescence
新积土Newly deposited soil695.678.677.940.597.40弱碱性Alkalescence
土Tier soil635.928.817.950.486.00弱碱性Alkalescence
紫色土Purple soil35.887.126.460.629.70弱酸性Weak acid
粗骨土Coarse bone soil304.078.447.011.0515.00中性Neutral
石质土Stony soil36.158.397.471.1715.70中性Neutral
水稻土Paddy soil55.966.846.500.335.10中性Neutral
珊瑚砂土Coral soil395.448.657.660.8310.80弱碱性Alkalescence
黄棕壤Yellow brown soil1124.307.516.140.7312.00弱酸性Weak acid
黄绵土Loessial soil2066.018.728.130.334.00弱碱性Alkalescence
褐土Cinnamon soil235.378.316.910.8912.90中性Neutral
潮土Fluvo soil106.108.477.870.759.60弱碱性Alkalescencee
风沙土Aeolian soil187.928.528.260.151.80弱碱性Alkalescence


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