基于信息熵的耕地土壤养分与环境影响因子空间相关性研究

高浩然; 周勇; 刘甲康; 王丽

doi:10.13961/j.cnki.stbctb.2021.06.030

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基于信息熵的耕地土壤养分与环境影响因子空间相关性研究

试验研究

- 基于信息熵的耕地土壤养分与环境影响因子空间相关性研究
- Spatial Correlation Between Soil Nutrients and Environmental Factors in Cultivated Land Based on Information Entropy
- 水土保持通报 2021年41卷第6期页码：226-236
- 作者机构：
  
  1. 华中师范大学城市与环境科学学院,湖北,武汉,430000
  2. 地理过程分析与模拟湖北省重点实验室,湖北,武汉,430000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“40年来两湖平原耕地质量变化与粮食产能的时空响应机理研究”（D0103）;农业农村部耕地质量等级调查监测评价项目
- DOI：10.13961/j.cnki.stbctb.2021.06.030
  中图分类号： S153.6
- 纸质出版：2021
- 稿件说明：
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高浩然, 周勇, 刘甲康, 等. 基于信息熵的耕地土壤养分与环境影响因子空间相关性研究[J]. 水土保持通报, 2021,41(6):226-236.

Gao Haoran, Zhou Yong, Liu Jiakang, et al. Spatial Correlation Between Soil Nutrients and Environmental Factors in Cultivated Land Based on Information Entropy[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 226-236.
高浩然, 周勇, 刘甲康, 等. 基于信息熵的耕地土壤养分与环境影响因子空间相关性研究[J]. 水土保持通报, 2021,41(6):226-236. DOI： 10.13961/j.cnki.stbctb.2021.06.030.

Gao Haoran, Zhou Yong, Liu Jiakang, et al. Spatial Correlation Between Soil Nutrients and Environmental Factors in Cultivated Land Based on Information Entropy[J]. Bulletin of Soiland Water Conservation, 2021, 41(6): 226-236. DOI： 10.13961/j.cnki.stbctb.2021.06.030.

摘要

[目的] 探究耕地土壤养分含量空间格局及与环境因子的空间相关性，为区域耕地土壤施肥管控及农业生态环境保护等相关工作提供理论依据。[方法] 以湖北省枣阳市耕地为研究对象，选取土壤有机质、全氮、速效钾、缓效钾和有效磷5种土壤养分指标，并收集整理成土母质、土壤类型、土壤pH值、高程（DEM）、地表起伏度、坡度、植被覆盖度指数（NDVI）、平均气温、平均降水量和土地利用方式10种环境影响因子，利用普通克里金插值和信息熵原理，分析每种土壤养分的空间分布特征以及每种土壤养分空间分异特征与环境因子的相关性。[结果] 枣阳市土壤缓效钾空间异质性不明显，全域含量水平较高；其他4种养分均表现出不同程度的空间异质性。信息熵结果表明，5种土壤养分含量空间格局与成土母质、土壤类型和气候因子相关性均较强但相关程度存在差异；地形因子与全氮和有机质含量空间相关性较强，土壤pH值与土壤速效钾、缓效钾和有效磷相关性较强。[结论] 枣阳市土壤养分格局受自然因素影响较强，但相关性指数K值都较低，说明受到人为施肥与农作物消耗以及灌溉排水导致的土壤水化学反应及养分流失的影响。

Abstract

[Objective] The spatial pattern of soil nutrient content in cultivated land and its spatial correlation with environmental factors were studied

in order to provide a theoretical basis for regional cultivated land soil fertilization control and agricultural ecological environmental protection.[Methods] Taking the cultivated land in Zaoyang City of Hubei Province as the research object

five soil nutrient indicators including soil organic matter

total nitrogen

available potassium

slow-acting potassium and available phosphorus were selected

and 10 environmental factors including soil parent materials

soil types

soil pH value

Elevation (DEM)

surface undulation

slope

vegetation coverage index (NDVI)

average temperature

average precipitation

and land use types were collected to analyze the spatial distribution characteristics of each soil nutrient and the correlations between the spatial differentiation characteristics of each soil nutrients and environmental factors by using ordinary Kriging interpolation and information entropy principle.[Results] The spatial heterogeneity of soil slow-acting potassium in Zaoyang City was not obvious

and the content of the whole area was relatively high; the other four nutrients all showed different degrees of spatial heterogeneity. The results of information entropy showed that the spatial patterns of the five soil nutrient contents were strongly correlated with soil-forming parent materials

soil type and climate shadow

but the degree of correlation was different; the topographic factors had a strong spatial correlation with total nitrogen and organic matter contents

and soil pH value. The value had a strong correlation with soil available potassium

slow-acting potassium and available phosphorus.[Conclusion] The soil nutrient pattern in Zaoyang City is strongly affected by natural factors

but the correlation index K value is low

indicating that it is affected by the chemical reaction of soil water and nutrient loss caused by man-made fertilization

crop consumption and irrigation and drainage in the later period.

关键词

Keywords

references

刘娟, 张乃明, 邓洪.勐海县茶园土壤养分状况及肥力质量评价[J].农业资源与环境学报, 2021, 38(1):79-86.

王鹏.基于土壤的宝天曼自然土地质量特征及评价[D].河南开封:河南大学, 2019.

曾迪, 漆智平, 周丹, 等.海南儋州农用地土壤速效磷和速效钾的空间变异[J].热带生物学报, 2018, 9(1):54-60.

Marchetti A C, Piccini R, Francaviglia L M. Spatial distribution of soil organic matter using geostatistics:A key indicator to assess soil degradation status in Central Italy[J]. Pedosphere, 2012, 22(2):230-242.

Cheng Yuting, Li Peng, Xu Guoce, et al. Effects of soil erosion and land use on spatial distribution of soil total phosphorus in a small watershed on the Loess Plateau, China[J]. Soil & Tillage Research, 2018, 184;142-152.

陈洋, 齐雁冰, 王茵茵, 等.秦巴中部山区耕地土壤速效钾空间变异及其影响因素[J].环境科学研究, 2017, 30(2):257-266.

李秀双.秸秆还田与施用钾肥对提升农田土壤钾素肥力的效应研究[D].陕西杨凌:西北农林科技大学, 2016.

Repullo Ruibérriz de Torres Miguel A, Carbonell-Bojollo Rosa M, Moreno-García Manuel, et al. Soil organic matter and nutrient improvement through cover crops in a Mediterranean olive orchard[J]. Soil & Tillage Research, 2021, 210;104977.

Gu Xiaohe, Wang Yancang, Sun Qian, et al. Hyperspectral inversion of soil organic matter content in cultivated land based on wavelet transform[J]. Computers and Electronics in Agriculture, 2019, 167;105053.

Meersmans J B, Van Wesemael, Goidts E, et al. Spatial analysis of soil organic carbon evolution in Belgian croplands and grasslands, 1960-2006[J]. Global Change Biology, 2011, 17(1);466-479.

冯新新, 刘韶华, 宋宇琴, 等.太谷区桃园养分投入、土壤养分状况及其与桃果品质的关系[J].经济林研究, 2021(1):33-40.

张金燕, 毋兆鹏, 于辉, 等.干旱区精河流域绿洲化过程中土壤养分时空变异研究[J].中国农业资源与区划, 2020, 41(2):252-260.

谢仕祺, 林正全, 陈玉蓝, 等.不同土壤调理剂对植烟土壤养分及细菌群落的影响[J].河南农业大学学报, 2021, 55(3):523-530.

邹佳何, 王海燕, 张美娜, 等.温带云冷杉针阔混交林土壤养分的空间分布特征及影响因素[J].应用与环境生物学报, 2021, 27(5):1-10.

金明清, 彭月月, 王佩, 等.四川省盐源县植烟土壤氮磷钾空间变异特征及影响因素[J].土壤, 2016, 48(5):984-991.

张万涛, 许明祥, 李彬彬, 等.复合地貌区农田土壤有机质空间变异特征及其影响因素[J].干旱地区农业研究, 2021, 39(1):175-181, 190.

赵艳玲, 赵彬程, 王鑫, 等.基于地形分区IDW的复垦排土场土壤养分空间分布[J].煤田地质与勘探, 2020, 48(4):199-205.

陈洋, 齐雁冰, 王茵茵, 等.秦巴中部山区耕地土壤速效钾空间变异及其影响因素[J].环境科学研究, 2017, 30(2):257-266.

吴旭东, 季波, 何建龙, 等.控制降水梯度对荒漠草原优势植物叶功能性状及土壤养分的影响[J].生态学报, 2021, 41(7):2719-2727.

张彬, 杨联安, 杨粉莉, 等.基于投影寻踪的土壤养分综合评价及影响因素研究[J].土壤, 2020, 52(6):1239-1247.

杨山, 李小彬, 王汝振, 等.氮水添加对中国北方草原土壤细菌多样性和群落结构的影响[J].应用生态学报, 2015, 26(3):739-746.

张瑞, 戴伟, 庞欢, 等.北京市北运河流域耕地土壤性质空间变异性[J].生态学杂志, 2014, 33(12):3368-3373.

万盼, 胡艳波, 张弓乔, 等.2种不同土地利用方式对山麓耕地土壤养分的影响[J].中南林业科技大学学报, 2019, 39(1):8-14, 19.

王维瑞.不同土地利用方式耕地土壤养分及其推荐施肥[J].安徽农学通报, 2020, 26(21):110-113.

黄天忠, 曹国璠, 赵明书, 等.不同种植模式对油茶林地小气候和土壤养分含量的影响[J].南方农业学报, 2019, 50(11):2512-2518.

邵祥理.基于信息熵理论的我国保费收入结构研究[J].保险研究, 2011(4):22-27.

王新苹, 郝晶杰, 陈玉花, 等.基于信息熵的高楼层电梯费用分摊问题的研究[J].数学的实践与认识, 2018, 48(21):267-272.

李永新, 朱石焕, 余国林.关于最大熵与信息熵之差的上界讨论[J].大学数学, 2010, 26(5):90-92.

吴瑞明, 胡代平.评价系统结构的信息熵方法[J].情报杂志, 2008(11):3-6.

徐鹏程, 王栋.信息熵在水文水资源科学中的研究进展[J].华北水利水电大学学报(自然科学版), 2017, 38(4):71-78.

易晶晶, 陈志和, 杨创鹏, 等.基于信息熵原理的区域用水结构时空演变特征研究[J].水文, 2019, 39(4):12-17.

阳艾利, 黄国和, 孔祥铭, 等.基于最大熵-Copula方法的香溪河流域降雨-径流相关性分析[J].南水北调与水利科技, 2016, 14(1):84-89.

陈彦光, 刘明华.城市土地利用结构的熵值定律[J].人文地理, 2001(4):20-24.

李秀霞, 倪晋仁.土壤侵蚀及其影响因素空间相关性分析[J].地理科学进展, 2009, 28(2):161-166.

李秀霞, 朱伟, 张子豪, 等.基于信息熵的土壤Cr含量空间分布与土地利用空间相关性研究[J].生态与农村环境学报, 2020, 36(11):1437-1443.

李新尧, 孙小舟.鄂北岗地近54年来干湿指数变化[J].南水北调与水利科技, 2015, 13(5):853-857.

徐畅, 彭虹, 夏晶晶.基于SWAT模型的枣阳市滚河流域非点源污染模拟与控制研究[J].水资源与水工程学报, 2019, 30(2):63-70, 80.

李俊颖, 吴克宁, 宋文.农用地土壤重金属空间变异及合理采样数确定[J].中国农业资源与区划, 2020, 41(9):64-71.

Kong Xiangbin, Zhang Fengrong, Wei Qi, et al. Influence of land use change on soil nutrients in an intensive agricultural region of North China[J]. Soil & Tillage Research, 2005, 88(1);85-94.

孙兰香.乙酸铵浸提:火焰光度计法测定土壤速效钾[J].现代农业科技, 2008, 17:199-199.

邓万丽.热硝酸浸提-火焰光度计法测定土壤缓效钾方法的改进[J].现代农业科技, 2020(17):159-160.

崔建宇, 宋建兰, 薛会英, 等. Mehlich3-ICP法快速测定土壤有效磷的研究[J].土壤通报, 2011, 42(2):388-392.

王军, 李仲勤.区域内插点的分布对GPS高程异常的影响[J].测绘与空间地理信息, 2018, 41(7):160-163, 167.

Grunwald S. Multi-criteria characterization of recent digital soil mapping and modeling approaches[J]. Geoderma, 2009, 152(3/4):195-207.

刘旭, 贡璐, 解丽娜.种植模式对阿克苏绿洲农田土壤肥力的影响[J].干旱区资源与环境, 2019, 33(8):100-106.

Song Fangfang, Xu Minggang, Duan Yinghua. et al. Spatial variability of soil properties in red soil and its implications for site-specific fertilizer management[J]. Journal of Integrative Agriculture, 2020, 19(9):2313-2325.

Dai Wanhong, Huang Yao. Relation of soil organic matter concentration to climate and altitude in zonal soils of China[J]. Catena, 2005, 65(1);87-94.

Amrit K, Rajeev K M, Kiranmay S. Mapping spatial distribution of traffic induced criteria pollutants and associated health risks using kriging interpolation tool in Delhi[J]. Journal of Transport & Health, 2020, 18:100879.

Kim Sunyoung, Yi Seonju, Young Seobeum, et al. Ordinary Kriging approach to predicting long-term particulate matter concentrations in seven major Korean cities[J]. Journal of Environmental Toxicology, 2014, 29:e2014012-e2014012.

Dash J P, Sarangi A, Singh D K. Spatial variability of groundwater depth and quality parameters in the national capital territory of Delhi[J]. Environmental Management, 2010, 45(3);640-650.

王宗明, 张柏, 黄素军, 等.基于GIS和信息熵的松嫩平原土地利用结构演化分析:兼论系统无序度、复杂性与多样性[J].农业系统科学与综合研究, 2005(3):196-200.

Shannon C E. A mathematical theory of communication[J]. Bell System Technical Journal, 1948, 27(3):379-423.

徐全智, 吕恕.概率论与数理统计[M].北京:高等教育出版社, 2004.

Meyer W B, Turner B L. Change in Land Use and Land Cover:A Global Perspective(Ⅱ)[M]. London:Cambridge University Press, 1994.

刘焕军, 谢雅慧, 潘越, 等.黑土区田块土壤有机质空间分异及分布研究[J].土壤通报, 2018, 49(6):1445-1451.

武治华, 牛继平.青海省耕层土壤养分含量相关性分析研究[J].安徽农业科学, 2017, 45(23):101-105.

Gu Xiaobo, Cai Huanjie, Fang Heng, et al. Soil hydro-thermal characteristics, maize yield and water use efficiency as affected by different biodegradable film mulching patterns in a rain-fed semi-arid area of China[J]. Agricultural Water Management, 2021, 245;106560.

吴利杰, 于娟, 王成敏, 等.长尺度气候变化下土壤钾素演变规律的研究:以泾河中游将军村黄土剖面为例[J].上海交通大学学报(农业科学版), 2016, 34(1):69-73.

孙笑梅, 闫军营, 程道全, 等.河南省耕地土壤酸碱度状况与酸化土壤治理途径[J].中国农学通报, 2017, 33(24):91-94.

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