曲周县农田土壤有效微量元素含量空间变异特征及影响因素初探
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摘要
以河北省邯郸市曲周县为研究区域,采用地统计学与地理信息系统相结合的方法,对曲周县农田土壤有效微量元素铁(Fe)、锰(Mn)、铜(Cu)、锌(Zn)含量的空间变异特征及其主要影响因素进行了初步研究和探讨。结果表明:土壤有效Fe、Mn含量的最优理论模型为指数型(R2为0.887和0.553),有效Cu含量为球状模型(R2为0.988),有效Zn含量为高斯模型(R2为0.977)。土壤有效微量元素含量的空间变异程度和空间相关性由大到小依次为:Zn> Cu> Mn> Fe,Fe> Zn> Mn> Cu。从空间分布来看,土壤有效Fe、Mn、Zn含量主要处于低水平,并且土壤有效Fe、Mn、Cu含量以片状分布为主,土壤有效Zn含量呈现由西向东逐渐递减的趋势。土壤有效Fe、Mn、Cu、Zn含量与土壤有机质含量均呈极显著正相关,与土壤pH间没有显著的相关,而土壤有效Cu含量则与土壤pH间存在显著正相关。总体而言,曲周农田土壤有效Fe,Mn,Zn含量相对较低,而有效铜含量相对较高。如果种植对铁锌敏感而且需求量相对较高的作物,应该考虑Fe、Zn肥的施用。
Based on the combination of GIS and geo-statistics analysis methods, the spatial distribution characteristics of soil available micronutrients including Fe, Mn, Cu, and Zn in Quzhou were analyzed. The theoretical semi-variogram models of soil available Fe and Mn concentrations matched with Exponential model(R2= 0.887 and0.553, respectively). The best fitting models of soil available Cu and Zn concentrations were spherical model(R2=0.988) and Gaussisn model(R2= 0.977), respectively. The degree of spatial variation and spatial correlation of soil available micronutrients were in the order of Zn > Cu > Mn > Fe, and Fe > Zn > Mn > Cu. The concentrations of soil available Fe, Mn and Zn were at the relatively lower levels and spatially distributed mainly in patchy. And the concentration of soil available Zn was gradually decreased from west to east of Quzhou. The concentrations of soil available Fe, Mn, Cu and Zn were positively correlated with soil organic matter, while the concentration of soil available Cu was correlated with soil pH. In summary, the concentrations of soil available Fe, Mn and Zn in Quzhou are at relatively lower levels, while the concentration of soil available Cu is relatively higher. If the crops are sensitive to Fe and Zn and have relatively higher demands for them, the application of Fe and Zn fertilizers should be considered.
Based on the combination of GIS and geo-statistics analysis methods, the spatial distribution characteristics of soil available micronutrients including Fe, Mn, Cu, and Zn in Quzhou were analyzed. The theoretical semi-variogram models of soil available Fe and Mn concentrations matched with Exponential model(R2= 0.887 and0.553, respectively). The best fitting models of soil available Cu and Zn concentrations were spherical model(R2=0.988) and Gaussisn model(R2= 0.977), respectively. The degree of spatial variation and spatial correlation of soil available micronutrients were in the order of Zn > Cu > Mn > Fe, and Fe > Zn > Mn > Cu. The concentrations of soil available Fe, Mn and Zn were at the relatively lower levels and spatially distributed mainly in patchy. And the concentration of soil available Zn was gradually decreased from west to east of Quzhou. The concentrations of soil available Fe, Mn, Cu and Zn were positively correlated with soil organic matter, while the concentration of soil available Cu was correlated with soil pH. In summary, the concentrations of soil available Fe, Mn and Zn in Quzhou are at relatively lower levels, while the concentration of soil available Cu is relatively higher. If the crops are sensitive to Fe and Zn and have relatively higher demands for them, the application of Fe and Zn fertilizers should be considered.
引文
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[11]刘忠珍,刘世亮,刘芳,等.不同磷含量对石灰性潮土吸附,解吸有效性锌的影响[J].河南农业大学学报, 2006, 39(4):472-476.
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[13]张峰,杜群,葛宏立,等.基于地统计学和CFI样地的浙江省森林碳空间分布研究[J].生态学报, 2012, 32(16):5275-5286.
[14]史利江,郑丽波,柳云龙.农田土壤养分空间变异特征研究[J].河南农业大学学报, 2008,(1):51-56, 70.
[15]臧振峰,南忠仁,王胜利,等.黑河中游绿洲农田土壤微量元素含量的空间分布特征[J].干旱区资源与环境, 2013, 27(5):190-195.
[16]苏伟,聂宜民,胡晓洁,等.利用Kriging插值方法研究山东龙口北马镇农田土壤养分的空间变异[J].安徽农业大学学报, 2004,(1):76-81.
[17]李杰,翟亮,桑会勇,等. PM_(2.5)浓度插值中不同空间插值方法对比[J].测绘科学, 2016, 41(4):50–54, 101.
[18]胡良晨.利用克里金插值研究中国大陆地壳变形特征[J].科学技术创新, 2018,(13):10-11.
[19]王超,王纪华,陆安祥,等.土壤重金属分布空间插值方法的优选———以湖南某地土壤重金属Cd的分布为例[J].吉林农业,2015,(21):74-75.
[20]王雪梅,柴仲平,毛东雷,等.库车县土壤微量元素空间变异特征分析[J].西南农业学报, 2015, 28(4):1746-1751.
[21]温金祥,宇振荣,韩纯儒,等.曲周县水资源持续利用的对策研究[J].莱阳农学院学报, 1995,(3):177-181.
[22]田淑敏,周颖,宇振荣.基于GIS的土地质量评价———以河北省曲周县为例[J].中国农业资源与区划, 2002,(3):19-23.
[23]鲍士旦.土壤农化分析[M].北京:中国农业出版社, 2000.
[24]郭军玲,吴士文,金辉,等.农田土壤微量元素含量的空间变异特征和影响因素[J].水土保持学报, 2010, 24(1):145-149, 158.
[25]赵业婷,常庆瑞,李志鹏,等. 1983-2000年西安市郊区耕地土壤有机质空间特征与变化[J].农业工程学报, 2013, 29(2):132-140,296.
[26]吕凯一.耕地土壤养分时空变异及其影响因素分析[D].杭州|:浙江大学, 2018.
[27]罗新宁,朱友娟,张宏勇,等.塔里木绿洲种植制度对棉田土壤养分性状的影响[J].干旱地区农业研究, 2012, 30(3):114-118, 129.
[28]陈涛,常庆瑞,刘京,等.黄土高原南麓县域耕地土壤速效养分时空变异[J].生态学报, 2013, 33(2):554-564.
[29]马扶林,宋理明,王建民.土壤微量元素的研究概述[J].青海科技,2009, 16(3):32-36.
[2] CAKMAK I. Possible roles of zinc in protecting plant cells from damage by reactive oxygen species[J]. New Phytologist, 2000, 146(2):185-205.
[3]姜雯,赵明,樊堂群,等.粮食作物锌的吸收运转分配和改善子粒锌含量的理论与技术途径[J].中国土壤与肥料, 2006,(4):10-15.
[4]徐晓燕,杨肖娥,杨玉爱.锌从土壤向食物链的迁移[J].广东微量元素科学, 1996,(7):21-29.
[5]金亚波,韦建玉,王军.植物铁营养研究进展Ⅰ:生理生化[J].安徽农业科学, 2007,(32):10215-10219.
[6]韦建玉,金亚波,杨启港,等.植物铁营养研究进展Ⅱ:铁运输与铁有关的分子生物学基础[J].安徽农业科学, 2007,(33):10589-10593, 10595.
[7]刘成明,秦煊南.铁锰元素对温州蜜柑光合生理的影响及营养诊断研究[J].西南农业大学学报, 1996,(1):29-33.
[8]陈德远,孟赐福,吴益伟,等.红壤旱地多熟制分带轮作的增产培肥效应[J].耕作与栽培, 1996,(2):10-12.
[9]刘桂兰.微量元素对植物生长发育的作用[J].现代农村科技,2009,(3):55.
[10]傅炳森,孙爱德.土壤-玉米体系微量营养元素锰、锌、铜、铁的分布特征[J].山东化工, 2018, 47(21):74-76.
[11]刘忠珍,刘世亮,刘芳,等.不同磷含量对石灰性潮土吸附,解吸有效性锌的影响[J].河南农业大学学报, 2006, 39(4):472-476.
[12] MALAKOUTI M J. The effect of micronutrients in ensuring efficient use of macronutrients[J]. Turkish Journal of Agriculture and Forestry,2008, 32(3):215-220.
[13]张峰,杜群,葛宏立,等.基于地统计学和CFI样地的浙江省森林碳空间分布研究[J].生态学报, 2012, 32(16):5275-5286.
[14]史利江,郑丽波,柳云龙.农田土壤养分空间变异特征研究[J].河南农业大学学报, 2008,(1):51-56, 70.
[15]臧振峰,南忠仁,王胜利,等.黑河中游绿洲农田土壤微量元素含量的空间分布特征[J].干旱区资源与环境, 2013, 27(5):190-195.
[16]苏伟,聂宜民,胡晓洁,等.利用Kriging插值方法研究山东龙口北马镇农田土壤养分的空间变异[J].安徽农业大学学报, 2004,(1):76-81.
[17]李杰,翟亮,桑会勇,等. PM_(2.5)浓度插值中不同空间插值方法对比[J].测绘科学, 2016, 41(4):50–54, 101.
[18]胡良晨.利用克里金插值研究中国大陆地壳变形特征[J].科学技术创新, 2018,(13):10-11.
[19]王超,王纪华,陆安祥,等.土壤重金属分布空间插值方法的优选———以湖南某地土壤重金属Cd的分布为例[J].吉林农业,2015,(21):74-75.
[20]王雪梅,柴仲平,毛东雷,等.库车县土壤微量元素空间变异特征分析[J].西南农业学报, 2015, 28(4):1746-1751.
[21]温金祥,宇振荣,韩纯儒,等.曲周县水资源持续利用的对策研究[J].莱阳农学院学报, 1995,(3):177-181.
[22]田淑敏,周颖,宇振荣.基于GIS的土地质量评价———以河北省曲周县为例[J].中国农业资源与区划, 2002,(3):19-23.
[23]鲍士旦.土壤农化分析[M].北京:中国农业出版社, 2000.
[24]郭军玲,吴士文,金辉,等.农田土壤微量元素含量的空间变异特征和影响因素[J].水土保持学报, 2010, 24(1):145-149, 158.
[25]赵业婷,常庆瑞,李志鹏,等. 1983-2000年西安市郊区耕地土壤有机质空间特征与变化[J].农业工程学报, 2013, 29(2):132-140,296.
[26]吕凯一.耕地土壤养分时空变异及其影响因素分析[D].杭州|:浙江大学, 2018.
[27]罗新宁,朱友娟,张宏勇,等.塔里木绿洲种植制度对棉田土壤养分性状的影响[J].干旱地区农业研究, 2012, 30(3):114-118, 129.
[28]陈涛,常庆瑞,刘京,等.黄土高原南麓县域耕地土壤速效养分时空变异[J].生态学报, 2013, 33(2):554-564.
[29]马扶林,宋理明,王建民.土壤微量元素的研究概述[J].青海科技,2009, 16(3):32-36.
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