检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:徐强[1,2] 迟凤琴[1,2] 匡恩俊[2] 张久明[2] 韩锦泽 姚春雨[1,2] 郭喜忠[3] 马晓明[3] 刘彩文[3]
机构地区:[1]东北农业大学,黑龙江哈尔滨150000 [2]黑龙江省农业科学院土壤肥料与环境资源研究所/黑龙江省土壤环境与植物营养重点实验室,黑龙江哈尔滨150086 [3]黑龙江省方正县农业技术推广中心,黑龙江方正150800
出 处:《中国土壤与肥料》2016年第1期18-25,共8页Soil and Fertilizer Sciences in China
基 金:公益性行业(农业)科研专项经费(201303106)
摘 要:为了明确富硒水稻主产县方正县土壤中全硒的含量、分布等特征,以方正县农业土壤为研究对象,运用地统计学和Arc GIS相结合的方法研究土壤全硒含量的空间异质性和分布格局,并探讨硒浓度变异与土壤理化性质之间的关系。结果表明,土壤全硒含量变异函数符合指数模型,空间异质性指数Q=0.125,说明全硒含量的变异主要由结构性因素引起,空间自相关性较强。用普通克里格法(OK法)绘制全县的土壤全硒分布图,发现研究区绝大多数土壤(69.3%)属于足硒土壤,硒含量高值区出现在研究区中部及西南部,而低值区主要分布在研究区东北部。不同土壤类型中,泥炭土全硒含量最高(0.267 mg·kg-1),而沼泽土全硒含量最低(0.153 mg·kg-1);不同土地利用方式下,稻田土全硒含量(0.230 mg·kg-1)略高于旱地土(0.217 mg·kg-1)。影响土壤全硒含量的主要因素为土壤有机碳、粘粒及粉粒含量。Fangzheng county is the main production areas of rice in Heilongjiang Province,which also serves as one of the major producing counties of the enriched-Selenium( Se) rice. In this study,the spatial heterogeneity and the distribution of the soil total selenium and the relationship between selenium concentration variability and geochemical attributes were studied using a combination method of geostatistics and Arc GIS in Fangzheng county. The results showed that the variation function of soil total selenium was fit to a exponential model and the spatial heterogeneity index( Q) was 0. 125,indicating that the variation mainly contributed to the structural factors and there was a strong spatial autocorrelation. The Ordinary Kriging( OK) was used to map the soil total selenium distribution of the whole county. From the map,it showed that the vast majority of the soils( 69. 3%) were sufficient with selenium,and the total soil selenium content was relatively high in the central and the southwest of the study area while low-value areas were mainly located in the northeastern. Among different soil types,peat soil had a relatively high Se content( 0. 267 mg·kg- 1) and bog soil had a relatively low Se content( 0. 153 mg·kg- 1). Considering the land use,paddy soils had a higher Se content( 0. 230 mg·kg- 1) than upland soils( 0. 217 mg·kg- 1). Correlation analysis results showed that soil total organic carbon,clay and silt content were the main factors affecting soil selenium content.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.224.5.46