Distribution Characteristics of Selenium Cultivated Soil and Its Influencing Factors in Hailun County of Heilongjiang Province

doi:10.19657/j.geoscience.1000-8527.2019.05.11

Abstract

Abstract:

Heilongjiang Province is considered to be a region with severe selenium deficiency in China, and the distribution of selenium in soil is extremely uneven. Large-scale selenium-enriched soil was first discovered through agricultural geological surveys in recent years. Through the statistical analysis of soil selenium content in the farming area of Hailun County, the distribution characteristics and influencing factors of soil selenium were discussed, which provided a scientific basis for rational development of local selenium-rich resources. 15,608 surface soil samples of 0-20 cm depth and 976 deep soil samples of 150-200 cm depth were collected in the study area, and chemical indicators such as total selenium content and selenium morphology were analyzed. The soil selenium content in the study area was evaluated according to the national selenium-enriched soil standard. The selenium content in the surface soil was between 0.02-0.87 mg·kg^-1 with the average content 0.29 mg·kg^-1. 93.87% of the soil was selenium-sufficient soil, and 4.9% of the soil was selenium-rich soil. There was almost no potentially selenium deficient or deficient soil. The average content of selenium in different soil types from high to low: paddy soil>black soil>meadow soil>aeolian sandy soil>dark brown soil. Relevant analysis results showed that the main factors affecting soil selenium content in the study area were soil pH, organic matter and soil parent material. The main forms of selenium in soil were organic-bound forms. Total selenium, organic matter and pH were also the main factors affecting the selenium availability.

Key words: soil selenium, parent material, selenium form, available selenium, Hailun County, Heilongjiang Province

CLC Number:

P595
X142

ZHANG Li, LIU Guodong, LÜ Shijia, CUI Yujun, WANG Enbao. Distribution Characteristics of Selenium Cultivated Soil and Its Influencing Factors in Hailun County of Heilongjiang Province[J]. Geoscience, 2019, 33(05): 1046-1054.

Figures/Tables 12

References 32

[1]	吴永尧, 彭振坤, 陈建英, 等. 水稻对环境硒的富集和耐受力研究[J]. 微量元素与健康研究, 1999,16(4):42-44.
[2]	SCHWARZ K, FOLTZS C M. Selenium as an integral part of factor 3 against dietary necrotic liver degeneration[J]. Nutrition, 1999,15(3):255. URL PMID
[3]	ROTRIEK J, POPE A, GATHER H, et al. Selenium: Biochemical role as a component of glutathione peroxides[J]. Science, 1973,179(5):88-90. DOI URL
[4]	夏学齐, 杨忠芳, 薛圆, 等. 黑龙江省松嫩平原南部土壤硒元素循环特征[J]. 现代地质, 2012,26(5):850-858, 864.
[5]	李日邦, 谭见安, 王五一, 等. 提高食物链硒通量防治大骨节病和克山病示范研究[J]. 地理学报, 1999,54(2):158-164.
[6]	戴慧敏, 宫传东, 董北, 等. 东北平原土壤硒分布特征及影响因素[J]. 土壤学报, 2015,52(6):1356-1364.
[7]	迟凤琴, 徐强, 匡恩俊, 等. 黑龙江省土壤硒分布及其影响因素研究[J]. 土壤学报, 2016,53(5):1262-1274.
[8]	尹昭汉, 鞠山见, 马晓丽, 等. 硒(Se)的生物地球化学及其生态效应[J]. 生物学杂志, 1989,8(4):45-50.
[9]	赵妍, 宗良纲, 曹丹, 等. 江苏省典型茶园土壤硒分布特性及其有效性研究[J]. 农业环境科学学报, 2011,30(12):2467-2474.
[10]	杨良策, 李明龙, 杨廷安, 等. 湖北省恩施市表层土壤硒含量分布特征及其影响因素研究[J]. 资源环境与工程, 2015,29(6):825-848.
[11]	李杰, 杨志强, 刘枝刚, 等. 南宁市土壤硒分布特征及其影响因素研究[J]. 土壤学报, 2012,29(6):1012-1020.
[12]	李伟, 李飞, 毕德, 等. 兰州碱性土壤与农产品中硒分布及形态研究[J]. 土壤, 2012,44(4):632-638.
[13]	高宇, 刘志坚. 宁夏长山头富硒区土壤地球化学特征研究[J]. 地球与环境, 2017,45(6):628-633.
[14]	王琪, 刘禹含, 杨景娜, 等. 新疆伊犁土壤硒资源分布及与土壤性质的关系分析[J]. 农业资源与环境学报, 2014,31(6):555-559.
[15]	谭见安. 环境生命元素与克山病 [M]. 北京: 中国医药科技出版社, 1996: 13.
[16]	刘铮. 中国土壤微量元素 [M]. 南京: 江苏科学技术出版社, 1996:21-24.
[17]	程伯容, 鞠山见, 岳淑嫆, 等. 我国东北地区土壤中的硒[J]. 土壤学报, 1980,17(1):55-61.
[18]	DONALD J L. Trace metals in soils, plants and animals[J]. Advances in Agronomy, 1972,24:267-325.
[19]	QIN H B, ZHU J M, LIANG L, et al. The bioavailability of selenium and risk assessment for human selenium poisoning in high-Se areas[J]. Environment International, 2013,52:66-74. DOI URL
[20]	吴文良, 张征, 卢勇, 等. 江西省丰城市“中国生态硒谷”创意产业的发展战略[J]. 农产品加工: 创新版, 2010(3):72-75.
[21]	李晓慧, 高宇, 赵万伏, 等. 宁夏青铜峡农耕土壤硒含量分布特征及其影响因素分析[J]. 农业资源与环境学报, 2018,35(5):422-429.
[22]	黑龙江省土地管理局, 黑龙江省土壤普查办公室. 黑龙江土壤 [M]. 北京: 农业出版社, 1992: 149-179.
[23]	王美珠, 章明奎. 我国部分高硒低硒土壤的成因初探[J]. 浙江农业大学学报, 1996,22(1):89-93.
[24]	MASSCHELEYN P H, DELAUNE R D, PATRICK W H J. Transformations of selenium as affected by sediment oxidation-reduction potential and pH[J]. Environmental Science & Technology, 1990,24(1):91-96. DOI URL
[25]	GISSEL-NIELSEN G, BISBJERG B. The uptake of applied selenium by agriculture plants: 2. The utilization of various selenium compounds[J]. Plant and Soil, 1970,32(2):382-396. DOI URL
[26]	JOHNSSON L. Selenium uptake by plants as a function of soil type, organic matter content and pH[J]. Plant and Soil, 1991,133(1):57-64. DOI URL
[27]	章海波, 骆永明, 吴龙华, 等. 香港土壤研究Ⅱ. 土壤硒的含量、分布及其影响因素[J]. 土壤学报, 2005,42(3):404-410.
[28]	陈林倩, 武丹, 王征, 等. 富硒土壤腐殖质的组成及其对铅的作用研究[J]. 环境工程, 2018,36(6):163-168.
[29]	马风娟, 姬丙艳, 沈骁, 等. 青海东部地区植物富硒特征及影响因素[J]. 安徽农业科学, 2015,43(13):1-4.
[30]	魏然, 侯青叶, 杨忠芳, 等. 江西省鄱阳湖流域根系土硒形态分析及其迁移富集规律[J]. 物探与化探, 2012,36(1):109-113.
[31]	王金达, 于君宝, 张学林, 等. 黄土高原土壤中硒等元素的地球化学特征[J]. 地理科学, 2000,20(5):469-473.
[32]	徐文. 硒的生物有效性及植物对硒的吸收[J]. 安徽农学通报, 2009,15(23):46-47.

硒含量分级	硒含量范围/ (mg·kg^-1)	硒效应	面积比例/%
缺乏	<0.125	缺硒	0.20
边缘	0.125~0.175	硒潜在不足	0.94
适中	0.175~0.4	足硒	93.87
高	0.4~3.0	富硒	4.99
过剩	>3.0	硒中毒	0

硒含量分级	硒含量范围/ (mg·kg^-1)	硒效应	面积比例/%
缺乏	<0.125	缺硒	0.20
边缘	0.125~0.175	硒潜在不足	0.94
适中	0.175~0.4	足硒	93.87
高	0.4~3.0	富硒	4.99
过剩	>3.0	硒中毒	0

地区	平均值/ (mg·kg^-1)	变幅/(mg·kg^-1)	参考文献
黑龙江省海伦市	0.290	0.02~0.87	本文
松嫩平原南部	0.204	0.008~0.660	[4]
黑龙江省	0.147	0.008~0.660	[7]
东北平原	0.184	0.010~5.300	[6]
中国东北	0.108	0.015~0.540	[17]
湖北省恩施州	9.360	2.700~87.300	[19]
江西省丰城市	0.538	0.400~0.990	[20]
中国大陆	0.290	—	[16]
世界	0.200	—	[18]

地区	平均值/ (mg·kg^-1)	变幅/(mg·kg^-1)	参考文献
黑龙江省海伦市	0.290	0.02~0.87	本文
松嫩平原南部	0.204	0.008~0.660	[4]
黑龙江省	0.147	0.008~0.660	[7]
东北平原	0.184	0.010~5.300	[6]
中国东北	0.108	0.015~0.540	[17]
湖北省恩施州	9.360	2.700~87.300	[19]
江西省丰城市	0.538	0.400~0.990	[20]
中国大陆	0.290	—	[16]
世界	0.200	—	[18]

土壤类型	样本数	平均值/ (mg·kg^-1)	变幅/ (mg·kg^-1)	标准差/ (mg·kg^-1)	变异系数/%
黑土	8 557	0.30	0.02~0.87	0.065	21.67
草甸土	6 546	0.29	0.05~0.81	0.078	26.90
水稻土	65	0.36	0.15~0.59	0.094	26.11
暗棕壤	392	0.24	0.12~0.48	0.053	22.08
风沙土	48	0.27	0.22~0.39	0.037	13.70