Evaluation of black soil quality in Sanjiang Plain based on minimum data set: Taking the plain area of Baoqing County in Heilongjiang Province as an example

HE Jinbao; ZHAO Jian; LIU Hongbo; LIU Bowen; KONG Fanpeng

doi:10.12097/gbc.2022.06.014

2024 Vol. 43, No. 10

Article Contents

Article navigation > Geological Bulletin of China > 2024 > 43(10): 1841-1854

Next Article Previous Article

HE Jinbao, ZHAO Jian, LIU Hongbo, LIU Bowen, KONG Fanpeng. 2024. Evaluation of black soil quality in Sanjiang Plain based on minimum data set: Taking the plain area of Baoqing County in Heilongjiang Province as an example. Geological Bulletin of China, 43(10): 1841-1854. doi: 10.12097/gbc.2022.06.014

Citation:

HE Jinbao, ZHAO Jian, LIU Hongbo, LIU Bowen, KONG Fanpeng. 2024. Evaluation of black soil quality in Sanjiang Plain based on minimum data set: Taking the plain area of Baoqing County in Heilongjiang Province as an example. Geological Bulletin of China, 43(10): 1841-1854. doi: 10.12097/gbc.2022.06.014

Evaluation of black soil quality in Sanjiang Plain based on minimum data set: Taking the plain area of Baoqing County in Heilongjiang Province as an example

Mudanjiang Natural Resources Comprehensive Survey Center, China Geological Survey, Mudanjiang 157000, Heilongjiang, China

More Information

Corresponding author: KONG Fanpeng, 315706831@qq.com

Received Date: 07 June 2022

Revised Date: 08 October 2023

Publish Date: 15 October 2024

Abstract

Abstract

Soil quality evaluation is the key to the implementation of fine agricultural production and land scientific management. Evaluating the soil quality under different land use patterns and mapping its spatial distribution can provide a basis for optimizing the spatial layout of land use, objectively and accurately evaluating soil quality and scientifically managing land resources. In this study, the black soil in Baoqing Plain was taken as the research object, and 31 evaluation indexes were selected as the total data set (TDS). Principal component analysis (PCA) and correlation analysis were used to determine the minimum data set (MDS) of soil quality evaluation for different land use types. By using geostatistical methods, the spatial distribution map of soil quality was drawn based on the ordinary Kriging interpolation method. The results showed that there were significant differences in soil quality under different land use patterns. The overall performance of soil quality was grassland > forest land > dry land > paddy field. The model with Gaussian semi−variogram function was most suitable for predicting the spatial distribution of soil quality. The spatial distribution of soil quality showed a certain regularity. The closer to the northern Naoli River Basin, the better the soil quality. Most of the soil quality was in the middle and upper level, and the production potential was large.
- black land /
- land use type /
- minimum data set /
- geostatistics /
- semi-variogram

FullText(HTML)

References

[1]	Armenise E, Redmile−Gordon M A, Stellacci A M, et al. 2013. Developing a soil quality index to compare soil fitness for agricultural use under different managements in the Mediterranean environment[J]. Soil and Tillage Research, 130: 91−98. doi: 10.1016/j.still.2013.02.013 CrossRef Google Scholar
[2]	Abdel−Fattah M K, Mohamed E S, Wagdi E M, et al. 2021. Quantitative evaluation of soil quality using Principal Component Analysis: The case study of El−Fayoum depression Egypt[J]. Sustainability, 13(4): 1824. doi: 10.3390/su13041824 CrossRef Google Scholar
[3]	Bünemann E K, Bongiorno G, Bai Z, et al. 2018. Soil quality–A critical review[J]. Soil Biology and Biochemistry, 120: 105−125. doi: 10.1016/j.soilbio.2018.01.030 CrossRef Google Scholar
[4]	Chandel S, Hadda M S, Mahal A K. 2018. Soil quality assessment through minimum data set under different land uses of submontane Punjab[J]. Communications in Soil Science and Plant Analysis, 49(6): 658−674. doi: 10.1080/00103624.2018.1425424 CrossRef Google Scholar
[5]	Deng S H, Zeng L T, Guan Q, et al. 2016. Minimum dataset−based soil quality assessment of waterlogged paddy field in South China[J]. Acta Pedologica Sinica, 53(5): 1326−1333 (in Chinese with English abstract). Google Scholar
[6]	Gong L, Zhang X N, Ran Q Y. 2015. Quality assessment of oasis soil in the upper reaches of Tarim River based on minimum data set[J]. Acta Pedologica Sinica, 52(3): 682−689 (in Chinese with English abstract). Google Scholar
[7]	Hani A, Pazira E, Manshouri M, et al. 2010. Spatial distribution and mapping of risk elements pollution in agricultural soils of southern Tehran, Iran[J]. Plant, Soil and Environment, 56(6): 288−296. Google Scholar
[8]	Han X Z, Li N. 2018a. Research progress of black soil in Northeast China[J]. Scientia Geographica Sinica, 38(7): 1032−1041 (in Chinese with English abstract). Google Scholar
[9]	Han X Z, Zhou W X. 2018b. Effects and suggestions of black soil protection and soil fertility increase in Northeast China[J]. Bulletin of Chinese Academy of Sciences, 33(2): 206−212 (in Chinese with English abstract). Google Scholar
[10]	Jiang M, Xu L, Chen X, et al. 2020. Soil quality assessment based on a minimum data set: a case study of a county in the typical river delta wetlands[J]. Sustainability, 12(21): 9033. doi: 10.3390/su12219033 CrossRef Google Scholar
[11]	Li G L, Chen J, Tan M Z, et al. 2008. Establishment of a minimum dataset for soil quality assessment based on land use change[J]. Acta Pedologica Sinica, (1): 16−25 (in Chinese with English abstract). Google Scholar
[12]	Li X, Li H, Yang L, et al. 2018. Assessment of soil quality of croplands in the Corn Belt of Northeast China[J]. Sustainability, 10(1): 248. doi: 10.3390/su10010248 CrossRef Google Scholar
[13]	Lou Y B, Shi D M, Jiang G Y, et al. 2019. Evaluation of soil quality in the cultivated−layer of sloping farmland in purple hilly area based on minimum data set[J]. Science of Soil and Water Conservation, 17(5): 75−85 (in Chinese with English abstract). Google Scholar
[14]	Liao C, Wang D W, Tang L, et al. 2021. Construction of soil nutrient comprehensive evaluation system based on minimum data set in Chengdu Plain[J]. Earth and Environment, 49(2): 189−197 (in Chinese with English abstract). Google Scholar
[15]	Li B Y, Li H, Guo X N, et al. 2021. Evaluation of soil quality of cultivated land in Ningxia area based on minimum data set[J]. Jiangsu Agricultural Sciences, 49(9): 195−201 (in Chinese with English abstract). Google Scholar
[16]	Ministry of Ecology and Environment. 2018. Soil environmental quality risk control standard for soil contamination of agricultural land (Trial)(GB 15618-2018)[S]. Beijing: China Environment Press (in Chinese). Google Scholar
[17]	Mei N, Gu Y, Li D Z, et al. 2021. Soil quality evaluation in topsoil layer of black soil in Jilin Province based on minimum data set[J]. Transactions of the Chinese Society of Agricultural Engineering, 37(12): 91−98 (in Chinese with English abstract). Google Scholar
[18]	Miao S J, Zhao H F, Qiao Y F, et al. 2019. Assessment of tillage effects on soil quality for aeolian sandy soil in northeast China with tilth index[J]. Soil and Fertilizer Sciences in China, (4): 9−15 (in Chinese with English abstract). Google Scholar
[19]	Mulat Y, Kibret K, Bedadi B, et al. 2021. Soil quality evaluation under different land use types in Kersa sub−watershed, eastern Ethiopia[J]. Environmental Systems Research, 10: 1−11. doi: 10.1186/s40068-020-00196-z CrossRef Google Scholar
[20]	National Soil Survey Office. 1998. Chinese Soil[M]. Beijing: China Agricultural Press (in Chinese). Google Scholar
[21]	Song Y H, Yang F C, Liu K, et al. 2022. A multivariate statistical analysis of the distribution and influencing factors of heavy metal elements in the cultivated land of the Sanjiang Plain[J]. Geophysical and Geochemical Exploration, 46(5): 1064−1075 (in Chinese with English abstract). Google Scholar
[22]	Tan M Z, Mi S X, Li K L, et al. 2011. Influence of elevation factor on soil profile texture configuration: a case study of the alluvial plain of Fengqiu County[J]. Acta Ecologica Sinica, 31(8): 2060−2067 (in Chinese with English abstract). Google Scholar
[23]	Tan Y, Chen H, Lian K, et al. 2020. Comprehensive evaluation of cultivated land quality at county scale: A case study of Shengzhou, Zhejiang Province, China[J]. International Journal of Environmental Research and Public Health, 17(4): 1169. doi: 10.3390/ijerph17041169 CrossRef Google Scholar
[24]	Wang X, Gong Z. 1998. Assessment and analysis of soil quality changes after eleven years of reclamation in subtropical China[J]. Geoderma, 81(3/4): 339−355. doi: 10.1016/S0016-7061(97)00109-2 CrossRef Google Scholar
[25]	Wang S H, Tian Y. 2003. Preliminary research on groundwater table change and causes in San−jiang Plain[J]. Journal of Irrigation and Drainage, (2): 61−64 (in Chinese with English abstract). Google Scholar
[26]	Wang Y Y, Yang Z F, Yu T. 2011. Research progress of soil quality evaluation[J]. Journal of Anhui Agricultural Sciences, 39(36): 22617−22622, 22657 (in Chinese with English abstract). Google Scholar
[27]	Wu H Y, Jin R D, Fan Z W, et al. 2018. Assessment of fertility quality of black soil based on principal component and cluster analysis[J]. Journal of Plant Nutrition and Fertilizers, 24(2): 325−334 (in Chinese with English abstract). Google Scholar
[28]	Wang W W, Zhu W Z, Li X, et al. 2021. Soil quality assessment of typical vegetation in dry and warm valley of Dadu River based on minimum data set[J]. Science of Soil and Water Conservation, 19(6): 54−59 (in Chinese with English abstract). Google Scholar
[29]	Xi X H, Chen G G, Zhang D C, et al. 2014. Specification of Multi-Purpose Regional Geochemical Survey (1: 250000 ) (DZ/T0258-2014)[S]. Beijing: Standards Press of China (in Chinese). Google Scholar
[30]	Xu M X. 2003. Soil quality evolvement mechanism in the process of ecosystem restoration and its management in Loess hilly−gully region[D]. PhD Thesis of Northwest A&F University: 60−72. (in Chinese with English abstract). Google Scholar
[31]	Yang Z F, Yu T, Li M, et al. 2016. Specification of land quality geochemical assessment(DZ/T0295-2016)[S]. Beijing: Geological Press (in Chinese). Google Scholar
[32]	Yang L M, Li X Y, Ren Y X, et al. 2019. Soil quality evaluation of cultivated land in Changchun City based on minimum dataset[J]. Jiangsu Agricultural Sciences, 47(20): 305−310 (in Chinese with English abstract). Google Scholar
[33]	Yang Z Q, Qin F C, Yu X J, et al. 2019. Construction of artificial forest soil quality evaluation indices in the feldspathic sandstone region based on minimum data set[J]. Chinese Journal of Soil Science, 50(5): 1072−1078 (in Chinese with English abstract). Google Scholar
[34]	Yin M, Wang S M, Ye J Y, et al. 2006. The specification of testing quality management for geological laboratories(DZ/T 0130-2006)[S]. Beijing: Standards Press of China (in Chinese). Google Scholar
[35]	Zhang J, He C, Chen L, et al. 2018. Improving food security in China by taking advantage of marginal and degraded lands[J]. Journal of Cleaner Production, 171: 1020−1030. doi: 10.1016/j.jclepro.2017.10.110 CrossRef Google Scholar
[36]	Zhang F P, Gao Z, Li X J, et al. 2019. Soil quality assessment of kiwifruit field using MDS method in Zhouzhi County[J]. Journal of Ecology and Rural Environment, 35(1): 69−75 (in Chinese with English abstract). Google Scholar
[37]	Zhao Q G, Sun B, Zhang T L. 1997. Soil quality and sustainable environment I. Definition and evaluation method of soil quality[J]. Soils, (3): 113−120 (in Chinese). Google Scholar
[38]	Zhuo Z Q, Li Y, Gou Y X, et al. 2021. Quality evaluation and obstacle diagnosis of plough horizon based on minimum data set in dry farming region of Northeast China[J]. Transactions of the Chinese Society for Agricultural Machinery, 52(9): 321−330 (in Chinese with English abstract). Google Scholar
[39]	邓绍欢, 曾令涛, 关强, 等. 2016. 基于最小数据集的南方地区冷浸田土壤质量评价[J]. 土壤学报, 53(5): 1326−1333. Google Scholar
[40]	贡璐, 张雪妮, 冉启洋. 2015. 基于最小数据集的塔里木河上游绿洲土壤质量评价[J]. 土壤学报, 52(3): 682−689. Google Scholar
[41]	韩晓增, 李娜. 2018a. 中国东北黑土地研究进展与展望[J]. 地理科学, 38(7): 1032−1041. Google Scholar
[42]	韩晓增, 邹文秀. 2018b. 我国东北黑土地保护与肥力提升的成效与建议[J]. 中国科学院院刊, 33(2): 206−212. Google Scholar
[43]	李桂林, 陈杰, 檀满枝, 等. 2008. 基于土地利用变化建立土壤质量评价最小数据集[J]. 土壤学报, (1): 16−25. doi: 10.3321/j.issn:0564-3929.2008.01.003 CrossRef Google Scholar
[44]	娄义宝, 史东梅, 蒋光毅, 等. 2019. 基于最小数据集的紫色丘陵区坡耕地耕层土壤质量评价[J]. 中国水土保持科学, 17(5): 75−85. Google Scholar
[45]	廖程, 王德伟, 唐亮, 等. 2021. 基于最小数据集的成都平原某区土壤养分综合评价体系的构建[J]. 地球与环境, 49(2): 189−197. Google Scholar
[46]	李百云, 李慧, 郭鑫年, 等. 2021. 基于最小数据集的宁夏耕地土壤质量评价[J]. 江苏农业科学, 49(9): 195−201. Google Scholar
[47]	苗淑杰, 赵红飞, 乔云发, 等. 2019. 基于耕作指数评价耕作措施对东北风沙土耕层土壤质量的影响[J]. 中国土壤与肥料, (4): 9−15. Google Scholar
[48]	梅楠, 谷岩, 李德忠, 等. 2021. 基于最小数据集的吉林省黑土耕层土壤质量评价[J]. 农业工程学报, 37(12): 91−98. Google Scholar
[49]	全国土壤普查办公室. 1998. 中国土壤[M]. 北京: 中国农业出版社. Google Scholar
[50]	生态环境部. 2018.《土壤环境质量农用地土壤污染风险管控标准(试行)》(GB 15618—2018)[S]. 北京: 中国环境出版社. Google Scholar
[51]	宋运红, 杨凤超, 刘凯, 等. 2022. 三江平原耕地土壤重金属元素分布特征及影响因素的多元统计分析[J]. 物探与化探, 46(5): 1064−1075. Google Scholar
[52]	檀满枝, 密术晓, 李开丽, 等. 2011. 冲积平原区高程因子对土壤剖面质地构型的影响——以封丘县为例[J]. 生态学报, 31(8): 2060−2067. Google Scholar
[53]	王韶华, 田园. 2003. 三江平原地下水埋深变化及成因的初步分析[J]. 灌溉排水学报, (2): 61−64. doi: 10.3969/j.issn.1672-3317.2003.02.016 CrossRef Google Scholar
[54]	汪媛媛, 杨忠芳, 余涛. 2011. 土壤质量评价研究进展[J]. 安徽农业科学, 39(36): 22617−22622, 22657. doi: 10.3969/j.issn.0517-6611.2011.36.154 CrossRef Google Scholar
[55]	吴海燕, 金荣德, 范作伟, 等. 2018. 基于主成分和聚类分析的黑土肥力质量评价[J]. 植物营养与肥料学报, 24(2): 325−334. doi: 10.11674/zwyf.17225 CrossRef Google Scholar
[56]	王文武, 朱万泽, 李霞, 等. 2021. 基于最小数据集的大渡河干暖河谷典型植被土壤质量评价[J]. 中国水土保持科学, 19(6): 54−59. Google Scholar
[57]	许明祥. 2003. 黄土丘陵区生态恢复过程中土壤质量演变及调控[D]. 西北农林科技大学博士学位论文: 60−72. Google Scholar
[58]	奚小环, 陈国光, 张德存, 等. 2014. 《多目标区域地球化学调查规范(1∶250 000)》(DZ/T0258—2014)[S]. 北京: 中国标准出版社. Google Scholar
[59]	尹明, 王苏明, 叶家喻, 等. 2006. 《地质矿产实验室测试质量管理规范》(DZ/T 0130—2006)[S]. 北京: 中国标准出版社. Google Scholar
[60]	杨忠芳, 余涛, 李敏, 等. 2016. 《土地质量地球化学评价规范》(DZ/T0295—2016)[S]. 北京: 地质出版社. Google Scholar
[61]	杨黎敏, 李晓燕, 任永星, 等. 2019. 基于最小数据集的长春市耕地土壤质量评价[J]. 江苏农业科学, 47(20): 305−310. Google Scholar
[62]	杨振奇, 秦富仓, 于晓杰, 等. 2019. 基于最小数据集的砒砂岩区人工林地土壤质量评价指标体系构建[J]. 土壤通报, 50(5): 1072−1078. Google Scholar
[63]	赵其国, 孙波, 张桃林. 1997. 土壤质量与持续环境Ⅰ. 土壤质量的定义及评价方法[J]. 土壤, (3): 113−120. doi: 10.3321/j.issn:0253-9829.1997.03.001 CrossRef Google Scholar
[64]	张福平, 高张, 李肖娟, 等. 2019. 基于最小数据集的周至县猕猴桃园地土壤质量评价[J]. 生态与农村环境学报, 35(1): 69−75. Google Scholar
[65]	卓志清, 李勇, 勾宇轩, 等. 2021. 基于最小数据集的东北旱作区耕层质量评价与障碍诊断[J]. 农业机械学报, 52(9): 321−330. doi: 10.6041/j.issn.1000-1298.2021.09.036 CrossRef Google Scholar