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Assessment of Soil Quality of Croplands in the Corn Belt of Northeast China

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  • Xiaoyan Li

    (College of Earth Sciences, Jilin University, Changchun 130012, China)

  • Huiying Li

    (College of Earth Sciences, Jilin University, Changchun 130012, China
    Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Limin Yang

    (College of Earth Sciences, Jilin University, Changchun 130012, China)

  • Yongxing Ren

    (College of Earth Sciences, Jilin University, Changchun 130012, China)

Abstract

The increasing global demands for land resource with increasing population have resulted in occurrence of soil degradation in many regions of the world. Assessment of soil quality has become the basic work for agricultural sustainable development and selecting regional indicators effectively has become very important since there are no standard evaluation methods and universal indicators. In this study, taking the Corn Belt of Northeast China as the study area, seven indicators—obstacle horizon thickness, cation exchange capacity, pH, soil organic matter, total nitrogen, total potassium, and available Fe—were selected to constitute the minimum data set from sixteen indictors of the total data set to assess the soil quality. The soil quality of the study area was dominated by moderate grade, increasing from west to east. The soil quality of Yushu, Changchun and Shuangyang had higher values, and that of Nongan was the lowest. We found that the distribution of cation exchange capacity has a good consistency with the assessment result of the soil quality. Black soils were distributed in the middle part of the study region from north to south and accounted for a higher quality, exactly where the areas of rapid urbanization are located. An ANOVA analysis showed that soil quality in the Corn Belt of Northeast China was greatly affected by topographic factors and agricultural management and climate was not the principal factor affecting soil quality. Though the minimum data set slightly reduced the evaluation accuracy, a large sampling density in our study was able to improve the precision loss that resulted from reducing the number of indicators to a certain extent.

Suggested Citation

  • Xiaoyan Li & Huiying Li & Limin Yang & Yongxing Ren, 2018. "Assessment of Soil Quality of Croplands in the Corn Belt of Northeast China," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:248-:d:127552
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    References listed on IDEAS

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    1. Xiaoyan Li & Huiying Li & Yingnan Zhang & Limin Yang, 2017. "Spatial Patterns and the Regional Differences of Rural Settlements in Jilin Province, China," Sustainability, MDPI, vol. 9(12), pages 1-16, November.
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    Cited by:

    1. Fuqiang Dai & Zhiqiang Lv & Gangcai Liu, 2018. "Assessing Soil Quality for Sustainable Cropland Management Based on Factor Analysis and Fuzzy Sets: A Case Study in the Lhasa River Valley, Tibetan Plateau," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    2. Yingying Xing & Ning Wang & Xiaoli Niu & Wenting Jiang & Xiukang Wang, 2021. "Assessment of Potato Farmland Soil Nutrient Based on MDS-SQI Model in the Loess Plateau," Sustainability, MDPI, vol. 13(7), pages 1-13, April.
    3. Yiming Fu & Yaoping Cui & Yaochen Qin & Nan Li & Liangyu Chen & Haoming Xia, 2019. "Continued Hydrothermal and Radiative Pressure on Changed Cropland in China," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    4. Salar Rezapour & Amin Nouri & Hawzhin M. Jalil & Shawn A. Hawkins & Scott B. Lukas, 2021. "Influence of Treated Wastewater Irrigation on Soil Nutritional-Chemical Attributes Using Soil Quality Index," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    5. Shuangxi Miao & Shuyu Wang & Chunyan Huang & Xiaohong Xia & Lingling Sang & Jianxi Huang & Han Liu & Zheng Zhang & Junxiao Zhang & Xu Huang & Fei Gao, 2023. "A Big Data Grided Organization and Management Method for Cropland Quality Evaluation," Land, MDPI, vol. 12(10), pages 1-20, October.
    6. Wei Fang & Xuemei Zhong & Xinhua Peng & Linyuan Li & Shaoliang Zhang & Lei Gao, 2023. "Soil Quality Mediates the Corn Yield in a Thin-Layer Mollisol in Northeast China," Land, MDPI, vol. 12(6), pages 1-15, June.
    7. Mohamed S. Shokr & Mostafa. A. Abdellatif & Ahmed A. El Baroudy & Abdelrazek Elnashar & Esmat F. Ali & Abdelaziz A. Belal & Wael. Attia & Mukhtar Ahmed & Ali A. Aldosari & Zoltan Szantoi & Mohamed E. , 2021. "Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    8. Xiaoyan Li & Limin Yang & Yongxing Ren & Huiying Li & Zongming Wang, 2018. "Impacts of Urban Sprawl on Soil Resources in the Changchun–Jilin Economic Zone, China, 2000–2015," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    9. Fengkui Qian & Yuanjun Yu & Xiuru Dong & Hanlong Gu, 2023. "Soil Quality Evaluation Based on a Minimum Data Set (MDS)—A Case Study of Tieling County, Northeast China," Land, MDPI, vol. 12(6), pages 1-16, June.

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