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A Study of the Spatial Difference of the Soil Quality of The Mun River Basin during the Rainy Season

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  • Chunsheng Wu

    (The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China
    State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Qingsheng Liu

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Guoxia Ma

    (The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China)

  • Gaohuan Liu

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Fang Yu

    (The Center for Eco-Environmental Accounting, Chinese Academy for Environmental Planning, Beijing 100012, China)

  • Chong Huang

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Zhonghe Zhao

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Li Liang

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

Abstract

The Mun River basin is one of the main grain-producing areas of Thailand, and the rainy season is the main period for crop planting after being idle during the dry season. However, the soil conditions are variable, so an assessment of soil quality during the rainy season is necessary for improving soil condition and crop production. The aim of this study was to conduct a soil quality assessment based on soil samples. To attain that, a minimum data set theory was used to screen evaluation indicators and geographically weighted regression was performed to obtain spatial interpolations of indicators, while the fuzzy logic model was used to determine the soil quality results. The results showed that the contents of indicators had similar spatial trends as their contents declined from the western to the eastern region of the basin. The soil quality results showed that the poor soil was in the middle of the basin, where the main land use is paddy fields, and the good soil was in the southwest of the basin, where forests and dry fields are widely distributed. The results indicated that the soil quality in the Mun River basin varied greatly, especially for farmland, so these findings will be helpful for improving soil conditions and grain production in the Mun River basin.

Suggested Citation

  • Chunsheng Wu & Qingsheng Liu & Guoxia Ma & Gaohuan Liu & Fang Yu & Chong Huang & Zhonghe Zhao & Li Liang, 2019. "A Study of the Spatial Difference of the Soil Quality of The Mun River Basin during the Rainy Season," Sustainability, MDPI, vol. 11(12), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3423-:d:241845
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    References listed on IDEAS

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    1. Clifford M. Hurvich & Jeffrey S. Simonoff & Chih‐Ling Tsai, 1998. "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 271-293.
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    Cited by:

    1. Mingliang Jiang & Ligang Xu & Xiaobing Chen & Hua Zhu & Hongxiang Fan, 2020. "Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    2. Qianqian Liu & Gulimire Hanati & Sulitan Danierhan & Guangming Liu & Yin Zhang & Zhiping Zhang, 2020. "Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    3. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    4. Hua Huang & Daizhong Su & Wenjie Peng & You Wu, 2020. "Development of a Mobile Application System for Eco-Accounting," Sustainability, MDPI, vol. 12(22), pages 1-24, November.

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