Analysis of Impact of Well-Facilitated Farmland Construction—Engineering Measures on Farmland Quality

Xuejie Zhan, Shiwei Ding, Qixun Ding, Shuai Mei, Tong Tong, Youhua Ma, Zhongwen Ma () and Nichun Guo ()
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Xuejie Zhan: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Shiwei Ding: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Qixun Ding: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Shuai Mei: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Tong Tong: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Youhua Ma: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Zhongwen Ma: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
Nichun Guo: Anhui Key Laboratory of Farmland Ecological Conservation and Pollution Prevention and Control, School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China

Sustainability, 2023, vol. 15, issue 8, 1-16

Abstract: We studied the influence and correlation of soil improvement, farmland ecological protection, soil fertilization, and field infrastructure construction on the quality grade of well-fertilized farmland in the engineering measures of well-fertilized farmland construction. Taking Xiao County of the Anhui Province as the study area, based on the software platforms of SPSS, ArcGIS10.6, and the county farmland resource management information system, we investigated the farmland quality changes of well-facilitated farmland before and after construction using the fuzzy evaluation method and analytic hierarchy process. We used principal component analysis and the gray relational method to analyze the impact and correlation of various engineering measures on farmland quality. The farmland quality grade in the study area was improved by a 0.59 grade after the construction of the well-facilitated farmland. Well-facilitated farmland construction engineering measures mainly affected the farmland quality through 12 factors, such as the soil bulk density, tillage layer texture, irrigation and drainage guarantee rates, forest network density, and field road accessibility. There is a strong correlation between these factors and the characteristics of farmland quality; the degrees of correlation were 0.865–0.610, respectively. The highest correlation degree was 0.939 between the deep plowing and deep loosening soil improvement project and the improvement of the well-facilitated basic farmland quality; this was followed by soil fertilization with an increased application of organic fertilizer, farmland ecological protection, and the field infrastructure project with correlations of 0.936, 0.857, and 0.563, respectively. Represented by the improvement of farmland fertility, the soil improvement project had the strongest impact on well-facilitated farmland quality. The soil fertility project, farmland ecological protection project, and the field infrastructure project were the second most important, with very close degrees of correlation.

Keywords: well-facilitated farmland; farmland quality; engineering construction; gray relational method; principal component analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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