Controlling Non-Grain Production Based on Cultivated Land Multifunction Assessment

Abstract

The control of non-grain production (NGP) has become a great challenge for cultivated land protection in China in recent years. A control method for NGP that can coordinate the conflicts between cultivated land protection and farmers’ interest is urgently needed. Taking Tongxiang City as an example, this research proposed a solution for the control and management of NGP based on cultivated land multifunctional assessment. The GIS and AHP approach were used to assess production function via a comprehensive evaluation index. The InVEST and FMSPA models were applied to assess ecological function while, the Maxent model was applied to assess recreational function, then multifunctional comprehensive zoning was conducted through natural breakpoint method and spatial overlay analysis. Five development-oriented function zones were considered, including the core area of grain production plus areas for ecological agriculture, leisure agriculture, compound agriculture, and general farmland. Differentiated control measures for NGPs in each functional subarea are proposed considering the current NGP distribution of Tongxiang city. This research can provide a reference for subsequent improvement of land management policies and can aid the achievement of sustainable agricultural development and rural revitalization.

Study on the spatio-temporal evolution and influencing factors of farmland abandonment on a county scale

“…Finally, we took the village as the unit to analyze the spatial aggregation of abandoned farmland. On the basis of high data accuracy, we retained more details of the spatial pattern, which was more conducive to the detailed analysis of the spatial distribution characteristics of farmland abandonment (Su 2020 ).…”

“…After referring to the previous relevant researches (Gu 2013 ; Su 2020 ) and the consistency and availability of data accuracy, this study selected four potential indicators that affect the farmland abandonment: geography, proximity, distance, and policy, as shown in Table 1 .…”

“…Slope was divided into five grades according to the standard of land investigation (grade 1 if the slope was less than 2° and grade 5 if the slope was greater than 25°). The soil types referred to the classification standard of scholar Su ( 2020 ), that was, it was divided into seven kinds of moisture soil, yellow soil, red soil, paddy soil, purple soil, regosol, and coastal saline soil.…”

A Study on the Spatial–Temporal Evolution and Driving Factors of Non-Grain Production in China’s Major Grain-Producing Provinces

“…In terms of the extent of the development of non-grain production in China, extant studies have shown that the phenomenon of non-grain production is becoming more and more serious, with more serious non-grain production in South, Northwest, Southwest, and Central China [ 8 , 16 ]. In terms of the mechanisms driving the phenomenon of non-grain production, some scholars have explored the analysis from the perspectives of cost and benefit [ 17 , 18 ], agricultural land transfer [ 19 ], industrial and commercial capital [ 20 ], policy understanding [ 21 ], farm household characteristics [ 22 ], labor transfer [ 23 ], cultivated land rental [ 24 ], and local government behavior [ 25 ]. Rising costs and declining returns of grain production [ 26 ], increased economic efficiency of non-grain economic crops [ 27 , 28 ], and dislocated government regulation [ 29 ] are important factors contributing to the serious phenomenon of non-grain production.…”

The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

“…Other researchers are primarily concerned with the connotation and protection of multi-function cultivated land, the development of evaluation systems and multifunction evaluation, the study of time-space difference and driving mechanism, multi-function categorization and zoning, and so on [ 19 , 20 ]. In terms of multifunction measurement of cultivated land, the comprehensive evaluation method of indicators [ 10 , 21 ], material quality evaluation method [ 20 , 22 ], value evaluation method [ 23 , 24 ], and other methods are used. At the national [ 9 , 25 ], provincial [ 26 ], municipal [ 27 ], county [ 10 , 28 ], village [ 29 , 30 ], and grid levels [ 31 ], the multi-functional evaluation and zoning of cultivated land are investigated using the methods of full arrangement polygons [ 32 ], spatial autocorrelation [ 33 ], coupling coordination degree modeling [ 5 , 34 ], and Spearman level correlation coefficients [ 35 ].…”