Temporal and Spatial Characteristics and Optimization of the Intensive Use of Cultivated Land in Maoming City

doi:10.5814/j.issn.1674-764x.2020.06.007

Abstract

Abstract:

Improving the level of intensive cultivated land use is an important measure to ensure food security and promote the sustainable development of the regional society and economy. Based on data from the statistical yearbook of Maoming City and its counties and districts from 2005 to 2018 and the land use change database of Maoming City for 2018, this study constructed an evaluation index system for four aspects: cultivated land use intensity, cultivated land use degree, cultivated land output benefit and cultivated land sustainable use status. The level of intensive use of cultivated land in Maoming City from 2004 to 2017 was evaluated by AHP, the range method and the comprehensive evaluation model, and its temporal and spatial characteristics were evaluated. The results revealed three major points. (1) The intensive use of cultivated land in Maoming City in the past 14 years was good, and its level showed an overall upward trend, with the intensive use degree of cultivated land rising from 0.4045 in 2004 to 1.3148 in 2017. (2) The levels of intensive use of cultivated land in each county and district of Maoming City were generally on the rise, with no significant differences between them. However, according to the regional distribution, the intensive use level of cultivated land was highest in Maonan District, while it was relatively low in Dianbai County. The largest increase in the level of cultivated land intensive use was in Gaozhou, and the smallest was in Dianbai County. (3) According to the existing problems of cultivated land utilization in Maoming City, combined with the current international and domestic measures to effectively improve the level of intensive use of cultivated land, four suggestions are put forward: to improve the efficiency of cultivated land utilization and effectively protect basic farmland; to improve the overall urban planning and rationally adjust the layout of construction land; to raise farmers’ awareness of the intensive use of cultivated land; and to increase agricultural investment and improve agricultural infrastructure.

Key words: cultivated land, intensive use, temporal and spatial variation characteristics, Maoming City

CHEN Shiyin, MA Zhiyu. Temporal and Spatial Characteristics and Optimization of the Intensive Use of Cultivated Land in Maoming City[J]. Journal of Resources and Ecology, 2020, 11(6): 598-605.

Figures/Tables 7

References 13

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			Major types
			Paddy field	Irrigated land	Dryland
Maoming	200214	100	134955	34848	30411
Huazhou	50620	25.3	34225	6431	9946
Dianbai	52665	26.3	33068	8234	10823
Gaozhou	47582	23.7	34877	5634	7071
Xinyi	32416	16.2	21665	6134	7071
Maonan	16931	8.5	11120	3420	2391

			Major types
			Paddy field	Irrigated land	Dryland
Maoming	200214	100	134955	34848	30411
Huazhou	50620	25.3	34225	6431	9946
Dianbai	52665	26.3	33068	8234	10823
Gaozhou	47582	23.7	34877	5634	7071
Xinyi	32416	16.2	21665	6134	7071
Maonan	16931	8.5	11120	3420	2391

Target layer	Criterion layer	Index layer	Weight
Intensive use of cultivated land (A)	Cultivated land use intensity (B1)	Fertilizer input per unit area (C11)	0.7112
		Labor input per unit area (C12)	0.0790
		Mechanical input per unit area (C13)	0.2098
	Cultivated land use degree (B2)	Cropland multiple cropping index (C21)	0.1661
		Farmland irrigation index (C22)	0.2565
		Input of farmland plastic film (C23)	0.1247
	Cultivated land use output benefit (B3)	Per unit area yield (C31)	0.4527
		Yield safety factor (C32)	0.1423
		Average output value per worker (C33)	0.5737
	Sustainable use of cultivated land (B4)	Forest coverage (C41)	0.2840
		Per capita arable land (C42)	0.3457
		Non-agricultural index (C43)	0.6543

Target layer	Criterion layer	Index layer	Weight
Intensive use of cultivated land (A)	Cultivated land use intensity (B1)	Fertilizer input per unit area (C11)	0.7112
		Labor input per unit area (C12)	0.0790
		Mechanical input per unit area (C13)	0.2098
	Cultivated land use degree (B2)	Cropland multiple cropping index (C21)	0.1661
		Farmland irrigation index (C22)	0.2565
		Input of farmland plastic film (C23)	0.1247
	Cultivated land use output benefit (B3)	Per unit area yield (C31)	0.4527
		Yield safety factor (C32)	0.1423
		Average output value per worker (C33)	0.5737
	Sustainable use of cultivated land (B4)	Forest coverage (C41)	0.2840
		Per capita arable land (C42)	0.3457
		Non-agricultural index (C43)	0.6543

Year	Intensity	Degree	Output effect	Sustainable status	Intensive use of cultivated land
2004	0.0614	0.1083	0.0214	0.2134	0.4045
2005	0.0991	0.2324	0.0234	0.3213	0.6762
2006	0.0221	0.2278	0.0354	0.3234	0.6087
2007	0.0321	0.0645	0.0137	0.1091	0.2194
2008	0.0423	0.0984	0.0534	0.2314	0.4255
2009	0.0712	0.1126	0.0837	0.2867	0.5542
2010	0.1118	0.1143	0.1143	0.3642	0.7046
2011	0.1377	0.1513	0.1421	0.4859	0.917
2012	0.1712	0.2542	0.1631	0.6643	1.2528
2013	0.1258	0.0872	0.1743	0.4231	0.8104
2014	0.1787	0.1452	0.2227	0.5121	1.0587
2015	0.2018	0.1423	0.2356	0.5345	1.1142
2016	0.256	0.1146	0.2539	0.6231	1.2476
2017	0.2622	0.1431	0.2741	0.6354	1.3148