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

Shiyin CHEN; Zhiyu MA

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

Journals >Journal of Resources and Ecology >Volume 11 >Issue 6 >Page 598 > Article

Journal of Resources and Ecology
Vol. 11, Issue 6, 598 (2020)

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

Shiyin CHEN and Zhiyu MA^*

Author Affiliations

Management College of Guangdong Ocean University, Zhanjiang, Guangdong 524088, China

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DOI: 10.5814/j.issn.1674-764x.2020.06.007 Cite this Article

Shiyin CHEN, Zhiyu MA. 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 Copy Citation Text

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Fig. 1. Location map of Maoming City

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Fig. 2. Spatial changes of cultivated land intensity in Maoming City in 2007, 2010, 2013 and 2017

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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

Table 1.

Cultivated land spatial distribution of Maoming City in 2017(unit: ha)

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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

Table 2.

Cultivated land intensive use index evaluation system

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Order	1	2	3	4	5	6	7	8	9
RI	0	0	0.58	0.9	1.12	1.24	1.32	1.41	1.45

Table 3.

The average random consistency index RI

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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

Table 4.

Index of cultivated land intensive use of Maoming in 2004-2017

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City/District	2007	2010	2013	2017
Huazhou	0.9245	1.0340	1.1669	1.3452
Gaozhou	0.9236	0.9727	1.2505	1.3698
Xinyi	0.8992	1.0668	1.1837	1.3326
Dianbai	0.8848	1.0805	1.1865	1.3029
Maonan	0.9593	1.1330	1.1987	1.3928

Table 5.

Cultivated land intensive use degree of cities/districts in Maoming in 2007, 2010, 2013, and 2017

Shiyin CHEN, Zhiyu MA. 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

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