Journal of Resources and Ecology ›› 2020, Vol. 11 ›› Issue (6): 598-605.DOI: 10.5814/j.issn.1674-764x.2020.06.007
Special Issue: 中国耕地资源与粮食安全
• Land Resource and Land Use • Previous Articles Next Articles
Received:
2020-05-27
Accepted:
2020-07-16
Online:
2020-11-30
Published:
2020-10-25
Contact:
MA Zhiyu
Supported by:
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.
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URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2020.06.007
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)
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 |
Table 2 Cultivated land intensive use index evaluation system
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 |
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
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 |
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
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 |
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
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 |
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