Journal of Geographical Sciences >
Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China
Author: Yan Huimin, PhD, specialized in land use change. E-mail:yanhm@igsnrr.ac.cn
Received date: 2015-06-09
Accepted date: 2015-08-20
Online published: 2016-07-25
Supported by
STS Project of CAS, No.KFJ-EW-STS-001
National Natural Science Foundation of China, No.41430861
Copyright
With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively.
YAN Huimin , JI Yongzan , LIU Jiyuan , LIU Fang , HU Yunfeng , KUANG Wenhui . Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China[J]. Journal of Geographical Sciences, 2016 , 26(3) : 259 -271 . DOI: 10.1007/s11442-016-1267-2
Figure 1 Map of China’s cropping system zones. The zero-grade zones classify the land as single-, double-, and triple-cropping zones. The numbers, ranging from 1 to 12, represent the codes of major zones and are marked in the same color. Thirty-eight sub-zones are labeled by numbers. |
Figure 2 Four typical frequency distribution histograms |
Figure 3 The distribution map of high-, medium-, and low-yield cropland in China |
Figure 4 The composition of different terrain areas and croplands |
Figure 5 The proportions of high-, medium-, and low- yield cropland in each province |
Table 1 Promoted potential of medium- and low-yield cropland productivity in sub-zones (gC/m2/a) |
Sub-zone code | Promoted potential of low-yield cropland productivity | Promoted potential of medium-yield cropland productivity | Sub-zone code | Promoted potential of low-yield cropland productivity | Promoted potential of medium-yield cropland productivity |
---|---|---|---|---|---|
11 | 167.53 | 214.61 | 65 | 135.99 | 91.91 |
12 | 149.05 | 134.14 | 66 | 154.66 | 157.73 |
21 | 80.97 | 115.43 | 67 | 91.62 | 87.16 |
22 | 134.49 | 197.51 | 71 | 145.93 | 138.42 |
31 | 120.70 | 129.34 | 72 | 128.45 | 101.59 |
32 | 67.47 | 95.10 | 73 | 82.74 | 80.06 |
33 | 122.54 | 122.51 | 74 | 269.63 | 241.69 |
34 | 122.43 | 145.19 | 75 | 150.37 | 163.29 |
41 | 89.15 | 97.85 | 81 | 190.49 | 135.47 |
42 | 75.86 | 122.82 | 82 | 93.59 | 110.83 |
43 | 84.80 | 80.20 | 91 | 79.49 | 72.63 |
44 | 100.80 | 66.66 | 92 | 86.92 | 124.33 |
51 | 238.04 | 195.18 | 101 | 174.25 | 178.35 |
52 | 214.61 | 248.09 | 102 | 131.90 | 117.79 |
53 | 225.30 | 190.01 | 111 | 197.00 | 248.66 |
61 | 159.29 | 150.06 | 112 | 146.24 | 119.47 |
62 | 126.33 | 120.05 | 113 | 247.75 | 266.32 |
63 | 138.81 | 112.36 | 121 | 206.51 | 216.96 |
64 | 147.89 | 117.72 | 122 | 297.01 | 321.38 |
Table 2 Production capability and potential promoted productivity of low-yield cropland in each province |
Province | Area proportion of low-yield cropland (%) | Low-yield cropland productivity (×104 C) | Proportion of low-yield cropland productivity (%) | Potential promoted productivity (×104 C) | Increase rate % | Proportion of potential promoted productivity (%) |
---|---|---|---|---|---|---|
Heilongjiang | 7.96 | 1732.78 | 10.93 | 258.18 | 14.90 | 6.77 |
Jilin | 3.29 | 452.45 | 2.85 | 88.00 | 19.45 | 2.31 |
Liaoning | 2.78 | 270.01 | 1.70 | 50.67 | 18.77 | 1.33 |
Beijing | 0.28 | 51.19 | 0.32 | 15.38 | 30.04 | 0.40 |
Tianjin | 0.38 | 90.19 | 0.57 | 21.86 | 24.24 | 0.57 |
Hebei | 3.85 | 662.04 | 4.17 | 173.34 | 26.18 | 4.55 |
Shandong | 2.70 | 440.02 | 2.77 | 108.70 | 24.70 | 2.85 |
Henan | 3.60 | 1021.36 | 6.44 | 175.70 | 17.20 | 4.61 |
Shanxi | 4.18 | 569.75 | 3.59 | 141.79 | 24.89 | 3.72 |
Shaanxi | 5.39 | 430.27 | 2.71 | 97.09 | 22.56 | 2.55 |
Gansu | 5.54 | 520.49 | 3.28 | 163.77 | 31.46 | 4.29 |
Xinjiang | 3.26 | 413.12 | 2.60 | 157.81 | 38.20 | 4.14 |
Inner Mongolia | 8.75 | 1008.00 | 6.36 | 235.99 | 23.41 | 6.19 |
Ningxia | 1.48 | 161.57 | 1.02 | 68.00 | 42.09 | 1.78 |
Qinghai | 0.61 | 22.78 | 0.14 | 9.06 | 39.80 | 0.24 |
Tibet | 0.46 | 19.03 | 0.12 | 10.77 | 56.60 | 0.28 |
Jiangsu | 1.42 | 337.51 | 2.13 | 102.14 | 30.26 | 2.68 |
Anhui | 1.85 | 476.93 | 3.01 | 104.79 | 21.97 | 2.75 |
Hubei | 2.89 | 376.33 | 2.37 | 86.22 | 22.91 | 2.26 |
Hunan | 4.98 | 699.15 | 4.41 | 174.32 | 24.93 | 4.57 |
Jiangxi | 3.09 | 532.08 | 3.35 | 114.66 | 21.55 | 3.01 |
Zhejiang | 1.48 | 480.30 | 3.03 | 154.58 | 32.18 | 4.05 |
Shanghai | 0.17 | 44.21 | 0.28 | 14.97 | 33.86 | 0.39 |
Guangdong | 2.75 | 679.24 | 4.28 | 231.58 | 34.09 | 6.07 |
Guangxi | 3.56 | 532.55 | 3.36 | 169.57 | 31.84 | 4.45 |
Fujian | 1.75 | 521.27 | 3.29 | 162.21 | 31.12 | 4.25 |
Hainan | 0.35 | 95.89 | 0.60 | 40.13 | 41.85 | 1.05 |
Taiwan | 0.26 | 78.64 | 0.50 | 31.66 | 40.26 | 0.83 |
Sichuan | 7.54 | 1772.73 | 11.18 | 265.77 | 14.99 | 6.97 |
Yunnan | 5.91 | 751.06 | 4.74 | 292.76 | 38.98 | 7.68 |
Chongqing | 2.79 | 468.50 | 2.95 | 64.14 | 13.69 | 1.68 |
Guizhou | 4.69 | 148.30 | 0.94 | 28.23 | 19.04 | 0.74 |
Figure 6 Potential promoted productivity in each province (ordered by total amount) |
Table 3 Production capacity and potential promoted productivity of medium-yield cropland in province |
Province | Area proportion of medium-yield cropland (%) | Medium-yield cropland productivity (×104 C) | Proportion of medium-yield cropland productivity (%) | Potential promoted productivity (×104 C) | Increase rate (%) | Proportion of potential promoted productivity (%) |
---|---|---|---|---|---|---|
Heilongjiang | 12.53 | 5591.56 | 11.35 | 851.49 | 15.23 | 9.14 |
Jilin | 4.50 | 2027.35 | 4.12 | 263.31 | 12.99 | 2.83 |
Liaoning | 4.20 | 1902.89 | 3.86 | 251.32 | 13.21 | 2.70 |
Beijing | 0.33 | 154.59 | 0.31 | 34.50 | 22.31 | 0.37 |
Tianjin | 0.50 | 228.52 | 0.46 | 43.74 | 19.14 | 0.47 |
Hebei | 6.07 | 2731.25 | 5.54 | 552.14 | 20.22 | 5.93 |
Shandong | 7.06 | 3542.15 | 7.19 | 558.29 | 15.76 | 5.99 |
Henan | 6.38 | 3368.73 | 6.84 | 440.08 | 13.06 | 4.72 |
Shanxi | 3.08 | 1272.41 | 2.58 | 282.19 | 22.18 | 3.03 |
Shaanxi | 2.70 | 1226.67 | 2.49 | 279.82 | 22.81 | 3.00 |
Gansu | 2.53 | 1046.96 | 2.13 | 303.88 | 29.03 | 3.26 |
Xinjiang | 2.99 | 1618.20 | 3.28 | 465.51 | 28.77 | 5.00 |
Inner Mongolia | 5.80 | 2385.04 | 4.84 | 556.47 | 23.33 | 5.97 |
Ningxia | 0.73 | 284.72 | 0.58 | 99.90 | 35.08 | 1.07 |
Qinghai | 0.32 | 113.63 | 0.23 | 36.18 | 31.84 | 0.39 |
Tibet | 0.09 | 30.99 | 0.06 | 13.94 | 44.97 | 0.15 |
Jiangsu | 3.58 | 1908.20 | 3.87 | 303.91 | 15.93 | 3.26 |
Anhui | 6.18 | 3316.31 | 6.73 | 519.71 | 15.67 | 5.58 |
Hubei | 3.60 | 1871.25 | 3.80 | 379.66 | 20.29 | 4.07 |
Hunan | 2.85 | 1543.79 | 3.13 | 250.27 | 16.21 | 2.69 |
Jiangxi | 1.90 | 1029.40 | 2.09 | 171.48 | 16.66 | 1.84 |
Zhejiang | 1.66 | 849.77 | 1.72 | 230.50 | 27.12 | 2.47 |
Shanghai | 0.35 | 168.73 | 0.34 | 42.25 | 25.04 | 0.45 |
Guangdong | 2.14 | 1287.21 | 2.61 | 367.70 | 28.57 | 3.95 |
Guangxi | 2.91 | 1694.63 | 3.44 | 382.28 | 22.56 | 4.10 |
Fujian | 0.71 | 408.86 | 0.83 | 118.86 | 29.07 | 1.28 |
Hainan | 0.62 | 445.10 | 0.90 | 139.98 | 31.45 | 1.50 |
Taiwan | 0.44 | 292.91 | 0.59 | 92.02 | 31.42 | 0.99 |
Sichuan | 7.30 | 3655.76 | 7.42 | 603.26 | 16.50 | 6.47 |
Yunnan | 2.29 | 1430.87 | 2.90 | 390.90 | 27.32 | 4.19 |
Chongqing | 1.88 | 969.52 | 1.97 | 162.34 | 16.74 | 1.74 |
Guizhou | 1.78 | 865.09 | 1.76 | 130.82 | 15.12 | 1.40 |
The authors have declared that no competing interests exist.
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
/
〈 |
|
〉 |