JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (5): 185-194.doi: 10.12302/j.issn.1000-2006.202008049
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Received:
2020-08-29
Accepted:
2020-10-26
Online:
2021-09-30
Published:
2021-09-30
Contact:
LIU Zhifeng
E-mail:mayingyi@jit.edu.cn;lzf@jit.edu.cn
CLC Number:
MA Yingyi, LIU Zhifeng. Assessment of landscape ecological risk and its dynamic response with urbanization development of Jiangsu Province[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(5): 185-194.
Table 1
Landscape indices of land-use type in Jiangsu Province"
景观类型 landscape type | 年份 year | 面积/hm2 area | Nf | IPD | ILP | IPAF | IA |
---|---|---|---|---|---|---|---|
草地 grassland | 2010 | 70 576.38 | 35 427 | 0.34 | 0.03 | 1.16 | 95.04 |
2018 | 85 341.28 | 187 142 | 1.82 | 0.00 | 1.09 | 69.00 | |
耕地 cultivated land | 2010 | 7 519 326.57 | 11 341 | 0.11 | 50.36 | 1.35 | 99.99 |
2018 | 6 726 417.76 | 197 615 | 1.92 | 9.40 | 1.38 | 99.92 | |
灌木丛 bushes | 2010 | 237.51 | 559 | 0.01 | 0.00 | 1.09 | 71.83 |
2018 | 442.24 | 1 489 | 0.01 | 0.00 | 1.04 | 38.01 | |
建设用地 built-up land | 2010 | 898 063.11 | 24 777 | 0.24 | 0.24 | 1.16 | 98.64 |
2018 | 1 702 252.16 | 429 174 | 4.17 | 1.20 | 1.29 | 99.33 | |
林地 forestland | 2010 | 302 865.48 | 26 486 | 0.26 | 0.33 | 1.18 | 98.88 |
2018 | 406 162.24 | 209 269 | 2.04 | 0.42 | 1.19 | 96.99 | |
湿地 wetland | 2010 | 61 194.42 | 876 | 0.01 | 0.07 | 1.15 | 98.70 |
2018 | 29 666.72 | 44 489 | 0.43 | 0.00 | 1.09 | 76.65 | |
水域 water | 2010 | 1 334 695.68 | 43 102 | 0.42 | 4.08 | 1.21 | 99.70 |
2018 | 1 322 433.12 | 204 421 | 1.99 | 3.90 | 1.25 | 99.42 | |
未利用地 unused land | 2010 | 93 729.15 | 2 667 | 0.03 | 0.05 | 1.13 | 98.15 |
2018 | 7 971.36 | 12 831 | 0.12 | 0.01 | 1.10 | 81.44 |
Table 2
Landscape indices of whole land-use type and main land-use type of thirteen cities in Jiangsu Province"
城市 city | 年份 year | ISHD | IC | 耕地 cultivated land | 建设用地 built-up land | 水域 water | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IPD | IPAF | IA | IPD | IPAF | IA | IPD | IPAF | IA | ||||||||||||||
南京 Nanjing(NJ) | 2010 | 1.05 | 68.07 | 0.39 | 1.30 | 97.54 | 0.33 | 1.29 | 94.23 | 0.78 | 1.29 | 93.56 | ||||||||||
2018 | 1.25 | 55.15 | 3.29 | 1.46 | 86.36 | 5.40 | 1.45 | 76.63 | 3.36 | 1.39 | 82.65 | |||||||||||
无锡 Wuxi(WX) | 2010 | 1.27 | 61.95 | 0.19 | 1.29 | 96.48 | 0.56 | 1.31 | 93.68 | 0.39 | 1.32 | 96.77 | ||||||||||
2018 | 1.35 | 53.65 | 4.33 | 1.45 | 80.45 | 3.88 | 1.44 | 82.73 | 2.28 | 1.44 | 91.35 | |||||||||||
徐州 Xuzhou(XZ) | 2010 | 0.60 | 81.69 | 0.06 | 1.25 | 98.77 | 0.22 | 1.33 | 94.16 | 0.30 | 1.39 | 88.56 | ||||||||||
2018 | 0.79 | 71.09 | 1.25 | 1.39 | 93.25 | 3.58 | 1.40 | 76.38 | 0.92 | 1.42 | 80.00 | |||||||||||
常州 Changzhou(CZ) | 2010 | 1.04 | 68.25 | 0.19 | 1.30 | 97.20 | 0.47 | 1.26 | 93.72 | 0.64 | 1.30 | 94.10 | ||||||||||
2018 | 1.14 | 53.27 | 3.69 | 1.42 | 84.13 | 5.79 | 1.44 | 77.99 | 3.58 | 1.42 | 82.17 | |||||||||||
苏州 Suzhou(SZ) | 2010 | 1.14 | 66.25 | 0.19 | 1.30 | 96.63 | 0.23 | 1.34 | 94.35 | 0.33 | 1.30 | 97.67 | ||||||||||
2018 | 1.23 | 58.08 | 4.29 | 1.43 | 80.17 | 3.15 | 1.46 | 83.09 | 2.32 | 1.43 | 93.99 | |||||||||||
南通 Nantong(NT) | 2010 | 0.72 | 80.41 | 0.06 | 1.27 | 98.94 | 0.27 | 1.34 | 91.36 | 0.28 | 1.35 | 95.96 | ||||||||||
2018 | 0.85 | 66.68 | 1.72 | 1.40 | 90.87 | 6.59 | 1.48 | 73.60 | 1.70 | 1.44 | 86.64 | |||||||||||
连云港 Lianyungang(LYG) | 2010 | 0.85 | 74.66 | 0.10 | 1.30 | 98.47 | 0.14 | 1.26 | 93.30 | 0.26 | 1.41 | 95.68 | ||||||||||
2018 | 0.81 | 72.30 | 1.17 | 1.42 | 95.52 | 2.90 | 1.38 | 78.93 | 1.22 | 1.40 | 83.49 | |||||||||||
淮安 Huai’an(HA) | 2010 | 0.91 | 73.23 | 0.07 | 1.30 | 98.70 | 0.08 | 1.21 | 94.76 | 0.42 | 1.33 | 96.78 | ||||||||||
2018 | 0.86 | 72.00 | 0.92 | 1.41 | 95.90 | 2.54 | 1.43 | 73.15 | 1.27 | 1.40 | 92.18 | |||||||||||
盐城 Yancheng(YC) | 2010 | 0.65 | 80.79 | 0.05 | 1.27 | 98.99 | 0.11 | 1.33 | 93.05 | 0.37 | 1.38 | 94.04 | ||||||||||
2018 | 0.75 | 73.13 | 1.06 | 1.42 | 95.07 | 4.06 | 1.46 | 69.81 | 1.54 | 1.44 | 81.73 | |||||||||||
扬州 Yangzhou(YZ) | 2010 | 0.72 | 78.36 | 0.09 | 1.28 | 98.71 | 0.20 | 1.21 | 94.28 | 0.60 | 1.28 | 95.45 | ||||||||||
2018 | 0.98 | 62.38 | 1.67 | 1.42 | 92.36 | 5.09 | 1.45 | 73.20 | 2.91 | 1.40 | 86.02 | |||||||||||
镇江 Zhenjiang(ZJ) | 2010 | 0.84 | 72.53 | 0.12 | 1.28 | 98.22 | 0.51 | 1.23 | 92.22 | 0.51 | 1.30 | 93.15 | ||||||||||
2018 | 1.12 | 59.72 | 2.25 | 1.42 | 88.43 | 5.25 | 1.42 | 76.75 | 3.12 | 1.37 | 82.54 | |||||||||||
泰州 Taizhou(TZ) | 2010 | 0.73 | 78.08 | 0.13 | 1.26 | 97.70 | 0.54 | 1.25 | 91.31 | 0.92 | 1.39 | 89.97 | ||||||||||
2018 | 0.94 | 61.42 | 2.06 | 1.40 | 90.19 | 5.77 | 1.45 | 74.03 | 4.44 | 1.45 | 72.56 | |||||||||||
宿迁 Suqian(SQ) | 2010 | 0.95 | 72.06 | 0.08 | 1.29 | 98.32 | 0.13 | 1.30 | 93.25 | 0.27 | 1.40 | 97.80 | ||||||||||
2018 | 0.85 | 71.89 | 0.86 | 1.41 | 95.24 | 2.78 | 1.42 | 73.06 | 0.99 | 1.44 | 93.66 |
Table 3
Indices of landscape ecological risk of thirteen cities in Jiangsu Province"
城市 city | 2010年 | 2018年 | ||||
---|---|---|---|---|---|---|
IER | FIER | 排序 sort | IER | FIER | 排序 sort | |
无锡 WX | 0.145 4 | 100 | 1 | 0.184 3 | 100 | 1 |
苏州 SZ | 0.130 9 | 64 | 4 | 0.180 9 | 95 | 2 |
常州 CZ | 0.132 3 | 67 | 3 | 0.171 6 | 83 | 3 |
南通NT | 0.122 6 | 43 | 8 | 0.168 2 | 78 | 4 |
镇江 ZJ | 0.124 2 | 47 | 7 | 0.161 0 | 69 | 5 |
南京 NJ | 0.126 5 | 53 | 6 | 0.158 8 | 66 | 6 |
泰州 TZ | 0.134 8 | 74 | 2 | 0.155 1 | 61 | 7 |
徐州 XZ | 0.130 6 | 63 | 5 | 0.142 6 | 44 | 8 |
连云港 LYG | 0.114 7 | 24 | 10 | 0.136 7 | 36 | 9 |
扬州 YZ | 0.117 3 | 30 | 9 | 0.135 4 | 34 | 10 |
盐城 YC | 0.111 6 | 16 | 11 | 0.126 1 | 22 | 11 |
宿迁 SQ | 0.110 2 | 13 | 12 | 0.116 4 | 8 | 12 |
淮安 HA | 0.105 6 | 1 | 13 | 0.110 8 | 1 | 13 |
平均mean | 0.123 6 | 0.149 9 |
Table 4
Coupling degree between dynamic degree of landscape ecological risk and urbanization of thirteen cities in Jiangsu Province"
城市 city | DIER | DIUR | C | 城市 city | DIER | DIER | C |
---|---|---|---|---|---|---|---|
南京NJ | 0.039 6 | 0.036 4 | 0.999 1 | 淮安HA | 0.026 6 | 0.007 2 | 0.817 3 |
无锡WX | 0.031 9 | 0.038 2 | 0.995 9 | 盐城YC | 0.055 1 | 0.018 6 | 0.869 0 |
徐州XZ | 0.031 2 | 0.013 1 | 0.912 6 | 扬州YZ | 0.045 0 | 0.022 0 | 0.939 6 |
常州CZ | 0.045 8 | 0.042 5 | 0.999 3 | 镇江ZJ | 0.055 9 | 0.042 4 | 0.990 5 |
苏州SZ | 0.042 4 | 0.054 6 | 0.992 0 | 泰州TZ | 0.034 0 | 0.021 5 | 0.974 6 |
南通NT | 0.074 3 | 0.053 2 | 0.986 2 | 宿迁SQ | 0.025 9 | 0.008 0 | 0.848 4 |
连云港LYG | 0.052 2 | 0.027 3 | 0.949 7 |
Table 6
Intercepts and coefficients of explanatory variables"
城市 city | C1 | C2 | 截距 intercept |
---|---|---|---|
南京NJ | 0.827 194 | -0.484 744 | 0.484 109 |
无锡WX | 0.827 304 | -0.484 811 | 0.484 219 |
徐州XZ | 0.826 929 | -0.484 874 | 0.484 006 |
常州CZ | 0.827 268 | -0.484 782 | 0.484 180 |
苏州SZ | 0.827 352 | -0.484 847 | 0.484 271 |
南通NT | 0.827 315 | -0.484 957 | 0.484 307 |
连云港LYG | 0.827 018 | -0.485 023 | 0.484 148 |
淮安HA | 0.827 095 | -0.484 893 | 0.484 127 |
盐城YC | 0.827 161 | -0.485 011 | 0.484 236 |
扬州YZ | 0.827 174 | -0.484 877 | 0.484 170 |
镇江ZJ | 0.827 227 | -0.484 805 | 0.484 165 |
泰州TZ | 0.827 224 | -0.484 910 | 0.484 221 |
宿迁SQ | 0.827 035 | -0.484 899 | 0.484 090 |
平均mean | 0.827 243 |
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