World Regional Studies ›› 2025, Vol. 34 ›› Issue (4): 27-44.DOI: 10.3969/j.issn.1004-9479.2025.04.20230802
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Chengxin MO1(), Tianneng HUANG2(
), Weisheng XIA1, Qingyao FAN1, Hao ZHOU1
Received:
2023-11-22
Revised:
2024-03-04
Online:
2025-04-15
Published:
2025-04-27
Contact:
Tianneng HUANG
莫成鑫1(), 黄天能2(
), 夏卫生1, 范清瑶1, 周浩1
通讯作者:
黄天能
作者简介:
莫成鑫(1999—),男,硕士研究生,研究方向为国土资源利用与管理,E-mail: 865724562@qq.com。
基金资助:
Chengxin MO, Tianneng HUANG, Weisheng XIA, Qingyao FAN, Hao ZHOU. Simulation study on land use in Guangxi section of the Sino Vietnamese border region from the perspective of national security[J]. World Regional Studies, 2025, 34(4): 27-44.
莫成鑫, 黄天能, 夏卫生, 范清瑶, 周浩. 国家安全视角下中越边境广西段土地利用模拟研究[J]. 世界地理研究, 2025, 34(4): 27-44.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2025.04.20230802
类型 | 名称 | 来源 |
---|---|---|
基础数据 | 2000、2020年土地利用数据 | 中国多时期土地利用遥感监测数据集(CNLUCC) |
自然因素 | 高程 | 地理空间数据云DEM |
坡度 | 基于DEM提取 | |
坡向 | ||
年均气温 | 世界气候数据中心(www.worldclim.org) | |
年均降雨量 | ||
社会因素 | 到公路的距离 | OpenStreetMap (www.openstreetmap.org) |
到铁路的距离 | ||
经济因素 | GDP | 中国GDP空间分布公里网格数据集 |
人口密度 | 美国能源部橡树岭国家实验室(andscan.ornl.gov) | |
夜间灯光 | NPP/VIIRS(www.ngdc.noaa.gov/eog/viirs) |
Tab.1 Data source information
类型 | 名称 | 来源 |
---|---|---|
基础数据 | 2000、2020年土地利用数据 | 中国多时期土地利用遥感监测数据集(CNLUCC) |
自然因素 | 高程 | 地理空间数据云DEM |
坡度 | 基于DEM提取 | |
坡向 | ||
年均气温 | 世界气候数据中心(www.worldclim.org) | |
年均降雨量 | ||
社会因素 | 到公路的距离 | OpenStreetMap (www.openstreetmap.org) |
到铁路的距离 | ||
经济因素 | GDP | 中国GDP空间分布公里网格数据集 |
人口密度 | 美国能源部橡树岭国家实验室(andscan.ornl.gov) | |
夜间灯光 | NPP/VIIRS(www.ngdc.noaa.gov/eog/viirs) |
2020年 | 2040年自然发展情景 | |||||||
---|---|---|---|---|---|---|---|---|
耕地 | 中高郁闭度林地 | 其他林地 | 草地 | 水域 | 建设用地 | 未利用地 | 合计 | |
合计 | 369 296.37 | 523 724.57 | 770 992.59 | 68 726.17 | 16 661.44 | 47 053.19 | 750.68 | 1 797 205.00 |
耕地 | 336 417.78 | 4 614.00 | 25 376.75 | 440.89 | 582.87 | 4 000.57 | 1.64 | 371 434.51 |
中高郁闭度林地 | 6 104.11 | 486 577.68 | 28 005.02 | 1 175.77 | 479.96 | 836.88 | 17.38 | 523 196.79 |
其他林地 | 21 593.46 | 23 866.37 | 725 888.47 | 1 464.35 | 624.03 | 4 607.20 | 16.22 | 778 060.09 |
草地 | 966.74 | 1 124.24 | 2 416.40 | 63 491.73 | 4 779.60 | 572.44 | 2.79 | 73 353.94 |
水域 | 337.82 | 190.81 | 278.99 | 2 301.47 | 10 114.91 | 127.40 | 1.29 | 13 352.70 |
建设用地 | 2 072.63 | 124.14 | 694.26 | 22.87 | 195.23 | 33 923.10 | 0.61 | 37 032.84 |
未利用地 | 1.68 | 8.64 | 18.99 | 1.33 | 8.66 | 24.08 | 710.76 | 774.14 |
合计 | 367 494.22 | 516 505.89 | 782 678.88 | 68 898.42 | 16 785.25 | 44 091.67 | 750.68 | 1 797 205.00 |
2020年 | 2040年国家安全情景 | |||||||
耕地 | 中高郁闭度林地 | 其他林地 | 草地 | 水域 | 建设用地 | 未利用地 | 合计 | |
耕地 | 354 021.39 | 2 479.94 | 11 735.21 | 415.05 | 325.11 | 2 456.17 | 1.64 | 371 434.51 |
中高郁闭度林地 | 2 298.49 | 513 203.75 | 2 165.93 | 1 120.38 | 720.39 | 3 675.24 | 12.60 | 523 196.77 |
其他林地 | 10 562.30 | 6 475.99 | 753 610.53 | 1 347.37 | 396.45 | 5 647.23 | 20.24 | 778 060.11 |
草地 | 824.66 | 1 181.09 | 2 714.00 | 63 464.76 | 4 759.90 | 406.90 | 2.62 | 73 353.93 |
水域 | 187.47 | 191.80 | 159.32 | 2 349.72 | 10 384.10 | 78.77 | 1.51 | 13 352.70 |
建设用地 | 1 400.38 | 183.18 | 585.50 | 27.71 | 70.81 | 34 764.73 | 0.53 | 37 032.83 |
未利用地 | 1.68 | 8.82 | 22.10 | 1.18 | 4.68 | 24.15 | 711.53 | 774.14 |
Tab.2 Stochastic matrix of land use in the study area under the under two types of scenarios from 2020 to 2040
2020年 | 2040年自然发展情景 | |||||||
---|---|---|---|---|---|---|---|---|
耕地 | 中高郁闭度林地 | 其他林地 | 草地 | 水域 | 建设用地 | 未利用地 | 合计 | |
合计 | 369 296.37 | 523 724.57 | 770 992.59 | 68 726.17 | 16 661.44 | 47 053.19 | 750.68 | 1 797 205.00 |
耕地 | 336 417.78 | 4 614.00 | 25 376.75 | 440.89 | 582.87 | 4 000.57 | 1.64 | 371 434.51 |
中高郁闭度林地 | 6 104.11 | 486 577.68 | 28 005.02 | 1 175.77 | 479.96 | 836.88 | 17.38 | 523 196.79 |
其他林地 | 21 593.46 | 23 866.37 | 725 888.47 | 1 464.35 | 624.03 | 4 607.20 | 16.22 | 778 060.09 |
草地 | 966.74 | 1 124.24 | 2 416.40 | 63 491.73 | 4 779.60 | 572.44 | 2.79 | 73 353.94 |
水域 | 337.82 | 190.81 | 278.99 | 2 301.47 | 10 114.91 | 127.40 | 1.29 | 13 352.70 |
建设用地 | 2 072.63 | 124.14 | 694.26 | 22.87 | 195.23 | 33 923.10 | 0.61 | 37 032.84 |
未利用地 | 1.68 | 8.64 | 18.99 | 1.33 | 8.66 | 24.08 | 710.76 | 774.14 |
合计 | 367 494.22 | 516 505.89 | 782 678.88 | 68 898.42 | 16 785.25 | 44 091.67 | 750.68 | 1 797 205.00 |
2020年 | 2040年国家安全情景 | |||||||
耕地 | 中高郁闭度林地 | 其他林地 | 草地 | 水域 | 建设用地 | 未利用地 | 合计 | |
耕地 | 354 021.39 | 2 479.94 | 11 735.21 | 415.05 | 325.11 | 2 456.17 | 1.64 | 371 434.51 |
中高郁闭度林地 | 2 298.49 | 513 203.75 | 2 165.93 | 1 120.38 | 720.39 | 3 675.24 | 12.60 | 523 196.77 |
其他林地 | 10 562.30 | 6 475.99 | 753 610.53 | 1 347.37 | 396.45 | 5 647.23 | 20.24 | 778 060.11 |
草地 | 824.66 | 1 181.09 | 2 714.00 | 63 464.76 | 4 759.90 | 406.90 | 2.62 | 73 353.93 |
水域 | 187.47 | 191.80 | 159.32 | 2 349.72 | 10 384.10 | 78.77 | 1.51 | 13 352.70 |
建设用地 | 1 400.38 | 183.18 | 585.50 | 27.71 | 70.81 | 34 764.73 | 0.53 | 37 032.83 |
未利用地 | 1.68 | 8.82 | 22.10 | 1.18 | 4.68 | 24.15 | 711.53 | 774.14 |
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