Research on the evolution and driving mechanism of ecological land pattern in Vietnam

doi:10.3969/j.issn.1004-9479.2024.11.20230069

Abstract

Abstract:

In this paper, the land use data of Vietnam in 2000,2010 and 2020 were collected, and the composition, pattern and driving mechanism of ecological land in Vietnam were researched by means of a land use transfer matrix, land use transfer map, standard deviation ellipse and wavelet coherence model. The results show that: 1) The spatial distribution of ecological land in Vietnam showed a spatial pattern of a large number in the northwest and a small number in the southeast. Among the types of ecological land in Vietnam, forest land accounted for the highest proportion, reaching 85.8 % of the total area of ecological land in 2020, with obvious spatial agglomeration characteristics. 2) From 2000 to 2020, the area of ecological land decreased from 190 012.06 km² to 178 545.07 km², and the area of each type of ecological land decreased continuously and slowly. The area of ecological land transfer was 2.62 times the area of transfer. The main types of ecological land transfer were forest land and shrub land to cultivated land. The main types of ecological land transfer were cultivated land to forest land. The conversion of ecological land was mainly concentrated in the Red River Delta, Huanglian Mountains and other places. 3) The evolution of ecological land use patterns is reflected in the driving mechanism of power-response-result. Agricultural economic development is the main reason for the extrusion of ecological land use pattern. Urbanization, industrialization and global climate are important measures to determine the direction of ecological land transformation. Ecological protection and ecotourism development play an engine role in maintaining important functions.Key words: ecological land pattern; space-time evolution; driving mechanism; Vietnam

摘要：

基于越南2000、2010和2020年3期土地利用数据，运用土地利用转移矩阵、标准差椭圆、小波相干模型等方法研究了越南生态用地的组成、格局演变及驱动机制。结果表明：（1）越南生态用地空间分布呈现西北部数量多、东南部数量少的空间格局，在越南生态用地类型中，林地的占比最高，2020年达到生态用地总面积的85.8%，空间集聚特征明显。（2）2000—2020年，越南生态用地面积由190 012.06 km²减少到178 545.07 km²，各个类型的生态用地面积持续而缓慢地减少，生态用地转出面积是转入面积的2.62倍，生态用地转出的主要类型是林地、灌木地转为耕地，生态用地转入的主要类型是耕地转为林地，生态用地转换主要集中在红河三角洲、黄连山脉等地。（3）通过构建“驱动-响应-状态”的驱动机制分析框架，发现农业经济开发是越南生态用地格局受到挤压的主因，城市化、工业化、全球气候变暖是决定越南生态用地转变方向的重要因素，生态保护、生态旅游发展则起到维持并提高越南生态功能的重要作用。

关键词: 生态用地格局, 时空演变, 驱动机制, 越南

Xianchao ZHAO, Jian CHEN, Shujia TAN. Research on the evolution and driving mechanism of ecological land pattern in Vietnam[J]. World Regional Studies, 2024, 33(11): 53-64.

赵先超, 陈键, 谭书佳. 越南生态用地格局演变及其驱动机制研究[J]. 世界地理研究, 2024, 33(11): 53-64.

Figures/Tables 7

References 31

1	WANG C, WANG Y, WANG R, et al. Modeling and evaluating land-use/land-cover change for urban planning and sustainability: A case study of Dongying City, China. Journal of Cleaner Production,2018,172:1529-1534.
2	MOONEY H, CROPPER A, REID W. The millennium ecosystem assessment: What is it all about?. Trends in Ecology & Evolution,2004,19(5):221-224.
3	WALTHAM N, ELLIOTT M, LEE S, et al. UN Decade on Ecosystem Restoration 2021-2030—What chance for success in restoring coastal ecosystems? Frontiers in Marine Science,2020,7:71.
4	KLIJN F, HAES H A U. A hierarchical approach to ecosystems and its implications for ecological land classification. Landscape Ecology,1994,9(2):89-104.
5	朱战强,杨帆,宋志军.北京生态用地的空间格局及复杂性.经济地理,2015,35(7):168-175.
	ZHU Z, YANG F, SONG Z.Exploring spatial patterns and complexities of ecological lands in Beijing.Economic Geography,2015,35(7):168-175.
6	吴健生,张理卿,彭建,等. 深圳市景观生态安全格局源地综合识别. 生态学报,2013,33(13):4125-4133.
	WU J, ZHANG L, PENG J, et al. The integrated recognition of the source area of the urban ecological security pattern in Shenzhen. Acta Ecologica Sinica,2013,33(13):4125-4133.
7	曹小娟,曾光明,张硕辅,等. 基于RS和GIS的长沙市生态功能分区. 应用生态学报,2006(7):1269-1273.
	CAO X, ZENG G, ZHANG S, et al. Ecological functional regionalization of Changsha City based on RS and GIS. Chinese Journal of Applied Ecology,2006(7):1269-1273.
8	HANSEN A, DOLPH C, FOUFOULA-GEORGIOU E, et al. Contribution of wetlands to nitrate removal at the watershed scale. Nature Geoscience,2018,11:127-132.
9	WATSON J, EVANS T, VENTER O, et al. 2018-wilderness values. Nature Ecology & Evolution,2018(2):599-610.
10	祝汉收,翟俊,侯鹏,等. 生态系统服务权衡与协同视角下的重点生态功能区保护特征. 地理学报,2022,77(5):1275-1288.
	ZHU H, ZHAI J, HOU P, et al. The protection characteristics of key ecological functional zones from the perspective of ecosystem service trade-off and synergy. Acta Geographica Sinica,2022,77(5):1275-1288.
11	HUGHEY K, CULLEN R, KERR G, et al. Application of the pressure-state-response framework to perceptions reporting of the state of the New Zealand environment. Journal of Environmental Management,2004,70:85-93.
12	黄隆杨,刘胜华,李健. 城市生态用地时空动态及其相关驱动力——以武汉市为例. 长江流域资源与环境,2019,28(5):1059-1069.
	HUANG L, LIU S, LI J. Spatial and temporal dynamics of urban ecological land use and its related driving forces: A case study of Wuhan City. Resources and Environment in the Yangtze Basin,2019,28(5):1059-1069.
13	BAI L, XIU C, FENG X, et al. Influence of urbanization on regional habitat quality: A case study of Changchun City. Habitat International,2019,93:102042.
14	彭树宏,钱静,陈劲松,等. 基于CLUE-S模型的干旱区典型绿洲城市土地利用变化时空动态模拟研究——以新疆奎屯河流域为例. 地理与地理信息科学,2018,34(3):61-67.
	PENG S, QIAN J, CHEN J, et al. Spatio-temporal dynamic simulation of land use change of typical oasis cities in arid areas based on CLUE-S Model: A case study of Kuitun River Basin in Xinjiang. Geography and Geo-Information Science,2018,34(3):61-67.
15	朱寿红,孙玉杰,舒帮荣,等.规划政策影响下区域生态用地演变模拟研究:以南京市溧水区为例.地理与地理信息科学,2019,35(4):83-90.
	ZHU S, SUN Y, SHU B, et al. Simulation on the evolution of regional ecological land by incorporating planning policies: A case study of Lishui District, Nanjing City.Geography and Geo-Information Science,2019,35(4):83-90.
16	COCHARD R, NGUYEN V,NGO D, et al. Vietnam's forest cover changes 2005-2016: Veering from transition to (yet more) transaction? World Development,2020,135:105051.
17	MEYFROIDT P, LAMBIN E. The causes of the reforestation in Vietnam. Land Use Policy,2008,25(2):182-197.
18	GVERDTSITELI G. Authoritarian environmentalism in Vietnam: The construction of climate change as a security threat. Environmental Science & Policy,2023,140:163-170.
19	ANH D,ANH N, CHANDIO A. Climate change and its impacts on Vietnam agriculture: A macroeconomic perspective. Ecological Informatics,2023,74:101960.
20	DOAN Q. Determining the optimal land valuation model: A case study of Hanoi, Vietnam. Land Use Policy,2023,127:106578.
21	SCHAEFER M, THINH N. Evaluation of land cover change and agricultural protection sites: A GIS and Remote Sensing approach for Ho Chi Minh City, Vietnam. Heliyon,2019,5:e01773.
22	NGUYEN Q, KIM D. Reconsidering rural land use and livelihood transition under the pressure of urbanization in Vietnam: A case study of Hanoi. Land Use Policy,2020,99:104896.
23	PHUC N, WESTEN A, ZOOMERS A. Agricultural land for urban development: The process of land conversion in Central Vietnam. Habitat International,2014,41:1-7.
24	高建,李彤,贾宝全,等.生态用地空间稳定性及其格局分析:以咸阳市为例. 生态学报,2022(23):1-14.
	GAO J, LI T, JIA B, et al. Ecological land and its spatial stability analysis--Taking Xianyang City as an example.Acta Ecologica Sinica,2022(23):1-14.
25	张建国,李晶晶,殷宝库,等. 基于转移矩阵的准格尔旗土地利用变化分析. 水土保持通报,2018,38(1):131-134.
	ZHANG J, LI J, YIN B, et al. Evaluation of land use change of Jungar Banner based on land use transfer matrix. Bulletin of Soil and Water Conservation,2018,38(1):131-134.
26	李德仁,余涵若,李熙. 基于夜光遥感影像的"一带一路"沿线国家城市发展时空格局分析. 武汉大学学报(信息科学版),2017,42(6):711-720.
	LI D, YU H, LI X. The spatial-temporal pattern analysis of city development in countries along the Belt and Road Initiative based on nighttime light data. Geomatics and Information Science of Wuhan University,2017,42(6):711-720.
27	JUEZ C, GARIJO N, NADAL-ROMERO E, et al. Wavelet analysis of hydro-climatic time-series and vegetation trends of the Upper Aragón catchment (Central Spanish Pyrenees). Journal of Hydrology,2022,614:128584.
28	吴健生,罗可雨,赵宇豪. 深圳市近20年城市景观格局演变及其驱动因素. 地理研究,2020,39(8):1725-1738.
	WU J, LUO K, ZHAO Y. The evolution of urban landscape pattern and its driving forces of Shenzhen from 1996 to 2015. Geographical Research,2020,39(8):1725-1738.
29	张红,邓雯,王艺. 2000—2020年印度土地利用的时空演化及驱动因素分析. 世界地理研究,2022,31(4):786-799.
	ZHANG H, DENG W, WANG Y. Analyses on the spatio-temporal evolution and driving factors of land use in India during 2000—2020. World Regional Studies,2022,31(4):786-799.
30	刘彦文,刘成武,何宗宜,等. 基于地理加权回归模型的武汉城市圈生态用地时空演变及影响因素. 应用生态学报,2020,31(3):987-998.
	LIU Y, LIU C, HE Z, et al. Spatial-temporal evolution of ecological land and influence factors in Wuhan urban agglomeration based on geographically weighted regression model. Chinese Journal of Applied Ecology,2020,31(3):987-998.
31	NGUYEN H, DARGUSCH P, MOSS P, et al. Land-use change and socio-ecological drivers of wetland conversion in Ha Tien Plain, Mekong Delta, Vietnam. Land Use Policy,2017,64:101-113.

类别	驱动因子	驱动因子解释
自然因素	年均气温变化率	反映20a间平均每年的气温变化情况
自然因素	年均降水变化率	反映20a间平均每年的降水量变化情况
社会因素	城镇人口变化率	表征城镇人口数量变化情况
社会因素	农村人口变化率	表征农村人口数量变化情况
经济因素	地均GDP增长率	表征地区经济产值变化情况
	人均GDP增长率	表征地区人口经济发展程度
	第一产业GDP占比	表征第一产业产值在国民经济发展中的贡献率
	第二产业GDP占比	表征第二产业产值在国民经济发展中的贡献率
	第三产业GDP占比	表征第三产业产值在国民经济发展中的贡献率
	综合能源消耗量	反映能源消费水平、构成和增长速度的总量指标
政策因素	新增耕地面积	20a来新增的耕地面积规模
政策因素	建设用地面积变化率	反映政府对建设用地指标的管控程度，揭示建设用地扩张情况

类别	驱动因子	驱动因子解释
自然因素	年均气温变化率	反映20a间平均每年的气温变化情况
自然因素	年均降水变化率	反映20a间平均每年的降水量变化情况
社会因素	城镇人口变化率	表征城镇人口数量变化情况
社会因素	农村人口变化率	表征农村人口数量变化情况
经济因素	地均GDP增长率	表征地区经济产值变化情况
	人均GDP增长率	表征地区人口经济发展程度
	第一产业GDP占比	表征第一产业产值在国民经济发展中的贡献率
	第二产业GDP占比	表征第二产业产值在国民经济发展中的贡献率
	第三产业GDP占比	表征第三产业产值在国民经济发展中的贡献率
	综合能源消耗量	反映能源消费水平、构成和增长速度的总量指标
政策因素	新增耕地面积	20a来新增的耕地面积规模
政策因素	建设用地面积变化率	反映政府对建设用地指标的管控程度，揭示建设用地扩张情况

地类		2000年	2010年	2020年	2000—2010	2010—2020
生态用地	林地	161 270.86	160 366.98	153 361.47	－903.88	－7 005.51
	草地	22 121.24	20 369.52	19 534.22	－1 751.72	－835.30
	灌木地	4 551.93	5 113.63	3 944.63	561.70	－1 169.00
	湿地	2 068.03	1 912.19	1 704.74	－155.83	－207.45
	合计	190 012.06	187 762.32	178 545.07	－2 249.73	－9 217.26
非生态用地	耕地	125 806.79	127 892.07	132 172.22	2 085.28	4 280.16
	水体	7 434.21	7 063.08	7 978.61	－371.13	915.53
	人造地表	5 938.95	6 442.23	10 330.77	503.27	3 888.54
	裸地	231.53	232.27	400.48	0.74	168.21
	合计	139 411.49	141 629.65	150 882.08	2 218.16	9 252.43

地类		2000年	2010年	2020年	2000—2010	2010—2020
生态用地	林地	161 270.86	160 366.98	153 361.47	－903.88	－7 005.51
	草地	22 121.24	20 369.52	19 534.22	－1 751.72	－835.30
	灌木地	4 551.93	5 113.63	3 944.63	561.70	－1 169.00
	湿地	2 068.03	1 912.19	1 704.74	－155.83	－207.45
	合计	190 012.06	187 762.32	178 545.07	－2 249.73	－9 217.26
非生态用地	耕地	125 806.79	127 892.07	132 172.22	2 085.28	4 280.16
	水体	7 434.21	7 063.08	7 978.61	－371.13	915.53
	人造地表	5 938.95	6 442.23	10 330.77	503.27	3 888.54
	裸地	231.53	232.27	400.48	0.74	168.21
	合计	139 411.49	141 629.65	150 882.08	2 218.16	9 252.43

用地类型		生态用地				非生态用地
用地类型		林地	草地	灌木地	湿地	耕地	人造地表	水体	裸地
生态用地	林地	140 685.79	6 059.09	1 565.50	35.27	11 751.65	271.83	756.52	116.62
	草地	6 761.57	11 349.56	435.11	17.08	2 931.87	253.28	244.33	120.52
	灌木地	1 431.72	439.29	1 401.97	4.33	1 100.87	63.44	109.13	0.00
	湿地	106.12	32.59	9.13	1 074.53	559.87	99.36	175.16	8.85
非生态用地	耕地	4 109.20	1 413.95	498.21	387.65	113 193.51	4 765.53	1 373.48	50.78
	人造地表	25.42	76.49	6.17	4.90	1 041.89	4 735.58	41.98	5.38
	水体	206.87	143.01	27.60	175.51	1 469.72	122.35	5 251.89	16.59
	裸地	4.89	15.01	0.00	2.02	109.50	15.91	3.01	80.94