中俄黑龙江跨境流域1990-2020年土地覆盖与耕地资源时空变化

doi:10.19788/j.issn.2096-6369.000062

Abstract

Abstract:

The cross-border Heilongjiang Basin between China and Russia, rich in land resources, holds significant potential for food production in Northeast Asia. Grasping its past land cover and cropland changes is important for regional agricultural resource development and utilization. This study addresses the chronic lack of awareness of land cover and agricultural resources in the area. Utilizing the GlobeLand 30 and GLC_FCS 30 datasets the study obtained 30-meter resolution land-cover data for the years 1990, 2000, 2010, and 2020. Models such as the land use transfer matrix, attitude of motivation, and intensity of change were employ to analyze land cover changes in the Amur River Basin, with a focus on cropland resources and their comparison between China and Russia. The analysis reveals that forest land is the dominant land cover type, followed by grassland, cropland, water, construction land, and unutilized land. From 1990 to 2020, the cultivated land area initially decreased, then increased, with the most significant change occurring between 1990 and 2000. While the period 2010-2020 is a period of more significant increase in the area of cultivated land. Comparative analysis between China and Russia shows that the area of cultivated land in the Chinese part of the Heilongjiang Basin is much larger than that in the Russian part, and the drastic change of cultivated land in the Chinese part of the Heilongjiang Basin during the period of 1990-2000 is much higher than that of cultivated land in the Russian part of the Heilongjiang Basin, but it has been weakened significantly in the last 20 years. From the common point of view, the trend of cropland change in both the Chinese and Russian regions within the Heilongjiang basin is first decreasing and then increasing, the difference is that the total area of cropland in the Chinese region decreases and the total area of cropland in the Russian region slightly increases during the period from 1990 to 2020. The study found that population migration, urbanization, land reform and shortage of funds may be the main reasons for the changes in arable land resources, and accordingly, it suggests recommendations for future development and utilization.

Key words: land cover, cropland resources, Amur River Basin, Russia, agricultural development, China-Mongolia-Russia economic corridor

ZOU WeiHao, WANG JuanLe, YANG KeMing, LIU Meng, JIANG JiaWei, LIU YaPing. Spatio-temporal Changes of Land Cover and Cultivated Land Resources in the Cross-border Amur River Basin Between China and Russia from 1990 to 2020[J].Journal of Agricultural Big Data, 2025, 7(1): 2-13.

Figures/Tables 11

Fig. 1

Fig 2

Fig. 3

Fig 4

Table 1

Fig. 5

Table 2

Table 3

Fig. 6

Fig. 7

Table 4

References 37

[1]	DUAN D, SUN X, LIANG S, et al. Spatiotemporal patterns of cultivated land quality integrated with multi-source remote sensing: A case study of Guangzhou, China. Remote Sensing, 2022, 14(5): 1250.
[2]	FAROOQ M. Conservation agriculture and sustainable development goals. Pakistan Journal of Agricultural Sciences, 2023, 60(3): 291-298.
[3]	赵梓琦. 基于GEE的黑龙江省松花江流域水质等级遥感反演. 价值工程, 2023, 42(35): 133-135.
[4]	宁晓刚, 常文涛, 王浩, 等. 联合GEE与多源遥感数据的黑龙江流域沼泽湿地信息提取. 遥感学报, 2022, 26(2): 386-396.
[5]	张文璇, 王卷乐. 基于SAR影像后向散射特性的中俄黑龙江流域洪水监测. 地球信息科学学报, 2022, 24(4): 802-813. doi: 10.12082/dqxxkx.2022.210018
[6]	陆小琳. 基于MODIS的黑龙江流域积雪时空动态变化研究. 兰州理工大学, 2020.
[7]	JIA S, YANG Y. Spatiotemporal characteristics and driving factors of land-cover change in the Heilongjiang (Amur) River Basin. Remote Sensing, 2023, 15(15):3730. https://doi.org/10.3390/rs151537302023.
[8]	刘鸿雁, 赵雨森. 黑龙江乌裕尔河流域土地利用及景观变化分析. 水土保持研究, 2010, 17(2): 94-99.
[9]	XIAO F, WANG X, Fu C. Impacts of land use/land cover and climate change on hydrological cycle in the Xiaoxingkai Lake Basin. Journal of Hydrology: Regional Studies, 2023, 47: 101422.
[10]	LI F, ZHANG S, BU K, et al. The relationships between land use change and demographic dynamics in western Jilin province. Journal of Geographical Sciences, 2015, 25(5): 617-636. doi: 10.1007/s11442-015-1191-x
[11]	FU L, ZHANG L, HE C. Analysis of Agricultural Land Use Change in the Middle Reach of the Heihe River Basin, Northwest China. International Journal of Environmental Research and Public Health, 2014, 11(3): 2698-2712. doi: 10.3390/ijerph110302698 pmid: 24599043
[12]	XU S. Temporal and spatial characteristics of the change of cultivated land resources in the black soil region of Heilongjiang Province (China). Sustainability, 2019, 11(1): 38.
[13]	张瑞, 杜国明, 张树文. 1986—2020年东北典型黑土区耕地资源时空变化及其驱动因素. 资源科学, 2023, 45(5): 939-950. doi: 10.18402/resci.2023.05.05
[14]	刘洪彬, 高嘉鞠, 吴梦瑶, 等. 东北三省黑土区耕地数量时空格局变化及其驱动机制研究. 沈阳农业大学学报, 2022, 53(4): 444453.
[15]	LI D, HE L, QU J, et al. Spatial evolution of cultivated land in the Heilongjiang Province in China from 1980 to 2015. Environmental Monitoring and Assessment, 2022, 194(6): 444. doi: 10.1007/s10661-022-10119-3 pmid: 35596856
[16]	李丹, 周嘉, 战大庆. 黑龙江省耕地时空变化及驱动因素分析. 地理科学, 2021, 41(7): 1266-1275. doi: 10.13249/j.cnki.sgs.2021.07.017
[17]	戴长雷, 王思聪, 李治军. 黑龙江流域水文地理研究综述. 地理学报, 2015, 70(11): 1823-1834. doi: 10.11821/dlxb201511011
[18]	赵爽, 修田雨, 蔡国印, 等. Globe Land30产品精度抽样测试与分析. 地理信息世界, 2017, 24(1): 116-120.
[19]	王秀兰, 包玉海. 土地利用动态变化研究方法探讨. 地理科学进展, 1999(1): 83-89.
[20]	陈青锋, 于化龙, 张杰, 等. 怀来县土地利用/覆被变化及生态系统服务价值时空演变. 水土保持研究, 2016, 23(3): 137-143.
[21]	刘远书, 刘宇, 曾源, 等. 南水北调中线水源区土壤侵蚀变化趋势分析. 北京大学学报(自然科学版), 2015, 51(1): 171-179.
[22]	邵岩. 东北地区近300年来社会变迁下的耕地变化分析[D]. 沈阳农业大学, 2018.
[23]	李瑞雪. 1990-2010年东北地区乡村人口—耕地时空格局变化及相关关系分析[D]. 沈阳: 东北农业大学, 2016.
[24]	张慧, 何正弘, 张力文, 等. 2005—2020年黑龙江省松嫩平原耕地低碳利用效率时空格局演变及影响因素. 水土保持通报: 水土保持通报, 2024, 44 (3): 335-346.
[25]	唐莹, 孙玉晶. 粮食安全视角下东北地区耕地利用功能转型特征研究. 农业现代化研究, 2024, 45(2): 210-220.
[26]	张国平, 刘纪远, 张增祥. 近10年来中国耕地资源的时空变化分析. 地理学报, 2003(3):323-332.
[27]	徐珊. 县域耕地资源变化及其对粮食生产能力影响研究[D]. 沈阳: 东北农业大学, 2014.
[28]	封安全, 孙爱莉. 俄罗斯远东地区农业资源开发与利用. 西伯利亚研究, 2013, 40(6): 31-33.
[29]	张美雷. 阿穆尔州的农业现状与发展. 黑河学刊, 2009(4): 13-14, 130.
[30]	TRZECIAK-Duval A. A decade of transition in central and eastern European agriculture. European Review of Agriculture Economics, 1999, 26(3): 283-304.
[31]	葛新蓉. 俄远东地区农业经济发展的现代化诉求. 西伯利亚研究, 2011, 38(5): 30-34.
[32]	宋魁. 俄罗斯远东农业现状、问题与发展前景. 东欧中亚研究, 2001(5): 47-50.
[33]	张巍. 俄罗斯阿穆尔州农业发展及中俄农业合作对策. 俄罗斯中亚东欧市场, 2013(5): 48-59.
[34]	彭传勇, 石金焕. 俄罗斯阿穆尔州乡村振兴国家纲要的出台、落实及成效. 西伯利亚研究, 2022, 49(1): 28-40, 120.
[35]	杜康, 盖莉萍. 俄罗斯远东联邦区农业种植业调查. 西伯利亚研究, 2013, 40(3): 27-31.
[36]	陈志钢, 胡霜. 气候变化对全球粮食安全的影响与应对策略. 农业经济问题, 2024, (10): 44-56.
[37]	徐佳利, 刘威. 国际粮食供应链治理的中国方案. 中国外资, 2024, (17): 34-36.

转换方向	类型	1990-2000年		2000-2010年
转换方向	类型	面积（km²）	占研究区总面积比例（%）	面积（km²）	占研究区总面积比例（%）
耕地转入	林地→耕地	32723.21	1.56	2336.43	0.11
	草地→耕地	33853.23	1.61	6858.82	0.33
	水域→耕地	1539.19	0.07	522.24	0.02
	未利用地→耕地	3631.16	0.17	23.13	0.00
	建设用地→耕地	2198.80	0.10	1244.44	0.06
	合计	73945.59	3.52	10985.06	0.52
耕地转出	耕地→林地	15601.87	0.74	2803.72	0.13
	耕地→草地	57402.34	2.73	12353.21	0.59
	耕地→水域	14627.04	0.70	669.82	0.03
	耕地→未利用地	3867.69	0.18	37.14	0.00
	耕地→建设用地	7420.48	0.35	1432.41	0.07
	合计	98919.42	4.71	17296.30	0.82
耕地转入	林地→耕地	5872.01	0.28	32461.20	1.55
	草地→耕地	25552.45	1.22	37117.01	1.77
	水域→耕地	2057.99	0.10	1763.46	0.08
	未利用地→耕地	425.40	0.02	6358.54	0.30
	建设用地→耕地	2342.17	0.11	1703.69	0.08
	合计	36250.02	1.73	79403.90	3.78
耕地转出	耕地→林地	5914.27	0.28	16067.87	0.77
	耕地→草地	11609.17	0.55	52029.24	2.48
	耕地→水域	1638.09	0.08	15898.01	0.76
	耕地→未利用地	249.01	0.01	4314.21	0.21
	耕地→建设用地	5849.71	0.28	11382.34	0.54
	合计	25260.25	1.20	99691.67	4.75

研究阶段	耕地增加面积（km²）	耕地减少面积（km²）	耕地净变化面积（km²）	耕地变化动态(%)
1990-2000	73945.59	98919.42	-24973.83	-0.67
2000-2010	10985.06	17296.3	-6311.24	-0.18
2010-2020	36250.02	25260.25	10989.77	0.32

研究阶段	耕地(%)	林地(%)	草地(%)	水域(%)	未利用地(%)	建设用地(%)
1990-2000	-0.12	-1.24	1.77	0.11	-0.55	0.03
2000-2010	-0.03	0.05	-0.02	-0.01	0.00	0.00
2010-2020	0.05	-0.02	-0.07	0.00	0.00	0.03

Spatio-temporal Changes of Land Cover and Cultivated Land Resources in the Cross-border Amur River Basin Between China and Russia from 1990 to 2020

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 37

Related Articles 0

Metrics

Comments

Recommended 0