2000—2020年“一江两河”地区耕地集约利用变化

doi:10.13866/j.azr.2024.05.12

Abstract

Abstract:

Farmland use intensity is an important factor to improve food production, alleviate the conflict between humans and land, and achieve sustainable agricultural development. Based on the farmland data obtained from high spatial resolution remote sensing images, this paper explores the farmland use intensity and its driving mechanism in the Yarlung Zangbo-Lhasa-Nyangqu River (YLN) region in 2000 and 2020 through a comprehensive evaluation index model. The results show that: (1) the degree of farmland use intensity in the YLN region has increased in the past 20 years, but the overall level is low. The farmland use intensity in 2020 was 38.2% higher than in 2000, which is mainly attributable to the increase in agricultural input, technological input, and the exploitation and utilization level. (2) There is a large difference in the change in farmland use intensity among different districts and counties; the high intensity areas migrated from east to west and increased in scope. The difference in farmland use intensity between east and west regions narrowed, and the number of low intensity districts and counties decreased. (3) The irrigation index, proportion of farmland area, and farmland quality have the most significant independent effects on the degree of farmland use intensity in the YLN, whereas socioeconomic factors, agricultural science and technology factors, and policy and environment factors interact with farmland resource endowment to increase the degree of impact on the farmland use intensity. Based on the above results, the following policy recommendations are proposed: the continuous promotion of agricultural science and technology innovation in the YLN region with a focus on regional differences, to realize sustainable development in high intensity areas and total factor inputs in low intensity areas, and facilitate the synergistic effects of agricultural policy and economy to coordinate and promote enhanced farmland use intensity in the YLN region.

Key words: farmland use intensity, the Yarlung Zangbo-Lhasa-Nyangqu River (YLN) region, comprehensive index evaluation, driving mechanism, high spatial resolution

SANG Yiming, XIN Liangjie. Changes of farmland use intensity in the YLN region from 2000 to 2020[J].Arid Zone Research, 2024, 41(5): 843-855.

Figures/Tables 8

Fig. 1

Tab. 1

Tab. 2

Fig. 2

Fig. 3

Fig. 4

Tab. 3

Driving factors of farmland use intensity"

驱动因素	变量	类型
耕地资源禀赋	人均耕地面积（ $X 1$ ）/（hm²·人^-1）	连续
	耕地面积比重（ $X 2$ ）/%	连续
	耕地质量（ $X 3$ ）/（t·hm^-2）	连续
社会经济因素	人均GDP（ $X 4$ ）/（元·人^-1）	连续
	农民人均纯收入（ $X 5$ ）/（元·人^-1）	连续
	农业总产值（ $X 6$ ）/元	连续
政策环境因素	农业产业政策（ $X 7$ ）	连续
农业科技因素	农业机械化水平（ $X 8$ ）/（kW·hm^-2）	连续
农业科技因素	灌溉指数（ $X 9$ ）	连续

Tab. 3

Fig. 5

References 33

[1]	刘杜娟, 刘芳苹, 牛文浩, 等. 1985—2018年内蒙古自治区耕地集约利用时空变化及其驱动因素[J]. 水土保持通报, 2022, 42(4): 365-372.
	[Liu Dujuan, Liu Fangping, Niu Wenhao, et al. Spatiatemporal changes and driving factors of cultivated land intensive use in Inner Mongolia Autonomous Region from 1985 to 2018[J]. Bulletin of Soil and Water Conservation, 2022, 42(4): 365-372.]
[2]	Liu Y X, Liu S L, Sun Y X, et al. Driving forces of cultivated land evolution in agro-pastoral areas on the Qinghai-Tibet Plateau based on ecological niche theory[J]. Journal of Cleaner Production, 2021, 313: 127899.
[3]	王鹏, 秦思彤, 胡慧蓉. 近30 a拉萨河流域土地利用变化和生境质量的时空演变特征[J]. 干旱区研究, 2023, 40(3): 492-503.
	[Wang Peng, Qin Sitong, Hu Huirong. Spatial-temporal evolution characteristics of land use change and habitat quality in the Lhasa River Basin over the past three decades[J]. Arid Zone Research, 2023, 40(3): 492-503.]
[4]	李秀彬, 朱会义, 谈明洪, 等. 土地利用集约度的测度方法[J]. 地理科学进展, 2008, 27(6): 12-17. doi: 10.11820/dlkxjz.2008.06.002
	[Li Xiubin, Zhu Huiyi, Tan Minghong, et al. Measurement of land use intensity[J]. Progress In Geography, 2008, 27(6): 12-17.] doi: 10.11820/dlkxjz.2008.06.002
[5]	大卫·李嘉图. 政治经济学及赋税原理[M]. 郭大力, 王亚南译. 北京: 商务印书馆, 1976.
	[David Ricard. Principles of Political Economy and Taxation[M]. Guo Dali, Wang Yanan trans. Beijing: The Commercial Press, 1976.]
[6]	李子瑞, 姜博, 张余, 等. 东北三省新型城镇化与耕地集约利用协调性评价与预测[J]. 水土保持研究, 2021, 28(6): 260-267.
	[Li Zirui, Jiang Bo, Zhang Yu, et al. Evaluation and prediction of coordination between new urbanization and intensive use of cultivated land in three northeastern provinces of China[J]. Research of Soil and Water Conservation, 2021, 28(6): 260-267.]
[7]	Zhou X, Yu J, Li J, et al. Spatial correlation among cultivated land intensive use and carbon emission efficiency: A case study in the Yellow River Basin, China[J]. Environmental Science and Pollution Research, 2022, 29: 43341-43360.
[8]	曹银贵, 周伟, 王静, 等. 基于主成分分析与层次分析的三峡库区耕地集约利用对比[J]. 农业工程学报, 2010, 26(4): 291-296.
	[Cao Yingui, Zhou Wei, Wang Jing, et al. Comparative on regional cultivated land intensive use based on principal component analysis and analytic hierarchy process in Three Gorges Reservoir Area[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(4): 291-296.]
[9]	赵映慧, 赵旭朦, 宁静, 等. 基于市域尺度的东北地区农地集约利用研究[J]. 中国农业资源与区划, 2020, 41(3): 169-177.
	[Zhao Yinghui, Zhao Xumeng, Ning Jing, et al. Study on the intensive use of agricultural land in Northeast China based on city scale[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(3): 169-177.]
[10]	Xie H L, Huang Y Q, Choi Y G, et al. Evaluating the sustainable intensification of cultivated land use based on emergy analysis[J]. Technological Forecasting & Social Change, 2021, 165: 120449.
[11]	Lyu X, Peng W L, Niu S D, et al. Evaluation of sustainable intensification of cultivated land use according to farming households’ livelihood types[J]. Ecological Indicators, 2022, 138: 108848.
[12]	马聪, 刘黎明, 袁承程, 等. 快速城镇化地区不同生计类型农户耕地利用集约度评价——以上海市青浦区为例[J]. 中国土地科学, 2017, 31(10): 69-78.
	[Ma Cong, Liu Liming, Yuan Chengcheng, et al. Evaluation of cultivated land use intensity of different types of rural household livelihood strategies in rapid urbanization area: A case of Qingpu District in Shanghai City[J]. China Land Sciences, 2017, 31(10): 69-78.]
[13]	井睿, 张蚌蚌, 赵敏娟, 等. 近35年中国耕地集约度时空变化特征分析[J]. 水土保持研究, 2019, 26(5): 353-358, 365.
	[Jing Rui, Zhang Bengbeng, Zhao Minjuan, et al. Spatiotemporal characteristics of intensive cultivated land use in China in recent 35 years[J]. Research of Soil and Water Conservation, 2019, 26(5): 353-358, 365.]
[14]	Hu Q, Xiang M T, Chen D, et al. Global cropland intensification surpassed expansion between 2000 and 2010: A spatio-temporal analysis based on GlobeLand30[J]. Science of the Total Environment, 2020, 746: 141035.
[15]	杨媛媛, 姚尧, 郝帅. 基于GWR模型的贵州省耕地集约利用水平时空变化特征及影响因素分析[J]. 水土保持研究, 2022, 29(1): 326-332, 338.
	[Yang Yuanyuan, Yao Yao, Hao Shuai. Spatial-temporal variations and influencing factors of intensified cultivated land use level in Guizhou Province based on GWR model[J]. Research of Soil and Water Conservation, 2022, 29(1): 326-332, 338.]
[16]	王业侨. 节约和集约用地评价指标体系研究[J]. 中国土地科学, 2006, 20(3): 24-31.
	[Wang Yeqiao. Study on indictors for the assessment of land saving and intensive use[J]. China Land Sciences, 2006, 20(3): 24-31.]
[17]	程兰花, 杨德刚, 张新焕, 等. 基于PSR模型的新疆县域耕地集约利用时空演化特征[J]. 干旱区研究, 2018, 35(2): 493-502.
	[Cheng Lanhua, Yang Degang, Zhang Xinhuan, et al. Spatiotemporal evolution of intensive cultivated land use in the county-level regions in Xinjiang based on the PSR model[J]. Arid Zone Research, 2018, 35(2): 493-502.]
[18]	Liang X Y, Jin X B, Xu X X, et al. A stage of cultivated land use towards sustainable intensification in China: Description and identification on anti-intensification[J]. Habitat International, 2022, 125: 102594.
[19]	李丹, 田沛佩, 罗红英, 等. 西藏“一江两河”耕地生态安全时空格局与障碍诊断[J]. 农业机械学报, 2020, 51(10): 213-222.
	[Li Dan, Tian Peipei, Luo Hongying, et al. Spatio-temporal characteristics and obstacle diagnosis of cultivated land ecological security in “one river and two tributaries” region in Tibet[J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(10): 213-222.]
[20]	Wang X, Zhou D, Jiang G, et al. How can the sustainable goal of cultivated land use in the Qinghai-Tibet Plateau be realized? —based on a research framework of cultivated land use patterns[J]. Frontiers in Environmental Science, 2023, 11: 1134136.
[21]	伦丹. 西藏“一江两河”流域农作物种植区时空分布特征研究[D]. 重庆: 西南大学, 2017.
	[Lun Dan. Study on Spatio-temporal Variations of Crop Planting Areas in the Valley of Brahmaputra and Lhasa River and Nian-chu River, Tibet, China[D]. Chongqing: Southwest University, 2017.]
[22]	吕晓, 牛善栋, 李振波, 等. 中国耕地集约利用研究现状及趋势分析[J]. 农业工程学报, 2015, 31(18): 212-224.
	[Lü Xiao, Niu Shandong, Li Zhenbo, et al. Present situation and trends in research on cultivated land intensive use in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(18): 212-224.]
[23]	邹健, 龙花楼. 改革开放以来中国耕地利用与粮食生产安全格局变动研究[J]. 自然资源学报, 2009, 24(8): 1366-1377. doi: 10.11849/zrzyxb.2009.08.005
	[Zou Jian, Long Hualou. The variation of farmland use and the security pattern of grain production in China since 1978[J]. Journal of Natural Resources, 2009, 24(8): 1366-1377.] doi: 10.11849/zrzyxb.2009.08.005
[24]	理查德·西奥多·伊利, 爱德华·莫尔豪斯. 土地经济学原理[M]. 滕维藻译. 北京: 商务印书馆, 1982: 28.
	[Richard Theodore Ely, Edward Morehouse. Elements of Land Economics[M]. Teng Weizao trans trans. Beijing: The Commercial Press, 1982: 28.]
[25]	陈瑜琦, 李秀彬. 1980年以来中国耕地利用集约度的结构特征[J]. 地理学报, 2009, 64(4): 469-478.
	[Chen Yuqi, Li Xiubin. Structural change of agricultural land use intensity and its regional disparity in China[J]. Acta Geographica Sinica, 2009, 64(4): 469-478.] doi: 10.11821/xb200904009
[26]	Brookfield H C. Intensification and disintensification in Pacific agriculture[J]. Pacific Viewpoint, 1972, 13(1): 30-48.
[27]	雷利·巴洛维. 土地资源经济学: 不动产经济学[M]. 谷树忠译. 北京: 北京农业大学出版社, 1989.
	[Raleigh Barlowe. Land Resources Economics: The Economics of Real Estate[M]. Gu Shuzhong trans trans. Beijing: Beijing Agricultural University Press, 1989.]
[28]	居尔艾提·吾布力, 安瓦尔·买买提明, 薛东前. 城镇化与耕地集约利用水平及其耦合协调发展——以新疆阿克苏市为例[J]. 干旱区研究, 2019, 36(6): 1333-1343.
	[Jueraiti Wubuli, Anwaer Maimaitiming, Xue Dongqian. Coupling and coordinated development of urbanization and intensive utilization of cultivated land: A case study in Aksu City, Xinjiang[J]. Arid Zone Research, 2019, 36(6): 1333-1343.]
[29]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010
[30]	桑一铭, 卢亚晗, 王学, 等. 青藏高原“一江两河”地区耕地分布数据集[J]. 全球变化数据学报, 2022, 6(4): 627-638.
	[Sang Yiming, Lu Yahan, Wang Xue, et al. Farmland distribution dataset of the Yarlung Zangbo-Lhasa-Nyangqu River region of the Tibetan Plateau[J]. Journal of Global Change Data & Discovery, 2022, 6(4): 627-638.]
[31]	马聪, 刘黎明. 不同经济发展水平地区耕地利用集约度比较[J]. 资源科学, 2019, 41(12): 2296-2306. doi: 10.18402/resci.2019.12.13
	[Ma Cong, Liu Liming. Cultivated land use intensity in regions with different economic development levels[J]. Resources Science, 2019, 41(12): 2296-2306.] doi: 10.18402/resci.2019.12.13
[32]	王鹏, 程文仕. 基于岭回归模型的酒泉市耕地集约利用度及驱动因素研究[J]. 国土与自然资源研究, 2022, 44(4): 1-5.
	[Wang Peng, Cheng Wenshi. Research on intensive utilization and driving factors of cultivated land in Jiuquan City based on ridge regression model[J]. Territory & Natural Resources Study, 2022, 44(4): 1-5.]
[33]	余强, 王占岐, 杨俊, 等. 基于生态环境脆弱性的西藏土地整治项目规划[J]. 国土资源科技管理, 2014, 31(2): 33-39.
	[Yu Qiang, Wang Zhanqi, Yang Jun, et al. Land consolidation project planning and design in Tibet against eco-environment fragility[J]. Scentific and Technological Management of Land and Resources, 2014, 31(2): 33-39.]

目标层	准则层	权重	指标层	权重	指标说明	单位
耕地利用集约度	劳动力投入强度	0.186	地均劳动力投入（+）	0.055	农业劳动力/耕地面积	人·hm^-2
	农资投入强度	0.207	地均农业机械投入（+）	0.126	农业机械总动力/耕地面积	kW·hm^-2
			地均化肥投入（+）	0.042	化肥施用量/耕地面积	kg·hm^-2
			地均农药投入（+）	0.054	农药使用量/耕地面积	kg·hm^-2
			地均地膜投入（+）	0.199	地膜使用量/耕地面积	kg·hm^-2
	技术投入水平	0.236	农业科技进步贡献率（+）	0.070	农业总产值增长率-物质费用产出弹性×物质费用增长率-劳动力产出弹性×劳动力增长率-耕地产出弹性×耕地增长率。物质费用、劳动力和耕地的产出弹性，分别取0.55、0.20和0.25	无量纲
	开发利用水平	0.371	复种指数（+）	0.028	农作物总面积/耕地面积	无量纲
			灌溉指数（+）	0.023	有效灌溉面积/耕地面积	无量纲
			垦殖系数（+）	0.035	耕地面积/土地总面积	无量纲
			机耕化率（+）	0.027	机耕面积/耕地面积	无量纲
			设施农业占比（+）	0.341	设施农业面积/耕地面积	无量纲

指标	年份	平均值	中位数	最小值	最大值	标准差
地均劳动力投入	2000年	1.83	1.97	0.95	2.76	0.55
地均劳动力投入	2020年	0.98	0.82	0.43	2.09	0.36
地均农业机械投入	2000年	4.01	1.85	0.50	35.05	7.62
地均农业机械投入	2020年	26.34	19.69	7.16	90.43	21.73
地均化肥投入	2000年	81.61	71.16	20.83	152.23	35.68
地均化肥投入	2020年	112.53	121.56	16.03	311.45	78.86
地均农药投入	2000年	2.03	1.42	0.00	10.21	2.29
地均农药投入	2020年	0.88	0.38	0.00	3.72	0.98
地均地膜投入	2000年	0.38	0.08	0.00	4.29	0.98
地均地膜投入	2020年	3.28	0.54	0.13	17.01	5.21
农业科技进步贡献率	2000年	0.01	0.04	-0.19	0.15	0.09
农业科技进步贡献率	2020年	0.16	0.08	-0.04	0.56	0.18
复种指数	2000年	0.50	0.46	0.36	0.72	0.09
复种指数	2020年	0.32	0.37	0.05	0.40	0.09
灌溉指数	2000年	0.41	0.43	0.02	0.67	0.15
灌溉指数	2020年	0.43	0.43	0.27	0.55	0.07
垦殖系数	2000年	0.04	0.04	0.01	0.09	0.02
垦殖系数	2020年	0.04	0.04	0.01	0.09	0.02
机耕化率	2000年	0.13	0.08	0.00	0.42	0.14
机耕化率	2020年	0.26	0.27	0.00	0.49	0.14
设施农业占比	2000年	0.04	0.00	0.00	0.55	0.12
设施农业占比	2020年	0.01	0.00	0.00	0.14	0.03

Changes of farmland use intensity in the YLN region from 2000 to 2020

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 33

Related Articles 2

Metrics

Comments

Recommended 0

[1]	LYU Zhuangzhuang, QIAO Qingqing, DONG Sunyi, WANG Dong. Paleoclimatic evolution and driving mechanisms in arid areas of inland Asia during the Middle Miocene Climatic Optimum in the context of global climate warming [J]. Arid Zone Research, 2024, 41(8): 1309-1322.
[2]	YANG Xuefeng,YE Mao,Munire Maimaiti. Structural parameter acquisition of Populus euphratica by WorldView-2 remote sensing image [J]. Arid Zone Research, 2021, 38(6): 1659-1667.