甘肃省冷凉区宜农空间识别与开发

doi:10.12118/j.issn.1000-6060.2024.236

Abstract

Abstract:

The cold climate of the mountainous areas of northwest China is a vital resource for transforming agriculture and developing a characteristic agricultural economy. In particular, Gansu Province has emerged as an area where the strategic utilization of cold and cool climatic conditions significantly contributes to high-quality advances in agriculture. This study, guided by the holistic “Greater Food” perspective, aims to construct a comprehensive theoretical framework for enhancing the cold and cool-climate agricultural practices in Gansu Province. A robust methodological approach was adopted to identify regions suitable for cold-climate agriculture. This approach integrates eight categories of natural indicators and analyzes their spatial overlap to identify regions in Gansu Province that offer suitable cool climate conditions. For further refining the analysis, K-means clustering was applied to classify 169249 fishing nets, each with 1 km precision, to delineate specific agricultural function zones within these cool areas. This meticulous analysis revealed that the cold and cool regions in Gansu Province together cover an area of approximately 1.69×10⁵ km², which constitutes about 41.97% of the total land area of the province. These regions are distributed across 12 cities (autonomous prefectures), 68 counties (districts), and 1034 townships. The agricultural activities in these areas are predominantly focused on animal husbandry and plantation, with limited forestry practices, highlighting the potential of this region for specialized agricultural development. These cold and cool areas were further categorized into seven types of agricultural development zones: the alpine pastoral area of the Beishan Desert, the dry and cold pastoral area of the Qilian Mountains, the dry and cold pastoral area of the Loess Plateau, the wet and cold pastoral area of the Gannan Plateau, the warm and cold cultivation area of the Hexi Corridor, the warm and cold agricultural and animal husbandry area of the Longzhong Mountain, and the wet and cold agricultural, forestry, and animal husbandry area of the Longnan Mountain. Among these zones, four are primarily dedicated to pastoral activities, one is primarily used for farming, and two support a mix of agricultural and animal husbandry practices. The statistical analysis based on 1 km fishing net units revealed that cool pastoralism dominates 56.22% of the land use, while plantation agriculture and mixed agriculture account for 16.30% and 27.49%, respectively. On an administrative unit scale, the distribution of these agricultural types is more balanced, with each representing around 30% of the townships and districts. In conclusion, the development of cold- and cool-climate agriculture in Gansu Province presents a strategic opportunity to leverage regional comparative advantages. Effective utilization of these areas can enhance agricultural productivity, promote sustainable land use practices, and foster economic growth in the mountainous regions in Gansu Province. This comprehensive zoning analysis provides a foundational framework for policymakers and stakeholders to implement targeted agricultural strategies, maximizing the benefits of cold-climate agriculture and driving the high-quality development of agriculture in the province.

Key words: cold and cool area, cold and cool type agriculture, agricultural type, Greater Food approach, Gansu Province

HU Shuyun, LU Yuqi. Identification and development of arable land in cold and cool areas of Gansu Province[J].Arid Land Geography, 2025, 48(2): 257-270.

Figures/Tables 9

Fig. 1

Fig. 2

Fig. 3

Tab. 1

Fig. 4

Fig. 5

Fig. 6

Tab. 2

Fig. 7

References 35

[1]	朱晓华, 张燕, 朱媛媛. 大食物观视角下中国耕地保护的分区调控与区间协同[J]. 地理学报, 2023, 78(9): 2147-2162. doi: 10.11821/dlxb202309003
	[Zhu Xiaohua, Zhang Yan, Zhu Yuanyuan. Regional regulation and interregional coordination of cultivated land protection in China from the perspective of “Greater Food” approach[J]. Acta Geographica Sinica, 2023, 78(9): 2147-2162. ] doi: 10.11821/dlxb202309003
[2]	王念, 程昌秀, 林耿. 中国农产品贸易结构演化及对粮食安全的影响[J]. 地理学报, 2022, 77(10): 2599-2615. doi: 10.11821/dlxb202210012
	[Wang Nian, Cheng Changxiu, Lin Geng. Evolving agricultural trade structure and its impact on food security in China[J]. Acta Geographica Sinica, 2022, 77(10): 2599-2615. ] doi: 10.11821/dlxb202210012
[3]	Yan D H, Wu S H, Tang Y S, et al. Arable land and water footprints for food consumption in China: From the perspective of urban and rural dietary change[J]. Science of the Total Environment, 2022, 838: 155749, doi: 10.1016/j.scitotenv.2022.155749.
[4]	Zhu X H, Zhang Y, Zhu Y Y, et al. The shift to plant-based dietary patterns in China would have significant effects on cultivated land resources[J]. Science Bulletin, 2024, 69(6): 737-740.
[5]	刘彦随, 陆大道. 中国农业结构调整基本态势与区域效应[J]. 地理学报, 2003, 58(3): 381-389.
	[Liu Yansui, Lu Dadao. The basic trend and regional effect of agricultural structure adjustment in China[J]. Acta Geographica Sinica, 2003, 58(3): 381-389. ] doi: 10.11821/xb200303007
[6]	朱晶, 李天祥, 林大燕. 开放进程中的中国农产品贸易: 发展历程、问题挑战与政策选择[J]. 农业经济问题, 2018, 39(12): 19-32.
	[Zhu Jing, Li Tianxiang, Lin Dayan. China’s agricultural trade in economic opening-up: Development, challenges and future policy alternatives[J]. Issues in Agricultural Economy, 2018, 39(12): 19-32. ]
[7]	张少尧, 邓伟, 胡茂桂, 等. 山区过渡性地理空间人文自然交互性识别与分异解析[J]. 地理学报, 2022, 77(5): 1225-1243. doi: 10.11821/dlxb202205013
	[Zhang Shaoyao, Deng Wei, Hu Maogui, et al. Identification and differentiation of human-nature interaction in mountainous transitional geospace of China[J]. Acta Geographica Sinica, 2022, 77(5): 1225-1243. ] doi: 10.11821/dlxb202205013
[8]	关慧明. 气流循环暨冷凉生态对农业的影响及利用[M]. 北京: 群众出版社, 2013.
	[Guan Huiming. Influence and utilization of air circulation and cool ecological environment on agriculture[M]. Beijing: Masses Publishing House, 2013. ]
[9]	索亚林, 兰妮, 兰云峰. 中国北方冷凉气候生态经济带(区)发展分析与展望[J]. 农业展望, 2020, 16(12): 72-77.
	[Suo Yalin, Lan Ni, Lan Yunfeng. Analysis and prospect of the development of eco-economic zones (regions) with cold climate in northern China[J]. Outlook on Agriculture, 2020, 16(12): 72-77. ]
[10]	胡舒云, 陆玉麒, 胡国建. 中国中海拔地区冷凉型农业生态资源识别、开发与启示[J]. 自然资源学报, 2024, 39(2): 446-464. doi: 10.31497/zrzyxb.20240213
	[Hu Shuyun, Lu Yuqi, Hu Guojian. Identification, development and insight of cold and cool agro-ecological resources in the middle altitude region of China[J]. Journal of Natural Resources, 2024, 39(2): 446-464. ] doi: 10.31497/zrzyxb.20240213
[11]	江小莉, 温铁军, 施俊林. “两山”理念的三阶段发展内涵和实践路径研究[J]. 农村经济, 2021, 39(4): 1-8.
	[Jiang Xiaoli, Wen Tiejun, Shi Junlin. Three-phase development connotation and practice paths of the “Two Mountains” concept[J]. Rural Economy, 2021, 39(4): 1-8. ]
[12]	张义丰, 王又丰, 刘录祥, 等. 河北省阳原县冷凉性气候资源开发与蔬菜产业结构调整[J]. 地理科学进展, 2002, 21(4): 374-382.
	[Zhang Yifeng, Wang Youfeng, Liu Luxiang, et al. Exploitation of cool-cold weather resource and structure adjustment of vegetable industry of Yangyuan County, Hebei Province[J]. Progress in Geography, 2002, 21(4): 374-382. ]
[13]	张毅功, 臧士国, 张爱军, 等. 太行山冷凉区域气候资源的农业利用技术——以河北省顺平县复兴村为例[J]. 山地学报, 2001, 19(3): 270-273.
	[Zhang Yigong, Zang Shiguo, Zhang Aijun, et al. Application of agricultural climatic resources at cold and cool areas in Mt. Taihang: A case study on Fuxing Village in Shunping County of Hebei Province[J]. Mountain Research, 2001, 19(3): 270-273. ]
[14]	颜亮东, 伏洋, 李凤霞, 等. 青海省冷凉气候资源分区及其开发利用[J]. 资源科学, 2006, 30(1): 157-162.
	[Yan Liangdong, Fu Yang, Li Fengxia, et al. Cold climate regionalization and the development and utilization of climate resources in Qinghai Province[J]. Resources Science, 2006, 30(1): 157-162. ]
[15]	龙花楼, 李秀彬. 中国耕地转型与土地整理: 研究进展与框架[J]. 地理科学进展, 2006, 25(5): 67-76.
	[Long Hualou, Li Xiubin. Cultivated-land transition and land consolidation and reclamation in China: Research progress and frame[J]. Progress in Geography, 2006, 25(5): 67-76. ]
[16]	龙花楼, 戈大专, 王介勇. 土地利用转型与乡村转型发展耦合研究进展及展望[J]. 地理学报, 2019, 74(12): 2547-2559.
	[Long Hualou, Ge Dazhuan, Wang Jieyong. Progress and prospects of the coupling research on land use transitions and rural transformation development[J]. Acta Geographica Sinica, 2019, 74(12): 2547-2559. ]
[17]	李升发, 李秀彬. 中国山区耕地利用边际化表现及其机理[J]. 地理学报, 2018, 73(5): 803-817. doi: 10.11821/dlxb201805002
	[Li Shengfa, Li Xiubin. Economic characteristics and the mechanism of farmland marginalization in mountainous areas of China[J]. Acta Geographica Sinica, 2018, 73(5): 803-817. ] doi: 10.11821/dlxb201805002
[18]	臧玉珠, 刘彦随, 杨园园. 山区县域土地利用格局变化及其地形梯度效应——以井冈山市为例[J]. 自然资源学报, 2019, 34(7): 1391-1404. doi: 10.31497/zrzyxb.20190704
	[Zang Yuzhu, Liu Yansui, Yang Yuanyuan. Land use pattern change and its topographic gradient effect in the mountainous areas: A case study of Jinggangshan City[J]. Journal of Natural Resources, 2019, 34(7): 1391-1404. ] doi: 10.31497/zrzyxb.20190704
[19]	陈志钢, 徐孟. 大食物观引领下低碳减排与粮食安全的协同发展: 现状、挑战与对策[J]. 农业经济问题, 2023, 44(6): 77-85.
	[Chen Zhigang, Xu Meng. Meeting low-carbon and food security objectives of China agri-food system under the Greater Food approach: Status quo, challenges, and pathways[J]. Issues in Agricultural Economy, 2023, 44(6): 77-85. ]
[20]	殷伟, 于会娟, 仇荣山, 等. 陆海统筹视域下的中国食物与营养安全[J]. 资源科学, 2022, 44(4): 674-686. doi: 10.18402/resci.2022.04.03
	[Yin Wei, Yu Huijuan, Qiu Rongshan, et al. Food and nutrition security in China from the perspective of land-ocean coordination[J]. Resources Science, 2022, 44(4): 674-686. ] doi: 10.18402/resci.2022.04.03
[21]	中共中央办公厅, 国务院办公厅. 中共中央国务院关于做好2023年全面推进乡村振兴重点工作的意见[EB/OL]. [2024-01-18]. http://www.gov.cn/zhengce/2023-02/13/content_5741370.htm.
	[ General Office of the Communist Party of China Central Committee, General Office of the State Council. Opinion of the CPC Central Committee and the State Council on promoting rural revitalization in an all-round way in 2023[EB/OL]. [2024-01-18]. http://www.gov.cn/zhengce/2023-02/13/content_5741370.htm.
[22]	朱晶, 王容博, 徐亮, 等. 大食物观下的农产品贸易与中国粮食安全[J]. 农业经济问题, 2023, 44(5): 36-48.
	[Zhu Jing, Wang Rongbo, Xu Liang, et al. Agricultural trade and China’s food security under the concept of Greater Food approach[J]. Issues in Agricultural Economy, 2023, 44(5): 36-48. ]
[23]	唐园结, 邓俐, 李飞, 等. 山重水复终有路[N/OL]. 农民日报, 2020-12-28[2024-1-21]. https://www.moa.gov.cn/xw/qg/202012/t20201228_6358914.
	[Tang Yuanjie, Deng Li, Li Fei, et al. There is a way out of the mountain[N/OL]. Farmers Daily, 2020-12-28[2024-1-21]. https://www.moa.gov.cn/xw/qg/202012/t20201228_6358914. ]
[24]	张志良, 徐勤, 杨晓鹏. 甘肃农业生产布局[M]. 兰州: 甘肃科学技术出版社, 1990.
	[Zhang Zhiliang, Xu Qin, Yang Xiaopeng. Agricultural production layout in Gansu[M]. Lanzhou: Gansu Science and Technology Press, 1990. ]
[25]	陈明星, 梁龙武, 王振波, 等. 美丽中国与国土空间规划关系的地理学思考[J]. 地理学报, 2019, 74(12): 2467-2481. doi: 10.11821/dlxb201912004
	[Chen Mingxing, Liang Longwu, Wang Zhenbo, et al. Geographical thinking on the relationship between beautiful China and land spatial planning[J]. Acta Geographica Sinica, 2019, 74(12): 2467-2481. ] doi: 10.11821/dlxb201912004
[26]	荣丽华, 李伊彤. 国土空间规划背景下畜牧业生产适宜性评价与分区——以锡林郭勒盟镶黄旗为例[J]. 干旱区地理, 2023, 46(7): 1166-1175. doi: 10.12118/j.issn.1000-6060.2022.549
	[Rong Lihua, Li Yitong. Suitability evaluation and zoning of livestock production under the background of national land space planning: A case of Xianghuang Banner of Xilin Gol League[J]. Arid Land Geography, 2023, 46(7): 1166-1175. ] doi: 10.12118/j.issn.1000-6060.2022.549
[27]	廖柳文, 高晓路, 龙花楼, 等. 基于农户利用效率的平原和山区耕地利用形态比较[J]. 地理学报, 2021, 76(2): 471-486. doi: 10.11821/dlxb202102016
	[Liao Liuwen, Gao Xiaolu, Long Hualou, et al. A comparative study of farmland use morphology in plain and mountainous areas based on farmers’ land use efficiency[J]. Acta Geographica Sinica, 2021, 76(2): 471-486. ] doi: 10.11821/dlxb202102016
[28]	Xiong X, Zhang L, Hao Y, et al. Urban dietary changes and linked carbon footprint in China: A case study of Beijing[J]. Journal of Environmental Management, 2020, 255: 109877, doi: 10.1016/j.jenvman.2019.109877.
[29]	宋乃平, 卞莹莹, 王磊, 等. 农牧交错带农牧复合系统的可持续机制[J]. 生态学报, 2020, 40(21): 7931-7940.
	[Song Naiping, Bian Yingying, Wang Lei, et al. Sustainable mechanism of agro-pastoral complex system in agro-pastoral ecotone[J]. Acta Ecologica Sinica, 2020, 40(21): 7931-7940. ]
[30]	王新友, 王玉娇. 耕地撂荒的文献计量分析: 脉络和展望[J]. 干旱区地理, 2023, 46(5): 804-813. doi: 10.12118/j.issn.1000-6060.2022.417
	[Wang Xinyou, Wang Yujiao. Bibliometric analysis of cultivated land abandonment: Context and prospect[J]. Arid Land Geography, 2023, 46(5): 804-813. ] doi: 10.12118/j.issn.1000-6060.2022.417
[31]	吴风华. 地理信息系统基础[M]. 武汉: 武汉大学出版社, 2014.
	[Wu Fenghua. Geographic information system fundamentals[M]. Wuhan: Wuhan University Press, 2014. ]
[32]	樊杰, 周侃, 盛科荣, 等. 中国陆域综合功能区及其划分方案[J]. 中国科学: 地球科学, 2023, 53(2): 236-255.
	[Fan Jie, Zhou Kan, Sheng Kerong, et al. Territorial function differentiation and its comprehensive regionalization in China[J]. Science China Earth Sciences, 2023, 53(2): 236-255. ]
[33]	侯志华, 崔晓琪, 樊晓霞. 流域乡村聚落发展潜能评测及分区振兴路径——以汾河流域为例[J]. 干旱区地理, 2023, 46(4): 649-657. doi: 10.12118/j.issn.1000-6060.2022.258
	[Hou Zhihua, Cui Xiaoqi, Fan Xiaoxia. Partitioning paths for development potential of rural settlements in watershed: Take Fenhe River Basin as an example[J]. Arid Land Geography, 2023, 46(5): 649-657. ]
[34]	甘肃省农业区划委员会. 甘肃省农业区域综合开发规划[M]. 北京: 改革出版社, 1993.
	[ Agricultural Regionalization Committee of Gansu Province. Comprehensive development plan for agricultural regions of Gansu Province[M]. Beijing: Reform Press, 1993. ]
[35]	刘升元, 李新文, 刘风会. 市场经济与甘肃农业发展对策[M]. 兰州: 甘肃科学技术出版社, 1995.
	[Liu Shengyuan, Li Xinwen, Liu Fenghui. Countermeasures for agricultural development in Gansu Province under market economy[M]. Lanzhou: Gansu Science and Technology Press, 1995. ]

指标类别	具体指标	数据来源	权重/%
地形地貌	海拔高度（DEM）	地理空间数据云（ASTER GDEM V3 版， http://www.gscloud.cn）	1.86
	坡度	基于30 m分辨率DEM地形数据计算	5.14
	地形起伏度	基于30 m分辨率DEM地形数据计算	3.01
水资源	干燥度	中国科学院资源环境数据中心（中国气象要素年度空间插值数据集， https://doi.org/10.12078/2022082501）	4.67
	年均湿润指数		0.74
	年均降水量		3.24
风力资源	年均风速	中国科学院资源环境数据中心（中国气象要素年度空间插值数据集， https://doi.org/10.12078/2022082501）	1.50
光热资源	≥10 ℃积温	中国科学院资源环境数据中心（中国气象要素年度空间插值数据集， https://doi.org/10.12078/2022082501）	1.11
	年均日照时间		1.30
	年均气温		1.33
	月均昼夜温差	全球2010—2020年覆盖陆地表面的0.5°分辨率的月度数据（https://crudata.uea.ac.uk/cru/data/hrg/）	0.21
	7月均温		0.73
	1月均温		0.71
植被资源	归一化植被指数（NDVI）	中国科学院资源环境数据中心[中国年度植被指数（NDVI）空间分布数据集， http://www.resdc.cn/10.12078/2018060601]	3.65
土地资源	草地占比	国家青藏高原科学数据中心（中国土地覆被占比数据集， https://doi.org/10.6084/m9.figshare.13147928.v4.）	6.79
	耕地占比		15.05
	林地占比		25.01
	荒地占比		10.89
农田资源	农田生产潜力	中国科学院资源环境数据中心（中国农田生产潜力数据集， http://www.resdc.cn/10.12078/2017122301）	0.68
农田资源	光温生产潜力	中国科学院空天信息创新研究院（全球植被光温生产潜力数据集， http://www.aircas.cas.cn/）	12.38

指标类别	具体指标	Ⅰ	Ⅱ	Ⅲ	Ⅳ	Ⅴ	Ⅵ	Ⅶ
地形地貌	海拔高度/m	2987.63	3125.55	2771.31	1784.16	1724.22	1737.85	2347.97
	坡度/(°)	3.83	11.52	8.86	4.09	6.79	7.65	12.03
	地形起伏度/(°)	313.62	361.92	322.11	181.62	176.66	177.85	280.27
水资源	干燥度	10.59	0.96	2.58	2.98	1.56	1.45	1.34
	湿润指数	-56.78	21.05	-23.77	-35.95	-10.32	-14.88	-0.64
	降水量/mm	82.09	550.87	264.76	223.21	457.74	417.00	507.86
风力资源	风速/m·s^-1	3.34	2.54	3.09	2.34	1.99	2.08	2.29
光热资源	≥10 ℃积温/℃	1160.83	641.53	810.29	2525.02	2452.26	2358.31	1675.18
	年均日照时间/h	3171.84	2039.97	2784.91	2668.59	2120.78	2315.29	1973.68
	月均昼夜温差/℃	16.48	14.72	15.63	15.65	12.11	12.54	11.56
	年均气温/℃	0.01	1.13	-0.55	6.16	6.77	6.56	4.52
	7月均温/℃	17.49	15.06	16.72	23.14	22.61	22.39	18.63
	1月均温/℃	-14.44	-7.59	-11.69	-7.94	-5.23	-6.03	-5.66
植被资源	归一化植被指数（NDVI）	0.13	0.82	0.60	0.34	0.72	0.60	0.81
土地覆被	草地占比/%	0.25	0.83	0.84	0.85	0.05	0.64	0.34
	耕地占比/%	0.00	0.05	0.08	0.02	0.90	0.28	0.34
	林地占比/%	0.00	0.11	0.07	0.00	0.03	0.06	0.32
	荒地占比/%	0.74	0.00	0.01	0.12	0.00	0.00	0.00
农田资源	农田生产潜力	52.88	39.49	48.83	72.16	62.52	66.60	52.81
农田资源	光温生产潜力	0.01	0.18	0.37	0.14	0.95	0.83	0.70

Identification and development of arable land in cold and cool areas of Gansu Province

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 35

Related Articles 15

Metrics

Comments

Recommended 0

[1]	TANG Yandong, ZANG Cuiping, YU Yunpeng, YU Qinglin. Developmental characteristics and influencing factors of gullies based on fractal theory in eastern Gansu Province [J]. Arid Land Geography, 2025, 48(2): 223-233.
[2]	JIANG Xiaoxiao, LI Xuemei, HAN Hui, XU Min, LING Hongbo. Influence of land use transformation on carbon storage change in Gansu Province [J]. Arid Land Geography, 2024, 47(12): 2075-2082.
[3]	TAN Dan, NIE Canqi, HUANG Wubin, LI Wenyao, XIE Lijun. Characteristic and potential prediction of thunderstorm in Gansu Province [J]. Arid Land Geography, 2024, 47(12): 2083-2092.
[4]	ZHANG Junxia, HUANG Wubin, LI Antai, YANG Xiumei, LI Qian, BIAN Hongwei. Fine meteorological risk early warning forecast of main geological disasters in Gansu Province [J]. Arid Land Geography, 2023, 46(9): 1443-1452.
[5]	YANG Sicun,HUO Lin,WANG Chengbao,WEN Meijuan. Characteristics of agricultural carbon emissions in Gansu Province based on STIRPAT model [J]. Arid Land Geography, 2023, 46(9): 1493-1502.
[6]	MA Zhenbang,WANG Sijian,LI Wei,LYU Peng,GUO Xiaodong. Poverty evolution and its implications in the Liupan Mountain Area of Gansu Province from 1986 to 2020 [J]. Arid Land Geography, 2023, 46(9): 1545-1555.
[7]	CHEN Long, ZHANG Zhibin, ZHAO Xuewei, GUO Qianqian, GUO yan. Formation mechanism and development strategy of regional spatial pattern of Gansu Province [J]. Arid Land Geography, 2023, 46(9): 1556-1566.
[8]	LUO Rongji, WANG Hongtao, WANG Cheng. Ecological quality evaluation of Gulang County in Gansu Province based on improved remote sensing ecological index [J]. Arid Land Geography, 2023, 46(4): 539-549.
[9]	WU Xi, CHEN Qiangqiang. Influencing factors and decoupling efforts of industry-related carbon emissions in Gansu Province [J]. Arid Land Geography, 2023, 46(2): 274-283.
[10]	LU Chenyu,HUANG Ping,ZHANG Tong,LIU Xiaowan,CHENG Wei. Spatiotemporal evolution and driving factors of the green development efficiency in Gansu Province [J]. Arid Land Geography, 2023, 46(2): 305-315.
[11]	ZHANG Juan, YAO Xiaojun, LI Jing, WANG Xiaoyan. Agricultural drought research based on multi-source remote sensing data in Gansu Province [J]. Arid Land Geography, 2023, 46(1): 11-22.
[12]	CAO Yanchao,JIAO Meiling,QIN Tuo,GUO Tong. Variation characteristics and influencing factors of summer half-year precipitation in Hedong region of Gansu Province from 1973 to 2020 [J]. Arid Land Geography, 2022, 45(6): 1695-1706.
[13]	CAI Jia,BAI Yongping,CHEN Zhijie,CHE Lei,WANG Zhiguo,XIE Lixia. Optimization of tourism spatial structure from the perspective of all-for-one tourism in Gansu Province [J]. Arid Land Geography, 2021, 44(2): 544-551.
[14]	JIA Jian-ying, LIU Rong, HAN Lan-ying, WAN Xin, WANG Da-wei. Applicability of modified water budget index in winter wheat drought monitoring of Gansu Province [J]. Arid Land Geography, 2020, 43(4): 871-879.
[15]	WANG Quan-xi, SUN Peng-ju, LIU Xue-lu, REN Jun, LIU Yong-kang. Spatial-temporal differentiation and situation of spatial coordination degree on land use in Gansu Province [J]. Arid Land Geography, 2020, 43(1): 271-279.