黄土高原社会-生态系统恢复力时空变化特征与影响因素分析

doi:10.12118/j.issn.1000-6060.2021.386

Abstract

Abstract:

The resilience of social-ecological systems provides a new perspective for sustainable development research. In order to solve the problem of highly unbalanced development in ecologically vulnerable areas and achieve the goal of sustainable development, the resilience of social-ecological systems was studied by establishing an evaluation index system. The set pair analysis method was then used to measure the resilience of each subsystem and the social-ecological system in the Loess Plateau of China from 2000 to 2018. Finally, exploratory spatial data analysis was used to analyze spatio-temporal evolutionary patterns, and barrier degree models were used to identify the main influencing factors. As a result, we found the following: (1) social-ecological system resilience gradually increased from 0.522 to 0.721, with the Guanzhong Plain region always a higher value than others. The social resilience increased from 0.548 to 0.629 and then decreased to 0.525. The regions with high social resilience are mainly in provincial capitals such as Lanzhou and Tongchuan City, and the enhancement is closely related to policy support for western regions. Economic resilience increased from 0.401 to 0.850, and its distribution pattern was consistent with urban agglomeration. Ecological resilience decreased from 0.725 to 0.607 and then increased to 0.734. However, ecological resilience presented a gradual distribution from west to east, and its enhancement was closely related to policy and climate warming and humidification trends. This indicates that the evolutionary trend of each subsystem’s resilience was not coordinated, but the evolutionary trend of economic resilience was coordinated with the social-ecological system. Improving the resilience of economic systems significantly promotes the resilience of social-ecological systems. (2) There was a pronounced spatial agglomeration trend in the resilience of social-ecological systems. Except for the provincial capitals and energy-rich regions such as Baotou City, the Guanzhong Plain region always showed a high-high cluster. In contrast, the resilience of other regions was relatively low. The areas with low resilience were mainly concentrated in western regions such as Yinchuan City. In contrast, the areas with high resilience were concentrated primarily on the Guanzhong Plain such as Baoji and Xi’an City. (3) Since 2000, per capita GDP has been a major influential factor in all respects. The barriers to ecological maintenance of social-ecological resilience in the Loess Plateau were higher than the socio-economic aspects. Except for a slight increase in ecological barriers in individual areas, a gradually decreasing trend can be observed in most areas, indicating that ecological policies are successful and that ecological building is one of the important strategies to improve the resilience of the social-ecological systems.

Key words: social-ecological system, resilience, set pair analysis (SPA), exploratory spatial data analysis (ESDA), the Loess Plateau

YE Wenli,YANG Xinjun,WU Kongsen,WANG Yin. Spatio-temporal characteristics and influencing factors of social-ecological system resilience in the Loess Plateau[J].Arid Land Geography, 2022, 45(3): 912-924.

Figures/Tables 8

Fig. 1

Fig. 2

Tab. 1

Fig. 3

Tab. 2

Fig. 4

Tab. 3

Tab. 4

References 47

[1]	孙晶, 王俊, 杨新军. 社会-生态系统恢复力研究综述[J]. 生态学报, 2007, 27(12): 5371-5381.
	[ Sun Jing, Wang Jun, Yang Xinjun. An overview on the resilience of social-ecological systems[J]. Acta Ecologica Sinica, 2007, 27(12): 5371-5381. ]
[2]	Folke C, Carpenter S, Elmqvist T, et al. Resilience and sustainable development: Building adaptive capacity in a world of transformations[J]. Ambio: A Journal of the Human Environment, 2002, 31(5): 437-440. doi: 10.1579/0044-7447-31.5.437 pmid: 12374053
[3]	黄晓军, 王博, 刘萌萌, 等. 社会-生态系统恢复力研究进展-基于CiteSpace的文献计量分析[J]. 生态学报, 2019, 39(8): 3007-3017.
	[ Huang Xiaojun, Wang Bo, Liu Mengmeng, et al. Research progress on the resilience of socio-ecosystem: A bibliometric analysis based on CiteSpace[J]. Acta Ecologica Sinica, 2019, 39(8): 3007-3017. ]
[4]	Jessica C, Michael C, Georgina C, et al. Understanding the context of multifaceted collaborations for social-ecological sustainability: A methodology for cross-case analysis[J]. Ecology and Society, 2020, 25(3): 7, doi: 10.5751/ES-11527-250307 doi: 10.5751/ES-11527-250307
[5]	Ostrom E. A general framework for analyzing sustainability of social-ecological systems[J]. Science, 2009, 325(5939): 419-421. doi: 10.1126/science.1172133
[6]	Olsson P, Galaz V, Boonstra W J. Sustainability transformations: A resilience perspective[J]. Ecology and Society, 2014, 19(4): 1, doi: 10.5751/ES-06799-190401. doi: 10.5751/ES-06799-190401
[7]	Holling C S. Resilence and stability of ecological aystems[J]. Annual Review of Ecology and Systematics, 1973, 4(1): 1-23. doi: 10.1146/annurev.es.04.110173.000245
[8]	Holling C S. Understanding the complexity of economic, ecological, and social systems[J]. Ecosystems, 2001, 4(5): 390-405. doi: 10.1007/s10021-001-0101-5
[9]	Alliance R. Assessing and managing resilience in social-ecological systems: A practitioners workbook[DB/OL]. [2007-06-01]. http://www.resalliance.org/3871.php.
[10]	Folke C, Carpenter S, Elmqvist T, et al. Resilience and sustainable development: Building adaptive capacity in a world of transformations[J]. Royal Swedish Academy of Sciences, 2002, 31(5): 437-440.
[11]	Walker B, Holling C S, Carpenter S. Resilience, adaptability and transformability in social-ecology systems[J]. Ecology and Society, 2004, 9(2): 5, doi: 10.1890/04-0463. doi: 10.1890/04-0463
[12]	Adger W N, Hughes T P, Folke C, et al. Social-ecological resilience to coastal disasters[J]. Science, 2005, 309(5737): 1036-1039. pmid: 16099974
[13]	Cumming G S, Barnes G, Perz S, et al. An exploratory framework for the empirical measurement of resilience[J]. Ecosystems, 2005(8): 975-987.
[14]	Michael G L, Deborah P, Robert W D. Towards a social-ecological resilience framework for coastal planning[J]. Land Use Policy, 2013, 30(1): 925-933. doi: 10.1016/j.landusepol.2012.06.012
[15]	Tilt B, Gerkey D. Dams and population displacement on China’s Upper Mekong River: Implications for social capital and social-ecological resilience[J]. Global Environmental Change, 2016, 36: 153-162. doi: 10.1016/j.gloenvcha.2015.11.008
[16]	Bennett E M, Cumming G S, Peterson G D. A systems model approach to determining resilience surrogates for case studies[J]. Ecosystems, 2005, 8: 945-957. doi: 10.1007/s10021-005-0141-3
[17]	Perz S G, Munoz-Carpena R, Kiker G, et al. Evaluating ecological resilience with global sensitivity and uncertainty analysis[J]. Ecological Modelling, 2013, 263: 174-186. doi: 10.1016/j.ecolmodel.2013.04.024
[18]	Gulay C C. Assessment of the resilience of socio-ecological production landscapes and seascapes: A case study from Lefke Region of north Cyprus[J]. Ecological Indicators, 2017, 73: 128-138. doi: 10.1016/j.ecolind.2016.09.036
[19]	Chaiteera P, Budsara L. Indicators for assessing social-ecological resilience: A case study of organic rice production in northern Thailand[J]. Kasetsart Journal of Social Sciences, 2018, 39(3): 414-421. doi: 10.1016/j.kjss.2017.07.003
[20]	周晓芳. 社会-生态系统恢复力的测量方法综述[J]. 生态学报, 2017, 37(12): 4278-4288.
	[ Zhou Xiaofang. Measuring methods for the resilience of social ecological systems[J]. Acta Ecologica Sinica, 2017, 37(12): 4278-4288. ]
[21]	刘小茜, 裴韬, 舒华, 等. 基于文献计量学的社会-生态系统恢复力研究进展[J]. 地球科学进展, 2019, 34(7): 765-777.
	[ Liu Xiaoqian, Pei Tao, Shu Hua, et al. A bibliometric investigation of research on social-ecological system resilience[J]. Advances in Earth Science, 2019, 34(7): 765-777. ]
[22]	汪兴玉, 王俊, 白红英, 等. 基于农户尺度的社会-生态系统对干旱的恢复力研究-以甘肃省榆中县为例[J]. 水土保持通报, 2008, 28(1): 14-18.
	[ Wang Xingyu, Wang Jun, Bai Hongying, et al. Social ecosystem based on peasant household versus drought resilience: A case study in Yuzhong County of Gansu Province[J]. Bulletin of Soil and Water Conservation, 2008, 28(1): 14-18. ]
[23]	张行, 梁小英, 刘迪, 等. 生态脆弱区社会-生态景观恢复力时空演变及情景模拟[J]. 地理学报, 2019, 74(7): 1450-1466. doi: 10.11821/dlxb201907013
	[ Zhang Hang, Liang Xiaoying, Liu Di, et al. The resilience evolution and scenario simulation of social-ecological landscape in the fragile area[J]. Acta Geographica Sinica, 2019, 74(7): 1450-1466. ] doi: 10.11821/dlxb201907013
[24]	王群, 陆林, 杨兴柱. 千岛湖社会-生态系统恢复力测度与影响机理[J]. 地理学报, 2015, 70(5): 779-795. doi: 10.11821/dlxb201505009
	[ Wang Qun, Lu Lin, Yang Xingzhu. Study on measurement and impact mechanism of socio-ecological system resilience in Qiandao Lake[J]. Acta Geographica Sinica, 2015, 70(5): 779-795. ] doi: 10.11821/dlxb201505009
[25]	陈亚慧. 神农架林区社会-生态系统恢复力测度与影响机理[D]. 武汉: 华中师范大学, 2018.
	[ Chen Yahui. Study on measurement and impact mechanism of socio-ecological system resilience in Shennongjia Forest District[D]. Wuhan: Central China Normal University, 2018. ]
[26]	侯彩霞, 周立华, 文岩, 等. 生态政策下草原社会-生态系统恢复力评价--以宁夏盐池县为例[J]. 中国人口·资源与环境, 2018, 28(8): 117-126.
	[ Hou Caixia, Zhou Lihua, Wen Yan, et al. Evaluation of social-ecological systems resilience in ecological policy[J]. China Population, Resources and Environment, 2018, 28(8): 117-126. ]
[27]	孙锐, 陈少辉, 苏红波. 黄土高原不同生态类型NDVI时空变化及其对气候变化响应[J]. 地理研究, 2020, 39(5): 1200-1214. doi: 10.11821/dlyj020190399
	[ Sun Rui, Chen Shaohui, Su Hongbo. Spatiotemporal variation of NDVI in different ecotypes on the Loess Plateau and its response to climate change[J]. Geographical Research, 2020, 39(5): 1200-1214. ] doi: 10.11821/dlyj020190399
[28]	党小虎, 吴彦斌, 刘国彬, 等. 生态建设15年黄土高原生态足迹时空变化[J]. 地理研究, 2018, 37(4): 761-771. doi: 10.11821/dlyj201804010
	[ Dang Xiaohu, Wu Yanbin, Liu Guobin, et al. Spatial-temporal changes of ecological footprint in the Loess Plateau after ecological construction between 1995 and 2010[J]. Geographical Research, 2018, 37(4): 761-771. ] doi: 10.11821/dlyj201804010
[29]	吴景全, 吴铭婉, 臧传富. 西北诸河流域土地利用变化及土地生态安全评估[J]. 干旱区地理, 2021, 44(5): 1471-1482.
	[ Wu Jingquan, Wu Mingwan, Zang Chuanfu. Land use change and land ecological security assessment in the river basins of northwestern China[J]. Arid Land Geography, 2021, 44(5): 1471-1482. ]
[30]	Folke C, Hahn T, Olsson P, et al. Adaptive governance of social-ecological systems[J]. Annual Review of Environment and Resources, 2005, 30: 441-473. doi: 10.1146/annurev.energy.30.050504.144511
[31]	Pimm S L. The complexity and stability of ecosystems[J]. Nature, 1984, 307: 321-326. doi: 10.1038/307321a0
[32]	余光中, 李波, 张新时. 社会生态系统及脆弱性驱动机制分析[J]. 生态学报, 2014, 34(7): 1870-1879.
	[ Yu Guangzhong, Li Bo, Zhang Xinshi. Social ecological system and vulnerability driving mechanism analysis[J]. Acta Ecologica Sinica, 2014, 34(7): 1870-1879. ]
[33]	Carpenter S R, Westley F, Turner M G. Surrogates for resilience of social-ecological systems[J]. Ecosystems, 2005, 8(8): 941-944. doi: 10.1007/s10021-005-0170-y
[34]	孙东琪, 朱传耿, 周婷. 苏、鲁产业结构比较分析[J]. 经济地理, 2010, 30(11): 1847-1853.
	[ Sun Dongqi, Zhu Chuangeng, Zhou Ting. Comparative study on the industrial structure of Jiangsu Province and Shandong Province[J]. Economic Geography, 2010, 30(11): 1847-1853. ]
[35]	柳冬青, 张金倩, 巩杰, 等. 陇中黄土丘陵区土地利用强度-生态系统服务-人类类福祉时空关系研究--以安定区为例[J]. 生态学报, 2019, 39(2): 637-648.
	[ Liu Dongqing, Zhang Jinqian, Gong Jie, et al. Spatial and temporal relations among land-use intensity, ecosystem services, and human well-being in the Longzhong loess hilly region: A case study of the Anding District, Gansu Province[J]. Acta Ecologica Sinica, 2019, 39(2): 637-648. ]
[36]	吴秀芹, 张艺潇, 吴斌, 等. 沙区聚落模式及人居环境质量评价研究--以宁夏盐池县北部风沙区为例[J]. 地理研究, 2010, 29(9): 1683-1694. doi: 10.11821/yj2010090014
	[ Wu Xiuqin, Zhang Yixiao, Wu Bin, et al. Study on the settlement pattern in sandy area and its quality evaluation: A case study of sandy area in the north of Yanchi County[J]. Geographical Research, 2010, 29(9): 1683-1694. ] doi: 10.11821/yj2010090014
[37]	赵克勤. 集对分析及其初步应用[M]. 杭州: 浙江科学技术出版社, 2003: 1-32.
	[ Zhao Keqin. Set pair analysis and its preliminary application[M]. Hangzhou: Zhejiang Science and Technology Publishing House, 2003: 1-32. ]
[38]	李博, 苏飞, 杨智, 等. 基于脆弱性视角的环渤海地区人海关系地域系统时空特征及演化分析[J]. 生态学报, 2018, 38(4): 1436-1445.
	[ Li Bo, Su Fei, Yang Zhi, et al. Vulnerability-based analysis of the spatial-temporal dynamic patterns of the human-sea territorial system of the Bohai-rim region, China[J]. Acta Ecologica Sinica, 2018, 38(4): 1436-1445. ]
[39]	李博, 杨智, 苏飞. 基于集对分析的大连市人海经济系统脆弱性测度[J]. 地理研究, 2015, 34(5): 967-976. doi: 10.11821/dlyj201505015
	[ Li Bo, Yang Zhi, Su Fei. Measurement of vulnerability in human-sea economic system based on set pair analysis: A case study of Dalian City[J]. Geographical Research, 2015, 34(5): 967-976. ] doi: 10.11821/dlyj201505015
[40]	李博, 杨智, 苏飞, 等. 基于集对分析的中国海洋经济系统脆弱性研究[J]. 地理科学, 2016, 36(1): 47-54. doi: 10.13249/j.cnki.sgs.2016.01.006
	[ Li Bo, Yang Zhi, Su Fei, et al. Vulnerability measurement of chinese marine economic system based on set pair analysis[J]. Scientia Geographica Sinica, 2016, 36(1): 47-54. ] doi: 10.13249/j.cnki.sgs.2016.01.006
[41]	孟宪萌, 胡和平. 基于熵权的集对分析模型在水质综合评价中的应用[J]. 水利学报, 2009, 40(3): 257-262.
	[ Meng Xianmeng, Hu Heping. Application of set pair analysis model based on entropy weight to comprehensive evaluation of water quality[J]. Journal of Hydraulic Engineering, 2009, 40(3): 257-262. ]
[42]	杨振, 丁启燕, 王念, 等. 中国人口健康脆弱性地区差异与影响因素分析[J]. 地理科学, 2018, 38(1): 135-142. doi: 10.13249/j.cnki.sgs.2018.01.015
	[ Yang Zhen, Ding Qiyan, Wang Nian, et al. Distribution characteristics of health vulnerability and its influence factors in China[J]. Scientia Geographica Sinica, 2018, 38(1): 135-142. ] doi: 10.13249/j.cnki.sgs.2018.01.015
[43]	苏飞, 张平宇. 基于集对分析的大庆市经济系统脆弱性评价[J]. 地理学报, 2010, 65(4): 454-464.
	[ Su Fei, Zhang Pingyu. Vulnerability assessment of petroleum city’s economic system based on set pair analysis: A case study of Daqing City[J]. Acta Geographica Sinica, 2010, 65(4): 454-464. ]
[44]	黄越, 程静, 王鹏. 中国北方农牧交错区生态脆弱性时空演变格局与驱动因素--以盐池县为例[J]. 干旱区地理, 2021, 44(4): 1175-1185.
	[ Huang Yue, Cheng Jing, Wang Peng. Spatiotemporal evolution pattern and driving factors of ecological vulnerabilityin agro-pastoral region in northern China: A case of Yanchi County in Ningxia[J]. Arid Land Geography, 2021, 44(4): 1175-1185. ]
[45]	周国华, 刘畅, 唐承丽, 等. 湖南乡村生活质量的空间格局及其影响因素[J]. 地理研究, 2018, 37(12): 2475-2489. doi: 10.11821/dlyj201812009
	[ Zhou Guohua, Liu Chang, Tang Chengli, et al. Spatial pattern and influencing factors of quality of life in rural areas of Hunan Province[J]. Geographical Research, 2018, 37(12): 2475-2489. ] doi: 10.11821/dlyj201812009
[46]	孙才志, 董璐, 郑德凤. 中国农村水贫困风险评价、障碍因子及阻力类型分析[J]. 资源科学, 2014, 36(5): 895-905.
	[ Sun Caizhi, Dong Lu, Zheng Defeng. Rural water poverty risk evaluation, obstacle indicators and resistance paradigms in China[J]. Resources Science, 2014, 36(5): 895-905. ]
[47]	杨永春, 穆焱杰, 张薇. 黄河流域高质量发展的基本条件与核心策略[J]. 资源科学, 2020, 42(3): 409-423.
	[ Yang Yongchun, Mu Yanjie, Zhang Wei. Basic conditions and core strategies of high-quality development in the Yellow River Basin[J]. Resources Science, 2020, 42(3): 409-423. ]

维度层（权重）	要素层	指标层	指标解释（方向）	AHP权重	均方差权重	最终权重
社会系统（0.333）	脆弱性	人口密度（X1）/人·km^-2	衡量系统压力状态（-）	0.037	0.065	0.051
		人均固定资产投资（X2）/10⁴元	衡量社会资本投资额度（+）	0.083	0.035	0.059
		财政支出（X3）/10⁴元	衡量社会财政支出力度（+）	0.091	0.037	0.064
	适应能力	社会消费品总额（X4）/10⁴元	衡量系统消费能力（+）	0.058	0.026	0.042
		普通中学在校学生数占人口比重（X5）/%	衡量社会教育程度（+）	0.029	0.036	0.032
		每万人医疗机构床位数（X6）/个	衡量医疗卫生水平（+）	0.060	0.022	0.041
	脆弱性	金融机构贷款（X7）/10⁴元	衡量地方经济水平（-）	0.014	0.029	0.021
经济系统（0.333）	脆弱性	产业结构多样化指数（X8）	衡量产业结构平衡程度（+）	0.090	0.137	0.114
	规模以上工业企业产值（X9）/10⁴元		衡量地方工业水平（+）	0.058	0.054	0.056
	适应能力	财政收入（X10）/10⁴元	衡量地方政府经济水平（+）	0.016	0.031	0.024
		金融机构存款余额（X11）/10⁴元	衡量人口收入水平（+）	0.015	0.027	0.021
		人均GDP（X12）/元	衡量人均经济水平（+）	0.139	0.020	0.079
生态系统（0.333）	脆弱性	化肥使用强度（X13）/t·hm^-2	衡量对环境的污染程度（-）	0.017	0.031	0.024
		地形破碎度（X14）	衡量地形破碎程度（-）	0.061	0.100	0.081
		降水量（X15）/mm	衡量自然条件（+）	0.129	0.089	0.109
	适应能力	NDVI（X16）	衡量系统自然条件（+）	0.062	0.121	0.091
		造林面积（X17）/hm²	衡量系统自然条件（+）	0.012	0.049	0.030
		土地利用强度（X18）	衡量系统适应能力（+）	0.027	0.064	0.046

指标	2000年	2010年	2018年
Moran’s I指数	0.348	0.518	0.418
Z	14.025	20.689	16.749
P	0.000	0.000	0.000

省份	社会维度			经济维度			生态维度
省份	2000年	2010年	2018年	2000年	2010年	2018年	2000年	2010年	2018年
青海	29.62	31.52	31.74	35.45	32.99	29.12	34.93	35.49	39.13
甘肃	34.12	34.38	33.47	29.03	30.49	32.46	36.85	35.13	34.07
宁夏	32.43	32.61	31.32	27.97	29.51	30.12	39.60	37.88	38.56
内蒙古	31.72	32.69	32.48	32.01	30.99	29.97	36.26	36.32	37.56
陕西	34.98	35.64	34.97	30.74	32.91	32.35	34.28	31.45	32.69
山西	34.47	33.86	33.75	30.30	32.55	33.06	34.23	33.14	33.46
河南	34.92	35.67	34.96	34.92	35.97	33.59	30.16	28.36	31.45

年份	青海	甘肃	宁夏	内蒙古	陕西	山西	河南
2000	X8（14.10）	X12（12.71）	X15（13.10）	X15（13.05）	X12（13.01）	X12（12.71）	X12（13.17）
	X12（10.79）	X3（10.30）	X12（11.93）	X12（11.53）	X3（10.53）	X3（10.20）	X3（10.67）
	X15（9.58）	X15（10.29）	X16（10.23）	X3（9.33）	X2（9.71）	X15（9.73）	X2（9.84）
	X3（8.74）	X2（9.47）	X3（9.66）	X16（9.16）	X15（9.58）	X2（9.64）	X8（9.25）
	X2（8.03）	X9（8.94）	X2（8.78）	X8（8.61）	X9（9.13）	X16（9.17）	X9（9.12）
2010	X12（11.79）	X12（12.98）	X15（12.57）	X15（12.42）	X12（13.12）	X14（14.87）	X12（13.57）
	X8（9.81)	X3（10.32）	X12（12.16）	X12（12.25）	X3（10.63）	X12（12.78）	X3（10.60）
	X3（9.30）	X15（9.99）	X3（9.64）	X3（9.49）	X2（9.82）	X3（9.96）	X8（10.27）
	X15（9.16）	X2（9.58）	X2（8.89）	X16（8.71）	X9（8.95）	X15（9.73）	X2（9.67）
	X2（8.71）	X9（8.98）	X16（8.34）	X2（8.58）	X15（7.96）	X2（9.42）	X9（7.77）
2018	X15（12.43）	X12（13.00）	X15（13.54）	X15（13.58）	X12（13.55）	X14（13.64）	X12（14.22）
	X12（12.21）	X15（10.63）	X12（12.11）	X12（12.64）	X3（10.31）	X12（12.91）	X3（10.42）
	X3（9.39）	X3（9.79）	X3（9.01）	X3（9.16）	X15（9.47）	X15（10.28）	X8（8.76）
	X9（8.38）	X2（9.17）	X2（8.45）	X2（8.56）	X2（9.43）	X3（9.77）	X2（8.10）
	X2（8.14）	X9（8.56）	X9（8.20）	X9（8.02）	X9（9.02）	X2（9.45）	X4（7.25）

Spatio-temporal characteristics and influencing factors of social-ecological system resilience in the Loess Plateau

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 47

Related Articles 15

Metrics

Comments

Recommended 0

[1]	WANG Songmao, NING Wenping, NIU Jinlan, AN Kang. Spatiotemporal differentiation and convergence of urban ecological resilience in the Yellow River Basin: An empirical analysis based on 61 cities in seven major urban agglomerations [J]. Arid Land Geography, 2024, 47(1): 93-103.
[2]	ZHOU Cheng, ZHAO Yaling, ZHANG Xuhong, ZHOU Lin, REN Minmin. Spatiotemporal evolutionary characteristics and coordinated development of urban ecological resilience and efficiency in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(9): 1514-1523.
[3]	AN Bin,XIAO Weiwei,LIU Yufeng,LIU Quanyu. Temporal and spatial evolution of relative humidity in the Loess Plateau during 1955—2021 [J]. Arid Land Geography, 2023, 46(12): 1939-1950.
[4]	ZHUO Jing,HU Hao,HE Huijuan,WANG Zhi,YANG Chengrui. Spatiotemporal variation and driving factors of ecological vulnerability in the Loess Plateau of northern Shaanxi [J]. Arid Land Geography, 2023, 46(11): 1768-1777.
[5]	SHENG Yanchao, TAN Zuosi, LI Qian, XU Lingling. Can the digital economy promote the resilience of the tourism economy in the Yellow River Basin? [J]. Arid Land Geography, 2023, 46(10): 1704-1713.
[6]	HE Bingjing,LIU Yaolong,ZHANG Huaming,FENG Jieyao. Theoretical analysis and empirical study of the nexus of disaster risk and poverty in China [J]. Arid Land Geography, 2022, 45(5): 1649-1658.
[7]	LI Su,LIU Haonan. Spatio-temporal pattern evolution of coupling coordination between urbanization and ecological resilience in arid region: A case of Ningxia Hui Autonomous Region [J]. Arid Land Geography, 2022, 45(4): 1281-1290.
[8]	LI Guanfeng,JIAO Huafu,WANG Qun. Interannual variation and influencing factors of social-ecological system resilience of cultural tourism destination in arid area: A case of Dunhuang City, Gansu Province [J]. Arid Land Geography, 2022, 45(3): 935-945.
[9]	JI Zhenxia,HOU Qingqing,PEI Tingting,CHEN Ying,XIE Baopeng,WU Huawu. Sensitive response of vegetation phenology to seasonal drought in the Loess Plateau [J]. Arid Land Geography, 2022, 45(2): 557-565.
[10]	TIAN Darui,TANG Hao,TAN Jingbin. Suitable spatial patterns for settlements in hilly-gully region of the Loess Plateau in northern Shaanxi: A case of Donggou, Mizhi County [J]. Arid Land Geography, 2022, 45(1): 263-276.
[11]	SHANG Haiyang,SONG Nini. Poverty risk, livelihood resilience and prevention strategy practice: Investigation and analysis of 8 counties in Qilian Mountains National Nature Reserve [J]. Arid Land Geography, 2021, 44(6): 1784-1795.
[12]	FU Aihong,CHENG Yong,LI Weihong,ZHU Chenggang,CHEN Yapeng. Effects of ecological water conveyance on ecological resilience of desert riparian forests in the lower reaches of Tarim River [J]. Arid Land Geography, 2021, 44(3): 620-628.
[13]	WANG Jun,LI Guang,NIE Zhigang,DONG Lixia,YAN Lijuan. Simulation study of response of spring wheat yield to drought stress in the Loess Plateau of central Gansu [J]. Arid Land Geography, 2021, 44(2): 494-506.
[14]	ZHANG Weimin,WANG Jinghong,LIU Lu,ZHANG Yong. Change and trend prediction of water and heat resource of jujube planting zones in the hilly area of the Loess Plateau in the northern Shaanxi [J]. Arid Land Geography, 2021, 44(1): 73-79.
[15]	CHEN Qi,XUE Dongqian,MA Beibei,DAI Lanhai,SONG Yongyong. Population shrinking pattern and driving forces in the Loess Plateau region [J]. Arid Land Geography, 2021, 44(1): 258-267.