区域社会-生态系统恢复力协调发展时空演变研究——以陕西省为例

doi:10.12118/j.issn.1000－6060.2023.158

Abstract

Abstract:

Driven by multiple factors such as population growth, resource development, and urbanization, resilience provides a new research perspective for the sustainable development of regional social-ecological systems. To clarify the trend of the coordinated development of the social-ecological system in Shaanxi Province, northwest China from the perspective of resilience and provide theoretical support for the sustainable development of the regional social-ecological system based on the three subsystems of society, economy, and ecology, comprehensively considering the vulnerability and coping capacity of the system, a resilience evaluation index system was constructed. The social-ecological system resilience of 107 county-level administrative units in Shaanxi Province was measured using set-pair analysis. According to the results of the resilience measurement, the coupling coordination degree model was used to analyze the coordinated development degree of binary (social-economic, social-ecological, and economic-ecological) and ternary (social-economic-ecological) subsystems. The spatiotemporal evolution characteristics of the coordinated development degree of the subsystems from 2000 to 2020 were revealed at the regional level. The bivariate spatial autocorrelation model was introduced to further explore the quantitative and spatial correlation characteristics of the coordinated development degree changes in the binary and ternary subsystems. The results showed the following: (1) During the study period, the social and economic resilience of Shaanxi Province increased significantly, ecological resilience showed a weak downward trend, and social-ecological system resilience increased from 0.303 to 0.779. (2) The coordinated development degree of the subsystems showed an upward trend; the coordinated development degree of the social-economic subsystem increased from 0.422 to 0.823, and the difference between the high in the south and low in the north weakened. The coordinated development degree of social-ecological and economical-ecological subsystems increased from 0.471 and 0.394 to 0.714 and 0.727, respectively. These two types of binary subsystems formed a coordinated development pattern of low in the middle and high in the north and south, respectively. The coordinated development degree of social-economic-ecological subsystem increased from 0.424 to 0.755 and generally maintained the spatial distribution characteristics of high in the south and low in the north. (3) The changes in the coordinated development of the social-economic, social-ecological, and economic-ecological subsystems were positively correlated with the change in the coordinated development of the social-economic-ecological subsystem in quantity and space. There were obvious spatial agglomeration characteristics in the coordinated development degree changes of the three types of binary and ternary subsystems. The positive correlation of high-high and low-low type evaluation units was mainly distributed in the northern and middle parts of Shaanxi Province, whereas the correlation was not significant in the southern part; the evaluation units with agglomeration characteristics were scattered.

Key words: social-ecological system resilience, coordinated development, bivariate correlation, Shaanxi Province

HUANG Jiao, CHEN Hai, WANG Jiayu, BAI Xiaojuan. Spatiotemporal evolution of the coordinated development of regional social-ecological system resilience: A case study of Shaanxi Province[J].Arid Land Geography, 2024, 47(2): 343-355.

Figures/Tables 8

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References 45

[1]	宋爽, 王帅, 傅伯杰, 等. 社会-生态系统适应性治理研究进展与展望[J]. 地理学报, 2019, 74(11): 2401-2410. doi: 10.11821/dlxb201911015
	[ Song Shuang, Wang Shuai, Fu Bojie, et al. Study on adaptive governance of social-ecological system: Progress and prospect[J]. Acta Geographica Sinica, 2019, 74(11): 2401-2410. ] doi: 10.11821/dlxb201911015
[2]	刘志敏, 叶超. 社会-生态韧性视角下城乡治理的逻辑框架[J]. 地理科学进展, 2021, 40(1): 95-103. doi: 10.18306/dlkxjz.2021.01.009
	[ Liu Zhimin, Ye Chao. A logical framework of rural-urban governance from the perspective of social-ecological resilience[J]. Progress in Geography, 2021, 40(1): 95-103. ] doi: 10.18306/dlkxjz.2021.01.009
[3]	Cumming G S, Barnes G, Perz S, et al. An exploratory framework for the empirical measurement of resilience[J]. Ecosystems, 2005, 8(8): 975-987. doi: 10.1007/s10021-005-0129-z
[4]	Walker B H, Holling C S, Carpenter S R, et al. Resilience, adaptability and transformability in social-ecological systems[J]. Ecology and Society, 2004, 9(2): 5-13.
[5]	Holling C S. Understanding the complexity of econoogical and social systems[J]. Ecosystems, 2001, 4(5): 390-405. doi: 10.1007/s10021-001-0101-5
[6]	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. Process in social and ecological system resilience based on CiteSpace method[J]. Acta Ecologica Sinica, 2019, 39(8): 3007-3017. ]
[7]	展亚荣, 盖美. 滨海旅游地社会-生态系统恢复力测度及协调发展研究[J]. 地域研究与开发, 2018, 37(5): 158-164.
	[ Zhan Yarong, Gai Mei. Study on measurement and coordinated development of socio-ecological system resilience in coastal tourism destination[J]. Areal Research and Development, 2018, 37(5): 158-164. ]
[8]	唐波, 肖欣. 粤北山区社会-生态-经济系统恢复力及其协调度[J]. 水土保持通报, 2020, 40(5): 218-226, 241.
	[ Tang Bo, Xiao Xin. Resilience and coordination degree of socio-ecological-economic system in mountainous areas of northern Guangdong Province[J]. Bulletin of Soil and Water Conservation, 2020, 40(5): 218-226, 241. ]
[9]	Kates R W, Clark W C, Corell R, et al. Environment and development-sustainability science[J]. Science, 2001, 292(5517): 641-642. pmid: 11330321
[10]	Hu M M, Zhang J M, Huang J L. Assessing social-ecological system resilience in mainland China[J]. Polish Journal of Environmental Studies, 2018, 27(3): 1085-1096. doi: 10.15244/pjoes/76242
[11]	陈娅玲, 杨新军. 西藏旅游社会-生态系统恢复力研究[J]. 西北大学学报(自然科学版), 2012, 42(5): 827-832.
	[ Chen Yaling, Yang Xinjun. The resilience of Tibet tourism social-ecological systems[J]. Journal of Northwest University (Natural Science Edition), 2012, 42(5): 827-832. ]
[12]	胡蒙蒙, 张军民, 黄锦楼, 等. 鄂尔多斯社会-生态系统恢复力评价及驱动机制研究[J]. 水土保持研究, 2017, 24(4): 191-197, 203.
	[ Hu Mengmeng, Zhang Junmin, Huang Jinlou, et al. Study on evaluation and driver of socio-ecological system resilience in Ordos[J]. Research of Soil and Water Conservation, 2017, 24(4): 191-197, 203. ]
[13]	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
[14]	李瑞, 邰玉兰, 王晨, 等. 旅游地社会-生态系统恢复力测度及优化对策——以贵阳市花溪区为例[J]. 贵州师范大学学报(自然科学版), 2018, 36(5): 103-108.
	[ Li Rui, Tai Yulan, Wang Chen, et al. Measurement of resilience of social-ecological system on tourist destination and its optimizing strategies: A case study of Guiyang[J]. Journal of Guizhou Normal University (Natural Sciences Edition), 2018, 36(5): 103-108. ]
[15]	Yang Y J, Li Y, Chen F, et al. Regime shift and redevelopment of a mining area’s socio-ecological system under resilience thinking: A case study in Shanxi Province, China[J]. Environment Development & Sustainability, 2019, 21(5): 2577-2598.
[16]	Enfors E I, Gordon L J. Analysing resilience in dryland agro-ecosystems: A case study of the Makanya catchment in Tanzania over the past 50 years[J]. Land Degradation and Development, 2007, 18: 680-696. doi: 10.1002/ldr.v18:6
[17]	Sajjad M, Li Y, Li Y F, et al. Integrating typhoon destructive potential and social-ecological systems towards resilient coastal communities[J]. Earth’s Future, 2019, 7(7): 805-818. doi: 10.1029/2019EF001226
[18]	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: A case study in Yanchi, Ningxia, China[J]. China Population, Resources and Environment, 2018, 28(8): 117-126. ]
[19]	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]. Journal of Ecology, 2017, 37(12): 4278-4288. ]
[20]	Folke C, Carpenter S, Elmqvist T, et al. Resilience and sustainable development: Building adaptive capacity in a world of transformations[J]. Ambio, 2002, 31(5): 437-440. doi: 10.1579/0044-7447-31.5.437 pmid: 12374053
[21]	Zurlini G, Amadio V, Rossi O. A landscape approach to biodiversity and biological health planning: The map of Italian nature[J]. Ecosyst Health, 1999, 5(4): 296-311.
[22]	Carpenter S R, Walker B, Anderies J M, et al. From metaphor to measurement: Resilience of what to what?[J]. Ecosystems, 2001, 4(8): 765-781. doi: 10.1007/s10021-001-0045-9
[23]	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, 2000: 8-21.
	[ Zhao Keqin. Set pair analysis and its prelimiary application[M]. Hangzhou: Zhejiang Science and Technology Press, 2000: 8-21. ]
[24]	苏飞, 陈媛, 张平宇. 基于集对分析的旅游城市经济系统脆弱性评价——以舟山市为例[J]. 地理科学, 2013, 33(5): 538-544. doi: 10.13249/j.cnki.sgs.2013.05.538
	[ Su Fei, Chen Yuan, Zhang Pingyu. Vulnerability assessment of tourism city’s economic system based on the set pair analysis: A case study of Zhoushan City[J]. Scientia Geographica Sinica, 2013, 33(5): 538-544. ] doi: 10.13249/j.cnki.sgs.2013.05.538
[25]	郑华伟, 张锐, 孟展, 等. 基于PSR模型与集对分析的耕地生态安全诊断[J]. 中国土地科学, 2015, 29(12): 42-50.
	[ Zheng Huawei, Zhang Rui, Meng Zhan, et al. Diagnosis on cultivated land ecological security based on the PSR model and set pair analysis[J]. China Land Science, 2015, 29(12): 42-50. ]
[26]	何美丽, 刘浪, 王宏伟, 等. 基于集对分析的工程评标未知权重多属性决策[J]. 中南大学学报(自然科学版), 2012, 43(10): 4057-4062.
	[ He Meili, Liu Lang, Wang Hongwei, et al. Unknown weight multiple attribute decision for engineering appraisal bidding based on set pair analysis[J]. Journal of Central South University: Science and Technology, 2012, 43(10): 4057-4062. ]
[27]	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
[28]	李观凤, 焦华富, 王群. 干旱区文化旅游地社会-生态系统恢复力年际变化及影响因素——以甘肃省敦煌市为例[J]. 干旱区地理, 2022, 45(3): 935-945.
	[ 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. ]
[29]	叶文丽, 杨新军, 吴孔森, 等. 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[J]. 干旱区地理, 2022, 45(3): 912-924.
	[ Ye Wenli, Yang Xinjun, Wu Kongsen, et al. Spatio-temporal characteristics and influencing factors of social-ecological system resilience in the Loess Plateau[J]. Arid Land Geography, 2022, 45(3): 912-924. ]
[30]	陈明星, 陆大道, 张华. 中国城市化水平的综合测度及其动力因子分析[J]. 地理学报, 2009, 64(4): 387-398.
	[ Chen Mingxing, Lu Dadao, Zhang Hua. Comprehensive evaluation and the driving factors of China’s urbanization[J]. Acta Geographica Sinica, 2009, 64(4): 387-398. ]
[31]	余中元, 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 Zhongyuan, Li Bo, Zhang Xinshi. Social ecological system and vulnerability driving mechanism analysis[J]. Acta Ecologica Sinica, 2014, 34(7): 1870-1879. ]
[32]	王群, 杨万明, 朱跃, 等. 贫困区旅游地社会-生态系统恢复力时空分异研究——以安徽境内大别山区12个贫困县(市)为例[J]. 地理科学, 2021, 41(6): 1030-1038. doi: 10.13249/j.cnki.sgs.2021.06.012
	[ Wang Qun, Yang Wanming, Zhu Yue, et al. Spatio-temporal differentiation of tourism socio-ecological system resilience in poor area: A case study of 12 poverty-stricken counties in the Dabie Mountain of Anhui Province[J]. Scientia Geographica Sinica, 2021, 41(6): 1030-1038. ] doi: 10.13249/j.cnki.sgs.2021.06.012
[33]	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, et al. Comparative study on the industrial structure of Jiangsu Province and Shandong Province[J]. Economic Geography, 2010, 30(11): 1847-1853. ]
[34]	耿艺伟, 陈伟强, 张金鑫, 等. 河南省沿黄干流地区社会-生态-生产景观恢复力演化特征及情景模拟[J]. 水土保持通报, 2021, 41(5): 181-190.
	[ Geng Yiwei, Chen Weiqiang, Zhang Jinxin, et al. Evolution characteristics and scenario simulation of social-ecological production landscape resilience in areas along mainstream of Yellow River in Henan Province[J]. Bulletin of Soil and Water Conservation, 2021, 41(5): 181-190. ]
[35]	乌宁巴特, 刘新平, 马相平. 叶尔羌河流域土地生态脆弱性差异评价[J]. 干旱区地理, 2020, 43(3): 849-858.
	[ Wu Ningbart, Liu Xinping, Ma Xiangping. Evaluation on the difference of land ecological vulnerability in the Yarkant River Basin[J]. Arid Land Geography, 2020, 43(3): 849-858. ]
[36]	庄大方, 刘纪远. 中国土地利用程度的区域分异模型研究[J]. 自然资源学报, 1997, 12(2): 10-16.
	[ Zhuang Dafang, Liu Jiyuan. Study on the model of regional differentiation of land use degree in China[J]. Journal of Natural Resources, 1997, 12(2): 10-16. ]
[37]	钞锦龙, 李乐乐, 杨朔, 等. 汾河流域城市化与水资源耦合协调关系研究[J]. 地理科学, 2022, 42(3): 487-496. doi: 10.13249/j.cnki.sgs.2022.03.013
	[ Chao Jinlong, Li Lele, Yang Shuo, et al. Coupling and coordination relation between urbanization and water resources in the Fenhe River Basin[J]. Scientia Geographica Sinica, 2022, 42(3): 487-496. ] doi: 10.13249/j.cnki.sgs.2022.03.013
[38]	付晶莹, 郜强, 江东, 等. 黑土保护与粮食安全背景下齐齐哈尔市国土空间优化调控路径[J]. 地理学报, 2022, 77(7): 1662-1680. doi: 10.11821/dlxb202207007
	[ Fu Jingying, Gao Qiang, Jiang Dong, et al. Optimal regulation of spatial planning in the context of black soil preservation and food security in Qiqihar[J]. Acta Geographica Sinica, 2022, 77(7): 1662-1680. ] doi: 10.11821/dlxb202207007
[39]	方遥, 徐帆, 秦萧, 等. 省际毗邻区协同发展分析与规划应对——以宁滁毗邻核心区为例[J]. 自然资源学报, 2022, 37(6): 1609-1625. doi: 10.31497/zrzyxb.20220617
	[ Fang Yao, Xu Fan, Qin Xiao, et al. Response of coordinated development analysis and planning to inter-provincial adjacent areas: Taking Nanjing-Chuzhou core area as an example[J]. Journal of Natural Resources, 2022, 37(6): 1609-1625. ] doi: 10.31497/zrzyxb.20220617
[40]	王淑佳, 孔伟, 任亮, 等. 国内耦合协调度模型的误区及修正[J]. 自然资源学报, 2021, 36(3): 793-810. doi: 10.31497/zrzyxb.20210319
	[ Wang Shujia, Kong Wei, Ren Liang, et al. Research on misuses and modification of coupling coordination degree model in China[J]. Journal of Natural Resources, 2021, 36(3): 793-810. ] doi: 10.31497/zrzyxb.20210319
[41]	沈中健, 曾坚, 梁晨. 闽南三市绿地景观格局与地表温度的空间关系[J]. 生态学杂志, 2020, 39(4): 1309-1317.
	[ Shen Zhongjian, Zeng Jian, Liang Chen. Spatial relationship of greenspace landscape pattern with land surface temperature in three cities of southern Fujian[J]. Chinese Journal of Ecology, 2020, 39(4): 1309-1317. ]
[42]	李俊翰, 高明秀. 滨州市生态系统服务价值与生态风险时空演变及其关联性[J]. 生态学报, 2019, 39(21): 7815-7828.
	[ Li Junhan, Gao Mingxiu. Spatiotemporal evolution and correlation analysis of ecosystem service values and ecological risk in Binzhou[J]. Acta Ecologica Sinica, 2019, 39(21): 7815-7828. ]
[43]	雷金睿, 陈宗铸, 吴庭天, 等. 海南岛东北部土地利用与生态系统服务价值空间自相关格局分析[J]. 生态学报, 2019, 39(7): 2366-2377.
	[ Lei Jinrui, Chen Zongzhu, Wu Tingtian, et al. Spatial autocorrelation pattern analysis of land use and the value of ecosystem services in northeast Hainan island[J]. Acta Ecologica Sinica, 2019, 39(7): 2366-2377. ]
[44]	丁振民, 姚顺波. 陕西省耕地转移对生态系统服务价值的影响[J]. 资源科学, 2019, 41(6): 1070-1081. doi: 10.18402/resci.2019.06.06
	[ Ding Zhenmin, Yao Shunbo. Effects of cultivated land transition on ecosystem service value in Shaanxi Province of China[J]. Resources Science, 2019, 41(6): 1070-1081. ] doi: 10.18402/resci.2019.06.06
[45]	唐晓灵, 杜莉. 基于引力模型的区域经济发展与生态环境耦合协调研究——以陕西省为例[J]. 生态经济, 2020, 36(7): 164-169.
	[ Tang Xiaoling, Du Li. Research on coupling coordination between regional economic development and ecological environment based on gravity model: Taking Shaanxi Province as an example[J]. Ecological Economy, 2020, 36(7): 164-169. ]

子系统层	准则层	指标层	指标含义及性质	权重
社会子系统	脆弱性	人口密度/人·km^-2	衡量系统压力（-）	0.0023
		粮食产量/t	衡量粮食供应能力（+）	0.0486
		社会消费品零售总额/10⁴元	衡量系统消费水平（+）	0.1433
	应对能力	地方财政支出/10⁴元	衡量社会财政支持力度（+）	0.0284
		万人拥有医疗卫生机构床位数/张	衡量医疗卫生服务能力（+）	0.0581
		中小学在校生人数/人	衡量系统学习能力（+）	0.0416
经济子系统	脆弱性	农林牧渔业总产值/10⁴元	衡量系统生产能力（+）	0.0359
		规模以上工业总产值/10⁴元	衡量工业发展水平与规模（+）	0.1216
		金融机构贷款余额/10⁴元	衡量系统发展的资金需求（-）	0.0042
		产业结构多样化指数	衡量产业发展的平衡程度（+）	0.0110
	应对能力	地方财政收入/10⁴元	衡量地方政府财力（+）	0.0900
		GDP/10⁸元	衡量系统经济总量（+）	0.0878
		人均可支配收入/元	衡量居民收入水平（+）	0.0372
		全社会固定资产投资额/10⁴元	衡量资本投资额度（+）	0.0750
生态子系统	脆弱性	土地利用程度	衡量土地开发利用程度（-）	0.0076
		化肥施用强度/t·hm^-2	衡量系统生态威胁（-）	0.0050
		农用塑料薄膜使用强度/kg·hm^-2	衡量系统环境压力（-）	0.0038
	应对能力	造林面积比例/%	衡量地区生态建设水平（+）	0.0746
		生物丰度	衡量系统生物丰贫程度（+）	0.0123
		人均林草地面积/hm²	衡量系统自然条件（+）	0.1118

协调发展度区间	协调阶段	协调发展程度
0.0~0.1	D1：失调衰退阶段（0.0~0.4）	极度失调（D11）
0.1~0.2		严重失调（D12）
0.2~0.3		中度失调（D13）
0.3~0.4		轻度失调（D14）
0.4~0.5	D2：过渡调和阶段（0.4~0.6）	濒临失调（D21）
0.5~0.6	D2：过渡调和阶段（0.4~0.6）	勉强协调（D22）
0.6~0.7	D3：协调发展阶段（0.6~1.0）	初级协调（D31）
0.7~0.8		中级协调（D32）
0.8~0.9		良好协调（D33）
0.9~1.0		优质协调（D34）

耦合子系统		2000年				2020年
耦合子系统		陕西省	陕南	关中	陕北	陕西省	陕南	关中	陕北
社会-经济	D1	45.79	50.00	25.93	84.00	-	-	-	-
	D2	43.93	46.43	55.56	16.00	4.67	7.14	3.70	4.00
	D3	10.28	3.57	18.52	-	95.33	92.86	96.30	96.00
社会-生态	D1	41.12	28.57	35.19	68.00	5.61	-	11.11	-
	D2	31.78	46.43	25.93	28.00	9.35	14.29	9.26	4.00
	D3	27.10	25.00	38.89	4.00	85.05	85.71	79.63	96.00
经济-生态	D1	56.07	53.57	50.00	72.00	4.67	-	9.26	-
	D2	39.25	42.86	42.59	28.00	4.67	-	9.26	-
	D3	4.67	3.57	7.41	-	90.65	100.00	81.48	100.00
社会-经济-生态	D1	48.60	50.00	33.33	80.00	-	-	-	-
	D2	36.45	39.29	44.44	16.00	7.48	7.14	11.11	-
	D3	14.95	10.71	22.22	4.00	92.52	92.86	88.89	100.00

二元耦合子系统	社会-经济-生态
二元耦合子系统	Moran’s I	P	Z
社会-经济	0.459	0.001	8.1835
社会-生态	0.442	0.001	7.6834
经济-生态	0.478	0.001	8.2677

Spatiotemporal evolution of the coordinated development of regional social-ecological system resilience: A case study of Shaanxi Province

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