干旱区研究

Arid Zone Research >

2022 , Vol. 39 >Issue 4: 1234 - 1245

DOI: https://doi.org/10.13866/j.azr.2022.04.24

Ecology and Environment

Temporal and spatial evolution characteristics of the coupling between county high-quality development and ecosystem services in Shanxi Province

Expand
  • 1. School of Geographical Sciences, Shanxi Normal University, Taiyuan 030000, Shanxi, China
    2. Institute of Human Geography, Shanxi Normal University, Taiyuan 030000, Shanxi, China
    3. School of Mechanics and Civil Architecture, Northwest University of Technology, Xi’an 710129, Shaanxi, China

Received date: 2022-01-12

  Revised date: 2022-02-11

  Online published: 2022-09-26

Fold

Abstract

Based on the data of 107 counties and regions in Shanxi Province in 2000, 2005, 2010, and 2018, this paper constructs the evaluation index system of high-quality development in Shanxi Province, uses the InVEST model to calculate the ecosystem services of counties and regions in Shanxi Province, and analyzes the spatiotemporal coupling characteristics of the high-quality development system and ecosystem services of counties in Shanxi Province by using the coupling coordination model and elasticity coefficient method. The following results are presented. (1) The grade effect of cities has a significant impact on the level of high-quality development. The spatial differentiation law of high-quality development is strong, which roughly forms the north-south-middle three-level cores, and the polarization effect in the central region is prominent. (2) Ecosystem services in the study area have locking effects in time scale and spatial pattern. The temporal and spatial evolution characteristics are consistent with the topographic distribution of the study area, showing a stable “mirror L-shaped” spatial distribution pattern. (3) Ecosystem services in the study area generally lag behind high-quality development. From the perspective of the time change, the coupling level shows an upward trend. From the perspective of spatial pattern characteristics, ecosystem services and the high-quality development show the coordination main axis of “northeast-southwest.” (4) The coupling type of high-quality development and ecosystem services in the study area mainly changes in different directions, generally showing a retrogressive development trend. A “polarization” pattern, in which recession and lag types compete, is also observed, forming a convergent “S” type attenuation area. As an ideal model of coupling type, growth type is remarkably few in the study area.

Key words： high quality development; ecosystem services; coupling coordination degree model; counties in Shanxi Province

Cite this article

LIU Hailong,TANG Fei,DING Ya’nan,ZHANG Yu,GUO Xiaojia,TAN Jingbai,CHENG Yue . Temporal and spatial evolution characteristics of the coupling between county high-quality development and ecosystem services in Shanxi Province[J]. Arid Zone Research, 2022 , 39(4) : 1234 -1245 . DOI: 10.13866/j.azr.2022.04.24

References

[1] 任保平, 李禹墨. 新时代我国高质量发展评判体系的构建及其转型路径[J]. 陕西师范大学学报(哲学社会科学版), 2018, 47(3): 105-113.
[1] [Ren Baoping, Li Yumo. On the construction of Chinese high-quality development evaluation system and the path of its transformation in the new era[J]. Journal of Shaanxi Normal University(Philosophy and Social Sciences Edition), 2018, 47(3): 105-113.]
[2] 欧进锋, 许抄军, 刘雨骐. 基于“五大发展理念”的经济高质量发展水平测度——广东省21个地级市的实证分析[J]. 经济地理, 2020, 40(6): 77-86.
[2] [Ou Jinfeng, Xu Jianjun, Liu Yuqi. The measurement of high-quality development level from five development concepts: Empirical analysis of 21 prefecture-level cities in Guangdong Province[J]. Economic Geography, 2020, 40(6): 77-86.]
[3] 王蔷, 丁延武, 郭晓鸣. 我国县域经济高质量发展的指标体系构建[J]. 软科学, 2021, 35(1): 115-119, 133.
[3] [Wang Qiang, Ding Yanwu, Guo Xiaoming. Construction of the indicator system of economic high-quality development of counties in China[J]. Soft Science, 2021, 35(1): 115-119, 133.]
[4] 徐辉, 师诺, 武玲玲, 等. 黄河流域高质量发展水平测度及其时空演变[J]. 资源科学, 2020, 42(1): 115-126.
[4] [Xu Hui, Shi Nuo, Wu Lingling, et al. High-quality development level and its spatio-temporal changes in the Yellow River Basin[J]. Resources Science, 2020, 42(1): 115-126.]
[5] 王伟, 王成金. 东北地区高质量发展评价及其空间特征[J]. 地理科学, 2020, 40(11): 1795-1802.
[5] [Wang Wei, Wang Chengjin. Evaluation and spatial characteristics of high-quality development in Northeast China[J]. Scientia Geographica Sinica, 2020, 40(11): 1795-1802.]
[6] 化祥雨, 金祥荣, 吕海萍, 等. 高质量发展耦合协调时空格局演化及影响因素——以浙江省县域为例[J]. 地理科学, 2021, 41(2): 223-231.
[6] [Hua Xiangyu, Jin Xiangrong, Lyu Haiping, et al. Spatial-temporal pattern evolution and influencing factors of high-quality development coupling coordination: Case on counties of Zhejiang Province[J]. Scientia Geographica Sinica, 2021, 41(2): 223-231.]
[7] Gene M G, Alan B K. Environmental impacts of a North American free trade agreement[J]. CEPR Discussion Papers, 1992, 8(2): 223-250.
[8] William A B. Chapter 28 economic growth and the environment: A review of theory and empirics[J]. Handbook of Economic Growth, 2005, 1: 1749-1821.
[9] Eyup D, Roula I L. The impact of economic structure to the Environmental Kuznets Curve (EKC) hypothesis: Evidence from European countries[J]. Environmental Science and Pollution Research, 2020, 27(11): 12717-12724.
[10] Rahman S, Chen S, Saleem N, et al. Financial development and its moderating role in Environment Kuznets Curve: Evidence from Pakistan[J]. Environment Science and Pollution Research, 2019, 26(19): 19305-19319.
[11] Booth H. The Environmental Kuznets Curve[J]. World Economics, 2017, 18(1): 145-152.
[12] Levrel H, Kerbiriou C, Couvet D, et al. OECD pressure-state-response indicators for managing biodiversity: A realistic perspective for a French biosphere reserve[J]. Biodiversity and Conservation, 2009, 18(7): 1719-1732.
[13] Jill L, Caviglia H, Dustin C, et al. Taking The “u” out of Kuznets: A comprehensive analysis of the EKC and environmental degradation[J]. Ecological Economics, 2009, 68(4): 1149-1159.
[14] 崔盼盼, 赵媛, 夏四友, 等. 黄河流域生态环境与高质量发展测度及时空耦合特征[J]. 经济地理, 2020, 40(5): 49-57, 80.
[14] [Cui Panpan, Zhao Yuan, Xia Siyou, et al. Level measures and temporal and spatial coupling analysis of ecological environment and high-quality development in the Yellow River Basin[J]. Economic Geography, 2020, 40(5): 49-57, 80.]
[15] 马丽, 金凤君, 刘毅. 中国经济与环境污染耦合度格局及工业结构解析[J]. 地理学报, 2012, 67(10): 1299-1307.
[15] [Ma Li, Jin Fengjun, Liu Yi. Spatial pattern and industrial sector structure analysis on the coupling and coordinating degree of regional economic development and environmental pollution in China[J]. Acta Geographica Sinica, 2012, 67(10): 1299-1307.]
[16] 刘海猛, 方创琳, 李咏红. 城镇化与生态环境“耦合魔方”的基本概念及框架[J]. 地理学报, 2019, 74(8): 1489-1507.
[16] [Liu Haimeng, Fang Chuanglin, Li Yonghong. The coupled human and natural cube: A conceptual framework for analyzing urbanization and eco-environment interactions[J]. Acta Geographica Sinica, 2019, 74(8): 1489-1507.]
[17] 欧阳晓, 李勇辉, 徐帆, 等. 城市用地扩张与生态环境保护的交互作用研究——以长株潭城市群为例[J]. 经济地理, 2021, 41(7): 193-201.
[17] [Ouyang Xiao, Li Yonghui, Xu Fan, et al. Interaction between urban land expansion and ecological environment protection: Case study of Changsha-Zhuzhou-Xiangtan urban agglomeration[J]. Economic Geography, 2021, 41(7): 193-201.]
[18] 刘琳轲, 梁流涛, 高攀, 等. 黄河流域生态保护与高质量发展的耦合关系及交互响应[J]. 自然资源学报, 2021, 36(1): 176-195.
[18] [Liu Linke, Liang Liutao, Gao Pan, et al. Coupling relationship and interactive response between ecological protection and high-quality development in the Yellow River Basin[J]. Journal of Natural Resources, 2021, 36(1): 176-195.]
[19] 邵鹏, 王齐, 单英骥. 基于文本分析的黄河流域生态保护与高质量发展研究[J]. 干旱区资源与环境, 2020, 34(11): 78-83.
[19] [Shao Peng, Wang Qi, Shan Yingji. Research on ecological protection and high-quality development of the Yellow River Basin Based on text analysis[J]. Journal of Arid Land Resources and Environment, 2020, 34(11): 78-83.]
[20] 李双成, 谢爱丽, 吕春艳, 等. 土地生态系统服务研究进展及趋势展望[J]. 中国土地科学, 2018, 32(12): 82-89.
[20] [Li Shuangcheng, Xie Aili, Lyu Chunyan, et al. Research progress and prospect for land ecosystem services[J]. China Land Science, 2018, 32(12): 82-89.]
[21] Costanza R, d’Arge R, et al. The value of the world’s ecosystem services and natural capital[J]. Nature, 1997, 387: 253-260.
[22] 王蓓, 赵军, 仲俊涛. 2005—2015年石羊河流域生态系统服务时空分异[J]. 干旱区研究, 2019, 36(2): 474-485.
[22] [Wang Bei, Zhao Jun, Zhong Juntao. Spatiotemporal differentiation of ecosystem services in the Shiyang River basin from 2005 to 2015[J]. Arid Zone Research, 2019, 36(2): 474-485.]
[23] 赵雪雁, 杜昱璇, 李花, 等. 黄河中游城镇化与生态系统服务耦合关系的时空变化[J]. 自然资源学报, 2021, 36(1): 131-147.
[23] [Zhao Xueyan, Du Yuxuan, Li Hua, et al. Spatio-temporal changes of the coupling relationship between urbanization and ecosystem services in the Middle Yellow River[J]. Journal of Natural Resources, 2021, 36(1): 131-147.]
[24] 申嘉澍, 李双成, 梁泽, 等. 生态系统服务供需关系研究进展与趋势展望[J]. 自然资源学报, 2021, 36(8): 1909-1922.
[24] [Shen Jiashu, Li Shuangcheng, Liang Ze, et al. Research progress and prospect for the relationships between ecosystem services supplies and demands[J]. Journal of Natural Resources, 2021, 36(8): 1909-1922.]
[25] 蓝以信, 张庆, 李婵. 多维发展导向视角下江苏省县域生态效率差异化评价[J]. 生态学报, 2021, 41(23): 9216-9227.
[25] [Lan Yixin, Zhang Qing, Li Chan. Differential evaluation of county eco-efficiency in Jiangsu Province from the perspective of multi-dimensional development orientation[J]. Acta Ecologica Sinica, 2021, 41(23): 9216-9227.]
[26] 刘海龙, 谢亚林, 贾文毓, 等. 山西省生态安全综合评价及时空演化[J]. 经济地理, 2018, 38(5): 161-169.
[26] [Liu Hailong, Xie Yalin, Jia Wenyu, et al. Ecological security assessment and spatial-temporal evolution of Shanxi Province[J]. Economic Geography, 2018, 38(5): 161-169.]
[27] 包玉斌. 基于InVEST模型的陕北黄土高原生态服务功能时空变化研究[D]. 西安: 西北大学, 2015: 17-34.
[27] [Bao Yubin. Temporal and Spatial Change of Ecological Services on Loess Plateau of Shaanxi by InVEST Model[D]. Xi’an: Northwestern University, 2015: 17-34.]
[28] 冯雨雪, 李广东. 青藏高原城镇化与生态环境交互影响关系分析[J]. 地理学报, 2020, 75(7): 1386-1405.
[28] [Feng Yuxue, Li Guangdong. Interaction between urbanization and eco-environment in Tibetan Plateau[J]. Acta Geographica Sinica, 2020, 75(7): 1386-1405.]
[29] 连旭. 县域农业经济发展评价及空间分异研究——基于新疆83个县面板数据的实证[J]. 干旱区资源与环境, 2016, 30(12): 73-81.
[29] [Lian Xu. Evaluation and spatial differentiation of county-level agricultural economy development in Xinjiang[J]. Journal of Arid Land Resources and Environment, 2016, 30(12): 73-81.]
[30] 徐昔保, 杨桂山, 江波. 湖泊湿地生态系统服务研究进展[J]. 生态学报, 2018, 38(20): 7149-7158.
[30] [Xu Xibao, Yang Guishan, Jiang Bo. Progress in lake-wetland ecosystem services[J]. Acta Ecologica Sinica, 2018, 38(20): 7149-7158.]
[31] 李孝永, 匡文慧. 北京城市土地利用/覆盖变化及其对雨洪调节服务的影响[J]. 生态学报, 2020, 40(16): 5525-5533.
[31] [Li Xiaoyong, Kuang Wenhui. Urban land use/cover change and its impact on urban flood regulation ecosystem service in Beijing[J]. Acta Ecologica Sinica, 2020, 40(16): 5525-5533.]
[32] 刘宥延, 刘兴元, 张博, 等. 基于InVEST模型的黄土高原丘陵区水源涵养功能空间特征分析[J]. 生态学报, 2020, 40(17): 6161-6170.
[32] [Liu Yuyan, Liu Xingyuan, Zhang Bo, et al. Spatial features analysis of water conservation function in the hilly areas of the Loess Plateau based on InVEST model[J]. Acta Ecologica Sinica, 2020, 40(17): 6161-6170.]
[33] 陈昳, 邵卓, 桂峰, 等. 基于InVEST模型的舟山群岛生态系统服务评估研究[J]. 国土与自然资源研究, 2020, 42(4): 47-50.
[33] [Chen Yi, Shao Zhuo, Gui Feng, et al. Ecosystem services assessment of Zhoushan islands based on InVEST model[J]. Territory & Natural Resources Study, 2020, 42(4): 47-50.]
[34] 仲俊涛, 王蓓, 米文宝, 等. 基于InVEST模型的宁夏盐池县禁牧草地生态补偿标准空间识别[J]. 地理科学, 2020, 40(6): 1019-1028.
[34] [Zhong Juntao, Wang Bei, Mi Wenbao, et al. Spatial recognition of ecological compensation standard for grazing grassland in Yanchi County based on InVEST model[J]. Scientia Geographica Sinica, 2020, 40(6): 1019-1028.]
[35] 赵文亮, 贺振, 贺俊平, 等. 基于MODIS-NDVI的河南省冬小麦产量遥感估测[J]. 地理研究, 2012, 31(12): 2310-2320.
[35] [Zhao Wenliang, He Zhen, He Junping, et al. Remote sensing estimation of winter wheat yield in Henan Province based on MODIS-NDVI data[J]. Geographical Research, 2012, 31(12): 2310-2320.]
[36] 孙彦旭, 周自翔, 米朝娟. 基于土地利用覆被变化(LUCC)的人类活动与流域生物多样性灰色关联分析[J]. 干旱区研究, 2021, 38(6): 1782-1792.
[36] [Sun Yanxu, Zhou Zixiang, Mi Chaojuan. Grey correlation analysis of human activities and watershed biodiversity based on land use and cover change[J]. Arid Zone Research, 2021, 38(6): 1782-1792.]
[37] 邓宗兵, 宗树伟, 苏聪文, 等. 长江经济带生态文明建设与新型城镇化耦合协调发展及动力因素研究[J]. 经济地理, 2019, 39(10): 78-86.
[37] [Deng Zongbing, Zong Shuwei, Su Congwen, et al. Research on coupling coordination development between ecological civilization construction and new urbanization and its driving forces in the Yangtze River Economic Zone[J]. Economic Geography, 2019, 39(10): 78-86.]
[38] 乔栋, 赵杰, 谢亚龙, 等. 山西省智能机器人应用现状及潜力研究[J]. 电子技术与软件工程, 2021, 10(2): 120-123.
[38] [Qiao Dong, Zhao Jie, Xie Yalong, et al. Research on application status and potential of intelligent robot in Shanxi Province[J]. Electronic Technology & Software Engineering, 2021, 10(2): 120-123.]
[39] 谢泽阳. 赣南地区生态系统生产总值时空演变及驱动力研究[D]. 南昌: 南昌大学, 2021: 44-45.
[39] [Xie Zeyang. Spatio-temporal Evolution and Driving Forces of Gross Ecosystem Product in Southern Jiangxi Province[D]. Nanchang: Nanchang University, 2021: 44-45.]
Options
Outlines

/

〈 〉