January 2017 Update APPENDIX
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Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau. -
Study on Land Use/Cover Change and Ecosystem Services in Harbin, China
sustainability Article Study on Land Use/Cover Change and Ecosystem Services in Harbin, China Dao Riao 1,2,3, Xiaomeng Zhu 1,4, Zhijun Tong 1,2,3,*, Jiquan Zhang 1,2,3,* and Aoyang Wang 1,2,3 1 School of Environment, Northeast Normal University, Changchun 130024, China; [email protected] (D.R.); [email protected] (X.Z.); [email protected] (A.W.) 2 State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China 3 Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China 4 Shanghai an Shan Experimental Junior High School, Shanghai 200433, China * Correspondence: [email protected] (Z.T.); [email protected] (J.Z.); Tel.: +86-1350-470-6797 (Z.T.); +86-135-9608-6467 (J.Z.) Received: 18 June 2020; Accepted: 25 July 2020; Published: 28 July 2020 Abstract: Land use/cover change (LUCC) and ecosystem service functions are current hot topics in global research on environmental change. A comprehensive analysis and understanding of the land use changes and ecosystem services, and the equilibrium state of the interaction between the natural environment and the social economy is crucial for the sustainable utilization of land resources. We used remote sensing image to research the LUCC, ecosystem service value (ESV), and ecological economic harmony (EEH) in eight main urban areas of Harbin in China from 1990 to 2015. The results show that, in the past 25 years, arable land—which is a part of ecological land—is the main source of construction land for urbanization, whereas the other ecological land is the main source of conversion to arable land. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -