青藏高原城镇化与生态环境交互影响关系分析

doi:10.11821/dlxb202007005

Abstract

Abstract:

Scientifically assessing the interaction between urbanization and eco-environment in the Tibetan Plateau is critical for optimization of urbanization speed and quality, and for the restoration and improvement of the eco-environment. Based on previous studies about the interaction between urbanization and eco-environment in the Tibetan Plateau, we established complete analysis models to examine the overall process, including comprehensive evaluation index analysis, coupling coordination degree measurement, coupling type identification, decoupling path exploration, and future trend prediction. We used a multi-scale comparison analysis method to clarify the differences between scales (across the Tibetan Plateau and its provinces and prefecture-level cities), identify the problem regions, and propose customized improvement measures. Here we show that the comprehensive evaluation index of urbanization has experienced a staged upward trend in different scales, and the overall urbanization index of Qinghai is higher than that of Tibet. However, the changing trends of the eco-environment index are different. The changes in eco-environment index of Qinghai show a decreasing trend, whereas Tibet's changes tend to be stable. The eco-environment index of prefecture-level cities is stratified. We also found that the changing trends of coupling coordination degree of urbanization and eco-environment in different scales were overall rising. The coupling type has changed from imbalanced recession type to nearly imbalanced recession type, and finally to grudgingly coordinated development type. However, most of these types are lagged urbanization types. The alternate change trend between strong decoupling and weak decoupling indicates a negative interaction between urbanization and the eco-environment at different scales. Thus, it can be inferred that the lagged urbanization is a prominent phenomenon. The result of predication shows that in the next 10 years the coupling coordination degree of urbanization and eco-environment will increase steadily in all geographic units, but there will be a gap in the growth rate.

Key words: urbanization, eco-environment, coupling coordinated degree, decoupling, predicting, Tibetan Plateau

FENG Yuxue, LI Guangdong. Interaction between urbanization and eco-environment in Tibetan Plateau[J].Acta Geographica Sinica, 2020, 75(7): 1386-1405.

Figures/Tables 20

Fig. 1

Fig. 2

Tab. 1

Tab. 2

Tab. 3

Tab. 4

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Tab. 5

Fig. 10

Tab. 6

Tab. 7

Fig. 11

Tab. 8

Tab. 9

References 35

[1]	Liu Tongde. Study on sustainable development in Qinghai-Tibet Plateau[D]. Tianjin: Tianjin University, 2009.
	[ 刘同德. 青藏高原区域可持续发展研究[D]. 天津: 天津大学, 2009.]
[2]	Lu Chunxia, Xie Gaodi, Xiao Yu, et al. Ecosystem diversity and economic valuation of Qinghai-Tibet Plateau. Acta Ecologica Sinica, 2004,24(12):2749-2755, 3011.
	[ 鲁春霞, 谢高地, 肖玉, 等. 青藏高原生态系统服务功能的价值评估. 生态学报, 2004,24(12):2749-2755, 3011.]
[3]	Yuan Fengdi, Zhang Xi, Wei Yongqiang. Study on ecological environment vulnerability assessment in the ecological barrier area of Qinghai-Tibet Plateau. Geospatial Information, 2018,16(4):67-69, 10.
	[ 袁烽迪, 张溪, 魏永强. 青藏高原生态屏障区生态环境脆弱性评价研究. 地理空间信息, 2018,16(4):67-69, 10.]
[4]	Zhao Yuelong, Zhang Lingjuan. A study on in dex and method of quantitative assessment of fragile environment. Progress in Geography, 1998,17(1):67-72.
	[ 赵跃龙, 张玲娟. 脆弱生态环境定量评价方法的研究. 地理科学进展, 1998,17(1):67-72.]
[5]	Yao Tandong, Zhu Liping. The response of environmental changes on Tibetan Plateau to global changes and adaptation strategy. Advances in Earth Science, 2006,25(5):459-464.
	[ 姚檀栋, 朱立平. 青藏高原环境变化对全球变化的响应及其适应对策. 地球科学进展, 2006,25(5):459-464.]
[6]	Li S C, Wu J S, Gong J, et al. Human footprint in Tibet: Assessing the spatial layout and effectiveness of nature reserves. Science of the Total Environment, 2018,621:18-29.
[7]	Li S C, Zhang Y L, Wang Z F, et al. Mapping human influence intensity in the Tibetan Plateau for conservation of ecological service functions. Ecosystem Services, 2018,30:276-286.
[8]	Chen H, Zhu Q A, Peng C H, et al. The impacts of climate change and human activities on biogeochemical cycles on the Qinghai-Tibetan Plateau. Global Chang Biology, 2013,19(10):2940-2955.
[9]	Yang K, Wu H, Qin J, et al. Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review. Global and Planetary Change, 2014,112:79-91.
[10]	Lamsal P, Kumar L, Shabani F, et al. The greening of the Himalayas and Tibetan Plateau under climate change. Global and Planetary Change, 2017,159:77-92.
[11]	Cui X F, Graf H, Langmann B, et al. Climate impacts of anthropogenic land use changes on the Tibetan Plateau. Global and Planetary Change, 2006,54(1-2):33-56. doi: 10.1016/j.gloplacha.2005.07.006
[12]	Kang S C, Zhang Q G, Qian Y, et al. Linking atmospheric pollution to cryospheric change in the Third Pole region: Current progress and future prospects. National Science Review, 2019,6(4):796-809.
[13]	Ma Y M, Ma W Q, Zhong L, et al. Monitoring and modeling the Tibetan Plateau's climate system and its impact on East Asia. Scientific Reports, 2017,7:44574. pmid: 28287648
[14]	Ge J, You Q L, Zhang Y Q. Effect of Tibetan Plateau heating on summer extreme precipitation in eastern China. Atmospheric Research, 2019,218:364-371.
[15]	Niu Yafei. The study of environment in the Plateau of Qinghai-Tibet. Progress in Geography, 1999,18(2):69-77.
	[ 牛亚菲. 青藏高原生态环境问题研究. 地理科学进展, 1999,18(2):69-77.]
[16]	Wang X H, Zheng D, Shen Y C. Land use change and its driving forces on the Tibetan Plateau during 1990-2000. Catena, 2008,72(1):56-66. doi: 10.1016/j.catena.2007.04.003
[17]	Cui X F, Graf H. Recent land cover changes on the Tibetan Plateau: A review. Climatic Change, 2009,94(1/2):47-61.
[18]	Liu J, Richard I, Marc W, et al. Protect Third Pole's fragile ecosystem. Science, 2018,362(6421):1368. doi: 10.1126/science.aaw0443 pmid: 30573620
[19]	Fang Chuanglin, Li Guangdong. Particularities, gradual patterns and countermeasures of new-type urbanization in Tibet, China. Bulletin of Chinese Academy of Sciences, 2015,30(3):294-305.
	[ 方创琳, 李广东. 西藏新型城镇化发展的特殊性与渐进模式及对策建议. 中国科学院院刊, 2015,30(3):294-305.]
[20]	Xue Bing, Chen Xingpeng, Wu Junhui, et al. A study on the coupling relation and evolvement of the population-resources-environment in Qinghai Province. Journal of Lanzhou University (Natural Sciences), 2007(1):33-36.
	[ 薛冰, 陈兴鹏, 伍俊辉, 等. 青海人口—资源—环境关系的耦合演变研究. 兰州大学学报(自然科学版), 2007(1):33-36.]
[21]	Yang Haoran. Study on the coupling of eco-economic system in Qinghai Province. Qinghai Social Sciences, 2013(5):59-63, 68.
	[ 杨皓然. 青海省生态经济系统耦合分析. 青海社会科学, 2013(5):59-63, 68.]
[22]	Zhang Mingxia, Wang Dexiang. Measurement of coupling between urbanization and ecological environment in Qinghai Province. Qinghai Social Sciences, 2018(3):59-65.
	[ 张明霞, 王得祥. 青海城市化与生态环境耦合关系测度. 青海社会科学, 2018(3):59-65.]
[23]	Fan Jie, Xu Yong, Wang Chuansheng, et al. The effects of human activities on the ecological environment of Tibet over the past half century. Chinese Science Bulletin, 2015,60(32):3057-3066.
	[ 樊杰, 徐勇, 王传胜, 等. 西藏近半个世纪以来人类活动的生态环境效应. 科学通报, 2015,60(32):3057-3066.]
[24]	Cao Shisong, Wang Yanhui, Duan Fuzhou, et al. Coupling between ecological vulnerability and economic poverty in contiguous destitute areas, China: Emprical analysis of 714 povetry-stricken countries. Chinese Journal of Applied Ecology, 2016,27(8):2614-2622. doi: 10.13287/j.1001-9332.201608.020 pmid: 29733150
	[ 曹诗颂, 王艳慧, 段福洲, 等. 中国贫困地区生态环境脆弱性与经济贫困的耦合关系: 基于连片特困区714个贫困县的实证分析. 应用生态学报, 2016,27(8):2614-2622.] pmid: 29733150
[25]	Wang Zhonghua. Research on the coupling of ecological construction and economic development in the minority areas of our country[D]. Harbin: Northeast Forestry University, 2005.
	[ 汪中华. 我国民族地区生态建设与经济发展的耦合研究[D]. 哈尔滨: 东北林业大学, 2005.]
[26]	The State Council Information Office of the People's Republic of China. Ecological Progress on the Qinghai-Tibet Plateau. 2018.
	[ 中华人民共和国国务院新闻办公室. 青藏高原生态文明建设状况. 2018.]
[27]	Xie Gaodi, Zhang Caixia, Zhang Leiming, et al. Improvement of the evaluation method for ecosystem service value based on per unit area. Journal of Natural Resources, 2015,30(8):1243-1254.
	[ 谢高地, 张彩霞, 张雷明, 等. 基于单位面积价值当量因子的生态系统服务价值化方法改进. 自然资源学报, 2015,30(8):1243-1254.]
[28]	Wang Y, Li G D. Mapping urban CO₂ emissions using DMSP/OLS "city lights" satellite data in China. Environment and Planning A: Economy and Space, 2016,49(2):248-251. doi: 10.1177/0308518X16656374
[29]	Liang Longwu, Wang Zhenbo, Fang Chuanglin, et al. Spatiotemporal differentiation and coordinated development pattern of urbanization and the ecological environment of the Beijing-Tianjin-Hebei urban agglomeration. Acta Ecologica Sinica, 2019,39(4):1212-1225.
	[ 梁龙武, 王振波, 方创琳, 等. 京津冀城市群城市化与生态环境时空分异及协同发展格局. 生态学报, 2019,39(4):1212-1225.]
[30]	Tang Ling, Li Jianping, Yu Lean, et al. Quantitative evaluation methodology for system coordination development based on distance coordnation degree model. Systems Engineering-Theory & Practice, 2010,30(4):594-602.
	[ 汤铃, 李建平, 余乐安, 等. 基于距离协调度模型的系统协调发展定量评价方法. 系统工程理论与实践, 2010,30(4):594-602.]
[31]	Liao Zhongbin. Quantitaitve judgement and classification system for coordinated development of environment amd economy: A case study of the city group in the Pearl River Delta. Tropical Geography, 1999,19(2):76-82.
	[ 廖重斌. 环境与经济协调发展的定量评判及其分类体系: 以珠江三角洲城市群为例. 热带地理, 1999,19(2):76-82.]
[32]	Guo Shasha, Chen Mingxing, Liu Hui. Coupling procedure and decoupling analysis of urbanization and resource environment: The study of Beijing. Geographical Research, 2018,37(8):1599-1608.
	[ 郭莎莎, 陈明星, 刘慧. 城镇化与资源环境的耦合过程与解耦分析: 以北京为例. 地理研究, 2018,37(8):1599-1608.]
[33]	Tapio P. Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 2005,12(2):137-151. doi: 10.1016/j.tranpol.2005.01.001
[34]	Li Tan, Wang Jing, Zhang Qingguo, et al. Spatiotemporal characteristics of an ecological footprint, decoupling effect tendency, and grey prediction in Hefei city. Acta Ecologica Sinica, 2019,39(5):1735-1747.
	[ 李坦, 王静, 张庆国, 等. 合肥市生态足迹时空特征与脱钩效应变化及灰色预测分析. 生态学报, 2019,39(5):1735-1747.]
[35]	Zhou Cheng, Feng Xuegang, Tang Rui. Analysis and forecast of coupling coordination development among the regional economy-ecological environment-tourism industry: A case study of provinces along the Yangtze Economic Zone. Economic Geography, 2016,36(3):186-193.
	[ 周成, 冯学钢, 唐睿. 区域经济—生态环境—旅游产业耦合协调发展分析与预测: 以长江经济带沿线各省市为例. 经济地理, 2016,36(3):186-193.]

	熵值法权重	层次分析法权重	综合权重	指标层	熵值法权重	层次分析法权重	综合权重
人口城镇化	0.1991	0.1238	0.1582	城镇人口密度(人/km²)	0.5461	0.3333	0.4130
人口城镇化	0.1991	0.1238	0.1582	城镇人口占比(%)	0.5518	0.6667	0.5870
经济城镇化	0.4027	0.3875	0.3981	人均地区生产总值(万元)	0.2689	0.4704	0.3558
				第二、三产值占GDP比重(%)	0.2725	0.2797	0.2762
				财政收入占地区生产总值比重(%)	0.2721	0.1142	0.1764
				全社会固定资产投资总额(万元)	0.2699	0.1358	0.1916
空间城镇化	0.1050	0.1011	0.1038	每万人城市建成区面积(km²)	1.0000	1.0000	1.0000
社会城镇化	0.2996	0.3875	0.3398	城镇居民人均可支配收入(元)	0.3695	0.5499	0.4369
				每万人拥有卫生机构数量(个)	0.3797	0.2098	0.2735
				社会消费品零售总额(万元)	0.3719	0.2402	0.2896

准则层	熵值法权重	层次分析法权重	综合权重	指标层	熵值法权重	层次分析法权重	综合权重
生态系统结构	0.3709	0.3145	0.3464	草地覆盖率(%)(+)	0.2182	0.2234	0.2209
				湿地占比(%)(+)	0.2019	0.1829	0.1923
				森林覆盖率(%)(+)	0.1677	0.1688	0.1684
				冰川占比(%)(+)	0.1968	0.1829	0.1898
				植被覆盖指数(+)	0.2155	0.2420	0.2285
生态环境功能	0.1480	0.2845	0.2081	生态空间占比(%)(+)	0.5412	0.4013	0.4707
生态环境功能	0.1480	0.2845	0.2081	生态系统服务价值(元)(+)	0.4588	0.5987	0.5293
生态环境压力	0.2470	0.2005	0.2257	PM_2.5平均浓度(μg)(-)	0.3317	0.2702	0.3001
				CO₂排放量(万t)(-)	0.3339	0.3528	0.3440
				生物栖息地侵占量(hm²)(-)	0.3345	0.3771	0.3560
生态环境格局	0.2341	0.2005	0.2197	景观破碎度(-)	0.3446	0.3548	0.3502
				景观连通性(+)	0.3166	0.3548	0.3356
				景观多样性(+)	0.3388	0.2905	0.3142

大类	协调发展度	亚类	F(x)与G(y)对比关系	基本类型
协调发展类	0.60~1.00	协调发展类(Ⅳ)	F(x)-G(y) > 0.1	协调发展类生态环境滞后型(Ⅳ-1)
			\|F(x)-G(y)\| ≤ 0.1	协调发展类城镇化生态环境同步型(Ⅳ-2)
			G(y)-F(x) > 0.1	协调发展城镇化滞后型(Ⅳ-3）
过渡类	0.50~0.59	勉强协调发展类(Ⅲ)	F(x)-G(y) > 0.1	勉强协调发展类生态环境滞后型(Ⅲ-1)
			\|F(x)-G(y)\| ≤ 0.1	勉强协调发展类城镇化生态环境同步型(Ⅲ-2)
			G(y)-F(x) > 0.1	勉强协调发展类城镇化滞后型(Ⅲ-3)
	0.40~0.49	濒临失调衰退类(Ⅱ)	F(x)-G(y) > 0.1	濒临失调衰退类生态环境滞后型(Ⅱ-1)
			\|F(x)-G(y)\| ≤ 0.1	濒临失调衰退类城镇化生态环境共损型(Ⅱ-2)
			G(y)-F(x) > 0.1	濒临失调衰退类城镇化滞后型(Ⅱ-3)
失调类	0.00~0.39	失调衰退类(Ⅰ)	F(x)-G(y) > 0.1	失调衰退类生态环境滞后型(Ⅰ-1)
			\|F(x)-G(y)\| ≤ 0.1	失调衰退类城镇化生态环境共损型(Ⅰ-2)
			G(y)-F(x) > 0.1	失调衰退类城镇化滞后型(Ⅰ-3)

状态		生态环境指数增长率	城镇化指数增长率	脱钩指数DI
脱钩	衰退脱钩	-	-	DI ≥ 1.2
	强脱钩	-	+	DI < 0
	弱脱钩	+	+	0 ≤ DI < 0.8
连接	扩张连接	+	+	0.8 ≤ DI < 1.2
连接	衰退连接	-	-	0.8 ≤ DI < 1.2
负脱钩	扩张负脱钩	+	+	DI ≥ 1.2
	强负脱钩	+	-	DI < 0
	弱负脱钩	-	-	0 ≤ DI < 0.8

	2000	2001	2002	2003	2004	2005	2006	2007
青藏高原	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅲ-3	Ⅲ-3
青海省	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅲ-3
西藏自治区	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅱ-3	Ⅲ-3
	2008	2009	2010	2011	2012	2013	2014	2015
青藏高原	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅳ-3	Ⅳ-3	Ⅳ-2	Ⅳ-2
青海省	Ⅲ-3	Ⅲ-3	Ⅳ-2	Ⅳ-2	Ⅳ-2	Ⅳ-2	Ⅳ-1	Ⅳ-1
西藏自治区	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅲ-3	Ⅳ-3	Ⅳ-3	Ⅳ-3	Ⅳ-3

Interaction between urbanization and eco-environment in Tibetan Plateau

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 20

References 35

Related Articles 15

Metrics

Comments

年份	ΔE	ΔU	DI	脱钩程度
2001	-0.02	0.01	-0.35	强脱钩
2002	0.00	0.01	-0.06	弱脱钩
2003	0.00	0.01	-0.02	弱脱钩
2004	-0.02	0.01	-0.44	强脱钩
2005	0.02	0.01	0.38	弱脱钩
2006	0.00	0.02	-0.06	弱脱钩
2007	0.00	0.02	-0.05	弱脱钩
2008	-0.01	0.02	-0.09	强脱钩
2009	0.00	0.02	-0.04	弱脱钩
2010	-0.02	0.03	-0.23	强脱钩
2011	0.00	0.03	0.03	弱脱钩
2012	-0.01	0.04	-0.08	强脱钩
2013	-0.03	0.04	-0.39	强脱钩
2014	-0.04	0.04	-0.69	强脱钩
2015	0.05	0.04	0.86	扩张连接

年份	地区	ΔE	ΔU	DI	状态	地区	ΔE	ΔU	DI	状态
2001	青海	-0.0214	0.0134	-0.5817	强脱钩	西藏	-0.0009	0.0172	-0.0118	强脱钩
2002	青海	0.0041	0.0095	0.1747	弱脱钩	西藏	-0.0073	0.0144	-0.1317	强脱钩
2003	青海	-0.0024	0.0101	-0.0997	强脱钩	西藏	0.0041	0.0100	0.1176	弱脱钩
2004	青海	-0.0234	0.0089	-1.1814	强脱钩	西藏	0.0009	0.0094	0.0275	弱脱钩
2005	青海	0.0243	0.0152	0.7844	弱脱钩	西藏	0.0003	0.0072	0.0142	弱脱钩
2006	青海	-0.0049	0.0178	-0.1381	强脱钩	西藏	-0.0006	0.0129	-0.0159	强脱钩
2007	青海	-0.0054	0.0214	-0.1362	强脱钩	西藏	-0.0016	0.0330	-0.0167	强脱钩
2008	青海	-0.0049	0.0231	-0.1254	强脱钩	西藏	-0.0018	0.0167	-0.0437	强脱钩
2009	青海	0.0013	0.0229	0.0356	弱脱钩	西藏	-0.0017	0.0188	-0.0383	强脱钩
2010	青海	-0.0146	0.0319	-0.3197	强脱钩	西藏	-0.0009	0.0251	-0.0168	强脱钩
2011	青海	0.0034	0.0408	0.0662	弱脱钩	西藏	-0.0004	0.0238	-0.0094	强脱钩
2012	青海	-0.0014	0.0421	-0.0280	强脱钩	西藏	-0.0028	0.0322	-0.0481	强脱钩
2013	青海	-0.0260	0.0400	-0.6294	强脱钩	西藏	-0.0029	0.0374	-0.0463	强脱钩
2014	青海	-0.0454	0.0414	-1.2288	强脱钩	西藏	-0.0096	0.0345	-0.1862	强脱钩
2015	青海	0.0500	0.0404	1.6851	扩张负脱钩	西藏	0.0053	0.0536	0.0730	弱脱钩

预测单元	青藏高原	青海	西藏	阿里	昌都	果洛	海北	海东	海南
平均相对误差(%)	1.76	1.97	1.97	2.57	0.83	0.94	2.32	1.56	2.47
相对精度(%)	98.24	98.02	98.04	97.42	99.16	99.06	97.67	98.44	97.53
C值	0.07	0.17	0.09	0.12	0.06	0.06	0.08	0.13	0.14
预测单元	海西	黄南	拉萨	林芝	那曲	日喀则	山南	西宁	玉树
平均相对误差(%)	3.41	1.22	1.07	1.05	1.42	0.90	0.55	1.02	2.54
相对精度(%)	96.58	98.77	98.93	98.95	98.57	99.10	99.45	98.98	97.47
C值	0.43	0.06	0.07	0.07	0.12	0.05	0.04	0.12	0.10

预测单元	青藏高原	青海	西藏	阿里	昌都	果洛	海北	海东	海南
2020年预测值	0.81	0.76	0.78	0.84	0.69	0.81	0.81	0.68	0.75
2025年预测值	0.96	0.85	0.90	0.98	0.80	0.96	0.95	0.76	0.86
预测单元	海西	黄南	拉萨	林芝	那曲	日喀则	山南	西宁	玉树
2020年预测值	0.63	0.88	0.82	0.78	0.72	0.74	0.83	0.73	0.81
2025年预测值	0.64	0.90	0.93	0.90	0..81	0.86	0.97	0.81	0.99

[1]	REN Yufei, FANG Chuanglin, LI Guangdong, SUN Si'ao, BAO Chao, LIU Ruowen. Progress in local and tele-coupling relationship between urbanization and eco-environment [J]. Acta Geographica Sinica, 2020, 75(3): 589-606.
[2]	QI Wei, LIU Shenghe, ZHOU Liang. Regional differentiation of population in Tibetan Plateau: Insight from the "Hu Line" [J]. Acta Geographica Sinica, 2020, 75(2): 255-267.
[3]	GAO Xing, KANG Shichang, LIU Qingsong, CHEN Pengfei, DUAN Zongqi. Magnetic characteristics of Qiangyong Co Lake sediments, southern Tibetan Plateau and its environmental significance during 1899-2011 [J]. Acta Geographica Sinica, 2020, 75(1): 68-81.
[4]	ZHANG Jie, SHI Peijun, YANG Jing, GONG Daoyi. The impact of the urbanization process on rainfall in Beijing:A case study of 7.21 rainstorm [J]. Acta Geographica Sinica, 2020, 75(1): 113-125.
[5]	ZHANG Kaihuang, QIAN Qinglan, YANG Qingsheng. An analysis of multilevel variables influencing China's land urbanization process [J]. Acta Geographica Sinica, 2020, 75(1): 179-193.
[6]	FAN Keke, ZHANG Qiang, SUN Peng, SONG Changqing, YU Huiqian, ZHU Xiudi, SHEN Zexi. Effect of soil moisture variation on near-surface air temperature over the Tibetan Plateau [J]. Acta Geographica Sinica, 2020, 75(1): 82-97.
[7]	XIE Linhuan, JIANG Tao, CAO Yingjie, ZHANG Desheng, LI Kun, TANG Changyuan. Characteristics of hydrogen and oxygen isotopes in precipitation and runoff and flood hydrograph separation in an urbanized catchment [J]. Acta Geographica Sinica, 2019, 74(9): 1733-1744.
[8]	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.
[9]	TONG Biao, DANG Anrong, XU Jian. A historical study on the patterns of spatio-temporal evolution of towns in the Wuding River Basin [J]. Acta Geographica Sinica, 2019, 74(8): 1508-1524.
[10]	ZHUANG Liang,YE Chao,MA Wei,ZHAO Biao,HU Senlin. Production of space and developmental logic of New Urban Districts in China [J]. Acta Geographica Sinica, 2019, 74(8): 1548-1562.
[11]	GUO Chao,MENG Hongwei,MA Yuzhen,LI Dandan,HU Caili,LIU Jierui,LUO Congwen,WANG Kai. Environmental variations recorded by chemical element in the sediments of Lake Yamzhog Yumco on the southern Tibetan Plateau over the past 2000 years [J]. Acta Geographica Sinica, 2019, 74(7): 1345-1362.
[12]	WU Yijin,ZHAO Xingshuang,XI Yue,LIU Hui,LI Chang. Comprehensive evaluation and spatial-temporal changes of eco-environmental quality based on MODIS in Tibet during 2006-2016 [J]. Acta Geographica Sinica, 2019, 74(7): 1438-1449.
[13]	CUI Xuegang,FANG Chuanglin,LIU Haimeng,LIU Xiaofei,LI Yonghong. Dynamic simulation of urbanization and eco-environment coupling: A review on theory, methods and applications [J]. Acta Geographica Sinica, 2019, 74(6): 1079-1096.
[14]	Mingxing CHEN, Chao YE, Dadao LU, Yuwen SUI, Shasha GUO. Cognition and construction of the theoretical connotation for new-type urbanization with Chinese characteristics [J]. Acta Geographica Sinica, 2019, 74(4): 633-647.
[15]	Shuaibin LIU, Shan YANG, Zhao WANG. Characteristics and formation mechanism of China's provincial urbanization spatial correlation based on population flow [J]. Acta Geographica Sinica, 2019, 74(4): 648-663.