中国综合气候变化风险区划

doi:10.11821/dlxb201701001

地理学报 ›› 2017, Vol. 72 ›› Issue (1): 3-17.doi: 10.11821/dlxb201701001

• 气候与植被 • 下一篇

中国综合气候变化风险区划

吴绍洪¹, 潘韬¹, 刘燕华¹, 邓浩宇^1,², 焦珂伟^1,², 陆晴^1,², 冯爱青^1,², 岳溪柳^1,², 尹云鹤¹, 赵东升¹, 高江波¹

1. 中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室,北京 100101
2. 中国科学院大学,北京 100049

收稿日期:2016-07-22 修回日期:2016-10-10 出版日期:2017-01-20 发布日期:2017-03-23
作者简介:
作者简介：吴绍洪(1961-), 男, 广东潮州人, 博士, 研究员, 博士生导师, 中国地理学会会员(S110000894M), 主要研究方向为自然地理综合研究与全球变化。E-mail: wush@igsnrr.ac.cn
基金资助:
国家自然科学基金重点项目(41530749);中国清洁发展机制基金赠款项目(2013034);“十二五”国家科技支撑计划项目(2012BAC19B10);国家自然科学基金青年项目(41301092)

Comprehensive climate change risk regionalization of China

Shaohong WU¹, Tao PAN¹, Yanhua LIU¹, Haoyu DENG^1,², Kewei JIAO^1,², Qing LU^1,², Aiqing FENG^1,², Xiliu YUE^1,², Yunhe YIN¹, Dongsheng ZHAO¹, Jiangbo GAO¹

1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2016-07-22 Revised:2016-10-10 Online:2017-01-20 Published:2017-03-23
Supported by:
Key Project of National Natural Science Foundation of China, No.41530749;Grants Program of China Clean Development Mechanism Fund, No.2013034;National Science & Technology Pillar Program during the 12th Five-year Plan Period, No.2012BAC19B10;National Natural Science Foundation of China, No.41301092

摘要/Abstract

摘要：

气候变化作用于自然环境与社会经济系统,产生一系列影响。随着未来社会经济发展,气候变化危险性与自然环境和社会经济承险体耦合形成有规律的风险时空格局。将此时空格局系统化表达即是综合气候变化风险区划,是适应气候变化的科学基础之一。本文基于RCP 8.5下的近中期（2021-2050年）气候情景,分析了中国未来气温和降水变化趋势与速率,评价了干旱、高温热浪以及洪涝等极端事件危险性,选取人口、经济、粮食生产和生态系统等承险体风险作为综合风险定量评估的指标。在系统性、主导因素以及空间连续性原则的指导下,提出中国综合气候变化风险区划三级区域系统方案,划分出8个气候变化敏感区、19个极端事件危险区和46个承险体综合风险区。结果发现：2021-2050年RCP 8.5情景下中国的气候变化高风险区主要包括：华北弱暖增雨敏感区,华北平原热浪危险区,人口经济粮食高风险区;华南—西南弱暖增雨敏感区,黔滇山地热浪危险区,生态经济粮食人口高风险区;华南沿海涝热危险区,生态粮食经济人口高风险区。中国综合气候变化风险区划涵盖了气候变化情景、极端事件发生、社会经济与生态系统的可能损失信息,可以为国家或地方应对气候变化及气候变化风险管理提供科技支撑。

关键词: 综合气候变化风险, 区划, 气候变化敏感区, 极端事件危险区, 承险体综合风险区, 中国

Abstract:

The influence of climate change on the natural environmental and socio-economic system leads to a series of adverse effects. With the development of socio-economy, climate change hazards interact with the environmental and socio-economic risk bearing body and form the spatial-temporal patterns of climate change risk. The systematic expression of the spatial-temporal patterns is the scientific foundation of climate changes adaptation. Based on the RCP8.5 climate scenario data from 2021 to 2050, we analyzed the variation trend and rate of temperature and precipitation, and assessed the hazard of extreme climate events including drought, heat wave and flood. Then, economy, population, food production and ecosystem were selected as the risk bearing bodies to assess the possible impacts of climate change as the indices qualifying the comprehensive climate change risk. Under the guidance of systematic principle, predominating factor principle, as well as the space consecution principle, we proposed a scheme of three-level regional division system for the comprehensive climate change risk regionalization in China. Finally, the Chinese mainland was divided into 8 climate change sensitive zones, 19 danger zones of extreme events and 46 comprehensive risk zones of bearing body. The result shows that the climate changes high risk zones in China under the RCP8.5 climate scenario from 2021 to 2050 include North China weak warming and precipitation increased sensitive zone, North China Plain heat wave danger zone, population-economy-food high risk zone, South China-Southwest China weak warming and precipitation increased sensitive zone, Yunnan-Guizhou mountain heat wave danger zone, ecosystem-economy-food-population high risk zone; coastal South China flood-heat wave danger zone, ecosystem-food-economy-population high risk zone. The comprehensive climate change risk regionalization of China covers the climate change scenarios, the extreme events, and the possible lost information of the socio-economy and ecosystem, which can provide scientific and technological support for national and local governments to cope with the climate change and risk management.

Key words: comprehensive climate change risk, regionalization, climate change sensitive zones, danger areas of extreme events, comprehensive risk zones of bearing body, China

吴绍洪, 潘韬, 刘燕华, 邓浩宇, 焦珂伟, 陆晴, 冯爱青, 岳溪柳, 尹云鹤, 赵东升, 高江波. 中国综合气候变化风险区划[J]. 地理学报, 2017, 72(1): 3-17.

Shaohong WU, Tao PAN, Yanhua LIU, Haoyu DENG, Kewei JIAO, Qing LU, Aiqing FENG, Xiliu YUE, Yunhe YIN, Dongsheng ZHAO, Jiangbo GAO. Comprehensive climate change risk regionalization of China[J]. Acta Geographica Sinica, 2017, 72(1): 3-17.

图/表 8

表1

表2

中国综合气候变化风险区划系统"

气候变化敏感区	极端事件危险区	承险体风险区
I 东北强暖增雨敏感区	A 大小兴安岭—内蒙古高原干旱危险区	I A 1(ba) 经济人口低风险区 I A 1(bac) 经济人口生态低风险区 I A 1(cab) 生态人口经济低风险区 I A 2(cba) 生态经济人口中低风险区 I A 3(cab) 生态人口经济中风险区
I 东北强暖增雨敏感区	B 松辽平原—长白山山地洪涝危险区	I B 1(ba) 经济人口低风险区 I B 2(ba) 经济人口中低风险区 I B 2(bacd) 经济人口生态粮食中低风险区
II 华北弱暖增雨敏感区	A 黄土高原干旱危险区	II A 1(ba) 经济人口低风险区 II A 2(badc) 经济人口粮食生态中低风险区 II A 2(cba) 生态经济人口中低风险区 II A 3(bacd) 人口经济生态粮食中风险区
	B 华东沿海洪涝危险区	II B 3(abc) 人口经济生态中风险区 II B 3(ba) 经济人口中风险区 II B 4(abdc) 人口经济粮食生态中高风险区
	C 华北平原热浪危险区	II C 3(bad) 经济人口粮食中风险区 II C 3(badc) 经济人口粮食生态中风险区 II C 5(abd) 人口经济粮食高风险区
	D 鄂尔多斯高原旱热危险区	II D 1(bac) 经济人口生态低风险区 II D 2(cab) 生态人口经济中低风险区
III 华东—华中强暖减雨敏感区	B 东南沿海洪涝危险区	III B 2(adb) 人口粮食经济中低风险区 III B 4(dabc) 粮食人口经济生态中高风险区
	C 四川盆地—鄂黔山地热浪危险区	III C 2(abd) 人口经济粮食中低风险区 III C 2(ba) 经济人口中低风险区 III C 3(abc) 人口经济生态中风险区
	E 长江中下游涝热危险区	III E 3(abc) 人口经济生态中风险区 III E 4(abdc) 人口经济粮食生态中高风险区
IV 华南—西南弱暖增雨敏感区	A 滇西—滇中干旱危险区	IV A 1(bac) 经济人口生态低风险区 IV A 4(dcba) 粮食生态经济人口中高风险区
	C 黔滇山地热浪危险区	IV C 3(bcda) 经济生态粮食人口中低风险区 IV C 5(cbda) 生态经济粮食人口高风险区
	E 华南沿海涝热危险区	IV E 3(dba) 粮食经济人口中风险区 IV E 5(cdba) 生态粮食经济人口高风险区
V 西北强暖增雨敏感区	C 东塔里木盆地热浪危险区	V C 1(dba) 粮食经济人口低风险区 V C 2(dab) 粮食人口经济中低风险区
V 西北强暖增雨敏感区	D 新甘蒙—准格尔旱热危险区	V D 1(abc) 人口经济生态低风险区 V D 1(ba) 经济人口低风险区 V D 2(dab) 粮食人口经济中低风险区
VI 西北弱暖减雨敏感区	A 天山高山盆地干旱危险区	VI A 2(cbad) 生态经济人口粮食中低风险区
VI 西北弱暖减雨敏感区	C 西塔里木盆地热浪危险区	VI C 1(d) 粮食低风险区 VI C 3(dba) 粮食经济人口中风险区
VII 青藏高原弱暖增雨敏感区	A 青藏高原东部干旱危险区	VII A 1(ba) 经济人口低风险区 VII A 2(dcba) 粮食生态经济人口中低风险区
VII 青藏高原弱暖增雨敏感区	B 东喜马拉雅南翼洪涝危险区	VII B 1(cab) 生态人口经济低风险区
VIII 青藏高原强暖增雨敏感区	A 青藏高原中西部干旱危险区	VIII A 0 基本无风险区 VIII A 1(dba) 粮食经济人口低风险区

表2

图1

图2

图3

图4

图5

图6

参考文献 46

[1]	Giddens A.The Politics of Climate Change. Routledge, 2009.
[2]	Pindyck R.Climate change policy: What do the models tell US? Journal of Economic Literature, 2013,51(3):860-872(813). doi: 10.1257/jel.51.3.860
[3]	Edenhofer O, Seyboth K.Intergovernmental Panel on Climate Change (IPCC). Encyclopedia of Energy Natural Resource & Environmental Economics, 2013, 26(D14): 48-56.
[4]	IPCC. Climate Change 2013:The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York,USA: Cambridge University Press, 2013. doi: 10.1007/BF00524943
[5]	Sheffield J, Wood E F, Roderick M L.Little change in global drought over the past 60 years. Nature, 2012, 491(7424): 435-438. doi: 10.1038/nature11575 pmid: 23151587
[6]	Roderick M L, Sun F, Farquhar G D.Water cycle varies over land and sea. Science, 2012, 336(6086): 1230-1231. doi: 10.1126/science.336.6086.1230-b pmid: 22679080
[7]	IPCC. Managing the risks of extreme events and disasters to advance climate change adaptation: A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press, 2012. doi: 10.1136/jech-2012-201045 pmid: 22766781
[8]	Qin Dahe.Extreme Climate Events and Disaster Risk Management and Adaptation to the National Assessment Report of China. Beijing: Science Press, 2015.
	[秦大河.中国极端气候事件和灾害风险管理及适应国家评估报告. 北京: 科学出版社, 2015.]
[9]	UNFCCC. The Paris Agreement (FCCC/CP/2015/L.9/Rev.1) [R/OL]. .
[10]	Kahn M E.The climate change adaptation literature. Review of Environmental Economics & Policy, 2016. doi: 10.1093/reep/rev023
[11]	Wu Shaohong. Integrated Risk Governance.Beijing: Science Press, 2011.
	[吴绍洪.综合风险防范. 北京: 科学出版社, 2011.]
[12]	Wu Shaohong, Yin Yunhe, Fan Jie, et al.Retrospect and prospect of regionalization system of China. Geographical Research, 2010, 29(9): 1538-1545. doi: 10.11821/yj2010090001
	[吴绍洪, 尹云鹤, 樊杰, 等. 地域系统研究的开拓与发展. 地理研究, 2010, 29(9): 1538-1545.] doi: 10.11821/yj2010090001
[13]	Huang Binwei.Draft of overall natural regionalization of China. Chinese Science Bulletin, 1959, 4(18): 594-602.
	[黄秉维. 中国综合自然区划草案. 科学通报, 1959, 4(18): 594-602.]
[14]	Huang Binwei.Sketch of overall natural regionalization of China. Geography, 1989(21): 10-20. doi: 10.11821/xb195804002
	[黄秉维. 中国综合自然区划纲要. 地理集刊, 1989(21): 10-20.] doi: 10.11821/xb195804002
[15]	Ren Meie, Yang Renzhang, Bao Haosheng.Sketch of Natural Regionalization of China. Beijing: The Commercial Press, 1979.
	[任美锷, 杨纫章, 包浩生. 中国自然区划纲要. 北京: 商务印书馆, 1979.]
[16]	Zhao Songqiao.A new scheme for overall natural regionalization of China. Acta Geographica Sinica, 1983, 38(1): 1-10. doi: 10.11821/xb198301001
	[赵松乔. 中国综合自然区划的一个新方案. 地理学报, 1983, 38(1): 1-10.] doi: 10.11821/xb198301001
[17]	Xi Chengfan, Zhang Junmin, Qiu Baojian, et al.Sketch of Overall Natural Regionalization of China. Beijing: Science Press, 1984.
	[席承藩, 张俊民, 丘宝剑, 等. 中国自然区划概要. 北京: 科学出版社, 1984.]
[18]	Zheng D.A study on the eco-geographic regional system of China. Cambridge, UK: FAO FRA2000 Global Ecological Zoning Workshop, 1999.
[19]	Yang Qinye, Zheng Du, Wu Shaohong.Research on eco- regionalization systems of China. Progress in Natural Science, 2002, 12(3): 287-291. doi: 10.3321/j.issn:1002-008X.2002.03.012
	[杨勤业, 郑度, 吴绍洪. 中国的生态地域系统研究. 自然科学进展, 2002, 12(3): 287-291.] doi: 10.3321/j.issn:1002-008X.2002.03.012
[20]	Fu Bojie, Liu Guohua, Chen Liding et al. Scheme of ecological regionalization in China. Acta Ecologica Sinica, 2001, 21(1): 1-6. doi: 10.3321/j.issn:1000-0933.2001.01.001
	[傅伯杰, 刘国华, 陈利顶, 等. 中国生态区划方案. 生态学报, 2001, 21(1): 1-6.] doi: 10.3321/j.issn:1000-0933.2001.01.001
[21]	Zheng Du, et al.Research on Eco-geographical Region Systems of China. Beijing: The Commercial Press, 2008.
	[郑度, 等. 中国生态地理区域系统研究. 北京: 商务印书馆, 2008.]
[22]	Wu Shaohong.The basic designation of integrated zonation: Case study of Chaidam Basin. Geographical Research, 1998, 17(4): 367-374. doi: 10.3321/j.issn:1000-0585.1998.04.005
	[吴绍洪. 综合区划的初步设想: 以柴达木盆地为例. 地理研究, 1998, 17(4): 367-374.] doi: 10.3321/j.issn:1000-0585.1998.04.005
[23]	Zheng Du, Fu Xiaofeng.A preliminary study on issues of integrated geographical regionalization. Scientia Geographica Sinica, 1999, 19(3): 193-197. doi: 10.3969/j.issn.1000-0690.1999.03.001
	[郑度, 傅小锋. 关于综合地理区划若干问题的探讨. 地理科学, 1999, 19(3): 193-197.] doi: 10.3969/j.issn.1000-0690.1999.03.001
[24]	Ge Quansheng, Zhao Mingcha, Zheng Jingyun, et al.Division of the terrestrial system in China: A case study from Huang's theory on terrestrial system science. Scientia Geographica Sinica, 2003, 23(1): 1-6. doi: 10.3969/j.issn.1000-0690.2003.01.001
	[葛全胜, 赵名茶, 郑景云, 等. 中国陆地表层系统分区: 对黄秉维先生陆地表层系统理论的学习与实践. 地理科学, 2003, 23(1): 1-6.] doi: 10.3969/j.issn.1000-0690.2003.01.001
[25]	Fan Jie.The scientific foundation of major function oriented zoning in China. Acta Geographica Sinica, 2007, 62(4): 339-350. doi: 10.3321/j.issn:0375-5444.2007.04.001
	[樊杰. 我国主体功能区划的科学基础. 地理学报, 2007, 62(4): 339-350.] doi: 10.3321/j.issn:0375-5444.2007.04.001
[26]	Shi Peijun, Sun Shao, Wang Ming, et al.Climate Change Regionalization in China (1961-2010). Science China: Earth Sciences, 2014(10): 2294-2306.
	[史培军, 孙劭, 汪明, 等.中国气候变化区划(1961-2010年). 中国科学: 地球科学, 2014(10): 2294-2306.]
[27]	Zhou Chenghu, Wan Qing, Huang Shifeng, et al.A GIS-based approach to flood risk zonation. Acta Geographica Sinica, 2000, 55(1): 15-24. doi: 10.3321/j.issn:0375-5444.2000.01.003
	[周成虎, 万庆, 黄诗峰, 等. 基于GIS的洪水灾害风险区划研究. 地理学报, 2000, 55(1): 15-24.] doi: 10.3321/j.issn:0375-5444.2000.01.003
[28]	Tang Chuan, Zhu Jing.A GIS based regional torrent risk zonation. Acta Geographica Sinica, 2005, 60(1): 87-94. doi: 10.3321/j.issn:0375-5444.2005.01.010
	[唐川, 朱静. 基于GIS的山洪灾害风险区划. 地理学报, 2005, 60(1): 87-94.] doi: 10.3321/j.issn:0375-5444.2005.01.010
[29]	Wu Dongli, Wang Chunyi, Xue Hongxi, et al.The drought risk zoning of winter wheat in North China. Acta Ecologica Sinica, 2011, 31(3): 760-769.
	[吴东丽, 王春乙, 薛红喜, 等. 华北地区冬小麦干旱风险区划. 生态学报, 2011, 31(3): 760-769.]
[30]	Tang Weian, Tian Hong, Yang Yuanjian, et al.Risk zonation of cold disaster based on GIS: A case study of Anhui province. Scientia Geographica Sinica, 2012, 32(3): 356-361.
	[唐为安, 田红, 杨元建, 等. 基于GIS的低温冷冻灾害风险区划研究: 以安徽省为例. 地理科学, 2012, 32(3): 356-361.]
[31]	United Nations. United Nations Framework Convention on Climate Change [R/OL]. 1992
[32]	Vuuren D P V, Edmonds J, Kainuma M, et al. The representative concentration pathways: An overview. Climatic Change, 2011, 109(1/2): 5-31.
[33]	Edmonds J.The representative concentration pathways: An overview. Climatic Change, 2011, 109(1/2): 5-31.
[34]	Thomson A M, Calvin K V, Smith S J, et al.RCP4.5: A pathway for stabilization of radiative forcing by 2100. Climatic Change, 2011, 109(1/2): 77-94. doi: 10.1007/s10584-011-0151-4
[35]	Li K, Wu S, Dai E, et al.Flood loss analysis and quantitative risk assessment in China. Natural Hazards, 2012, 63(2): 737-760. doi: 10.1007/s11069-012-0180-y
[36]	Liu Yi, Wu Shaohong, Xu Zhongchun, et al.Methodology for assessment and classification of natural disaster risk: A case study on seismic disaster in Shanxi Province. Geographical Research, 2011, 30(2): 195-208. doi: 10.3724/SP.J.1011.2011.00415
	[刘毅, 吴绍洪, 徐中春, 等. 自然灾害风险评估与分级方法论探研: 以山西省地震灾害风险为例. 地理研究, 2011, 30(2): 195-208.] doi: 10.3724/SP.J.1011.2011.00415
[37]	Shi Xiaoli, Wu Shaohong, Dai Erfu, et al.Risk assessment of carbon sequestration for terrestrial ecosystems from climate change in China. Geographical Research, 2011, 30(4): 601-611. doi: 10.11821/yj2011040003
	[石晓丽, 吴绍洪, 戴尔阜, 等. 气候变化情景下中国陆地生态系统碳吸收功能风险评价. 地理研究, 2011, 30(4): 601-611.] doi: 10.11821/yj2011040003
[38]	Wu Guanghe. Physical Geography.Beijing: Higher Education Press, 2008.
	[伍光和. 自然地理学. 北京: 高等教育出版社, 2008.]
[39]	Yang Qinye.The Integrated Studies of Geography and Land System Science. Beijing: Science Press, 1999.
	[杨勤业. 地理综合研究与陆地系统科学. 北京: 科学出版社, 1999.]
[40]	Deng Guo, Wang Angsheng, Zhou Yushu.Grain Yield Risk Level Calculated by Probability Distribution. Journal of Nanjing Institute of Meteorology, 2002, 25(4): 481-488. doi: 10.3969/j.issn.1674-7097.2002.04.007
	[邓国, 王昂生, 周玉淑. 粮食生产风险水平的概率分布计算方法. 南京气象学院学报, 2002, 25(4): 481-488.] doi: 10.3969/j.issn.1674-7097.2002.04.007
[41]	Nakicenovic N, Swart R J.Special Report on Emissions Scenarios (SRES): A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Journal of Interpersonal, 2000, 559.
[42]	Piani C, Weedon G P, Best M, et al.Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models. Journal of Hydrology, 2010, 395(3/4): 199-215. doi: 10.1016/j.jhydrol.2010.10.024
[43]	Hagemann S, Chen C, Haerter J O, et al.Impact of a statistical bias correction on the projected hydrological changes obtained from three GCMs and two hydrology models. Journal of Hydrometeorology, 2011, 12(4): 556-578.
[44]	Davie J C S, Falloon P D, Kahana R, et al. Comparing projections of future changes in runoff and water resources from hydrological and ecosystem models in ISI-MIP. Earth System Dynamics Discussions, 2013, 4(1): 279-315. doi: 10.5194/esdd-4-279-2013
[45]	Portmann F T, Döll P, Eisner S, et al.Impact of climate change on renewable groundwater resources: Assessing the benefits of avoided greenhouse gas emissions using selected CMIP5 climate projections. Environmental Research Letters, 2013, 8(2): 279-288. doi: 10.1088/1748-9326/8/2/024023
[46]	Rosenzweig C, Elliott J, Deryng D, et al.Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(9): 3268-3273. doi: 10.1073/pnas.1222463110 pmid: 24344314

指标名称	轻度	中度	重度
综合气象干旱指数(CI)	-1.8<CI ≤ -1.2	-2.4<CI ≤ -1.8	CI ≤ -2.4
高温热浪指数(HI)	2.8 ≤ HI<6.5	6.5 ≤ HI<10.5	HI ≥1 0.5
洪涝指数(FI)*	30(35)~150 mm	150~250 mm	≥ 250 mm

中国综合气候变化风险区划

Comprehensive climate change risk regionalization of China

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 46

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	朱艳硕, 王铮, 程文露. 中国装备制造业的空间枢纽—网络结构[J]. 地理学报, 2019, 74(8): 1525-1533.
[2]	庄良,叶超,马卫,赵彪,胡森林. 中国城镇化进程中新区的空间生产及其演化逻辑[J]. 地理学报, 2019, 74(8): 1548-1562.
[3]	陈小强, 袁丽华, 沈石, 梁晓瑶, 王元慧, 王翔宇, 叶思菁, 程昌秀, 宋长青. 中国及其周边国家间地缘关系解析[J]. 地理学报, 2019, 74(8): 1534-1547.
[4]	高超,汪丽,陈财,罗纲,孙艳伟. 海平面上升风险中国大陆沿海地区人口与经济暴露度[J]. 地理学报, 2019, 74(8): 1590-1604.
[5]	郑景云,刘洋,吴茂炜,张学珍,郝志新. 中国中世纪气候异常期温度的多尺度变化特征及区域差异[J]. 地理学报, 2019, 74(7): 1281-1291.
[6]	周沂,贺灿飞. 中国城市出口产品演化[J]. 地理学报, 2019, 74(6): 1097-1111.
[7]	王少剑,黄永源. 中国城市碳排放强度的空间溢出效应及驱动因素[J]. 地理学报, 2019, 74(6): 1131-1148.
[8]	宋雪茜,邓伟,周鹏,张少尧,万将军,刘颖. 两层级公共医疗资源空间均衡性及其影响机制——以分级诊疗改革为背景[J]. 地理学报, 2019, 74(6): 1178-1189.
[9]	杨宇,李小云,董雯,洪辉,何则,金凤君,刘毅. 中国人地关系综合评价的理论模型与实证[J]. 地理学报, 2019, 74(6): 1063-1078.
[10]	马丹阳, 尹云鹤, 吴绍洪, 郑度. 中国干湿格局对未来高排放情景下气候变化响应的敏感性[J]. 地理学报, 2019, 74(5): 857-874.
[11]	程维明,周成虎,李炳元,申元村. 中国地貌区划理论与分区体系研究[J]. 地理学报, 2019, 74(5): 839-856.
[12]	刘俊,黄莉,孙晓倩,李宁馨,张恒锦. 气候变化对中国观鸟旅游的影响——基于鸟类物候变化的分析[J]. 地理学报, 2019, 74(5): 912-922.
[13]	杨帆,何凡能,李美娇,李士成. 全球历史森林数据中国区域的可靠性评估[J]. 地理学报, 2019, 74(5): 923-934.
[14]	赵鹏军,吕迪. 中国小城镇镇区土地利用结构特征[J]. 地理学报, 2019, 74(5): 1011-1024.
[15]	方创琳, 王振波, 刘海猛. 美丽中国建设的理论基础与评估方案探索[J]. 地理学报, 2019, 74(4): 619-632.