长三角快速城市化地区景观多功能性演变——以苏州市为例

doi:10.18306/dlkxjz.2021.02.003

地理科学进展 ›› 2021, Vol. 40 ›› Issue (2): 207-219.doi: 10.18306/dlkxjz.2021.02.003

长三角快速城市化地区景观多功能性演变——以苏州市为例

梁鑫源¹^,², 金晓斌¹^,²^,³^,^*(), 韩博¹, 孙瑞¹, 张晓琳¹, 周寅康¹^,²^,³

1. 南京大学地理与海洋科学学院,南京 210023
2. 自然资源部海岸带开发与保护重点实验室,南京 210023
3. 江苏省土地开发整理技术工程中心,南京 210023

收稿日期:2020-04-27 修回日期:2020-06-01 出版日期:2021-02-28 发布日期:2021-04-28
通讯作者: 金晓斌
作者简介:梁鑫源(1996— ),男,河南洛阳人,博士生,主要从事土地利用与国土整治。E-mail: liang_xiny@foxmail.com
基金资助:
国家自然科学基金项目(41971234);国家自然科学基金项目(41971235);国家社会科学基金重大项目(19ZDA096)

Landscape multifunctionality change in rapidly urbanized areas of the Yangtze River Delta:A case study of Suzhou City

LIANG Xinyuan¹^,², JIN Xiaobin¹^,²^,³^,^*(), HAN Bo¹, SUN Rui¹, ZHANG Xiaolin¹, ZHOU Yinkang¹^,²^,³

1. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
2. Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210023, China
3. Jiangsu Land Development and Consolidation Technology Engineering Center, Nanjing 210023, China

Received:2020-04-27 Revised:2020-06-01 Online:2021-02-28 Published:2021-04-28
Contact: JIN Xiaobin
Supported by:
National Natural Science Foundation of China, No(41971234);National Natural Science Foundation of China, No(41971235);Major Program of National Social Science Foundation of China, No(19ZDA096)

摘要/Abstract

摘要：

评估快速城市化地区的景观多功能性演变特征对于理解城乡发展转型下的资源配置与优化、制定合理的区域土地管理与规划政策至关重要。论文以长三角经济区中城市化进程最为突出的代表性城市——苏州市为研究区,选取居住承载、粮食供给、生境维持、水源涵养、气候调节与土壤保持6种景观功能指标,通过空间分析、SOFM网络模型等方法,基于1 km景观单元对区域景观多功能性的热点演变规律、权衡协同演化关系等进行分析。研究表明：① 受城市扩张影响,2000—2015年间苏州市景观多功能以居住承载功能的扩散态势为主,其他景观功能均呈现差异化缩减趋势,其中粮食供给与生境维持的功能弱化最为显著,且3种调节功能的空间分布特征存在一致性。② 随时间推移,苏州市景观多功能性逐渐增强,其高值区(>2)范围集中分布在林草地与耕地景观。在社会经济发展影响下,区域景观多功能性时空演变特征由强到弱并逐渐趋于稳定,演变热点区主要分布在乡村地区与城乡结合部,冷点区则以生态空间集聚为主。③ 景观多功能之间权衡与协同关系在研究期内的特征规律并未因时间序列演进表现出差异性,但权衡与协同程度存在波动性变化趋势。结合多功能权衡特征与多功能性热点变化规律,可在景观单元与乡镇行政单元上将苏州市划分出8类主导景观功能与4类城乡发展分区。整体而言,长三角快速城市化地区的景观多功能性优势呈“城市→近郊区→远郊区→乡村”的圈层式空间迁移过程,但多功能性映射出的土地利用多样化势必会导致更多的土地利用冲突问题,决策者应在多尺度时空耦合视角综合考虑景观管理或土地利用政策的设计与实施。

关键词: 长三角, 城市化, 景观多功能性, 演变特征, 多尺度耦合

Abstract:

Assessing the characteristics of landscape multifunctionality change in rapidly urbanized areas is critical for understanding resource allocation and optimization under the background of rural-urban development and transformation and for formulating reasonable regional land management and planning policies. This study took Suzhou City, the most prominent representative city in the urbanization process in the Yangtze River Delta Economic Zone, as the research area. Six landscape multifunctionality indicators are selected, including residential support, food supply, habitat maintenance, water conservation, climate regulation, and soil retention. Based on the 1 km landscape units, change in hotspots of regional landscape multifunctionality and trade-off co-evolution relationships were analyzed through spatial analysis, self-organizing feature maps (SOFM) network model, and other methods. The research shows that: 1) Affected by urban expansion, landscape multifunctions in Suzhou during 2000-2015 were dominated by the spread of residential support functions. Other landscape functions represented a differentiated shrinking trend, of which the function of food supply and habitat maintenance was weakened most significantly, and the spatial distribution characteristics of the three regulatory functions were consistent. 2) Landscape multifunctionality in Suzhou has gradually increased over time, and its high-value (>2) areas are concentrated in forest, grassland, and farmland areas. The spatiotemporal change of regional landscape multifunctionality varied from strong to weak and gradually stabilized under the influence of socioeconomic development, the hotspots of change were mainly distributed in rural areas and rural-urban junctions, and the cold spots are mainly based on ecological spatial agglomerations. 3) Trade-off relationships between landscape multifunctions during the study period did not change over time, but there is a volatile change in trade-off degrees. Combining the features of multifunctional trade-offs and the changing pattern of multifunctionality hotspots, Suzhou City can be divided into eight types of dominant landscape functions and four types of rural-urban development zones in landscape units and township administrative units. Overall, the advantages of landscape multifunctionality in rapidly urbanized areas of the Yangtze River Delta present a circular spatial migration process of "city → near suburbs → far suburbs → rural areas". However, land use diversifications mapped out by the multifunctionality will inevitably lead to more land use conflicts. Policymakers should consider the design and implementation of landscape management or land use policies from a multi-scale spatiotemporal coupling perspective.

Key words: Yangtze River Delta, urbanization, landscape multifunctionality, characteristics of change, multiscale coupling

梁鑫源, 金晓斌, 韩博, 孙瑞, 张晓琳, 周寅康. 长三角快速城市化地区景观多功能性演变——以苏州市为例[J]. 地理科学进展, 2021, 40(2): 207-219.

LIANG Xinyuan, JIN Xiaobin, HAN Bo, SUN Rui, ZHANG Xiaolin, ZHOU Yinkang. Landscape multifunctionality change in rapidly urbanized areas of the Yangtze River Delta:A case study of Suzhou City[J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 207-219.

图/表 8

图1

表1

景观多功能描述及计算方法"

景观功能	功能描述	应用模型	计算过程
居住承载(RS)	为人类生存需求提供居住空间的能力	基于土地利用数据的人口空间分布回归模型^[31,32]	$pop = ∑ i = 1 n (k i × s i) + b$ pop是某模拟单元的人口总数,n是土地利用类型数量,k_i是某模拟单元第i种土地利用类型系数,s_i是某模拟单元第i种土地利用类型的面积,b为常数项
粮食供给(GS)	为人类生存需求提供粮食的能力	基于耕地与EVI的粮食产量空间分配模型^[33,36]	$G ij = EV I ij EV I sum, j × G j$ G_ij是j乡镇i农田单元作物产量,G_j是j乡镇的总产量,EVI_ij是j乡镇i农田单元的EVI值,EVI_sum_,j是j乡镇的EVI总值
水源涵养(WC)	为调节径流和河流流量的地块产水能力	生态系统服务和交易的综合评估模型(InVEST)^[37]	$Yiel d jx = 1 - E T mean, jx Rai n x × Rai n x$ Yield_jx为产水量,j为某一土地利用类型,x代表某一栅格单元,ET_mean_,jx为平均实际蒸散发量,Rain_x为年降雨量
生境维持(HM)	提供适合于个体和种群生存条件的能力	生态系统服务和交易的综合评估模型(InVEST)^[37]	$Q xj = H j × 1 - D xj z D xj z + k z$ Q_xj为土地利用类型j中的斑块组x的生境质量,H_j为土地利用类型j的生境适宜性,D_xj为土地利用类型j中栅格x的总威胁水平,z和k为比例因子(常数)
气候调节(CR)	通过储存和固持碳控制温室气体排放的能力	生态系统服务和交易的综合评估模型(InVEST)^[37]	$C j = C above, j + C below, j + C dead, j + C soil, j$ C_j为土地利用类型j的碳储量,C_above_,j为植被地上碳库,C_below_,j为植被地下碳库,C_dead_,j为凋落物碳库,C_soil_,j为表层土壤有机碳库
土壤保持(SR)	减少水土流失和保持土壤养分的能力	修正的通用土壤流失方程(RUSLE)^[38]	$A = R × K × LS × (1 - C × P)$ A为土壤流失量,R为降雨及径流因子,K为土壤可蚀性因子,LS为坡度坡长因子,C为地表植被覆盖因子,P为水土保持措施因子

表1

图2

图3

图4

图5

图6

图7

参考文献 51

[1]	Forman R T T . Some general principles of landscape and regional ecology[J]. Landscape Ecology, 1995,10(3):133-142.
[2]	Grass I, Kubitza C, Krishna V V , et al. Trade-offs between multifunctionality and profit in tropical smallholder landscapes[J]. Nature Communications, 2020,11(1):1186. doi: 10.1038/s41467-020-15013-5.
[3]	Mastrangelo M E, Weyland F, Villarino S H , et al. Concepts and methods for landscape multifunctionality and a unifying framework based on ecosystem services[J]. Landscape Ecology, 2014,29:345-358.
[4]	Stürck J, Verburg P H . Multifunctionality at what scale? A landscape multifunctionality assessment for the European Union under conditions of land use change[J]. Landscape Ecology, 2017,32(3):481-500.
[5]	Liu L L, Zhang H B, Gao Y , et al. Hotspot identification and interaction analyses of the provisioning of multiple ecosystem services: Case study of Shaanxi Province, China[J]. Ecological Indicators, 2019,107:105566. doi: 10.1016/j.ecolind.2019.105566.
[6]	刘焱序, 傅伯杰 . 景观多功能性: 概念辨析、近今进展与前沿议题[J]. 生态学报, 2019,39(8):2645-2654.
	[ Liu Yanxu, Fu Bojie . Landscape multifunctionality: Concept clarification, recent progress, and frontier issues. Acta Ecologica Sinica, 2019,39(8):2645-2654. ]
[7]	Hölting L, Beckmann M, Volk M , et al. Multifunctionality assessments: More than assessing multiple ecosystem functions and services? A quantitative literature review[J]. Ecological Indicators, 2019,103:226-235.
[8]	刘紫玟, 尹丹, 黄庆旭 , 等. 生态系统服务在土地利用规划研究和应用中的进展: 基于文献计量和文本分析法[J]. 地理科学进展, 2019,38(2):236-247.
	[ Liu Ziwen, Yin Dan, Huang Qingxu , et al. Research and application progress of ecosystem services in land use planning: A bibliometric and textual analysis. Progress in Geography, 2019,38(2):236-247. ]
[9]	García-Llorente M, Martín-López B, Iniesta-Arandia I , et al. The role of multi-functionality in social preferences toward semi-arid rural landscapes: An ecosystem service approach[J]. Environmental Science & Policy, 2012,19/20:136-146.
[10]	Charoenkit S, Piyathamrongchai K . A review of urban green spaces multifunctionality assessment: A way forward for a standardized assessment and comparability[J]. Ecological Indicators, 2019,107:105592. doi: 10.1016/j.ecolind.2019.105592.
[11]	Lovell S T . Multifunctional urban agriculture for sustainable land use planning in the United States[J]. Sustainability, 2010,2(8):2499-2522.
[12]	Zhou T, Vermaat J E, Ke X L . Variability of agroecosystems and landscape service provision on the urban-rural fringe of Wuhan, Central China[J]. Urban Ecosystems, 2019,22:1207-1214.
[13]	Navalho I, Alegria C, Roque N , et al. Mapping forest landscape multifunctionality using multicriteria spatial analysis[J]. Floresta e Ambiente, 2019,26(2):e20170702. doi: 10.1590/2179-8087.070217.
[14]	Jaligot R, Chenal J, Bosch M , et al. Historical dynamics of ecosystem services and land management policies in Switzerland[J]. Ecological Indicators, 2019,101:81-90.
[15]	彭建, 吕慧玲, 刘焱序 , 等. 国内外多功能景观研究进展与展望[J]. 地球科学进展, 2015,30(4):465-476.
	[ Peng Jian, Lv Huiling, Liu Yanxu , et al. International research progress and perspectives on multifunctional landscape. Advances in Earth Science, 2015,30(4):465-476. ]
[16]	Elmhagen B, Eriksson O, Lindborg R . Implications of climate and land-use change for landscape processes, biodiversity, ecosystem services, and governance[J]. AMBIO, 2015,44:1-5. pmid: 24973055
[17]	Rodríguez-Loinaz G, Alday J G, Onaindia M . Multiple ecosystem services landscape index: A tool for multifunctional landscapes conservation[J]. Journal of Environmental Management, 2015,147:152-163. pmid: 25265555
[18]	Carpenter S R, Mooney H A, Agard J , et al. Science for managing ecosystem services: Beyond the millennium ecosystem assessment[J]. PNAS, 2009,106(5):1305-1312. doi: 10.1073/pnas.0808772106 pmid: 19179280
[19]	傅伯杰, 张立伟 . 土地利用变化与生态系统服务: 概念、方法与进展[J]. 地理科学进展, 2014,33(4):441-446.
	[ Fu Bojie, Zhang Liwei . Land-use change and ecosystem services: Concepts, methods and progress. Progress in Geography, 2014,33(4):441-446. ]
[20]	Dawson N, Martin A . Assessing the contribution of ecosystem services to human wellbeing: A disaggregated study in western Rwanda[J]. Ecological Economics, 2015,117:62-72.
[21]	Potschin M, Haines-Young R . Landscapes, sustainability and the place-based analysis of ecosystem services[J]. Landscape Ecology, 2013,28:1053-1065.
[22]	Duncan J M A, Haworth B, Boruff B , et al. Managing multifunctional landscapes: Local insights from a Pacific island country context[J]. Journal of Environmental Management, 2020,260:109692. doi: 10.1016/j.jenvman.2019.109692. doi: 10.1016/j.jenvman.2019.109692 pmid: 32090791
[23]	Yu M, Yang Y J, Chen F , et al. Response of agricultural multifunctionality to farmland loss under rapidly urbanizing processes in Yangtze River Delta, China[J]. Science of the Total Environment, 2019,666:1-11.
[24]	蔡建明, 杨振山 . 国际都市农业发展的经验及其借鉴[J]. 地理研究, 2008,27(2):362-374.
	[ Cai Jianming, Yang Zhenshan . Developing China's urban agriculture by learning from international experiences. Geographical Research, 2008,27(2):362-374. ]
[25]	孙一鸣, 刘红玉, 李玉凤 , 等. 基于水文地貌法模型的城市湿地水环境功能评估: 以南京仙林典型湿地为例[J]. 生态学报, 2016,36(10):3032-3041.
	[ Sun Yiming, Liu Hongyu, Li Yufeng , et al. Assessment of water environment functions in urban wetlands by using the hydrogeomorphic model: A case study of Nanjing Xianlin. Acta Ecologica Sinica, 2016,36(10):3032-3041. ]
[26]	韩博, 金晓斌, 项晓敏 , 等. 基于“要素—景观—系统”框架的江苏省长江沿线生态修复格局分析与对策[J]. 自然资源学报, 2020,35(1):141-161.
	[ Han Bo, Jin Xiaobin, Xiang Xiaomin , et al. Exploration of ecological restoration pattern and countermeasure along the Yangtze River in Jiangsu Province based on the "element-landscape-system" framework. Journal of Natural Resources, 2020,35(1):141-161. ]
[27]	Long H L, Liu Y S, Wu X Q , et al. Spatio-temporal dynamic patterns of farmland and rural settlements in Su-Xi-Chang region: Implications for building a new countryside in coastal China[J]. Land Use Policy, 2009,26(2):322-333.
[28]	Long H L, Tang G P, Li X B , et al. Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China[J]. Journal of Environmental Management, 2007,83(3):351-364.
[29]	李广东, 方创琳 . 城市生态—生产—生活空间功能定量识别与分析[J]. 地理学报, 2016,71(1):49-65.
	[ Li Guangdong, Fang Chuanglin . Quantitative function identification and analysis of urban ecological-production-living spaces. Acta Geographica Sinica, 2016,71(1):49-65. ]
[30]	Tian Y Z, Yue T X, Zhu L F , et al. Modeling population density using land cover data[J]. Ecological Modelling, 2005,189:72-88.
[31]	Zeng C Q, Zhou Y, Wang S X , et al. Population spatialization in China based on night-time imagery and land use data[J]. International Journal of Remote Sensing, 2011,32(24):9599-9620.
[32]	de Groot R . Function- analysis and valuation as a tool to assess land use conflicts in planning for sustainable, multifunctional landscapes[J]. Landscape and Urban Planning, 2006,75(3/4):175-186.
[33]	Groten S M E . NDVI-crop monitoring and early yield assessment of Burkina Faso[J]. International Journal of Remote Sensing, 1993,14(8):1495-1515.
[34]	Peng J, Hu X X, Qiu S J , et al. Multifunctional landscapes identification and associated development zoning in mountainous area[J]. Science of the Total Environment, 2019,660:765-775.
[35]	Cabral P, Feger C, Levrel H , et al. Assessing the impact of land-cover changes on ecosystem services: A first step toward integrative planning in Bordeaux, France[J]. Ecosystem Services, 2016,22:318-327.
[36]	Peng J, Chen X, Liu Y X , et al. Spatial identification of multifunctional landscapes and associated influencing factors in the Beijing-Tianjin-Hebei region, China[J]. Applied Geography, 2016,74:170-181.
[37]	Sharp R, Tallis H T, Ricketts T , et al. InVEST 3.2.0 user's guide[M]. Stanford University, University of Minnesota, the Nature Conservancy, and World Wildlife Fund, 2015.
[38]	Renard K G, Foster G R, Weesies G A , et al. RUSLE, revised universal soil loss equation[J]. Journal of Soil and Water Conservation, 1991,46(1):30-33.
[39]	Fan Y T, Jin X B, Gan L , et al. Spatial identification and dynamic analysis of land use functions reveals distinct zones of multiple functions in Eastern China[J]. Science of the Total Environment, 2018,642:33-44.
[40]	Gao Y, Feng Z, Wang Y , et al. Clustering urban multifunctional landscapes using the self-organizing feature map neural network model[J]. Journal of Urban Planning and Development, 2014,140(2):05014001. doi: 10.1061/(ASCE)UP.1943-5444.0000170.
[41]	郄瑞卿, 关侠, 鄢旭久 , 等. 基于自组织神经网络的耕地自然质量评价方法及其应用[J]. 农业工程学报, 2014,30(23):298-305.
	[ Qie Ruiqing, Guan Xia, Yan Xujiu , et al. Method and its application of natural quality evaluation of arable land based on self-organizing feature map neural network. Transactions of the CSAE, 2014,30(23):298-305. ]
[42]	毛祺, 彭建, 刘焱序 , 等. 耦合SOFM与SVM的生态功能分区方法: 以鄂尔多斯市为例[J]. 地理学报, 2019,74(3):460-474.
	[ Mao Qi, Peng Jian, Liu Yanxu , et al. An ecological function zoning approach coupling SOFM and SVM: A case study in Ordos. Acta Geographica Sinica, 2019,74(3):460-474. ]
[43]	梁鑫源, 李阳兵, 邵景安 , 等. 三峡库区山区传统农业生态系统转型[J]. 地理学报, 2019,74(8):1605-1621.
	[ Liang Xinyuan, Li Yangbing, Shao Jian'an, et al. Traditional agroecosystem transition in mountainous area of Three Gorges Reservoir area. Acta Geographica Sinica, 2019,74(8):1605-1621. ]
[44]	Liang X Y, Jin X B, Ren J , et al. A research framework of land use transition in Suzhou City coupled with land use structure and landscape multifunctionality[J]. Science of the Total Environment, 2020,737:139932. doi: 10.1016/j.scitotenv.2020.139932.
[45]	彭建, 刘志聪, 刘焱序 , 等. 京津冀地区县域耕地景观多功能性评价[J]. 生态学报, 2016,36(8):2274-2285.
	[ Peng Jian, Liu Zhicong, Liu Yanxu , et al. Assessment of farmland landscape multifunctionality at county level in Beijing-Tianjin-Hebei area. Acta Ecologica Sinica, 2016,36(8):2274-2285. ]
[46]	Plieninger T, Bieling C, Ohnesorge B , et al. Exploring futures of ecosystem services in cultural landscapes through participatory scenario development in the Swabian Alb, Germany[J]. Ecology and Society, 2013,18(3):39. doi: 10.5751/ES-05802-180339.
[47]	Mann C, Garcia-Martin M, Raymond C M , et al. The potential for integrated landscape management to fulfil Europe's commitments to the sustainable development goals[J]. Landscape and Urban Planning, 2018,177:75-82.
[48]	傅伯杰, 刘焱序 . 系统认知土地资源的理论与方法[J]. 科学通报, 2019,64(21):2172-2179.
	[ Fu Bojie, Liu Yanxu . The theories and methods for systematically understanding land resource. Chinese Science Bulletin, 2019,64(21):2172-2179. ]
[49]	Su C H, Fu B J . Evolution of ecosystem services in the Chinese Loess Plateau under climatic and land use changes[J]. Global and Planetary Change, 2013,101:119-128.
[50]	Willemen L, Hein L, van Mensvoort M E F, et al. Space for people, plants, and livestock? Quantifying interactions among multiple landscape functions in a Dutch rural region[J]. Ecological Indicators, 2010,10(1):62-73.
[51]	彭建, 胡晓旭, 赵明月 , 等. 生态系统服务权衡研究进展: 从认知到决策[J]. 地理学报, 2017,72(6):960-973.
	[ Peng Jian, Hu Xiaoxu, Zhao Mingyue , et al. Research progress on ecosystem service trade-offs: From cognition to decision-making. Acta Geographica Sinica, 2017,72(6):960-973. ]

长三角快速城市化地区景观多功能性演变——以苏州市为例

Landscape multifunctionality change in rapidly urbanized areas of the Yangtze River Delta:A case study of Suzhou City

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 51

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	杨清可, 段学军, 王磊, 王雅竹. 长三角地区城市土地利用与生态环境效应的交互作用机制研究[J]. 地理科学进展, 2021, 40(2): 220-231.
[2]	范擎宇, 杨山. 长三角地区城镇化协调发展的空间特征及形成机理[J]. 地理科学进展, 2021, 40(1): 124-134.
[3]	张海娜, 朱贻文, 邓晓翔. 快速城镇化背景下居住空间分异与失地农民社会融合的作用机制研究——以长三角地区为例[J]. 地理科学进展, 2021, 40(1): 135-146.
[4]	孙彪, 杨山. 长三角地区城市创新投入要素的经济溢出效应及趋同格局[J]. 地理科学进展, 2021, 40(1): 147-160.
[5]	敖雪, 翟晴飞, 崔妍, 周晓宇, 沈历都, 赵春雨, 宁喜龙. 基于EOF分解的辽宁省城市化气候效应检测[J]. 地理科学进展, 2020, 39(9): 1532-1543.
[6]	王依茹, 王琛, 曾金迪. 个体与环境交互作用下中国成人超重肥胖情况变化趋势及影响因素研究[J]. 地理科学进展, 2020, 39(1): 100-110.
[7]	王立, 张健君. 个体-家庭地方认同迭代的生命历程空间叙事[J]. 地理科学进展, 2019, 38(6): 896-903.
[8]	温康民, 任国玉, 李娇, 任玉玉, 孙秀宝, 周雅清, 张爱英. 国家基本/基准站地面气温资料城市化偏差订正[J]. 地理科学进展, 2019, 38(4): 600-611.
[9]	丁凯熙, 张利平, 宋晓猛, 佘敦先, 夏军. 北京地区汛期降雨时空演变特征及城市化影响研究[J]. 地理科学进展, 2019, 38(12): 1917-1932.
[10]	谢家艳, 曾刚. 长三角地区复杂知识的空间特征及地方知识库类型[J]. 地理科学进展, 2019, 38(12): 1968-1976.
[11]	陈晓红, 周宏浩. 城市化与生态环境关系研究热点与前沿的图谱分析[J]. 地理科学进展, 2018, 37(9): 1171-1185.
[12]	韩立建. 城市化与PM_2.5时空格局演变及其影响因素的研究进展[J]. 地理科学进展, 2018, 37(8): 1011-1021.
[13]	李久枫, 余华飞, 付迎春, 赵耀龙. 广东省“人口—经济—土地—社会—生态”城市化协调度时空变化及其聚类模式[J]. 地理科学进展, 2018, 37(2): 287-298.
[14]	田富强, 程涛, 芦由, 徐宗学. 社会水文学和城市水文学研究进展[J]. 地理科学进展, 2018, 37(1): 46-56.
[15]	周灿, 曾刚, 宓泽锋, 鲜果. 区域创新网络模式研究——以长三角城市群为例[J]. 地理科学进展, 2017, 36(7): 795-805.