西藏城乡居民点空间分异特征与影响因素

doi:10.13287/j.1001-9332.201910.015

应用生态学报 ›› 2019, Vol. 30 ›› Issue (10): 3544-3552.doi: 10.13287/j.1001-9332.201910.015

西藏城乡居民点空间分异特征与影响因素

乔富伟¹, 白永平^1*, 周亮^2,3, 车磊¹, 汪凡⁴

¹西北师范大学地理与环境科学学院, 兰州 730070;
²兰州交通大学测绘与地理信息学院, 兰州 730070;
³中国科学院地理科学与资源研究所/资源与环境信息系统国家重点实验室, 北京 100101;
⁴华东师范大学城市与区域科学学院, 上海 200000

收稿日期:2018-11-23 出版日期:2019-10-20 发布日期:2019-10-20
通讯作者: *E-mail: baiyp@nwnu.edu.cn
作者简介:乔富伟, 男, 1989年生, 博士研究生. 主要从事区域管理与区域发展研究. E-mail: qiaofw2014@163.com
基金资助:
中国科学院战略性先导科技专项(A类)(XDA20040400)、国家自然科学基金项目(41701173,40771054)、教育部人文社会科学研究青年基金项目(17YJCZH268)、甘肃省重点研发项目(18YF1TA052)、甘肃省“一带一路”研究一般项目(LDBR2018-017)和甘肃省政府决策咨询委员会2019年度重点课题资助

Spatial differentiation characteristics and influencing factors of urban and rural settlements in Tibet, China

QIAO Fu-wei¹, BAI Yong-ping^1*, ZHOU Liang^2,3, CHE Lei¹, WANG Fan⁴

¹College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China;
²Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
³State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Science and Natural Resource Research, Chinese Academy of Sciences, Beijing 100101, China;
⁴School of Urban & Regional Science, East China Normal University, Shanghai 200000, China

Received:2018-11-23 Online:2019-10-20 Published:2019-10-20
Contact: *E-mail: baiyp@nwnu.edu.cn
Supported by:
This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (A) (XDA20040400), the National Natural Science Foundation of China (41701173, 40771054), the Ministry of Education Humanities and Social Sciences Research Youth Foundation (17YJCZH268), the Key Research and Development Project of Gansu Province (18YF1TA052), the General Project of the “Belt and Road” Research in Gansu Province (LDBR2018-017) and the Key Project of the Gansu Provincial Government Decision Advisory Committee in 2019.

摘要/Abstract

摘要： 西藏地处青藏高原腹地,区内适宜人类生活的空间十分有限,居民点空间分布受多因素制约.为揭示西藏居民点的空间分布特征和主要影响因素,采用高分影像,基于目视与机器解译结合提取西藏城乡居民点斑块数据,运用核密度、空间热点探测、GeoDetector等方法探索其空间分异特征与影响因素,以期为今后高原地区宜居地选址、制定区域经济发展等相关政策提供参考.结果表明: 西藏城乡居民点呈聚集分布模式,整体密度分布差异较大;呈以拉萨市为高密度核心,昌都市、林芝市、阿里地区为低密度边缘的“核心-边缘”结构;高密度核心区拉萨市斑块密度多达220 ind·km^-2,而低密度边缘区密度最大仅为5.7 ind·km^-2,两个区域相差43倍.西藏城乡居民点规模高低值聚簇现象显著,大斑块高值数量稀少,小斑块低值数量绝对优势突出;大斑块高值占比仅为3.7%,集中分布于拉萨市和山南市,低值聚簇区占比达到67.2%,主要分布于羌塘高原的阿里地区和那曲市.西藏城乡居民点被划分成6种类型,形成了以“一江两河”地区和“三江流域”为中心的两个圈层结构,由内到外依次为大斑块主导型、中密度团簇型、高密度散点型、低密度散点型和高寒地无人型;拉萨市以中密度团簇型为主,占比为31%,山南市以低密度散点型为主,占比为38%,昌都市以低密度散点型为主,占比高达51%,阿里地区、那曲市和日喀则市均以高寒地无人型为主,其中,在阿里地区占比高达64%.不同影响因子对西藏城乡居民点空间分布的影响程度差异性显著;人口和GDP对城乡居民点的分布均具有很强的决定性;此外,城镇居民点表现出强烈的道路指向性,农村居民点更多地表现为河流指向性.

Abstract: Located in the hinterland of the Qinghai-Tibet Plateau, Tibet has very limited space sui-table for human living. The spatial distribution of settlements in Tibet is restricted by multiple factors. To reveal the spatial distribution characteristics and explore the main influencing factors of settlements in Tibet, we extracted patch data from the high-resolution images of urban and rural settlements in Tibet based on visual interpretation. Methods such as the kernel density analysis, space hotspot detection, Geodetector and others were applied to analyze the spatial differentiation characteristics and influencing factors, with the aim to provide reference for future settlements selection and formulation of relevant policies on regional economic development in the plateau region. The results showed that urban and rural settlements in Tibet had a clustering pattern, with different overall density distribution. Lhasa was a high-density core, and Ngari Prefecture, Qamdo, and Nyingchi were the “core-edge” structures with low-density edges. The settlement density of Lhasa was as high as 220 ind·km^-2, while that of Ngari Prefecture, Qamdo and Nyingchi was only 5.7 ind·km^-2. The gap between the two regions was more than 43 times. The clustering of high and low value clusters in urban and rural settlements was remarkable. The number of high-value of large plaques was rare, and the number of low-values of small plaques was dominant. The area of high-value cluster accounted for only 3.7%, concentrated in Lhasa and Lhoka. The proportion of low value cluster area reached 67.2%, mainly distributed in Ngari Prefecture and Nagqu on the Qiangtang Plateau. There were six types of urban and rural settlements in Tibet, which formed two circle structures in the “One River and Two Streams” basin and the “Three Rivers” basin. From the inside to the outside, the large plaque-dominated type, medium-density and cluster-like type, high-density and point-scattered type, low-density and point-scattered type and high-altitude and uninhabited type was successively distributed. Lhasa was dominated by medium-density and cluster-like type, accounting for 31%. Lhoka was dominated by low-density and point-scattered type, accounting for 38%. Qamdo was mainly low-density and point-scattered type, accounting for 51%. The Ngari Prefecture, Nagqu and Shigatse were dominated by high-altitude and uninhabited type, and the proportion of the Ngari Prefecture was as high as 64%. The effects of different factors on the spatial distribution of urban and rural settlements in Tibet were distinctly different. The population and GDP were highly decisive for the distribution of urban and rural settlements. In addition, urban settlements showed strong road orientation, while rural settlements were more characterized by river orientation.

乔富伟, 白永平, 周亮, 车磊, 汪凡. 西藏城乡居民点空间分异特征与影响因素[J]. 应用生态学报, 2019, 30(10): 3544-3552.

QIAO Fu-wei, BAI Yong-ping, ZHOU Liang, CHE Lei, WANG Fan. Spatial differentiation characteristics and influencing factors of urban and rural settlements in Tibet, China[J]. Chinese Journal of Applied Ecology, 2019, 30(10): 3544-3552.

参考文献

[1] Robbins G. Population Dynamics, Growth and Development in Chalcolithic Sites of the Deccan Plateau, India. PhD Thesis. Eugene, OR, USA: University of Oregon, 2007
[2] Rademaker K, Hodgins G, Moore K, et al. Paleoindian settlement of the high-altitude Peruvian Andes. Science, 2014, 346: 466-469
[3] Aldenderfer M. Modelling plateau peoples: The early human use of the world’s high plateau. World Archaeology, 2006, 38: 357-370
[4] Talbot RK, Wilde JD. Giving form to the formative: Shifting settlement patterns in the eastern Great Basin and northern Colorado Plateau. Utah Archaeology, 1989, 2: 3-18
[5] Ames KM, Marshall AG. Villages, demography and subsistence intensification on the southern Columbia Plateau. North American Archaeologist, 1981, 2: 25-52
[6] Fan P, Chen J, John R. Urbanization and environmental change during the economic transition on the Mongolian Plateau: Hohhot and Ulaanbaatar. Environmental Research, 2016, 144: 96-112
[7] Park H, Fan P, John R, et al. Urbanization on the Mongolian Plateau after economic reform: Changes and causes. Applied Geography, 2017, 86: 118-127
[8] Li S, Wu J, 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
[9] Meyer MC, Aldenderfer MS, Wang Z, et al. Permanent human occupation of the central Tibetan Plateau in the early Holocene. Science, 2017, 355: 64-67
[10] Yang Y (杨阳), Hou G-L (侯光良), Sun L (孙璐), et al. The spatial distribution patterns of prehistoric settlement of river valley in the northeast of the Qinghai-Tibetan Plateau. Journal of Arid Land Resources & Environment (干旱区资源与环境), 2016, 30(5): 58-64 (in Chinese)
[11] Hou G-L (侯光良), Cao G-C (曹广超), E C-Y (鄂崇毅), et al. New evidence of human activities at an altitude of 4000 meters area of Qinghai-Tibet Plateau. Acta Geographica Sinica (地理学报), 2016, 71(7): 1231-1240 (in Chinese)
[12] Liao S-B (廖顺宝), Sun J-L (孙九林). GIS based spatialization of population census data in Qinghai-Tibet Plateau. Acta Geographica Sinica (地理学报), 2003, 58(1): 25-33 (in Chinese)
[13] Ma R (马戎). Regional migration in Tibet Autonomous Region. Population Research (人口研究), 1993, 17(5): 32-44 (in Chinese)
[14] Tang W (唐伟), Zhong X-H (钟祥浩), Zhou W (周伟). Study on the evolution of spatial distribution structure of population in “Three Rivers” Area in Tibet. China Population Resources and Environment (中国人口·资源与环境), 2011, 21(3): 159-164 (in Chinese)
[15] Wu C-C (吴超超), Gao X-Y (高小叶), Hou F-J (侯扶江). Carbon balance of household production system in the transition zone from the Loess Plateau to the Qinghai-Tibet Plateau, China. Chinese Journal of Applied Ecology (应用生态学报), 2017, 28(10): 3341-3350 (in Chinese)
[16] Zhao T-T (赵彤彤), Song B-G (宋邦国), Chen Y-S (陈远生), et al. Analysis of population distribution and its spatial relationship with terrain elements in the Yarlung Zangbo River, Nyangqu River and Lhasa River Region, Tibet. Journal of Geo-information Science (地球信息科学学报), 2017, 19(2): 225-237 (in Chinese)
[17] Fan J (樊杰), Wang H (王海). Spatial analysis of population development and discussion of sustainable urbanization in Tibet. Scientia Geographica Sinica (地理科学), 2005, 25(4): 3-10 (in Chinese)
[18] Liao S-B (廖顺宝), Sun J-L (孙九林). Quantitative analysis of relationship between population distribution and environmental factors in Qinghai-Tibet Plateau. China Population, Resources and Environment (中国人口·资源与环境), 2003, 13(3): 62-67 (in Chinese)
[19] Cheng S-K (成升魁), Shen L (沈镭). Approach to dynamic relationship between population, resources, environment and development of the Qinghai-Tibet Pla-teau. Journal of Natural Resources (自然资源学报), 2000, 15(4): 297-304 (in Chinese)
[20] Xu J (徐进), Xia W-P (夏武平). The relationship between human populations and their ecological environments in agricultural region of yellow river and Huang Shui river basin, east Qinghai. Acta Ecologica Sinica (生态学报), 1985, 5(2): 3-17 (in Chinese)
[21] Du M, Kawashima S, Yonemura S, et al. Mutual influence between human activities and climate change in the Tibetan Plateau during recent years. Global and Planetary Change, 2004, 41: 241-249
[22] Guo Z-G (郭正刚), Wu Q-B (吴青柏), Niu F-J (牛富军). Effects of human engineering activities on permafrost active layer and its environment in northern Qinghai-Tibetan Plateau. Chinese Journal of Applied Ecology (应用生态学报), 2006, 17(11): 21-36 (in Chinese)
[23] Zhao W (赵卫), Shen W-S (沈渭寿), Zou C-X (邹长新), et al. Affect on the distribution of residential points in the source region of the Yarlung Tsangpo River. Mountain Research (山地学报), 2012, 30(6): 728-736 (in Chinese)
[24] Li G, Jiang G, Jiang C, et al. Differentiation of spatial morphology of rural settlements from an ethnic cultural perspective on the Northeast Tibetan Plateau, China. Habitat International, 2018, 79: 1-9
[25] Zhao Z-R (赵忠瑞), Xie C-Q (解传奇), Wu T (吴彤), et al. Effects of human engineering activities on permafrost active layer and its environment in northern Qinghai-Tibetan plateau. Chinese Journal of Applied Ecology (应用生态学报), 2015, 26(4): 1049-1054 (in Chinese)
[26] Liu S-Q (刘邵权), Chen G-J (陈国阶). Eco-environment of settlement and ecologic construction program in Changdu Hengduan Mountains Area, Tibet. Mountain Research (山地学报), 2001, 19(2):141-144 (in Chinese)
[27] Ma W-C (马文参), Xu Z-R (徐增让). Settlements change and its influencing factors in pastoral area based on high-resolution remote sensing image: A case study of Dangqu Watershed in Tibet. Economic Geography (经济地理), 2017, 37(6): 215-223 (in Chinese)
[28] Zhao Y-J (赵衍君), Liu F-G (刘峰贵), Chen Q (陈琼), et al. The temporal and spatial changes of settlement pattern in Hehuang Valley from 1373 to 1596. Journal of Arid Land Resources & Environment (干旱区资源与环境), 2016, 30(8): 68-74 (in Chinese)
[29] Ma X-D (马晓冬), Li Q-L (李全林), Shen Y (沈一). Morphological difference and regional types of rural settlements in Jiangsu Province. Acta Geographica Sinica (地理学报), 2012, 67(4): 516-525 (in Chinese)
[30] Zhou L (周亮), Zhou C-H (周成虎), Yang F (杨帆), et al. Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2011. Acta Geographica Sinica (地理学报), 2017, 72(11): 2079-2092 (in Chinese)

西藏城乡居民点空间分异特征与影响因素

Spatial differentiation characteristics and influencing factors of urban and rural settlements in Tibet, China

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