Advertisement

Chinese Geographical Science

, Volume 30, Issue 1, pp 16–29 | Cite as

Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

  • Xin Huang
  • Xiaojun HuangEmail author
  • Mengmeng Liu
  • Bo Wang
  • Yonghua Zhao
Article
  • 17 Downloads

Abstract

The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation. In this paper, spatial statistical analysis, Ordinary Least Squares (OLS), and Geographically weighted regression (GWR) methods are used to systematically analyse the spatial-temporal characteristics and driving forces of land development intensity for 131 spatial units in the western China from 2000 to 2015. The findings of the study are as follows: 1) The land development intensity in the western China has been increasing rapidly. From 2000 to 2015, land development intensity increased by 3.4 times on average. 2) The hotspot areas have shifted from central Inner Mongolia, northern Shaanxi and the Beibu Gulf of Guangxi to the Guanzhong Plain and the Chengdu-Chongqing urban agglomeration. The areas of cold spots were mainly concentrated in the Qinghai-Tibet Plateau, Yunnan, and Xinjiang. 3) Investment intensity and the natural environment have always been the main drivers of land development intensity in the western China. Investment played a powerful role in promoting land development intensity, while the natural and ecological environment distinctly constrained such development. The effect of the economic factors on land development intensity in the western China has changed, which is reflected in the driving factor of construction land development shifting from economic growth in 2000 to economic structure, especially industrial structure, in 2015.

Keywords

construction land land development intensity spatial-temporal dynamic driving force the western China 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arowolo A O, Deng X Z, Olatunji O A et al., 2018. Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria. Science of the Total Environment, 636: 597–609. doi:  https://doi.org/10.1016/j.scitotenv.2018.04.277 CrossRefGoogle Scholar
  2. Cegielska K, Noszczyk T, Kukulska A et al., 2018. Land use and land cover changes in post-socialist countries: Some observations from Hungary and Poland. Land Use Policy, 78: 1–8. doi:  https://doi.org/10.1016/j.landusepol.2018.06.017 CrossRefGoogle Scholar
  3. Chen J L, Gao J L, Chen W, 2016. Urban land expansion and the transitional mechanisms in Nanjing, China. Habitat International, 53: 274–283. doi:  https://doi.org/10.1016/j.habitatint.2015.11.040 CrossRefGoogle Scholar
  4. Dadashpoor H, Azizi P, Moghadasi M, 2019. Land use change, urbanization, and change in landscape pattern in a metropolitan area. Science of the Total Environment, 655: 707–719. doi:  https://doi.org/10.1016/j.scitotenv.2018.11.267 CrossRefGoogle Scholar
  5. Dang L J, Xu Y, Tang Q, 2015. The pattern of available construction land along the Xijiang river in Guangxi, China. Land Use Policy, 42: 102–112. doi:  https://doi.org/10.1016/j.landusepol.2014.07.010 CrossRefGoogle Scholar
  6. Di Xianghong, Hou Xiyong, Wang Yuandong et al., 2015. Spatial-temporal characteristics of land use intensity of coastal zone in China during 2000–2010. Chinese Geographical Science, 25(1): 51–61. doi:  https://doi.org/10.1007/s11769-014-0707-0 CrossRefGoogle Scholar
  7. Dietrich J P, Schmitz C, Müller C et al., 2012. Measuring agricultural land-use intensity-a global analysis using a model-assisted approach. Ecological Modelling, 232: 109–118. doi:  https://doi.org/10.1016/j.ecolmodel.2012.03.002 CrossRefGoogle Scholar
  8. Erb K, Niedertscheider M, Dietrich J P et al., 2014. Conceptual and empirical approaches to mapping and quantifying land-use intensity. In: Fischer-Kowalski M, Reenberg A, Schaffartzik A et al (eds). Ester Boserup’s Legacy on Sustainability. Dordrecht: Springer, 61–86. doi:  https://doi.org/10.1007/978-94-017-8678-2_5 CrossRefGoogle Scholar
  9. Erb K H, Haberl H, Jepsen M R et al., 2013. A conceptual framework for analysing and measuring land-use intensity. Current Opinion in Environmental Sustainability, 5(5): 464–470. doi:  https://doi.org/10.1016/j.cosust.2013.07.010 CrossRefGoogle Scholar
  10. Fan Jie, Tao Anjun, Ren Qing, 2010. On the historical background, scientific intentions, goal orientation, and policy framework of major function-oriented zone planning in China. Journal of Resources and Ecology, 1(4): 289–299. doi:  https://doi.org/10.3969/j.issn.1674-764x.2010.04.001 Google Scholar
  11. Ferdous N, Bhat C R, 2013. A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns. Journal of Geographical Systems, 15(1): 1–29. doi:  https://doi.org/10.1007/s10109-012-0165-0 CrossRefGoogle Scholar
  12. Foley J A, DeFries R, Asner G P et al., 2005. Global consequences of land use. Science, 309(5734): 570–574. doi:  https://doi.org/10.1126/science.1111772 CrossRefGoogle Scholar
  13. Galicia L, García-Romero A, 2007. Land use and land cover change in highland temperate forests in the Izta-Popo National Park, Central Mexico. Mountain Research and Development, 27(1): 48–57. doi:  https://doi.org/10.1659/0276-4741(2007)27[48:LUALCC]2.0.CO;2 CrossRefGoogle Scholar
  14. Gao J B, Li S C, 2011. Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using geographically weighted regression. Applied Geography, 31(1): 292–302. doi:  https://doi.org/10.1016/j.apgeog.2010.06.003 CrossRefGoogle Scholar
  15. Gao Jinlong, Bao Jingwei, Liu Yansui et al., 2018. Regional disparity and the influencing factors of land urbanization in China at the county level, 2000–2015. Acta Geographica Sinica, 73(12): 2329–2344. (in Chinese)Google Scholar
  16. Gong J Z, Chen W L, Liu Y S et al., 2014. The intensity change of urban development land: implications for the city master plan of Guangzhou, China. Land Use Policy, 40: 91–100. doi:  https://doi.org/10.1016/j.landusepol.2013.05.001 CrossRefGoogle Scholar
  17. He Shujin, Wang Xiuhong, Deng Xiangzheng et al., 2006. Analysis on influencing factors of land use change in three typical areas of western China. Geographical Research, 25(1): 79–86. (in Chinese)Google Scholar
  18. Houghton R A, Nassikas A A, 2017. Global and regional fluxes of carbon from land use and land cover change 1850–2015. Global Biogeochemical Cycles, 31(3): 456–472. doi:  https://doi.org/10.1002/2016GB005546 CrossRefGoogle Scholar
  19. Howison R A, Piersma T, Kentie R et al., 2018. Quantifying landscape-level land-use intensity patterns through radar-based remote sensing. Journal of Applied Ecology, 55(3): 1276–1287. doi:  https://doi.org/10.1111/1365-2664.13077 CrossRefGoogle Scholar
  20. Huang Baorong, Zhang Huizhi, Song Dunjiang et al., 2017a. Driving forces of built-up land expansion in China from 2000 to 2010. Acta Ecologica Sinica, 37(12): 4149–4158. (in Chinese)Google Scholar
  21. Huang X J, Huang X, He Y B et al., 2017b. Assessment of livelihood vulnerability of land-lost farmers in urban fringes: a case study of Xi’an, China. Habitat International, 59(1): 1–9. doi:  https://doi.org/10.1016/j.habitatint.2016.11.001 CrossRefGoogle Scholar
  22. Jiang M, Xin L J, Li X B et al., 2016. Spatiotemporal variation of China’s state-owned construction land supply from 2003 to 2014. Sustainability, 8(11): 1137. doi:  https://doi.org/10.3390/su8111137 CrossRefGoogle Scholar
  23. Kroll F, Haase D, 2010. Does demographic change affect land use patterns?: a case study from Germany. Land Use Policy, 27(3): 726–737. doi:  https://doi.org/10.1016/j.landusepol.2009.10.001 CrossRefGoogle Scholar
  24. Li Jintao, Liu Yansui, Yang Yuanyuan et al., 2018. Spatial-temporal characteristics and driving factors of urban construction land in Beijing-Tianjin-Hebei region during 1985–2015. Geographical Research, 37(1): 37–52. (in Chinese)Google Scholar
  25. Liang X, Liu X P, Li X et al., 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning, 177: 47–63. doi:  https://doi.org/10.1016/j.landurbplan.2018.04.016 CrossRefGoogle Scholar
  26. Liiri M, Häsä M, Haimi J et al., 2012. History of land-use intensity can modify the relationship between functional complexity of the soil fauna and soil ecosystem services-a microcosm study. Applied Soil Ecology, 55: 53–61. doi:  https://doi.org/10.1016/j.apsoil.2011.12.009 CrossRefGoogle Scholar
  27. Liu T, Liu H, Qi Y J, 2015a. Construction land expansion and cultivated land protection in urbanizing china: insights from national land surveys, 1996–2006. Habitat International, 46: 13–22. doi:  https://doi.org/10.1016/j.habitatint.2014.10.019 CrossRefGoogle Scholar
  28. Liu Xuehua, Zhang Xueliang, Peng Mingming, 2009. Traffic infrastructure investment and regional economic growth—an empirical analysis on the case of west China development. Areal Research and Development, 28(4): 57–61. (in Chinese)Google Scholar
  29. Liu Yanjun, Yu Huisheng, Liu Degang et al., 2018. Spatial differentiation mechanisms of the pattern evolution of construction land development intensity in Northeast China. Acta Geographica Sinica, 73(5): 818–831. (in Chinese)Google Scholar
  30. Liu Y L, Luo T, Liu Z Q et al., 2015b. A comparative analysis of urban and rural construction land use change and driving forces: implications for urban-rural coordination development in Wuhan, Central China. Habitat International, 47: 113–125. doi:  https://doi.org/10.1016/j.habitatint.2015.01.012 CrossRefGoogle Scholar
  31. Long H L, Tang G P, Li X B et al., 2007. Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta Economic Area of China. Journal of Environmental Management, 83(3): 351–364. doi:  https://doi.org/10.1016/j.jenvman.2006.04.003 CrossRefGoogle Scholar
  32. Lu Xiao, Huang Xianjin, Zhong Taiyang et al., 2012. Comparative analysis of influence factors on arable land use intensity at farm household level: a case study comparing Suyu district of Suqian city and Taixing city, Jiangsu Province, China. Chinese Geographical Science, 22(5): 556–567. doi:  https://doi.org/10.1007/s11769-012-0563-8 CrossRefGoogle Scholar
  33. Ma Jian, Ji Changlong, Zhang Yike et al., 2012. Cluster analysis of land-use change of China’s Western region. China Population, Resources and Environment, 22(5): 149–152. (in Chinese)Google Scholar
  34. Margriter S C, Bruland G L, Kudray G M et al., 2014. Using indicators of land-use development intensity to assess the condition of coastal wetlands in Hawaii. Landscape Ecology, 29(3): 517–528. doi:  https://doi.org/10.1007/s10980-013-9985-7 CrossRefGoogle Scholar
  35. Mustafa A, van Rompaey A, Cools M et al., 2018. Addressing the determinants of built-up expansion and densification processes at the regional scale. Urban Studies, 55(15): 3279–3298. doi:  https://doi.org/10.1177/0042098017749176 CrossRefGoogle Scholar
  36. National Bureau of Statistics of China, 2011; 2016. China Statistical Yearbook 2016. China Statistics Press.Google Scholar
  37. Ning Jia, Liu Jiyuan, Kuang Wenhui et al., 2018. Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015. Journal of Geographical Sciences, 28(5): 547–562. doi:  https://doi.org/10.1007/s11442-018-1490-0 CrossRefGoogle Scholar
  38. Oueslati W, Alvanides S, Garrod G, 2015. Determinants of urban sprawl in European cities. Urban Studies, 52(9): 1594–1614. doi:  https://doi.org/10.1177/0042098015577773 CrossRefGoogle Scholar
  39. Persson A S, Olsson O, Rundlöf M et al., 2010. Land use intensity and landscape complexity—analysis of landscape characteristics in an agricultural region in Southern Sweden. Agriculture, Ecosystems & Environment, 136(1–2): 169–176. doi:  https://doi.org/10.1016/j.agee.2009.12.018 CrossRefGoogle Scholar
  40. Quintas-Soriano C, Castro A J, Castro H. 2016. Impacts of land use change on ecosystem services and implications for human well-being in Spanish drylands. Land Use Policy, 54: 534–548. doi:  https://doi.org/10.1016/j.landusepol.2016.03.011 CrossRefGoogle Scholar
  41. Seto K C, Fragkias M, Güneralp B et al., 2011. A meta-analysis of global urban land expansion. PLoS One, 6(8): e23777. doi:  https://doi.org/10.1371/journal.pone.0023777 CrossRefGoogle Scholar
  42. Shen Chunzhu, Tan Qichuan, Wang Danyang et al., 2019. Research on land development intensity based on carrying capacity of resources and environment and suitability of development and construction: a case study of Jiangsu. Resources and Environment in the Yangtze Basin, 28(6): 1276–1286. (in Chinese)Google Scholar
  43. Su S L, Xiao R, Zhang Y, 2012. Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression. Applied Geography, 32(2): 360–375. doi:  https://doi.org/10.1016/j.apgeog.2011.06.005 CrossRefGoogle Scholar
  44. Tan Xuejing, Jiang Guanghui, Fu Jing et al., 2011. Analysis on land development intensity under the framework of Major Functional Land Zoning: taking Beijing as an example. China Land Science, 25(1): 70–77. (in Chinese)Google Scholar
  45. Teixeira Z, Teixeira H, Marques J C, 2014. Systematic processes of land use/land cover change to identify relevant driving forces: Implications on water quality. Science of the Total Environment, 470–471: 1320–1335. doi:  https://doi.org/10.1016/j.scitotenv.2013.10.098 CrossRefGoogle Scholar
  46. van der Sluis T, Pedroli B, Kristensen S B P et al., 2016. Changing land use intensity in Europe—recent processes in selected case studies. Land Use Policy, 57: 777–785. doi:  https://doi.org/10.1016/j.landusepol.2014.12.005 CrossRefGoogle Scholar
  47. Wang F H, 2015. Quantitative Methods and Socio-Economic Applications in GIS. 2nd ed. Boca Raton, FL: CRC Press, 176–180.Google Scholar
  48. Wang X F, Xiao F Y, Zhang Y et al., 2018. Thirty-year expansion of construction land in Xi’an: spatial pattern and potential driving factors. Geological Journal, 53(S1): 309–321. doi:  https://doi.org/10.1002/gj.2987 CrossRefGoogle Scholar
  49. Wellmann T, Haase D, Knapp S et al., 2018. Urban land use intensity assessment: the potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, 85: 190–203. doi:  https://doi.org/10.1016/j.ecolind.2017.10.029 CrossRefGoogle Scholar
  50. Xie Jinyuan, Jin Xiaobin, Lin Yinan et al., 2017. Quantitative estimation and spatial reconstruction of urban and rural construction land in Jiangsu Province, 1820–1985. Journal of Geographical Sciences, 27(10): 1185–1208. doi:  https://doi.org/10.1007/s11442-017-1430-4 CrossRefGoogle Scholar
  51. Xu Y, Tang Q, Fan J et al., 2011. Assessing construction land potential and its spatial pattern in China. Landscape and Urban Planning, 103(2): 207–216. doi:  https://doi.org/10.1016/j.landurbplan.2011.07.013 CrossRefGoogle Scholar
  52. Yan Huimin, Liu Fang, Liu Jiyuan et al., 2017. Status of land use intensity in china and its impacts on land carrying capacity. Journal of Geographical Sciences, 27(4): 387–402. doi:  https://doi.org/10.1007/s11442-017-1383-7 CrossRefGoogle Scholar
  53. Yang J, Guo A D, Li Y H et al., 2019. Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District. GIScience & Remote Sensing, 56(3): 388–405. doi:  https://doi.org/10.1080/15481603.2018.1533680 CrossRefGoogle Scholar
  54. Ye Y Y, Li S F, Zhang H O et al., 2018. Spatial-temporal dynamics of the economic efficiency of construction land in the pearl river delta megalopolis from 1998 to 2012. Sustainability, 10(1): 63. doi:  https://doi.org/10.3390/su10010063 Google Scholar
  55. Yin G Y, Lin Z L, Jiang X L et al., 2019. Spatiotemporal differentiations of arable land use intensity-a comparative study of two typical grain producing regions in northern and southern China. Journal of Cleaner Production, 208: 1159–1170. doi:  https://doi.org/10.1016/j.jclepro.2018.10.143 CrossRefGoogle Scholar
  56. Zachary D S, 2013. Land cover change using an energy transition paradigm in a statistical mechanics approach. Physica A: Statistical Mechanics and Its Applications, 392(20): 5065–5073. doi:  https://doi.org/10.1016/j.physa.2013.04.016 CrossRefGoogle Scholar
  57. Zheng Binghui, Tian Ziqiang, Wang Wenjie et al., 2004. Analysis of recent land usage and survey in Western China. Acta Ecologica Sinica, 24(5): 1078–1085. (in Chinese)Google Scholar
  58. Zia A, 2012. Land use adaptation to climate change: economic damages from land-falling hurricanes in the Atlantic and Gulf States of the USA, 1900–2005. Sustainability, 4(5): 917–932. doi:  https://doi.org/10.3390/su4050917 CrossRefGoogle Scholar

Copyright information

© Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Authors and Affiliations

  • Xin Huang
    • 1
    • 2
  • Xiaojun Huang
    • 3
    • 4
    Email author
  • Mengmeng Liu
    • 3
  • Bo Wang
    • 3
  • Yonghua Zhao
    • 1
    • 2
  1. 1.School of Earth Science and ResourcesChang’an UniversityXi’anChina
  2. 2.Shaanxi Key Laboratory of Land ConsolidationXi’anChina
  3. 3.College of Urban and Environmental ScienceNorthwest UniversityXi’anChina
  4. 4.Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying CapacityXi’anChina

Personalised recommendations