IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i3p3215-3232d34141.html
   My bibliography  Save this article

Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province

Author

Listed:
  • Xindong Du

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China)

  • Xiaobin Jin

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China)

  • Xilian Yang

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China)

  • Xuhong Yang

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China)

  • Yinkang Zhou

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China)

Abstract

Scientific interpretation of the mechanism of land use change is important for government planning and management activities. This study analyzes the land use change in Jiangsu Province using three land use maps of 2000, 2005 and 2008. The study results show that there was a significant change in land use. The change was mainly characterized by a continuous built-up land expansion primarily at the expense of cropland loss, and the trend became increasingly rapid. There was an obvious regional difference, as most of the cropland loss or built-up land expansion took place in southern Jiangsu, where the rate of built-up land expansion was faster than in central and northern Jiangsu. Meanwhile, the spatial pattern changed remarkably; in general, the number of patches (NumP) showed a declining trend, and the mean patch size (MPS) and patch size standard deviation (PSSD) displayed increase trends. Furthermore, the relative importance of selected driven factors was identified by principal component analysis (PCA) and general linear model (GLM). The results showed that not only the relative importance of a specific driving factor may vary, but the driven factors may as well. The most important driven factor changed from urban population (UP), secondary gross domestic product (SGDP) and gross domestic product (GDP) during 2000–2005 to resident population (RP), population density (POD) and UP during 2005–2008, and the deviance explained (DE) decreased from 91.60% to 81.04%. Policies also had significant impacts on land use change, which can be divided into direct and indirect impacts. Development policies usually had indirect impacts, particularly economic development policies, which promote the economic development to cause land use change, while land management policies had direct impacts. We suggest that the government should think comprehensively and cautiously when proposing a new development strategy or plan.

Suggested Citation

  • Xindong Du & Xiaobin Jin & Xilian Yang & Xuhong Yang & Yinkang Zhou, 2014. "Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province," IJERPH, MDPI, vol. 11(3), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:3:p:3215-3232:d:34141
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/3/3215/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/3/3215/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    2. Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2002. "The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity," Agricultural Economics, Blackwell, vol. 27(3), pages 355-369, November.
    3. Xiangzheng Deng & Jikun Huang & Scott Rozelle & Emi Uchida, 2010. "Economic Growth and the Expansion of Urban Land in China," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 813-843, April.
    4. Yaw A. Twumasi & Edmund C. Merem, 2005. "GIS Applications in Land Management: The Loss of High Quality Land to Development in Central Mississippi from 1987-2002," IJERPH, MDPI, vol. 2(2), pages 1-11, August.
    5. Martin Herold & Joseph Scepan & Keith C Clarke, 2002. "The Use of Remote Sensing and Landscape Metrics to Describe Structures and Changes in Urban Land Uses," Environment and Planning A, , vol. 34(8), pages 1443-1458, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiao Chen & Liwei Zhang & Shan Zhao & Hua Zong, 2023. "Assessing Land-Use Conflict Potential and Its Correlation with LULC Based on the Perspective of Multi-Functionality and Landscape Complexity: The Case of Chengdu, China," Land, MDPI, vol. 12(4), pages 1-15, March.
    2. Yudan Zhang & Yuanqing Li & Yanan Chen & Shirao Liu & Qingyuan Yang, 2022. "Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    3. Wang, Pengfei & Li, Hongbo & Huang, Zhenbin, 2023. "The inter-provincial trade inequality in China: An assessment of the impact of changes in built-up land and carbon storage," Ecological Economics, Elsevier, vol. 206(C).
    4. Samuel Kaheesi Kusiima & Anthony Egeru & Justine Namaalwa & Patrick Byakagaba & David Mfitumukiza & Paul Mukwaya & Sylvanus Mensah & Robert Asiimwe, 2022. "Interconnectedness of Ecosystem Services Potential with Land Use/Land Cover Change Dynamics in Western Uganda," Land, MDPI, vol. 11(11), pages 1-26, November.
    5. Jing Zhuge & Jie Zeng & Wanxu Chen & Chi Zhang, 2023. "Impacts of Land-Use Change on Ecosystem Services Value in the South-to-North Water Diversion Project, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    6. Xiaomin Guo & Xiaowei Chuai & Xianjin Huang, 2019. "A Land Use/Land Cover Based Green Development Study for Different Functional Regions in the Jiangsu Province, China," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    7. Ge Shi & Peng Ye & Liang Ding & Agustin Quinones & Yang Li & Nan Jiang, 2019. "Spatio-Temporal Patterns of Land Use and Cover Change from 1990 to 2010: A Case Study of Jiangsu Province, China," IJERPH, MDPI, vol. 16(6), pages 1-19, March.
    8. Chun Li & Xingwu Duan, 2020. "Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
    9. Bingkui Qiu & Jinjiang Yao & Siyu Han & Zhe Zhu, 2022. "Spatio-Temporal Variation of Habitat Quality for Bird Species in China Caused by Land Use Change during 1995–2015," Sustainability, MDPI, vol. 14(16), pages 1-12, August.
    10. Ping Zhang & Bo Hong & Liang He & Fei Cheng & Peng Zhao & Cailiang Wei & Yunhui Liu, 2015. "Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural N," IJERPH, MDPI, vol. 12(10), pages 1-25, September.
    11. Yunzhi Zhang & Tongyan Zheng & Chen Yu & Jing Ren & Xuegang Gong & Hao Wang & Yihao Duan, 2023. "Multi-Perspective Analysis of Land Changes in the Transitional Zone between the Mu Us Desert and the Loess Plateau in China from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-16, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huan Lu & Ruiyang Wang & Rong Ye & Jinzhao Fan, 2023. "Monitoring Long-Term Spatiotemporal Dynamics of Urban Expansion Using Multisource Remote Sensing Images and Historical Maps: A Case Study of Hangzhou, China," Land, MDPI, vol. 12(1), pages 1-23, January.
    2. Xue Liu & Helin Liu & Wanzhen Chen & Zhonghao Zhang, 2017. "Spatiotemporal Fragmentation of Urban Residential Land Use: A Case Study from China," Sustainability, MDPI, vol. 9(7), pages 1-13, June.
    3. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    4. Bingkui Qiu & Shasha Lu & Min Zhou & Lu Zhang & Yu Deng & Ci Song & Zuo Zhang, 2015. "A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    5. Chen, Qifei & Wang, Meng, 2022. "Opening of high-speed rail and the consumer service industry: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 31-45.
    6. Lambert, D.M. & Wilcox, M. & English, A. & Stewart, L., 2008. "Ethanol Plant Location Determinants and County Comparative Advantage," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 117-135, April.
    7. Tang, Peng & Feng, Yue & Li, Min & Zhang, Yanyan, 2021. "Can the performance evaluation change from central government suppress illegal land use in local governments? A new interpretation of Chinese decentralisation," Land Use Policy, Elsevier, vol. 108(C).
    8. ChuangLin Fang & XingLiang Guan & ShaSha Lu & Min Zhou & Yu Deng, 2013. "Input–Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA)," Urban Studies, Urban Studies Journal Limited, vol. 50(13), pages 2766-2790, October.
    9. Xingjian Liu & Ying Long, 2016. "Automated identification and characterization of parcels with OpenStreetMap and points of interest," Environment and Planning B, , vol. 43(2), pages 341-360, March.
    10. Siyi Chen & Zhigang Chen & Yan Shen, 2021. "Can improving law enforcement effectively curb illegal land use in China?," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-17, February.
    11. Shasha Lu & Xingliang Guan & Chao He & Jiali Zhang, 2014. "Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China," Sustainability, MDPI, vol. 6(8), pages 1-26, July.
    12. Allen Blackman & Beatriz Ávalos-Sartorio & Jeffrey Chow, 2012. "Land Cover Change in Agroforestry: Shade Coffee in El Salvador," Land Economics, University of Wisconsin Press, vol. 88(1), pages 75-101.
    13. Su, Baozhong & Li, Yuheng & Li, Lequn & Wang, Yue, 2018. "How does nonfarm employment stability influence farmers' farmland transfer decisions? Implications for China’s land use policy," Land Use Policy, Elsevier, vol. 74(C), pages 66-72.
    14. Weizhong Su & Gaobin Ye, 2014. "Differences of Soil Fertility in Farmland Occupation and Supplement Areas in the Taihu Lake Watershed during 1985–2010," IJERPH, MDPI, vol. 11(6), pages 1-15, May.
    15. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    16. Iga Solecka & Dietmar Bothmer & Arkadiusz Głogowski, 2019. "Recognizing Landscapes for the Purpose of Sustainable Development—Experiences from Poland," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    17. Jie Song & Dongyan Cai & Jinsong Deng & Ke Wang & Zhangquan Shen, 2015. "Dynamics of Paddy Field Patterns in Response to Urbanization: A Case Study of the Hang-Jia-Hu Plain," Sustainability, MDPI, vol. 7(10), pages 1-23, October.
    18. Phaisarn Jeefoo & Nitin Kumar Tripathi & Marc Souris, 2010. "Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand," IJERPH, MDPI, vol. 8(1), pages 1-24, December.
    19. Wu, Rong & Li, Yingcheng & Wang, Shaojian, 2022. "Will the construction of high-speed rail accelerate urban land expansion? Evidences from Chinese cities," Land Use Policy, Elsevier, vol. 114(C).
    20. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:3:p:3215-3232:d:34141. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.