IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3473-d521337.html
   My bibliography  Save this article

Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China

Author

Listed:
  • Yong Lai

    (Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
    Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Guangqing Huang

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shengzhong Chen

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China)

  • Shaotao Lin

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China)

  • Wenjun Lin

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China)

  • Jixin Lyu

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China)

Abstract

Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.

Suggested Citation

  • Yong Lai & Guangqing Huang & Shengzhong Chen & Shaotao Lin & Wenjun Lin & Jixin Lyu, 2021. "Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3473-:d:521337
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3473/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/6/3473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wickramasuriya, Rohan Chandralal & Bregt, Arnold K. & van Delden, Hedwig & Hagen-Zanker, Alex, 2009. "The dynamics of shifting cultivation captured in an extended Constrained Cellular Automata land use model," Ecological Modelling, Elsevier, vol. 220(18), pages 2302-2309.
    2. Mark Howells & Sebastian Hermann & Manuel Welsch & Morgan Bazilian & Rebecka Segerström & Thomas Alfstad & Dolf Gielen & Holger Rogner & Guenther Fischer & Harrij van Velthuizen & David Wiberg & Charl, 2013. "Integrated analysis of climate change, land-use, energy and water strategies," Nature Climate Change, Nature, vol. 3(7), pages 621-626, July.
    3. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    4. Xia Xu & Mengxi Guan & Honglei Jiang & Lingfei Wang, 2019. "Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    5. Cunha, Elias Rodrigues da & Santos, Celso Augusto Guimarães & Silva, Richarde Marques da & Bacani, Vitor Matheus & Pott, Arnildo, 2021. "Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil," Land Use Policy, Elsevier, vol. 101(C).
    6. Yang, Yuanyuan & Liu, Yansui & Li, Yurui & Li, Jintao, 2018. "Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective," Land Use Policy, Elsevier, vol. 79(C), pages 595-608.
    7. Mingxin Wen & Ting Zhang & Long Li & Longqian Chen & Sai Hu & Jia Wang & Weiqiang Liu & Yu Zhang & Lina Yuan, 2021. "Assessment of Land Ecological Security and Analysis of Influencing Factors in Chaohu Lake Basin, China from 1998–2018," Sustainability, MDPI, vol. 13(1), pages 1-28, January.
    8. Robert Pontius & Wideke Boersma & Jean-Christophe Castella & Keith Clarke & Ton Nijs & Charles Dietzel & Zengqiang Duan & Eric Fotsing & Noah Goldstein & Kasper Kok & Eric Koomen & Christopher Lippitt, 2008. "Comparing the input, output, and validation maps for several models of land change," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 11-37, March.
    9. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Shunguang Hu & Zijuan Zhu, 2020. "Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    10. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
    11. Meng, Liting & Sun, Yan & Zhao, Shuqing, 2020. "Comparing the spatial and temporal dynamics of urban expansion in Guangzhou and Shenzhen from 1975 to 2015: A case study of pioneer cities in China’s rapid urbanization," Land Use Policy, Elsevier, vol. 97(C).
    Full references (including those not matched with items on IDEAS)

    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. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    2. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).
    3. Wang, Cheng & Wang, Gang & Guo, Ziru & Dai, Lingjun & Liu, Hongyu & Li, Yufeng & Chen, Hao & Zhao, Yongxiang & Zhang, Yanan & Cheng, Hai, 2020. "Effects of land-use change on the distribution of the wintering red-crowned crane (Grus japonensis) in the coastal area of northern Jiangsu Province, China," Land Use Policy, Elsevier, vol. 90(C).
    4. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    5. Zhang, Yan & Chang, Xia & Liu, Yanfang & Lu, Yanchi & Wang, Yiheng & Liu, Yaolin, 2021. "Urban expansion simulation under constraint of multiple ecosystem services (MESs) based on cellular automata (CA)-Markov model: Scenario analysis and policy implications," Land Use Policy, Elsevier, vol. 108(C).
    6. Ma, Wenqiu & Jiang, Guanghui & Chen, Yunhao & Qu, Yanbo & Zhou, Tao & Li, Wenqing, 2020. "How feasible is regional integration for reconciling land use conflicts across the urban–rural interface? Evidence from Beijing–Tianjin–Hebei metropolitan region in China," Land Use Policy, Elsevier, vol. 92(C).
    7. Chen, Zhu & Zhang, Anlu & Zhou, Kehao & Huang, Lingxiang, 2021. "Can payment tools substitute for regulatory ones? Estimating the policy preference for agricultural land preservation, Tianjin, China," Land Use Policy, Elsevier, vol. 100(C).
    8. Li, Bingqing & Wang, Zhanqi & Chai, Ji & Zhang, Di, 2019. "Index system to assess implementation of strategic land use plans in China," Land Use Policy, Elsevier, vol. 88(C).
    9. Libang Ma & Xijuan Cui & Yao Yao & Shichun Liu, 2021. "Gradient Difference of Structure of Rural Construction Land in Loess Hilly Region: A Case Study of Yuzhong County, Gansu Province, China," Land, MDPI, vol. 10(4), pages 1-17, March.
    10. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    11. van Vliet, Jasper & Hagen-Zanker, Alex & Hurkens, Jelle & van Delden, Hedwig, 2013. "A fuzzy set approach to assess the predictive accuracy of land use simulations," Ecological Modelling, Elsevier, vol. 261, pages 32-42.
    12. Yang, Chen & Zhao, Shuqing, 2022. "Urban vertical profiles of three most urbanized Chinese cities and the spatial coupling with horizontal urban expansion," Land Use Policy, Elsevier, vol. 113(C).
    13. Luoman Pu & Jiuchun Yang & Lingxue Yu & Changsheng Xiong & Fengqin Yan & Yubo Zhang & Shuwen Zhang, 2021. "Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050," IJERPH, MDPI, vol. 18(3), pages 1-21, January.
    14. Zhang, Jian & Mishra, Ashok K. & Hirsch, Stefan & Li, Xiaoshun, 2020. "Factors affecting farmland rental in rural China: Evidence of capitalization of grain subsidy payments," Land Use Policy, Elsevier, vol. 90(C).
    15. He, Qingsong & Xu, Min & Xu, Zike & Ye, Yanmei & Shu, Xianfan & Xie, Peng & Wu, Jiayu, 2019. "Promotion incentives, infrastructure construction, and industrial landscapes in China," Land Use Policy, Elsevier, vol. 87(C).
    16. Lu, Xinhai & Li, Yan & Ke, Shangan, 2020. "Spatial distribution pattern and its optimization strategy of China’s overseas farmland investments," Land Use Policy, Elsevier, vol. 91(C).
    17. Wen, Yangyang & Zhang, Zhengfeng & Liang, Di & Xu, Ze, 2020. "Rural Residential Land Transition in the Beijing-Tianjin-Hebei Region: Spatial-Temporal Patterns and Policy Implications," Land Use Policy, Elsevier, vol. 96(C).
    18. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    19. Zeng, Zhaozhao & Song, Bingjie & Zheng, Xiaodong & Li, Huan, 2019. "Changes of traffic network and urban transformation: A case study of Xi’an city, China," Land Use Policy, Elsevier, vol. 88(C).
    20. Liu, Guilin & Li, Jingyun & Nie, Peng, 2022. "Tracking the history of urban expansion in Guangzhou (China) during 1665–2017: Evidence from historical maps and remote sensing images," Land Use Policy, Elsevier, vol. 112(C).

    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:jsusta:v:13:y:2021:i:6:p:3473-:d:521337. 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.