IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i4p505-d784194.html
   My bibliography  Save this article

Evolution and Optimization of Territorial-Space Structure Based on Regional Function Orientation

Author

Listed:
  • Shilei Wang

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China
    These authors contributed equally to this work.)

  • Yanbo Qu

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

  • Weiying Zhao

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

  • Mei Guan

    (Shandong Institute of Territorial and Spatial Planning, Jinan 250014, China
    These authors contributed equally to this work.)

  • Zongli Ping

    (Shandong Institute of Territorial and Spatial Planning, Jinan 250014, China)

Abstract

In accordance with the ecological civilization strategy, it is necessary to conduct in-depth analyses and provide a systematic elaboration of the characteristics of territorial-space structure (TSS). In the present paper, we examine Shandong Province and construct a framework for the evolution and optimization of TSS based on regional functions. The evolutionary process, pattern, and driving mechanisms of TSS are clarified using a geo-information atlas, the gravity center shift model, spatial autocorrelation analyses, and a geographic detector model. Furthermore, multi-scenario territorial-space simulations are carried out using the CA–Markov model, based on which an optimal pattern of territorial space is constructed. The results show that the comprehensive dynamic degree of territorial space in Shandong Province was valued at 0.56% from 2000 to 2020. Furthermore, six geo-information Tupu of TSS evolution changed, with a total area of 35,485 km 2 , distributed mainly in the Yellow River Delta, the central and southern Shandong Mountain area, and the Jiaodong Peninsula. The migration route of the TSS gravity center curved over time. Territorial spaces are characterized by the exchange of ecological and agricultural space, while urban spaces occupy agricultural ones. The level of economic development, policy, and the institutional environment are driving forces in the transformation of ecological into agricultural spaces, as well as in transforming agricultural space into ecological and urban spaces. The trade-off connection of TSSs is made evident after a multi-scenario simulation of territorial space considering the 2020–2025 timeframe. Based on the goal of regional function co-ordination, Shandong Province is divided into three and four types of single and complex TSS, respectively. The obtained results may provide scientific reference for the co-ordination between human–land relationships and the sustainable use of territorial space, and serve to guide territorial spatial planning.

Suggested Citation

  • Shilei Wang & Yanbo Qu & Weiying Zhao & Mei Guan & Zongli Ping, 2022. "Evolution and Optimization of Territorial-Space Structure Based on Regional Function Orientation," Land, MDPI, vol. 11(4), pages 1-26, March.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:505-:d:784194
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/4/505/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/4/505/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoqing Zhao & Sinan Li & Junwei Pu & Peipei Miao & Qian Wang & Kun Tan, 2019. "Optimization of the National Land Space Based on the Coordination of Urban-Agricultural-Ecological Functions in the Karst Areas of Southwest China," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    2. Yuanyuan Yang & Wenkai Bao & Yuheng Li & Yongsheng Wang & Zongfeng Chen, 2020. "Land Use Transition and Its Eco-Environmental Effects in the Beijing–Tianjin–Hebei Urban Agglomeration: A Production–Living–Ecological Perspective," Land, MDPI, vol. 9(9), pages 1-24, August.
    3. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    4. Li, Sinan & Zhao, Xiaoqing & Pu, Junwei & Miao, Peipei & Wang, Qian & Tan, Kun, 2021. "Optimize and control territorial spatial functional areas to improve the ecological stability and total environment in karst areas of Southwest China," Land Use Policy, Elsevier, vol. 100(C).
    5. Ryan P. Powers & Walter Jetz, 2019. "Global habitat loss and extinction risk of terrestrial vertebrates under future land-use-change scenarios," Nature Climate Change, Nature, vol. 9(4), pages 323-329, April.
    6. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2019. "Publisher Correction: Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 565(7740), pages 9-9, January.
    7. Richard Aspinall & Michele Staiano, 2017. "A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System," Land, MDPI, vol. 6(4), pages 1-9, November.
    8. Qu, Yanbo & Jiang, Guang-hui & Li, Zitong & Tian, Yaya & Wei, Shuwen, 2019. "Understanding rural land use transition and regional consolidation implications in China," Land Use Policy, Elsevier, vol. 82(C), pages 742-753.
    9. Wu, Xutong & Wang, Shuai & Fu, Bojie & Liu, Yu & Zhu, Yuan, 2018. "Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed," Land Use Policy, Elsevier, vol. 72(C), pages 303-312.
    10. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Author Correction: Global land change from 1982 to 2016," Nature, Nature, vol. 563(7732), pages 26-26, November.
    11. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
    12. Yang, Xin & Zheng, Xin-Qi & Chen, Rui, 2014. "A land use change model: Integrating landscape pattern indexes and Markov-CA," Ecological Modelling, Elsevier, vol. 283(C), pages 1-7.
    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. Qi Cao & Junqing Tang & Yudie Huang & Manjiang Shi & Anton van Rompaey & Fengjue Huang, 2023. "Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements," IJERPH, MDPI, vol. 20(5), pages 1-24, February.
    2. Yunlu Jiang & Haotian He & Haoyu Zhang & Yuee Cao & Ge Shi & Lin Feng & Jianjun Yang, 2023. "Study on the Evolution and Optimization of the Spatial Structure of the Oasis in the Arid Area: A Case Study of the Aksu River Basin in China," IJERPH, MDPI, vol. 20(6), pages 1-22, March.
    3. Ze Yu & Desheng Su & Shilei Wang & Chuanchen Wei & Na Li & Yanbo Qu & Meng Wang, 2023. "Dynamic Matching and Spatial Optimization of Land Use and Resource-Environment Constraints in Typical Regions of the Yellow River Basin in China," Land, MDPI, vol. 12(7), pages 1-19, July.
    4. Hangbiao Shang & Chuwei Yang, 2022. "Towards Carbon Neutrality: The Innovation Efficiency of China’s Forestry Green Technology and Its Spatial Spillover Effects," Land, MDPI, vol. 11(7), pages 1-18, July.
    5. Guangliang Zhou & Di Zhang & Qian Zhou & Tao Shi, 2022. "Study on the Spatiotemporal Evolution Characteristics of the “Production–Living–Ecology” Space in the Yellow River Basin and Its Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-26, November.

    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. Kong, Xuesong & Fu, Mengxue & Zhao, Xiang & Wang, Jing & Jiang, Ping, 2022. "Ecological effects of land-use change on two sides of the Hu Huanyong Line in China," Land Use Policy, Elsevier, vol. 113(C).
    2. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    3. Haozhe Zhang & Qingyuan Yang & Huiming Zhang & Lulu Zhou & Hongji Chen, 2021. "Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China," Land, MDPI, vol. 10(11), pages 1-24, November.
    4. Ruiqiu Pang & Ning Hu & Jingrui Zhou & Dongqi Sun & Hongying Ye, 2022. "Study on Eco-Environmental Effects of Land-Use Transitions and Their Influencing Factors in the Central and Southern Liaoning Urban Agglomeration: A Production–Living–Ecological Perspective," Land, MDPI, vol. 11(6), pages 1-22, June.
    5. Xinyan Wu & Jinmei Ding & Bingjie Lu & Yuanyuan Wan & Linna Shi & Qi Wen, 2022. "Eco-Environmental Effects of Changes in Territorial Spatial Pattern and Their Driving Forces in Qinghai, China (1980–2020)," Land, MDPI, vol. 11(10), pages 1-20, October.
    6. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    7. Xidong Chen & Ruifeng Zhao & Peiji Shi & Lihua Zhang & Xiaoxin Yue & Ziyi Han & Jingfa Wang & Hanmei Dou, 2023. "Land Use Optimization Embedding in Ecological Suitability in the Embryonic Urban Agglomeration," Land, MDPI, vol. 12(6), pages 1-24, June.
    8. Srijana Shrestha & Khem Narayan Poudyal & Nawraj Bhattarai & Mohan B. Dangi & John J. Boland, 2022. "An Assessment of the Impact of Land Use and Land Cover Change on the Degradation of Ecosystem Service Values in Kathmandu Valley Using Remote Sensing and GIS," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    9. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    10. Baoni Li & Lihua Xiong & Quan Zhang & Shilei Chen & Han Yang & Shuhui Guo, 2022. "Effects of land use/cover change on atmospheric humidity in three urban agglomerations in the Yangtze River Economic Belt, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 577-613, August.
    11. Stephanie D. Maier & Jan Paul Lindner & Javier Francisco, 2019. "Conceptual Framework for Biodiversity Assessments in Global Value Chains," Sustainability, MDPI, vol. 11(7), pages 1-34, March.
    12. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
    13. Tatiana Montenegro-Romero & Cristián Vergara-Fernández & Fabian Argandoña-Castro & Fernando Peña-Cortés, 2022. "Agriculture and Temperate Fruit Crop Dynamics in South-Central Chile: Challenges for Fruit Crop Production in La Araucanía Region, Chile," Land, MDPI, vol. 11(6), pages 1-12, May.
    14. Michel Opelele Omeno & Ying Yu & Wenyi Fan & Tolerant Lubalega & Chen Chen & Claude Kachaka Sudi Kaiko, 2021. "Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
    15. Min Wang & Kongtao Qin & Yanhong Jia & Xiaohan Yuan & Shuqi Yang, 2022. "Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    16. Xiaotong Wang & Jiazheng Han & Jian Lin, 2022. "Response of Land Use and Net Primary Productivity to Coal Mining: A Case Study of Huainan City and Its Mining Areas," Land, MDPI, vol. 11(7), pages 1-16, June.
    17. Chen Ma & Runze Nie & Guoming Du, 2023. "Responses of Soil Collembolans to Land Degradation in a Black Soil Region in China," IJERPH, MDPI, vol. 20(6), pages 1-13, March.
    18. Chasia, Stanley & Olang, Luke O. & Sitoki, Lewis, 2023. "Modelling of land-use/cover change trajectories in a transboundary catchment of the Sio-Malaba-Malakisi Region in East Africa using the CLUE-s model," Ecological Modelling, Elsevier, vol. 476(C).
    19. Nguyen Van Hiep & Nguyen Thi Thanh Thao & Luong Van Viet & Huynh Cong Luc & Le Huy Ba, 2023. "Affecting of Nature and Human Activities on the Trend of Vegetation Health Indices in Dak Nong Province, Vietnam," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    20. Zhihua Liu & John S. Kimball & Ashley P. Ballantyne & Nicholas C. Parazoo & Wen J. Wang & Ana Bastos & Nima Madani & Susan M. Natali & Jennifer D. Watts & Brendan M. Rogers & Philippe Ciais & Kailiang, 2022. "Respiratory loss during late-growing season determines the net carbon dioxide sink in northern permafrost regions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    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:jlands:v:11:y:2022:i:4:p:505-:d:784194. 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.