IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i7p1068-d861831.html
   My bibliography  Save this article

Modeling Analysis on Coupling Mechanisms of Mountain–Basin Human–Land Systems: Take Yuxi City as an Example

Author

Listed:
  • Li Wu

    (Department of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, China
    School of Geographic Sciences, Hunan Normal University, Changsha 410081, China)

  • Yanjun Yang

    (Department of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, China)

  • Binggeng Xie

    (School of Geographic Sciences, Hunan Normal University, Changsha 410081, China)

Abstract

The result of a human–land relationship in geographical environment systems is a human–land coupling system, which is a comprehensive process of interaction and infiltration between human economic and social systems and the natural ecosystem. Based on the recognition that the human–land system is a nonlinear system coupled by multiple factors, a time delay fractional order dynamics model with a Holling-II-type transformation rate was constructed, the stability analysis of the system was carried out, the transformation times of different land classes were clarified, and the coupled dynamics model parameters of mountainous areas and basin areas were obtained by using the land-use change survey data and socio-economic statistical data in Yuxi City, respectively: the transformation parameter of the production and living land to the unused land in mountainous areas and basin areas ( a M , 0.0486 and a B , 0.0126); the transformation parameter of unused land to production and living land in mountainous areas and basin areas ( b M 0.0062 and b B , 0.0139); the transformation parameter of unused land to the forest and grass land in mountainous areas and basin areas ( s M , 0.0051 and s B , 0.0028); the land area required to maintain the individual unit in mountainous areas and basin areas ( h M , 0.0335 and h B , 0.0165); the average reclamation capacity in mountainous areas and basin areas ( d M , 0.03 and d B , 0.05); the inherent growth rate of populations in mountainous areas and basin areas ( r M , 0.0563 and r B , 0.151). Through analyzing the coupling mechanisms of human–land systems, the countermeasures for the difference between mountainous areas and basin areas in the future development are put forward. The mountainous area should reduce the conversion of forest and grass land to production and living land by reducing the average reclamation or development capacity, reducing the excessive interference of human beings on unused land, and speeding up its natural recovery and succession to forest and grass land. In addition to reducing the average reclamation or development capacity in basin areas, the reclamation or development rate of the idle land and degraded land should be increased, and the conversion of idle land and degraded land into productive and living land should be encouraged by certain scientific and technological means.

Suggested Citation

  • Li Wu & Yanjun Yang & Binggeng Xie, 2022. "Modeling Analysis on Coupling Mechanisms of Mountain–Basin Human–Land Systems: Take Yuxi City as an Example," Land, MDPI, vol. 11(7), pages 1-16, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1068-:d:861831
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/7/1068/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/7/1068/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Shichun & Ma, Libang & Yao, Yao & Cui, Xijuan, 2022. "Man-land relationship based on the spatial coupling of population and residential land – A case study of Yuzhong County in Longzhong Loess Hilly Region, China," Land Use Policy, Elsevier, vol. 116(C).
    2. Dan Yi & Xi Guo & Yi Han & Jie Guo & Minghao Ou & Xiaomin Zhao, 2022. "Coupling Ecological Security Pattern Establishment and Construction Land Expansion Simulation for Urban Growth Boundary Delineation: Framework and Application," Land, MDPI, vol. 11(3), pages 1-18, March.
    3. Nicholas R. Magliocca, 2020. "Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus," Land, MDPI, vol. 9(12), pages 1-25, December.
    4. Paul I. Palmer & Matthew J. Smith, 2014. "Earth systems: Model human adaptation to climate change," Nature, Nature, vol. 512(7515), pages 365-366, August.
    5. Chao Luo & Xingyuan Wang, 2013. "Chaos Generated From The Fractional-Order Complex Chen System And Its Application To Digital Secure Communication," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(04), pages 1-23.
    6. Wang, Zhen & Xie, Yingkang & Lu, Junwei & Li, Yuxia, 2019. "Stability and bifurcation of a delayed generalized fractional-order prey–predator model with interspecific competition," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 360-369.
    7. Deshpande, Amey S. & Daftardar-Gejji, Varsha & Sukale, Yogita V., 2017. "On Hopf bifurcation in fractional dynamical systems," Chaos, Solitons & Fractals, Elsevier, vol. 98(C), pages 189-198.
    8. Li Wu & Binggeng Xie, 2019. "The variation differences of cultivated land ecological security between flatland and mountainous areas based on LUCC," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    9. Guanglong Dong & Wenxin Zhang & Xinliang Xu & Kun Jia, 2021. "Multi-Dimensional Feature Recognition and Policy Implications of Rural Human–Land Relationships in China," Land, MDPI, vol. 10(10), pages 1-17, October.
    10. Li Wu & Zhouhong Li & Yuan Zhang & Binggeng Xie, 2020. "Complex Behavior Analysis of a Fractional-Order Land Dynamical Model with Holling-II Type Land Reclamation Rate on Time Delay," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-10, July.
    11. Li Wu & Binggeng Xie & Xiao Xiao & Bing Xue & Jingzhong Li, 2020. "Classification Method and Determination of Mountainous Area Types at Township Scales: A Case Study of Yuxi City, Yunnan Province," Complexity, Hindawi, vol. 2020, pages 1-13, September.
    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. Čermák, Jan & Nechvátal, Luděk, 2019. "Stability and chaos in the fractional Chen system," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 24-33.
    2. Eshaghi, Shiva & Khoshsiar Ghaziani, Reza & Ansari, Alireza, 2020. "Hopf bifurcation, chaos control and synchronization of a chaotic fractional-order system with chaos entanglement function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 172(C), pages 321-340.
    3. Li Wu & Yanjun Yang & Hailan Yang & Binggeng Xie & Weiqun Luo, 2023. "A Comparative Study on Land Use/Land Cover Change and Topographic Gradient Effect between Mountains and Flatlands of Southwest China," Land, MDPI, vol. 12(6), pages 1-20, June.
    4. Wang, Yuxia & Cao, Wenpu & Gao, Minyi & Gao, Yukun & Chi, Xingyu & Meng, Xing & Li, Shuang & Hu, Guohua, 2024. "Examining spatial coordination of human-land-industry-service system from a regionalization approach: A case study of Beijing," Land Use Policy, Elsevier, vol. 137(C).
    5. Kaiming Li & Min Wang & Wenbin Hou & Fuyuan Gao & Baicui Xu & Jianjun Zeng & Dongyu Jia & Jun Li, 2023. "Spatial Distribution and Driving Mechanisms of Rural Settlements in the Shiyang River Basin, Western China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    6. Lin Meng & Chuanguang Zhu & Jie Pu & Bo Wen & Wentao Si, 2022. "Study on the Influence Mechanism of Intangible Cultural Heritage Distribution from Man–Land Relationship Perspective: A Case Study in Shandong Province," Land, MDPI, vol. 11(8), pages 1-18, August.
    7. Jiahao Zhai & Chiwei Xiao & Zhiming Feng & Ying Liu, 2022. "Spatio-Temporal Patterns of Land-Use Changes and Conflicts between Cropland and Forest in the Mekong River Basin during 1990–2020," Land, MDPI, vol. 11(6), pages 1-17, June.
    8. Jianguang Zhu & Kai Li & Binbin Hao, 2019. "Image Restoration by Second-Order Total Generalized Variation and Wavelet Frame Regularization," Complexity, Hindawi, vol. 2019, pages 1-16, March.
    9. Wu, Tianyu & Huang, Xia & Chen, Xiangyong & Wang, Jing, 2020. "Sampled-data H∞ exponential synchronization for delayed semi-Markov jump CDNs: A looped-functional approach," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    10. Hartin, Corinne & Link, Robert & Patel, Pralit & Mundra, Anupriya & Horowitz, Russell & Dorheim, Kalyn & Clarke, Leon, 2021. "Integrated modeling of human-earth system interactions: An application of GCAM-fusion," Energy Economics, Elsevier, vol. 103(C).
    11. Mauricio Lima & Duncan A Christie & M Calogero Santoro & Claudio Latorre, 2016. "Coupled Socio-Environmental Changes Triggered Indigenous Aymara Depopulation of the Semiarid Andes of Tarapacá-Chile during the Late 19th-20th Centuries," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-12, August.
    12. Li, Jintao & Dong, Haoran & Li, Shaoxing, 2024. "Economic development and optimal allocation of land use in ecological emigration area in China," Land Use Policy, Elsevier, vol. 142(C).
    13. Wang, Xinhe & Lu, Junwei & Wang, Zhen & Li, Yuxia, 2020. "Dynamics of discrete epidemic models on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    14. Mohsen Ahmadi & Mahsa Soofiabadi & Maryam Nikpour & Hossein Naderi & Lazim Abdullah & Behdad Arandian, 2022. "Developing a Deep Neural Network with Fuzzy Wavelets and Integrating an Inline PSO to Predict Energy Consumption Patterns in Urban Buildings," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    15. Ma, Tingting & Meng, Xinzhu & Hayat, Tasawar & Hobiny, Aatef, 2021. "Stability analysis and optimal harvesting control of a cross-diffusion prey-predator system," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    16. Yaxin Shi & Yishao Shi, 2020. "Spatio-Temporal Variation Characteristics and Driving Forces of Farmland Shrinkage in Four Metropolises in East Asia," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    17. Ghanbari, Behzad, 2021. "On detecting chaos in a prey-predator model with prey’s counter-attack on juvenile predators," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    18. Balcı, Ercan, 2023. "Predation fear and its carry-over effect in a fractional order prey–predator model with prey refuge," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    19. Libang Ma & Tianmin Tao & Yao Yao & Yawei Li, 2023. "Renovation Potential Evaluation and Type Identification of Rural Idle Residential Land: A Case Study of Yuzhong County, Longzhong Loess Hilly Region, China," Land, MDPI, vol. 12(1), pages 1-21, January.
    20. Harshavarthini, S. & Sakthivel, R. & Ma, Yong-Ki & Muslim, M., 2020. "Finite-time resilient fault-tolerant investment policy scheme for chaotic nonlinear finance system," Chaos, Solitons & Fractals, Elsevier, vol. 132(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:jlands:v:11:y:2022:i:7:p:1068-:d:861831. 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.