IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i3p771-d135790.html
   My bibliography  Save this article

Spatio-Temporal Variation of Land-Use Intensity from a Multi-Perspective—Taking the Middle and Lower Reaches of Shule River Basin in China as an Example

Author

Listed:
  • Libang Ma

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Wenjuan Cheng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Jie Bo

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Xiaoyang Li

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Yuan Gu

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

Abstract

The long-term human activities could influence land use/cover change and sustainability. As the global climate changes, humans are using more land resources to develop economy and create material wealth, which causes a tremendous influence on the structure of natural resources, ecology, and environment. Interference from human activities has facilitated land utilization and land coverage change, resulting in changes in land-use intensity. Land-use intensity can indicate the degree of the interference of human activities on lands, and is an important indicator of the sustainability of land use. Taking the middle and lower reaches of Shule River Basin as study region, this paper used “land-use degree (LUD)” and “human activity intensity (HAI)” models for land-use intensity, and analyzed the spatio-temporal variation of land-use intensity in this region from a multi-perspective. The results were as follows: (1) From 1987 to 2015, the land use structure in the study region changed little. Natural land was always the main land type, followed by semi-natural land and then artificial land. (2) The LUD in the study region increased by 35.36 over the 29 years. It increased the most rapidly from 1996 to 2007, and after 2007, it still increased, but more slowly. A spatial distribution pattern of “low land-use degree in east and west regions and high land-use degree in middle region” changed to “high land-use degree in east and middle regions and low land-use degree in west region”. (3) The human activity intensity of artificial lands (HAI-AL) in the study region decreased from 1987 to 1996, and then increased from 1996 to 2015. The human activity intensity of semi-artificial lands (HAL-SAL) in the study region increased over the 29 years, and more rapidly after 1996. (4) 1996–2007 was a transition period for the land-use intensity in the study region. This was related to the implementation of the socio-economy, policies such as “Integrated Development of Agricultural Irrigation and Immigrant Settlement in Shule River Basin (1996–2006)”, and technologies.

Suggested Citation

  • Libang Ma & Wenjuan Cheng & Jie Bo & Xiaoyang Li & Yuan Gu, 2018. "Spatio-Temporal Variation of Land-Use Intensity from a Multi-Perspective—Taking the Middle and Lower Reaches of Shule River Basin in China as an Example," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:771-:d:135790
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/3/771/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/3/771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shan Huang & Qi Feng & Zhixiang Lu & Xiaohu Wen & Ravinesh C. Deo, 2017. "Trend Analysis of Water Poverty Index for Assessment of Water Stress and Water Management Polices: A Case Study in the Hexi Corridor, China," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    2. Avrum Shriar, 2005. "Determinants of Agricultural Intensity Index “Scores” in a Frontier Region: An Analysis of Data from Northern Guatemala," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 22(4), pages 395-410, December.
    3. Weiwei Zhang & Hong Li, 2016. "Characterizing and Assessing the Agricultural Land Use Intensity of the Beijing Mountainous Region," Sustainability, MDPI, vol. 8(11), pages 1-18, November.
    4. Yafei Li & Gaohuan Liu, 2017. "Characterizing Spatiotemporal Pattern of Land Use Change and Its Driving Force Based on GIS and Landscape Analysis Techniques in Tianjin during 2000–2015," Sustainability, MDPI, vol. 9(6), pages 1-26, May.
    5. Jinghui Qi & Shuwen Niu & Yifang Zhao & Man Liang & Libang Ma & Yongxia Ding, 2017. "Responses of Vegetation Growth to Climatic Factors in Shule River Basin in Northwest China: A Panel Analysis," Sustainability, MDPI, vol. 9(3), pages 1-22, March.
    6. Wang, Fahui & Antipova, Anzhelika & Porta, Sergio, 2011. "Street centrality and land use intensity in Baton Rouge, Louisiana," Journal of Transport Geography, Elsevier, vol. 19(2), pages 285-293.
    7. Zhang, Bingxin, 2014. "Empirical Study on the Relationship between Economic Development and Urban Construction Land in China: Based on the Panel Data of Provinces," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 6(08), pages 1-5, August.
    8. Qian Li & Xuefeng Zhang & Qingfu Liu & Yang Liu & Yong Ding & Qing Zhang, 2017. "Impact of Land Use Intensity on Ecosystem Services: An Example from the Agro-Pastoral Ecotone of Central Inner Mongolia," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    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. Fengjie Gao & Jinfang Cui & Si Zhang & Xiaohui Xin & Shaoliang Zhang & Jun Zhou & Ying Zhang, 2022. "Spatio-Temporal Distribution and Driving Factors of Ecosystem Service Value in a Fragile Hilly Area of North China," Land, MDPI, vol. 11(12), pages 1-20, December.
    2. Zhenbo Wang, 2018. "Land Spatial Development Based on Carrying Capacity, Land Development Potential, and Efficiency of Urban Agglomerations in China," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    3. Xiaojian Wei & Li Zhao & Penggen Cheng & Mingrui Xie & Huimin Wang, 2022. "Spatial-Temporal Dynamic Evaluation of Ecosystem Service Value and Its Driving Mechanisms in China," Land, MDPI, vol. 11(7), pages 1-20, June.

    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. Li Yu & Zhanqi Wang & Hongwei Zhang & Chao Wei, 2020. "Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    2. Guanwen Yin & Tianzi Liu & Yanbin Chen & Yiming Hou, 2022. "Disparity and Spatial Heterogeneity of the Correlation between Street Centrality and Land Use Intensity in Jinan, China," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    3. Hengrui Zhang & Jianing Zhang & Zhuozhuo Lv & Linjie Yao & Ning Zhang & Qing Zhang, 2023. "Spatio-Temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of the Yellow River Basin in Inner Mongolia," Land, MDPI, vol. 12(6), pages 1-15, May.
    4. Shuting Bai & Jiuchun Yang & Yubo Zhang & Fengqin Yan & Lingxue Yu & Shuwen Zhang, 2022. "Evaluating Ecosystem Services and Trade-Offs Based on Land-Use Simulation: A Case Study in the Farming–Pastoral Ecotone of Northern China," Land, MDPI, vol. 11(7), pages 1-17, July.
    5. Tu Anh Trinh & Ducksu Seo & Unchong Kim & Thi Nhu Quynh Phan & Thi Hai Hang Nguyen, 2022. "Air Transport Centrality as a Driver of Sustainable Regional Growth: A Case of Vietnam," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    6. Scoppa, Martin & Bawazir, Khawla & Alawadi, Khaled, 2019. "Straddling boundaries in superblock cities. Assessing local and global network connectivity using cases from Abu Dhabi, UAE," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 770-782.
    7. Ahmed Ali Bindajam & Javed Mallick, 2020. "Impact of the Spatial Configuration of Streets Networks on Urban Growth: A Case Study of Abha City, Saudi Arabia," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    8. Sergio Porta & Vito Latora & Fahui Wang & Salvador Rueda & Emanuele Strano & Salvatore Scellato & Alessio Cardillo & Eugenio Belli & Francisco CÃ rdenas & Berta Cormenzana & Laura Latora, 2012. "Street Centrality and the Location of Economic Activities in Barcelona," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1471-1488, May.
    9. Zhang, Tong & Zeng, Zhe & Jia, Tao & Li, Jing, 2016. "Examining the amenability of urban street networks for locating facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 469-479.
    10. Chengliang Liu & Qinchang Gui, 2016. "Mapping intellectual structures and dynamics of transport geography research: a scientometric overview from 1982 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 159-184, October.
    11. Yaotao Xu & Peng Li & Jinjin Pan & Yi Zhang & Xiaohu Dang & Xiaoshu Cao & Junfang Cui & Zhi Yang, 2022. "Eco-Environmental Effects and Spatial Heterogeneity of “Production-Ecology-Living” Land Use Transformation: A Case Study for Ningxia, China," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    12. Guo, Xiao-Xia & Li, Ke-Li & Liu, Yi-Ze & Zhuang, Ming-Hao & Wang, Chong, 2022. "Toward the economic-environmental sustainability of smallholder farming systems through judicious management strategies and optimized planting structures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    13. Khaled Alawadi & Ngoc Hong Nguyen & Mariam Alkaabi, 2023. "The edge and the center in neighborhood planning units: assessing permeability and edge attractiveness in Abu Dhabi," Transportation, Springer, vol. 50(2), pages 677-705, April.
    14. Alessandro Venerandi & Mattia Zanella & Ombretta Romice & Jacob Dibble & Sergio Porta, 2017. "Form and urban change – An urban morphometric study of five gentrified neighbourhoods in London," Environment and Planning B, , vol. 44(6), pages 1056-1076, November.
    15. Liehui Wang & Yuanbo Zheng & César Ducruet & Fan Zhang, 2019. "Investment Strategy of Chinese Terminal Operators along the “21st-Century Maritime Silk Road”," Post-Print halshs-02092097, HAL.
    16. Chakrabarti, Sandip & Kushari, Triparnee & Mazumder, Taraknath, 2022. "Does transportation network centrality determine housing price?," Journal of Transport Geography, Elsevier, vol. 103(C).
    17. Saroj Koirala & Yiping Fang & Nirmal Mani Dahal & Chenjia Zhang & Bikram Pandey & Sabita Shrestha, 2020. "Application of Water Poverty Index (WPI) in Spatial Analysis of Water Stress in Koshi River Basin, Nepal," Sustainability, MDPI, vol. 12(2), pages 1-20, January.
    18. Liu, Chengliang & Duan, Dezhong, 2020. "Spatial inequality of bus transit dependence on urban streets and its relationships with socioeconomic intensities: A tale of two megacities in China," Journal of Transport Geography, Elsevier, vol. 86(C).
    19. Sisay Belay Bedeke, 2023. "Climate change vulnerability and adaptation of crop producers in sub-Saharan Africa: a review on concepts, approaches and methods," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1017-1051, February.
    20. Jahanifar, Komeil & Amirnejad, Hamid & Azadi, Hossein & Adenle, Ademola A. & Scheffran, Jürgen, 2019. "Economic analysis of land use changes in forests and rangelands: Developing conservation strategies," Land Use Policy, Elsevier, vol. 88(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:10:y:2018:i:3:p:771-:d:135790. 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.