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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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. Lucang Wang & Ting Liao & Jing Gao, 2025. "How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project," Land, MDPI, vol. 14(8), pages 1-24, July.
    4. 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.

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