IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i5p1360-d211028.html
   My bibliography  Save this article

Spatiotemporal Characteristic of Land Use/Land Cover Changes in the Middle and Lower Reaches of Shule River Basin Based on an Intensity Analysis

Author

Listed:
  • Fuwen Da

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Xingpeng Chen

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
    Research Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Jinghui Qi

    (School of Civil Engineering and Architecture, Zhengzhou University of Aeronautics, Zhengzhou 450000, Henan, China)

Abstract

The vegetation response to climatic factors is a hot topic in global change research. With the Support of ArcGIS and ENVI software, six sets of Landsat remote sensing images of the middle and lower reaches of the Shule River Basin were interpreted. Eight types of land use and land covers were obtained and the spatiotemporal characteristics of the land use/land cover changes (LUCCs) were analyzed using an intensity analysis to provide a basis for decision-making on the sustainable development of the basin. In the past 29 years, the area of cropland, construction land and shrubland had a net increase, while high-coverage grassland (HCG), medium-coverage grassland (MCG), low-coverage grassland (LCG), wetland and non-vegetation land all presented a net decrease. The area of artificial vegetation (cropland) presented an expanding trend and increased by 1105.56 km 2 in total, while the natural vegetation (grassland, shrubland, wetland) showed a shrinking tendency and decreased by 917.69 km 2 . The intensity analysis revealed that the rate of LUCC in the period of 2000~2006 and 2006~2010 was relatively higher, although the rate of LUCC in other periods was much lower. The change intensities of MCG and HCG were greatest, followed by LCG, shrubland and wetland. Construction land and cropland were in third place, while non-vegetation land was in last place. The pattern of regional LUCC was generally stable except for cropland loss and the gain/loss change of other land-use/land-cover types was always in an active state. For spatial distribution, few changes were observed in the old irrigated area within the oasis. The LUCC was mainly concentrated in the oasis fringe area, natural vegetation cover area and emigrant arrangement regions.

Suggested Citation

  • Fuwen Da & Xingpeng Chen & Jinghui Qi, 2019. "Spatiotemporal Characteristic of Land Use/Land Cover Changes in the Middle and Lower Reaches of Shule River Basin Based on an Intensity Analysis," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1360-:d:211028
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/5/1360/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/5/1360/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anna Roccati & Fabio Luino & Laura Turconi & Pietro Piana & Charles Watkins & Francesco Faccini, 2018. "Historical Geomorphological Research of a Ligurian Coastal Floodplain (Italy) and Its Value for Management of Flood Risk and Environmental Sustainability," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    2. Robert Gilmore Pontius & Yan Gao & Nicholas M. Giner & Takashi Kohyama & Mitsuru Osaki & Kazuyo Hirose, 2013. "Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia," Land, MDPI, vol. 2(3), pages 1-19, July.
    3. Clement Aga Alo & Robert Gilmore Pontius Jr, 2008. "Identifying Systematic Land-Cover Transitions Using Remote Sensing and GIS: The Fate of Forests inside and outside Protected Areas of Southwestern Ghana," Environment and Planning B, , vol. 35(2), pages 280-295, April.
    4. 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.
    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. Xiaofang Sun & Guicai Li & Junbang Wang & Meng Wang, 2021. "Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps," Land, MDPI, vol. 10(1), pages 1-18, January.
    2. Ali Kourosh Niya & Jinliang Huang & Hazhir Karimi & Hamidreza Keshtkar & Babak Naimi, 2019. "Use of Intensity Analysis to Characterize Land Use/Cover Change in the Biggest Island of Persian Gulf, Qeshm Island, Iran," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    3. Xiaofang Sun & Chao Yu & Junbang Wang & Meng Wang, 2020. "The Intensity Analysis of Production Living Ecological Land in Shandong Province, China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.

    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. Zhiwei Deng & Bin Quan, 2022. "Intensity Characteristics and Multi-Scenario Projection of Land Use and Land Cover Change in Hengyang, China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    2. Syed Amir Manzoor & Geoffrey Hugh Griffiths & Elizabeth Robinson & Kikuko Shoyama & Martin Lukac, 2022. "Linking Pattern to Process: Intensity Analysis of Land-Change Dynamics in Ghana as Correlated to Past Socioeconomic and Policy Contexts," Land, MDPI, vol. 11(7), pages 1-16, July.
    3. Pietro Piana & Francesco Faccini & Fabio Luino & Guido Paliaga & Alessandro Sacchini & Charles Watkins, 2019. "Geomorphological Landscape Research and Flood Management in a Heavily Modified Tyrrhenian Catchment," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    4. Jose Don T. De Alban & Graham W. Prescott & Kevin M. Woods & Johanness Jamaludin & Kyaw Thinn Latt & Cheng Ling Lim & Aye Chan Maung & Edward L. Webb, 2019. "Integrating Analytical Frameworks to Investigate Land-Cover Regime Shifts in Dynamic Landscapes," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
    5. Nyamekye, Clement & Kwofie, Samuel & Ghansah, Benjamin & Agyapong, Emmanuel & Boamah, Linda Appiah, 2020. "Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben Municipality," Land Use Policy, Elsevier, vol. 99(C).
    6. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Le Yu & Emmanuel Kwesi Nyantakyi & Amos Tiereyangn Kabo-Bah & Min Jiang & Jie Zhou & Yunzhe Lv & Yelong Zeng & Ali Bennour, 2023. "Spatiotemporal Patterns in Land Use/Land Cover Observed by Fusion of Multi-Source Fine-Resolution Data in West Africa," Land, MDPI, vol. 12(5), pages 1-35, May.
    7. Yongjiu Feng & Jiafeng Wang & Xiaohua Tong & Yang Liu & Zhenkun Lei & Chen Gao & Shurui Chen, 2018. "The Effect of Observation Scale on Urban Growth Simulation Using Particle Swarm Optimization-Based CA Models," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    8. Sabrina Lai & Corrado Zoppi, 2017. "The Influence of Natura 2000 Sites on Land-Taking Processes at the Regional Level: An Empirical Analysis Concerning Sardinia (Italy)," Sustainability, MDPI, vol. 9(2), pages 1-26, February.
    9. Amah Akodéwou & Johan Oszwald & Slim Saïdi & Laurent Gazull & Sêmihinva Akpavi & Koffi Akpagana & Valéry Gond, 2020. "Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    10. Marko D. Petrović & Ilija Milovanović & Tamara Gajić & Veronika N. Kholina & Miroslav Vujičić & Ivana Blešić & Filip Đoković & Milan M. Radovanović & Nina B. Ćurčić & Al Fauzi Rahmat & Karlygash Muzdy, 2023. "The Degree of Environmental Risk and Attractiveness as a Criterion for Visiting a Tourist Destination," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    11. Laura Turconi & Domenico Tropeano & Gabriele Savio & Barbara Bono & Sunil Kumar De & Marco Frasca & Fabio Luino, 2022. "Torrential Hazard Prevention in Alpine Small Basin through Historical, Empirical and Geomorphological Cross Analysis in NW Italy," Land, MDPI, vol. 11(5), pages 1-24, May.
    12. Dadirai Matarira & Onisimo Mutanga & Maheshvari Naidu & Terence Darlington Mushore & Marco Vizzari, 2023. "Characterizing Informal Settlement Dynamics Using Google Earth Engine and Intensity Analysis in Durban Metropolitan Area, South Africa: Linking Pattern to Process," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    13. Akinyemi, Felicia O. & Mashame, Gofamodimo, 2018. "Analysis of land change in the dryland agricultural landscapes of eastern Botswana," Land Use Policy, Elsevier, vol. 76(C), pages 798-811.
    14. Guido Paliaga & Fabio Luino & Laura Turconi & Fausto Marincioni & Francesco Faccini, 2020. "Exposure to Geo-Hydrological Hazards of the Metropolitan Area of Genoa, Italy: A Multi-Temporal Analysis of the Bisagno Stream," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    15. Sonali Sharma & Pawan Kumar Joshi & Christine Fürst, 2022. "Exploring Multiscale Influence of Urban Growth on Landscape Patterns of Two Emerging Urban Centers in the Western Himalaya," Land, MDPI, vol. 11(12), pages 1-23, December.
    16. Jahanifar, Komeil & Amirnejad, Hamid & Mojaverian, Seyed Mojtaba & Azadi, Hossein, 2020. "Land use change drivers in the Hyrcanian Vegetation Area: Dynamic simultaneous equations system with panel data approach," Land Use Policy, Elsevier, vol. 99(C).
    17. Xuejiao Fan & Bin Quan & Zhiwei Deng & Jianxiong Liu, 2022. "Study on Land Use Changes in Changsha–Zhuzhou–Xiangtan under the Background of Cultivated Land Protection Policy," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    18. 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.
    19. Xiaofang Sun & Guicai Li & Junbang Wang & Meng Wang, 2021. "Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps," Land, MDPI, vol. 10(1), pages 1-18, January.
    20. Kun Zhou & Xinyi Wang & Zhihan Wang & Yecui Hu, 2022. "Systematicity and Stability Analysis of Land Use Change—Taking Jinan, China, as an Example," Land, MDPI, vol. 11(7), pages 1-18, July.

    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:11:y:2019:i:5:p:1360-:d:211028. 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.