IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v7y2018i1p6-d126645.html
   My bibliography  Save this article

Monitoring and Analysing Land Use/Cover Changes in an Arid Region Based on Multi-Satellite Data: The Kashgar Region, Northwest China

Author

Listed:
  • Ayisulitan Maimaitiaili

    (Geosystem and Biological Sciences Division, Graduate School of Science, Chiba University, Chiba 263-8522, Japan)

  • Xiaokaiti Aji

    (Pacific Consultants Co., Ltd., Toshima 101-8462, Japan)

  • Akbar Matniyaz

    (Geosystem and Biological Sciences Division, Graduate School of Science, Chiba University, Chiba 263-8522, Japan)

  • Akihiko Kondoh

    (Center environmental remote sensing, Chiba University, Chiba 263-8522, Japan)

Abstract

In arid regions, oases ecosystems are fragile and sensitive to climate change, and water is the major limiting factor for environmental and socio-economic developments. Understanding the drivers of land use/cover change (LUCC) in arid regions is important for the development of management strategies to improve or prevent environmental deterioration and loss of natural resources. The Kashgar Region is the key research area in this study; it is a typical mountain-alluvial plain-oasis-desert ecosystem in an arid region, and is one of the largest oases in Xinjiang Uyghur Autonomous Region, China. In addition, the Kashgar Region is an important cotton and grain production area. This study’s main objectives are to quantify predominant LUCCs and identify their driving forces, based on the integration of multiple remote sensors and applications of environmental and socio-economic data. Results showed that LUCCs have been significant in the Kashgar Region during the last 42 years. Cultivated land and urban/built-up lands were the most changed land cover (LC), by 3.6% and 0.4% from 1972 to 10.2% and 3% in 2014, respectively. By contrast, water and forest areas declined. Grassland and snow-covered areas have fluctuated along with climate and human activities. Bare land was changed slightly from 1972 to 2014. According to the land use transfer matrix, cultivated land replaced grass- and forestland. Urban/built-up land mainly expanded over cultivated and bare land. LUCCs were triggered by the interplay of natural and social drivers. Increasing runoff, caused by regional climate changes in seasonal variation, and snow melt water, have provided water resources for LC changes. In the same way, population growth, changes in land tenure, and socio-economic development also induced LUCCs. However, expansion of cultivated land and urban/built-up land led to increased water consumption and stressed fragile water systems during on-going climate changes. Therefore, the selection of adaption strategies relating to climate change and oasis development is very important for sustainable development in the Kashgar Region.

Suggested Citation

  • Ayisulitan Maimaitiaili & Xiaokaiti Aji & Akbar Matniyaz & Akihiko Kondoh, 2018. "Monitoring and Analysing Land Use/Cover Changes in an Arid Region Based on Multi-Satellite Data: The Kashgar Region, Northwest China," Land, MDPI, vol. 7(1), pages 1-18, January.
  • Handle: RePEc:gam:jlands:v:7:y:2018:i:1:p:6-:d:126645
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/7/1/6/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/7/1/6/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anonymous, 1966. "World Meteorological Organization," International Organization, Cambridge University Press, vol. 20(4), pages 842-844, October.
    2. Ito, Junichi & Ni, Jing, 2013. "Capital deepening, land use policy, and self-sufficiency in China's grain sector," China Economic Review, Elsevier, vol. 24(C), pages 95-107.
    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. 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.
    2. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    3. Negasi Solomon & Alcade C. Segnon & Emiru Birhane, 2019. "Ecosystem Service Values Changes in Response to Land-Use/Land-Cover Dynamics in Dry Afromontane Forest in Northern Ethiopia," IJERPH, MDPI, vol. 16(23), pages 1-15, November.
    4. M. M. Yagoub & Tareefa AlSumaiti & Yacob T. Tesfaldet & Khaled AlArfati & Maythaa Alraeesi & Mariam Eid Alketbi, 2023. "Integration of Analytic Hierarchy Process (AHP) and Remote Sensing to Assess Threats to Preservation of the Oases: Case of Al Ain, UAE," Land, MDPI, vol. 12(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. N. Subash & H. Mohan, 2011. "A Simple Rationally Integrated Drought Indicator for Rice–Wheat Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2425-2447, August.
    2. R. Kripalani & Ashwini Kulkarni & S. Sabade & M. Khandekar, 2003. "Indian Monsoon Variability in a Global Warming Scenario," 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. 29(2), pages 189-206, June.
    3. Claudio Morana & Giacomo Sbrana, 2017. "Temperature Anomalies, Radiative Forcing and ENSO," Working Papers 2017.09, Fondazione Eni Enrico Mattei.
    4. Sina Xie & Orachos Napasintuwong, 2014. "Review of Rice Policies in China, Thailand and Vietnam," Working Papers 201403, Kasetsart University, Department of Agricultural and Resource Economics.
    5. Ani Melkonyan & Malcolm Asadoorian, 2014. "Climate impact on agroeconomy in semiarid region of Armenia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 393-414, April.
    6. Dario Camuffo & Antonio della Valle & Francesca Becherini & Valeria Zanini, 2020. "Three centuries of daily precipitation in Padua, Italy, 1713–2018: history, relocations, gaps, homogeneity and raw data," Climatic Change, Springer, vol. 162(2), pages 923-942, September.
    7. Gokhan Yildirim & Ataur Rahman, 2022. "Spatiotemporal meteorological drought assessment: a case study in south-east Australia," 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. 111(1), pages 305-332, March.
    8. Yangbing Miao & Jiajie Liu & Raymond Yu Wang, 2021. "Occupation of Cultivated Land for Urban–Rural Expansion in China: Evidence from National Land Survey 1996–2006," Land, MDPI, vol. 10(12), pages 1-18, December.
    9. Roman Rolbiecki & Ali Yücel & Joanna Kocięcka & Atılgan Atilgan & Monika Marković & Daniel Liberacki, 2022. "Analysis of SPI as a Drought Indicator during the Maize Growing Period in the Çukurova Region (Turkey)," Sustainability, MDPI, vol. 14(6), pages 1-29, March.
    10. Shengzhi Huang & Jianxia Chang & Qiang Huang & Yutong Chen, 2014. "Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3095-3110, August.
    11. Arash Modaresi Rad & Davar Khalili & Ali Akbar Kamgar-Haghighi & Shahrokh Zand-Parsa & Seyed Adib Banimahd, 2016. "Assessment of seasonal characteristics of streamflow droughts under semiarid conditions," 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. 82(3), pages 1541-1564, July.
    12. Melkonyan, Ani, 2015. "Climate change impact on water resources and crop production in Armenia," Agricultural Water Management, Elsevier, vol. 161(C), pages 86-101.
    13. Zuo, Depeng & Cai, Siyang & Xu, Zongxue & Peng, Dingzhi & Kan, Guangyuan & Sun, Wenchao & Pang, Bo & Yang, Hong, 2019. "Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data," Agricultural Water Management, Elsevier, vol. 222(C), pages 125-138.
    14. Serey Sok & Nyda Chhinh & Sanara Hor & Pheakdey Nguonphan, 2021. "Climate Change Impacts on Rice Cultivation: A Comparative Study of the Tonle Sap and Mekong River," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    15. Jiao Huang & Ze Liang & Shuyao Wu & Shuangcheng Li, 2019. "Grain Self-Sufficiency Capacity in China’s Metropolitan Areas under Rapid Urbanization: Trends and Regional Differences from 1990 to 2015," Sustainability, MDPI, vol. 11(9), pages 1-23, April.
    16. Dong, Qi & Murakami, Tomoaki & Nakashima, Yasuhiro, 2021. "Induced Bias of Technological Change in Agriculture and Structural Transformation: A Translog Cost Function Analysis of Chinese Cereal Production," 2021 Conference, August 17-31, 2021, Virtual 315373, International Association of Agricultural Economists.
    17. Yog Aryal & Jianting Zhu, 2017. "On bias correction in drought frequency analysis based on climate models," Climatic Change, Springer, vol. 140(3), pages 361-374, February.
    18. T. Mavromatis, 2012. "Changes in exceptional hydrological and meteorological weekly event frequencies in Greece," Climatic Change, Springer, vol. 110(1), pages 249-267, January.
    19. Lei Liu & Jianqin Ma & Xiuping Hao & Qingyun Li, 2019. "Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    20. Maryam Azizabadi Farahani & Davar Khalili, 2013. "Seasonality Characteristics and Spatio-temporal Trends of 7-day Low Flows in a Large, Semi-arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4897-4911, November.

    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:7:y:2018:i:1:p:6-:d:126645. 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.