IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i9p11967-11979d54944.html
   My bibliography  Save this article

Space-Time Characteristics of Vegetation Cover and Distribution: Case of the Henan Province in China

Author

Listed:
  • Jingzhong Li

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
    College of Urban Planning and Landscape Garden, Xuchang University, Xuchang 461000, China)

  • Yongmei Liu

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Mingming Cao

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Bing Xue

    (Lab for Urban & Environmental Computation, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    Institute for Advanced Sustainability Studies (IASS), Potsdam 14467, Germany)

Abstract

Vegetation indicators and spatial distribution characteristics are the core and basis to study the complex human-natural coupled system. In this paper, with Landsat 5 and Landsat 8 remote sensing data, we quantitatively estimated vegetation coverage in Henan Province, China. According to the urbanization rate, altitude, slope degree, and slope exposure, we analyzed spatial and temporal variation laws of vegetation coverage under the action of different factors to provide a reference for the improvement of the ecological environment and the quality assessment of Chinese granary. From 2000 to 2013, the vegetation coverage in Henan Province declined by 30.49% and the ecological environment deteriorated. The spatial change of vegetation coverage was evenly distributed in Henan Province. The vegetation coverage was increased in the west, south, and southwest parts of Henan Province and slightly decreased in the central, east, and the eastern part of Taihang Mountain. Vegetation coverage in a city was related to its population urbanization rate. The population urbanization rate was often negatively correlated with the vegetation coverage. According to the results of terrain factors based analysis, the low-altitude areas were in a good vegetation cover condition with the high vegetation coverage grade; the areas with a smaller slope degree had the large vegetation coverage and the coverage decreased with the increase in the slope degree; the coverage showed no significant difference between sunny and shady slopes and was less limited by light, temperature, and humidity.

Suggested Citation

  • Jingzhong Li & Yongmei Liu & Mingming Cao & Bing Xue, 2015. "Space-Time Characteristics of Vegetation Cover and Distribution: Case of the Henan Province in China," Sustainability, MDPI, vol. 7(9), pages 1-13, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:11967-11979:d:54944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/9/11967/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/9/11967/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aggarwal, Raj & Chen, Xiaoying & Yur-Austin, Jasmine, 2011. "Currency risk exposure of Chinese corporations," Research in International Business and Finance, Elsevier, vol. 25(3), pages 266-276, September.
    2. Chih-Ting Shih & Shyh-jer Chen, 2011. "Editors' Forum: Chinese Capitalism," Management and Organization Review, The International Association for Chinese Management Research, vol. 7(1), pages 125-151, March.
    3. Fei Ren & Wei-Xing Zhou, 2013. "Analysis of trade packages in the Chinese stock market," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1071-1089, January.
    4. Lih Ru Chen & Gene C. Lai, 2011. "The Chinese Insurance Market and the WTO," Chinese Economy, Taylor & Francis Journals, vol. 44(6), pages 6-14, November.
    5. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    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. Yu Fu & Zhihao Fan & Xiangzhi Li & Pengyu Wang & Xiaoyue Sun & Yu Ren & Wengeng Cao, 2025. "The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction," Land, MDPI, vol. 14(4), pages 1-21, March.
    2. Zhenzhen Zhao & Aiwen Lin & Jiandi Feng & Qian Yang & Ling Zou, 2016. "Analysis of Water Resources in Horqin Sandy Land Using Multisource Data from 2003 to 2010," Sustainability, MDPI, vol. 8(4), pages 1-18, April.

    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. Huang, Lin & Wu, Jia & Zhang, Rui, 2014. "Exchange risk and asset returns: A theoretical and empirical study of an open economy asset pricing model," Emerging Markets Review, Elsevier, vol. 21(C), pages 96-116.
    2. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
    3. Qian Wang & Xiaochu Feng, 2014. "Does Property Rights Reform Improve the Efficiency of China's State-owned Banks?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(4), pages 1-20, July.
    4. Chen, Xiang & Wu, Xin, 2020. "What factor contributes to productivity growth of Chinese city banks: The role of regional difference," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. E. Avisoa, 2016. "European banks’ technical efficiency and performance: do business models matter? The case of European co-operatives banks," Débats Economiques et financiers 25, Banque de France.
    6. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    7. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
    8. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    9. Bing Xu & Adrian Van Rixtel & Michiel Van Leuvensteijn, 2013. "Measuring bank competition in China: a comparison of new versus conventional approaches applied to loan markets," BIS Working Papers 422, Bank for International Settlements.
    10. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).
    11. Chen, Pei-Fen & Liu, Ping-Chin, 2013. "Bank ownership, performance, and the politics: Evidence from Taiwan," Economic Modelling, Elsevier, vol. 31(C), pages 578-585.
    12. Nada Milenković & Boris Radovanov & Branimir Kalaš & Aleksandra Marcikić Horvat, 2022. "External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    13. Musciotto, Federico & Marotta, Luca & Miccichè, Salvatore & Piilo, Jyrki & Mantegna, Rosario N., 2016. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 267-278.
    14. Al-Shboul, Mohammad & Anwar, Sajid, 2014. "Pricing of the currency risk in the Canadian equity market," Research in International Business and Finance, Elsevier, vol. 30(C), pages 173-194.
    15. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    16. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    17. Federico Musciotto & Luca Marotta & Jyrki Piilo & Rosario N. Mantegna, 2018. "Long-term ecology of investors in a financial market," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 4(1), pages 1-12, December.
    18. Carlos Barros & Hidemichi Fujii & Shunsuke Managi, 2015. "How scale and ownership are related to financial performance? A productivity analysis of the Chinese banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    19. repec:dau:papers:123456789/15237 is not listed on IDEAS
    20. Dranev Yury & Maxim Babushkin, 2014. "Asymmetric exchange-rate exposure in BRIC countries," HSE Working papers WP BRP 27/FE/2014, National Research University Higher School of Economics.
    21. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:7:y:2015:i:9:p:11967-11979:d:54944. 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.