IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i6p1864-d150522.html
   My bibliography  Save this article

Assessment of Carbon Storage and Its Influencing Factors in Qinghai-Tibet Plateau

Author

Listed:
  • Zhonghe Zhao

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
    University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China)

  • Gaohuan Liu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China)

  • Naixia Mou

    (College of Geomatics, Shandong University of Science and Technology, Qingdao 266510, China)

  • Yichun Xie

    (Institute for Geospatial Research and Education, Eastern Michigan University, Ypsilanti, MI 48197, USA)

  • Zengrang Xu

    (Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China)

  • Yong Li

    (Guangzhou Institute of Geography, Guangzhou 510070, China)

Abstract

Land use/cover change (LUCC) is one of the major factors influencing the storage of ecosystem carbon. The carbon storage in Qinghai-Tibet Plateau, the world’s highest plateau, is affected by a combination of many factors. Using MCD12Q1 land classification data, aboveground biomass, belowground biomass, soil carbon and humus carbon data, as well as field sampling data for parameters verification, we applied the InVEST model to simulate the ecosystem carbon storage and the impacts of driving factors. The field survey samples were used to test the regression accuracy, and the results confirmed that the model performance was reasonable and acceptable. The main conclusions of this study are as follows: From 2001 to 2010, carbon storage in the Qinghai-Tibet Plateau increased by 10.39 billion t when assuming that the carbon density in each land cover type was constant. Changes of the land cover types caused carbon storage to increase by 116 million t, which contributed 13.82% of the dynamic carbon storage. Consequently, changes in carbon density accounted for 86.18% of the carbon storage change. In addition, we investigated the soil organic matter and aboveground biomass characteristics between 2012 and 2014 and found that the influences of fencing and dung on carbon storage were positive.

Suggested Citation

  • Zhonghe Zhao & Gaohuan Liu & Naixia Mou & Yichun Xie & Zengrang Xu & Yong Li, 2018. "Assessment of Carbon Storage and Its Influencing Factors in Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1864-:d:150522
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/6/1864/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/6/1864/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ram Oren & David S. Ellsworth & Kurt H. Johnsen & Nathan Phillips & Brent E. Ewers & Chris Maier & Karina V.R. Schäfer & Heather McCarthy & George Hendrey & Steven G. McNulty & Gabriel G. Katul, 2001. "Soil fertility limits carbon sequestration by forest ecosystems in a CO2-enriched atmosphere," Nature, Nature, vol. 411(6836), pages 469-472, May.
    2. M. Gluck & G. Banko & W. Vrzal, 2000. "Harnessing Remote Sensing to Accomplish Full Carbon Accounting: Workshop Report," Working Papers ir00010, International Institute for Applied Systems Analysis.
    3. Mongelli, I. & Tassielli, G. & Notarnicola, B., 2006. "Global warming agreements, international trade and energy/carbon embodiments: an input-output approach to the Italian case," Energy Policy, Elsevier, vol. 34(1), pages 88-100, January.
    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. Jiaji Zhu & Xijun Hu & Wenzhuo Xu & Jianyu Shi & Yihe Huang & Bingwen Yan, 2023. "Regional Carbon Stock Response to Land Use Structure Change and Multi-Scenario Prediction: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    2. Nematollah Kohestani & Shafagh Rastgar & Ghodratolla Heydari & Shaban Shataee Jouibary & Hamid Amirnejad, 2024. "Spatiotemporal modeling of the value of carbon sequestration under changing land use/land cover using InVEST model: a case study of Nour-rud Watershed, Northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 14477-14505, June.
    3. Yafei Wang & Jinfeng Liao & Yao He & Peipei Chen, 2022. "Evolution and Ecological Implications of Land Development and Conservation Patterns on the Qinghai-Tibet Plateau," Land, MDPI, vol. 11(10), pages 1-17, October.
    4. Zeyu Li & Haichen Zhang & Linxing Zhao & Maqiang Xu & Changxian Qi & Qiang Gu & Yanhe Wang, 2025. "Spatiotemporal Simulation Prediction and Driving Force Analysis of Carbon Storage in the Sanjiangyuan Region Based on SSP-RCP Scenarios," Sustainability, MDPI, vol. 17(16), pages 1-26, August.
    5. Rong Leng & Quanzhi Yuan & Yushuang Wang & Qian Kuang & Ping Ren, 2020. "Carbon Balance of Grasslands on the Qinghai-Tibet Plateau under Future Climate Change: A Review," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    6. Cai, Weixiang & Xu, Li & Wen, Ding & Zhou, Zhiyong & Li, Mingxu & Wang, Tao & He, Nianpeng, 2025. "The carbon sequestration potential of vegetation over the Tibetan Plateau," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    7. Gang Li & Zhi Zhang & Linlu Shi & Yan Zhou & Meng Yang & Jiaxi Cao & Shuhong Wu & Guangchun Lei, 2018. "Effects of Different Grazing Intensities on Soil C, N, and P in an Alpine Meadow on the Qinghai—Tibetan Plateau, China," IJERPH, MDPI, vol. 15(11), pages 1-16, November.

    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. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    2. Muhammad, Shahbaz & Lean, Hooi Hooi & Muhammad, Shahbaz Shabbir, 2011. "Environmental Kuznets Curve and the role of energy consumption in Pakistan," MPRA Paper 34929, University Library of Munich, Germany, revised 22 Nov 2011.
    3. Yuling Sun & Junsong Jia & Min Ju & Chundi Chen, 2022. "Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically We," Land, MDPI, vol. 11(7), pages 1-26, July.
    4. Wiedmann, Thomas, 2009. "A first empirical comparison of energy Footprints embodied in trade -- MRIO versus PLUM," Ecological Economics, Elsevier, vol. 68(7), pages 1975-1990, May.
    5. Dong, Di & An, Haizhong & Huang, Shupei, 2017. "The transfer of embodied carbon in copper international trade: An industry chain perspective," Resources Policy, Elsevier, vol. 52(C), pages 173-180.
    6. Muhammad, Anees & Ishfaq, Ahmed, 2011. "Industrial development, agricultural growth, urbanization and environmental Kuznets curve in Pakistan," MPRA Paper 33469, University Library of Munich, Germany.
    7. Vinicius A. Vale & Fernando S. Perobelli & Ariaster B. Chimeli, 2018. "International trade, pollution, and economic structure: evidence on CO2 emissions for the North and the South," Economic Systems Research, Taylor & Francis Journals, vol. 30(1), pages 1-17, January.
    8. Amjad Ali & Marc Audi & Ismail Senturk & Yannick Roussel, 2022. "Do Sectoral Growth Promote CO2 Emissions in Pakistan? Time Series Analysis in Presence of Structural Break," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 410-425, March.
    9. Lee, Jaeseok & Yue, Chengyan, 2017. "Impacts of the US dollar (USD) exchange rate on economic growth and the environment in the United States," Energy Economics, Elsevier, vol. 64(C), pages 170-176.
    10. Gaohuan Liu & Zhonghe Zhao, 2018. "Analysis of Carbon Storage and Its Contributing Factors—A Case Study in the Loess Plateau (China)," Energies, MDPI, vol. 11(6), pages 1-18, June.
    11. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    12. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    13. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    14. Jianping Zha & Rong Fan & Yao Yao & Lamei He & Yuanyuan Meng, 2021. "Framework for accounting for tourism carbon emissions in China: An industrial linkage perspective," Tourism Economics, , vol. 27(7), pages 1430-1460, November.
    15. Najeh Bouchoucha, 2024. "Does Trade Openness and Environmental Quality Matter for Health Status? Evidence from African Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5729-5745, June.
    16. Tarancón, Miguel Angel & del Río, Pablo & Callejas Albiñana, Fernando, 2010. "Assessing the influence of manufacturing sectors on electricity demand. A cross-country input-output approach," Energy Policy, Elsevier, vol. 38(4), pages 1900-1908, April.
    17. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    18. Carvalho, Terciane Sabadini & Santiago, Flaviane Souza & Perobelli, Fernando Salgueiro, 2013. "International trade and emissions: The case of the Minas Gerais state — 2005," Energy Economics, Elsevier, vol. 40(C), pages 383-395.
    19. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    20. Qin Changcai & Liu Shulin, 2014. "On Complete Carbon Emission of China’s Industries Based on Input-Output Analysis," Journal of Systems Science and Information, De Gruyter, vol. 2(2), pages 97-110, April.

    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:10:y:2018:i:6:p:1864-:d:150522. 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.