IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v16y2012i2p1291-1299.html
   My bibliography  Save this article

Carbon sequestration by forestation across China: Past, present, and future

Author

Listed:
  • Huang, Lin
  • Liu, Jiyuan
  • Shao, Quanqin
  • Xu, Xinliang

Abstract

Plantation forests are the most effective and ecologically friendly way of absorbing CO2 and increasing carbon sinks in terrestrial ecosystems; mitigating global warming and beginning ecological restoration. China's forestation rate is the highest in the world, and contributes significantly to the nation's carbon sequestration. We have applied empirical growth curves, scale transformations, field sampling plots, and forest inventory data, to our carbon estimation model, to analyze the carbon sequestration in living biomass and soil organic carbon pools in past and current plantations. Furthermore, the potential carbon sinks of future plantations, 2010–2050, have been simulated. From 1950 to the present, plantations in China sequestered 1.686PgC by net uptake into biomass and emissions of soil organic carbon. The carbon stock of China's present plantations was 7.894PgC, including 21.4% of the total sequestration as forest biomass and 78.6% as SOC. We project that China's forestation activities will continue to net sequester carbon to a level of 3.169PgC by 2050, and that carbon stock in plantations will amount to 10.395PgC. Spatial patterns of carbon sequestration were dissimilar to those of planting area. On the basis of area, carbon sequestrations were highest in North China, while changes were generally greatest in the Northeast and Southwest regions.

Suggested Citation

  • Huang, Lin & Liu, Jiyuan & Shao, Quanqin & Xu, Xinliang, 2012. "Carbon sequestration by forestation across China: Past, present, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1291-1299.
  • Handle: RePEc:eee:rensus:v:16:y:2012:i:2:p:1291-1299
    DOI: 10.1016/j.rser.2011.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032111004825
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2011.10.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. W. A. Kurz & C. C. Dymond & G. Stinson & G. J. Rampley & E. T. Neilson & A. L. Carroll & T. Ebata & L. Safranyik, 2008. "Mountain pine beetle and forest carbon feedback to climate change," Nature, Nature, vol. 452(7190), pages 987-990, April.
    2. Daniel D. Richter & Daniel Markewitz & Susan E. Trumbore & Carol G. Wells, 1999. "Rapid accumulation and turnover of soil carbon in a re-establishing forest," Nature, Nature, vol. 400(6739), pages 56-58, July.
    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. Bone, Christopher, 2016. "A complex adaptive systems perspective of forest policy in China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 138-144.
    2. Hsueh, Sung-Lin, 2015. "Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1286-1295.
    3. Li, Jiasheng & Guo, Xiaomin & Chuai, Xiaowei & Xie, Fangjian & Yang, Feng & Gao, Runyi & Ji, Xuepeng, 2021. "Reexamine China’s terrestrial ecosystem carbon balance under land use-type and climate change," Land Use Policy, Elsevier, vol. 102(C).
    4. Nayab Komal & Qamar uz Zaman & Ghulam Yasin & Saba Nazir & Kamran Ashraf & Muhammad Waqas & Mubeen Ahmad & Ammara Batool & Imran Talib & Yinglong Chen, 2022. "Carbon Storage Potential of Agroforestry System near Brick Kilns in Irrigated Agro-Ecosystem," Agriculture, MDPI, vol. 12(2), pages 1-13, February.
    5. Chen, Jiandong & Wu, Yinyin & Song, Malin & Zhu, Zunhong, 2017. "Stochastic frontier analysis of productive efficiency in China's Forestry Industry," Journal of Forest Economics, Elsevier, vol. 28(C), pages 87-95.
    6. Wang, Nannan & Chang, Yen-Chiang, 2014. "The development of policy instruments in supporting low-carbon governance in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 126-135.
    7. Liudmila Tripolskaja & Asta Kazlauskaite-Jadzevice & Virgilijus Baliuckas & Almantas Razukas, 2021. "Natural and Managed Grasslands Productivity during Multiyear in Ex-Arable Lands (in the Context of Climate Change)," Agriculture, MDPI, vol. 11(3), pages 1-13, March.
    8. Li Wang & Jie Pei & Jing Geng & Zheng Niu, 2019. "Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective," Sustainability, MDPI, vol. 11(17), pages 1-27, August.

    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. Parolari, Anthony J. & Mobley, Megan L. & Bacon, Allan R. & Katul, Gabriel G. & Richter, Daniel deB. & Porporato, Amilcare, 2017. "Boom and bust carbon-nitrogen dynamics during reforestation," Ecological Modelling, Elsevier, vol. 360(C), pages 108-119.
    2. Metsaranta, J.M. & Kurz, W.A., 2012. "Inter-annual variability of ecosystem production in boreal jack pine forests (1975–2004) estimated from tree-ring data using CBM-CFS3," Ecological Modelling, Elsevier, vol. 224(1), pages 111-123.
    3. Parolari, Anthony J. & Porporato, Amilcare, 2016. "Forest soil carbon and nitrogen cycles under biomass harvest: Stability, transient response, and feedback," Ecological Modelling, Elsevier, vol. 329(C), pages 64-76.
    4. Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
    5. Sohngen, Brent & Tian, Xiaohui, 2016. "Global climate change impacts on forests and markets," Forest Policy and Economics, Elsevier, vol. 72(C), pages 18-26.
    6. Hefeng Wang & Yishao Shi & Anbing Zhang & Yuan Cao & Haixin Liu, 2017. "Does Suburbanization Cause Ecological Deterioration? An Empirical Analysis of Shanghai, China," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    7. Zhiyuan Xiang & Meifang Zhao & U. S. Ogbodo, 2020. "Accumulation of Urban Insect Pests in China: 50 Years’ Observations on Camphor Tree ( Cinnamomum camphora )," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    8. Chubaty, Alex M. & Roitberg, Bernard D. & Li, Chao, 2009. "A dynamic host selection model for mountain pine beetle, Dendroctonus ponderosae Hopkins," Ecological Modelling, Elsevier, vol. 220(9), pages 1241-1250.
    9. Bryan K. Mignone & Matthew D. Hurteau & Yihsu Chen & Brent Sohngen, 2009. "Carbon offsets, reversal risk and US climate policy," CAMA Working Papers 2009-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Patrick J. Comer & Jon C. Hak & Marion S. Reid & Stephanie L. Auer & Keith A. Schulz & Healy H. Hamilton & Regan L. Smyth & Matthew M. Kling, 2019. "Habitat Climate Change Vulnerability Index Applied to Major Vegetation Types of the Western Interior United States," Land, MDPI, vol. 8(7), pages 1-27, July.
    11. Keskitalo, E. Carina H. & Pettersson, Maria & Ambjörnsson, Emmeline Laszlo & Davis, Emily Jane, 2016. "Agenda-setting and framing of policy solutions for forest pests in Canada and Sweden: Avoiding beetle outbreaks?," Forest Policy and Economics, Elsevier, vol. 65(C), pages 59-68.
    12. Tomas Selecky & Sonoko D. Bellingrath-Kimura & Yuji Kobata & Masaaki Yamada & Iraê A. Guerrini & Helio M. Umemura & Dinaldo A. Dos Santos, 2017. "Changes in Carbon Cycling during Development of Successional Agroforestry," Agriculture, MDPI, vol. 7(3), pages 1-12, March.
    13. Ayaovi Locoh & Évelyne Thiffault & Simon Barnabé, 2022. "Sustainability Impact Assessment of Forest Bioenergy Value Chains in Quebec (Canada)—A ToSIA Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    14. Huang, Cho-ying & Asner, Gregory P. & Barger, Nichole N., 2012. "Modeling regional variation in net primary production of pinyon–juniper ecosystems," Ecological Modelling, Elsevier, vol. 227(C), pages 82-92.
    15. Thavasi, V. & Ramakrishna, S., 2009. "Asia energy mixes from socio-economic and environmental perspectives," Energy Policy, Elsevier, vol. 37(11), pages 4240-4250, November.
    16. Joan P. Casas-Ruiz & Pascal Bodmer & Kelly Ann Bona & David Butman & Mathilde Couturier & Erik J. S. Emilson & Kerri Finlay & Hélène Genet & Daniel Hayes & Jan Karlsson & David Paré & Changhui Peng & , 2023. "Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    17. Ronny Rotbarth & Egbert H. Nes & Marten Scheffer & Jane Uhd Jepsen & Ole Petter Laksforsmo Vindstad & Chi Xu & Milena Holmgren, 2023. "Northern expansion is not compensating for southern declines in North American boreal forests," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Dymond, Caren Christine & Giles-Hansen, Krysta & Asante, Patrick, 2020. "The forest mitigation-adaptation nexus: Economic benefits of novel planting regimes," Forest Policy and Economics, Elsevier, vol. 113(C).
    19. David Aadland & Charles Sims & David Finnoff, 2015. "Spatial Dynamics of Optimal Management in Bioeconomic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 545-577, April.
    20. Lyu, Rongfang & Zhao, Wenpeng & Pang, Jili & Tian, Xiaolei & Zhang, Jianming & Wang, Naiang, 2022. "Towards a sustainable nature reserve management: Using Bayesian network to quantify the threat of disturbance to ecosystem services," Ecosystem Services, Elsevier, vol. 58(C).

    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:eee:rensus:v:16:y:2012:i:2:p:1291-1299. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.