IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v304y2015icp69-83.html
   My bibliography  Save this article

Impacts of CO2 concentration and climate change on the terrestrial carbon flux using six global climate–carbon coupled models

Author

Listed:
  • Peng, Jing
  • Dan, Li

Abstract

Based on the simulations of the fifth phase of the Coupled Model Intercomparison Project (CMIP5), we estimated the response of net primary production (NPP) and net ecosystem production (NEP) to rising atmospheric CO2 concentration and climate change on global and regional scales. The modeled NPP and NEP significantly increased by about 0.4PgCyr−2 and 0.09PgCyr−2, respectively, in response to the rising atmospheric CO2 concentration. However, adverse trends of the two variables were driven by climate change on a global scale. Regarding the spatial pattern, the decreases were mainly located in tropical and temperate regions. Thus, the terrestrial carbon sink was accelerated not only by a rising atmospheric CO2 concentration, but also by global warming at high latitude and altitude regions, e.g. Tibet and Alaska. Although the simulations indicated increases of NPP and NEP owing to the CO2 fertilization effect, the strength of the trends significantly differed from the CMIP5 models. The enhanced trend in the terrestrial carbon sink simulated by MPI-ESM-LR was about 47 times larger than that simulated by CESM-BGC considering the CO2 fertilization effect. Differences in the modeled responses of NPP and NEP resulted from the various processes of the land surface component accounting for the nitrogen limitation effect and plant functional types (PFTs). We also found that the difference in the accelerating terrestrial carbon loss forced by global warming between CMIP5 models, ranged between 6.0TgCyr−2 in CESM-BGC and 52.7TgCyr−2 in MPI-ESM-LR. Such a divergence was partially responsible for the difference in the simulated climate between the CMIP5 models: the difference in increasing temperature was about 1.4K.

Suggested Citation

  • Peng, Jing & Dan, Li, 2015. "Impacts of CO2 concentration and climate change on the terrestrial carbon flux using six global climate–carbon coupled models," Ecological Modelling, Elsevier, vol. 304(C), pages 69-83.
  • Handle: RePEc:eee:ecomod:v:304:y:2015:i:c:p:69-83
    DOI: 10.1016/j.ecolmodel.2015.02.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015000721
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.02.016?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. Peter M. Cox & David Pearson & Ben B. Booth & Pierre Friedlingstein & Chris Huntingford & Chris D. Jones & Catherine M. Luke, 2013. "Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability," Nature, Nature, vol. 494(7437), pages 341-344, February.
    2. Peter B. Reich & Sarah E. Hobbie, 2013. "Decade-long soil nitrogen constraint on the CO2 fertilization of plant biomass," Nature Climate Change, Nature, vol. 3(3), pages 278-282, 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. Jing Peng & Li Dan & Jinming Feng & Kairan Ying & Xiba Tang & Fuqiang Yang, 2021. "Absolute Contribution of the Non-Uniform Spatial Distribution of Atmospheric CO 2 to Net Primary Production through CO 2 -Radiative Forcing," Sustainability, MDPI, vol. 13(19), pages 1-18, September.

    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. Parwati Sofan & Yenni Vetrita & Fajar Yulianto & Muhammad Khomarudin, 2016. "Multi-temporal remote sensing data and spectral indices analysis for detection tropical rainforest degradation: case study in Kapuas Hulu and Sintang districts, West Kalimantan, Indonesia," 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. 80(2), pages 1279-1301, January.
    2. Jing Peng & Li Dan & Jinming Feng & Kairan Ying & Xiba Tang & Fuqiang Yang, 2021. "Absolute Contribution of the Non-Uniform Spatial Distribution of Atmospheric CO 2 to Net Primary Production through CO 2 -Radiative Forcing," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    3. David P. Rowell & Catherine A. Senior & Michael Vellinga & Richard J. Graham, 2016. "Can climate projection uncertainty be constrained over Africa using metrics of contemporary performance?," Climatic Change, Springer, vol. 134(4), pages 621-633, February.
    4. Marcela Claudia Pagano & Eduardo J. Azevedo Correa & Neimar F. Duarte & Bakhytzhan Yelikbayev & Anthonia O’Donovan & Vijai Kumar Gupta, 2017. "Advances in Eco-Efficient Agriculture: The Plant-Soil Mycobiome," Agriculture, MDPI, vol. 7(2), pages 1-12, February.
    5. Pardey, Philip G. & Beddow, Jason M. & Hurley, Terrance M. & Beatty, Timothy K.M. & Eidman, Vernon R., 2014. "The International Agricultural Prospects Model: Assessing Consumption and Production Futures Through 2050 (version 2.1)," Staff Papers 182192, University of Minnesota, Department of Applied Economics.
    6. Xiangzhong Luo & Trevor F. Keenan, 2022. "Tropical extreme droughts drive long-term increase in atmospheric CO2 growth rate variability," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    7. T. Dirnböck & C. Foldal & I. Djukic & J. Kobler & E. Haas & R. Kiese & B. Kitzler, 2017. "Historic nitrogen deposition determines future climate change effects on nitrogen retention in temperate forests," Climatic Change, Springer, vol. 144(2), pages 221-235, September.
    8. Yanchun Liu & Qing Shang & Bo Zhang & Kesheng Zhang & Junwei Luan, 2017. "Effects of Understory Liana Trachelospermum jasminoides on Distributions of Litterfall and Soil Organic Carbon in an Oak Forest in Central China," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    9. Kailiang Yu & Philippe Ciais & Sonia I. Seneviratne & Zhihua Liu & Han Y. H. Chen & Jonathan Barichivich & Craig D. Allen & Hui Yang & Yuanyuan Huang & Ashley P. Ballantyne, 2022. "Field-based tree mortality constraint reduces estimates of model-projected forest carbon sinks," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    10. Srinet, Ritika & Nandy, Subrata & Patel, N.R. & Padalia, Hitendra & Watham, Taibanganba & Singh, Sanjeev K. & Chauhan, Prakash, 2023. "Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model," Ecological Modelling, Elsevier, vol. 475(C).
    11. Lihan Cui & Wenwen Tang & Sheng Zheng & Ramesh P. Singh, 2022. "Ecological Protection Alone Is Not Enough to Conserve Ecosystem Carbon Storage: Evidence from Guangdong, China," Land, MDPI, vol. 12(1), pages 1-16, December.
    12. Parwati Sofan & Yenni Vetrita & Fajar Yulianto & Muhammad Rokhis Khomarudin, 2016. "Multi-temporal remote sensing data and spectral indices analysis for detection tropical rainforest degradation: case study in Kapuas Hulu and Sintang districts, West Kalimantan, Indonesia," 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. 80(2), pages 1279-1301, January.
    13. Marcelo Sthel & José Glauco Tostes & Juliana Tavares, 2013. "Sustainable Complex Triangular Cells for the Evaluation of CO 2 Emissions by Individuals instead of Nations in a Scenario for 2030," Sustainability, MDPI, vol. 5(5), pages 1-16, May.
    14. In-Hong Park & Sang-Wook Yeh & Wenju Cai & Guojian Wang & Seung-Ki Min & Sang-Ki Lee, 2023. "Present-day North Atlantic salinity constrains future warming of the Northern Hemisphere," Nature Climate Change, Nature, vol. 13(8), pages 816-822, August.
    15. Timothy M. Lenton & Jesse F. Abrams & Annett Bartsch & Sebastian Bathiany & Chris A. Boulton & Joshua E. Buxton & Alessandra Conversi & Andrew M. Cunliffe & Sophie Hebden & Thomas Lavergne & Benjamin , 2024. "Remotely sensing potential climate change tipping points across scales," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    16. Jie Lu & Fengqin Yan, 2023. "The Divergent Resistance and Resilience of Forest and Grassland Ecosystems to Extreme Summer Drought in Carbon Sequestration," Land, MDPI, vol. 12(9), pages 1-17, August.
    17. Kai Wang & Ana Bastos & Philippe Ciais & Xuhui Wang & Christian Rödenbeck & Pierre Gentine & Frédéric Chevallier & Vincent W. Humphrey & Chris Huntingford & Michael O’Sullivan & Sonia I. Seneviratne, 2022. "Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    18. Fei Xue & Yi’na Hu, 2024. "Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China," Sustainability, MDPI, vol. 16(14), pages 1-14, July.
    19. Yan Yu & Jiafu Mao & Stan D. Wullschleger & Anping Chen & Xiaoying Shi & Yaoping Wang & Forrest M. Hoffman & Yulong Zhang & Eric Pierce, 2022. "Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    20. Mark J. Hovenden & Paul C. D. Newton, 2018. "Variability in precipitation seasonality limits grassland biomass responses to rising CO2: historical and projected climate analyses," Climatic Change, Springer, vol. 149(2), pages 219-231, July.

    More about this item

    Keywords

    NPP; NEP; Climate change; Increasing CO2 concentration;
    All these keywords.

    JEL classification:

    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:eee:ecomod:v:304:y:2015:i:c:p:69-83. 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.journals.elsevier.com/ecological-modelling .

    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.