IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v481y2023ics0304380023000686.html
   My bibliography  Save this article

Very high-resolution Net Ecosystem Exchange over India using Vegetation Photosynthesis and Respiration Model (VPRM) simulations

Author

Listed:
  • Raju, Anjumol
  • Sijikumar, S.
  • Deb Burman, Pramit Kumar
  • Valsala, Vinu
  • Tiwari, Yogesh K.
  • Mukherjee, Sandipan
  • Lohani, Priyanka
  • Kumar, Kireet

Abstract

The terrestrial biosphere has a crucial role in controlling the rate of CO2 accumulation in the atmosphere. The quantification of Net Ecosystem Exchange (NEE) is critical to determine whether the regional terrestrial ecosystem is a net sink or source of CO2. This study uses a satellite-data derived light-use-efficiency model (the Vegetation Photosynthesis and Respiration Model, VPRM) to compute the biospheric CO2 fluxes over India from 2011–2020. A very high-resolution Land Use-Land Cover (LULC) data from the IRS-P6 satellite and MODIS derived surface reflectance are utilised to compute the NEE over distinct vegetation types at ∼9km× 9 km. The VPRM model for the Indian region captures the spatial pattern and seasonal features of NEE over the country. The magnitude of annual mean NEE over India from the VPRM model is relatively high compared to that from Carbon Tracker, FLUXCOM, and Soil Moisture Active Passive Level-4 carbon data products. However, the VPRM model simulated NEE agrees with the NEE observations from the eddy covariance estimates, which are accepted as the ground truth. The fusion of high-resolution LULC and surface reflectance data in VPRM suggests that the average NEE over the Indian region during 2011–2020 is −0.16 ± 0.02 PgC yr−1. Among this, the contribution from Gross Ecosystem Exchange is about −0.47 ± 0.02 PgC yr−1, and Respiration is 0.31 ± 0.01 PgC yr−1. The maximum biospheric CO2 absorption is during the post-monsoon season, and the minimum is during the pre-monsoon season. The very high spatial resolution and heterogeneity resolved in the NEE data derived in this work offer the first data product of this kind for a variety of NEE analyses over India.

Suggested Citation

  • Raju, Anjumol & Sijikumar, S. & Deb Burman, Pramit Kumar & Valsala, Vinu & Tiwari, Yogesh K. & Mukherjee, Sandipan & Lohani, Priyanka & Kumar, Kireet, 2023. "Very high-resolution Net Ecosystem Exchange over India using Vegetation Photosynthesis and Respiration Model (VPRM) simulations," Ecological Modelling, Elsevier, vol. 481(C).
    • Handle: RePEc:eee:ecomod:v:481:y:2023:i:c:s0304380023000686
    DOI: 10.1016/j.ecolmodel.2023.110340
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023000686
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110340?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. Kamaljit Banger & Hanqin Tian & Bo Tao & Wei Ren & Shufen Pan & Shree Dangal & Jia Yang, 2015. "Terrestrial net primary productivity in India during 1901–2010: contributions from multiple environmental changes," Climatic Change, Springer, vol. 132(4), pages 575-588, October.
    2. John Grace & Mark Rayment, 2000. "Respiration in the balance," Nature, Nature, vol. 404(6780), pages 819-820, April.
    3. R. L. Thompson & P. K. Patra & F. Chevallier & S. Maksyutov & R. M. Law & T. Ziehn & I. T. van der Laan-Luijkx & W. Peters & A. Ganshin & R. Zhuravlev & T. Maki & T. Nakamura & T. Shirai & M. Ishizawa, 2016. "Top–down assessment of the Asian carbon budget since the mid 1990s," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
    Full references (including those not matched with items on IDEAS)

    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. Jiang, Suqin & Chen, Zun & Shan, Li & Chen, Xinyu & Wang, Haikun, 2017. "Committed CO2 emissions of China's coal-fired power generators from 1993 to 2013," Energy Policy, Elsevier, vol. 104(C), pages 295-302.
    2. Shuai Qin & Hong Chen & Haokun Wang, 2021. "Spatial–Temporal Heterogeneity and Driving Factors of Rural Residents’ Food Consumption Carbon Emissions in China—Based on an ESDA-GWR Model," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    3. Karel Janda & Binyi Zhang, 2022. "The Impact of Renewable Energy and Technology Innovation on Chinese Carbon Dioxide Emissions," Springer Proceedings in Business and Economics, in: David Procházka (ed.), Regulation of Finance and Accounting, chapter 0, pages 177-189, Springer.
    4. Chunbo Chen & Chi Zhang, 2017. "Projecting the CO 2 and Climatic Change Effects on the Net Primary Productivity of the Urban Ecosystems in Phoenix, AZ in the 21st Century under Multiple RCP (Representative Concentration Pathway) Sce," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    5. Zhen Yu & Philippe Ciais & Shilong Piao & Richard A. Houghton & Chaoqun Lu & Hanqin Tian & Evgenios Agathokleous & Giri Raj Kattel & Stephen Sitch & Daniel Goll & Xu Yue & Anthony Walker & Pierre Frie, 2022. "Forest expansion dominates China’s land carbon sink since 1980," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Feng, Tong & Du, Huibin & Zhang, Zengkai & Mi, Zhifu & Guan, Dabo & Zuo, Jian, 2020. "Carbon transfer within China: Insights from production fragmentation," Energy Economics, Elsevier, vol. 86(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:ecomod:v:481:y:2023:i:c:s0304380023000686. 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.