IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v475y2023ics0304380022002836.html
   My bibliography  Save this article

Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model

Author

Listed:
  • Srinet, Ritika
  • Nandy, Subrata
  • Patel, N.R.
  • Padalia, Hitendra
  • Watham, Taibanganba
  • Singh, Sanjeev K.
  • Chauhan, Prakash

Abstract

The accurate quantification and monitoring of intra- and inter-annual variability of long-term forest carbon fluxes are imperative to understand the changes in the forest ecosystems in response to the changing climate. The present study aims to simulate forest carbon fluxes in two major plant functional types (PFTs) of northwest Himalayan (NWH) foothills of India by integrating time-series remote sensing (RS) data into Biome-Biogeochemical Cycle (Biome-BGC), a process-based model, and to study the spatio-temporal variability of carbon fluxes. The parameterization of the Biome-BGC model was carried out using the data from two Eddy covariance (EC) flux tower sites located in the NWH foothills of India. An analysis was carried out to identify the sensitive parameters and their calibration was performed. The calibrated Biome-BGC model with a higher coefficient of determination (R2) and%RMSE for moist deciduous (R2 = 0.80, %RMSE = 13.24) and dry deciduous (R2 = 0.79, %RMSE = 13.85) PFTs was used to estimate the gross primary productivity (GPP) from 2001 to 2018. However, the range of model-simulated leaf area index (LAI) was found to be lower than the field observed LAI. Integrating satellite-based Global Land Surface Satellite (GLASS) LAI into the Biome-BGC model led to substantial improvement in GPP estimates of moist deciduous (R2 = 0.87, %RMSE = 11.12) and dry deciduous PFTs (R2 = 0.86, %RMSE = 10.38) when compared to EC tower-based GPP for the year 2018. Based upon the accuracy, GLASS LAI integrated Biome-BGC model was used to map the spatio-temporal variability of forest carbon fluxes. The study highlighted that integration of RS data into calibrated process-based model increased the accuracy of model-simulated forest carbon fluxes.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:475:y:2023:i:c:s0304380022002836
    DOI: 10.1016/j.ecolmodel.2022.110185
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022002836
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.110185?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. Raj, R. & Hamm, N.A.S. & van der Tol, C. & Stein, A., 2014. "Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production," Ecological Modelling, Elsevier, vol. 292(C), pages 26-36.
    3. A. P. Ballantyne & C. B. Alden & J. B. Miller & P. P. Tans & J. W. C. White, 2012. "Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years," Nature, Nature, vol. 488(7409), pages 70-72, August.
    4. Qifei Han & Geping Luo & Chaofan Li & Shoubo Li, 2018. "Response of Carbon Dynamics to Climate Change Varied among Different Vegetation Types in Central Asia," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    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. 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.
    2. Zhihua Liu & John S. Kimball & Ashley P. Ballantyne & Nicholas C. Parazoo & Wen J. Wang & Ana Bastos & Nima Madani & Susan M. Natali & Jennifer D. Watts & Brendan M. Rogers & Philippe Ciais & Kailiang, 2022. "Respiratory loss during late-growing season determines the net carbon dioxide sink in northern permafrost regions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    3. Zefeng Chen & Weiguang Wang & Giovanni Forzieri & Alessandro Cescatti, 2024. "Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    4. Rebecca Peters & Jürgen Berlekamp & Ana Lucía & Vittoria Stefani & Klement Tockner & Christiane Zarfl, 2021. "Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)," Sustainability, MDPI, vol. 13(3), pages 1-18, February.
    5. Nicholas A S Hamm & Ricardo J Soares Magalhães & Archie C A Clements, 2015. "Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(12), pages 1-24, December.
    6. 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.
    7. Pires, José C.M., 2017. "COP21: The algae opportunity?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 867-877.
    8. 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.
    9. Altanshagai Batmunkh & Agus Dwi Nugroho & Maria Fekete-Farkas & Zoltan Lakner, 2022. "Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    10. Kalyan Annamalai, 2024. "Breathing Planet Earth: Analysis of Keeling’s Data on CO 2 and O 2 with Respiratory Quotient (RQ), Part I: Global Respiratory Quotient (RQ Glob ) of Earth," Energies, MDPI, vol. 17(2), pages 1-35, January.
    11. 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.
    12. Junyi Liu & Zhixiang Wu & Siqi Yang & Chuan Yang, 2022. "Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem: A Case Study of Hainan Island, China," IJERPH, MDPI, vol. 19(21), pages 1-13, October.
    13. A. Rashedi & Taslima Khanam & Mirjam Jonkman, 2020. "On Reduced Consumption of Fossil Fuels in 2020 and Its Consequences in Global Environment and Exergy Demand," Energies, MDPI, vol. 13(22), pages 1-14, November.
    14. 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.
    15. Yue Li & Paulo M. Brando & Douglas C. Morton & David M. Lawrence & Hui Yang & James T. Randerson, 2022. "Deforestation-induced climate change reduces carbon storage in remaining tropical forests," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    16. Bhattarai, Keshav & Adhikari, Ambika P., 2023. "Promoting Urban Farming for Creating Sustainable Cities in Nepal," SocArXiv xz4t7, Center for Open Science.
    17. Langholz, Jeff A. & Abeles, Adina, 2014. "Rethinking postgraduate education for marine conservation," Marine Policy, Elsevier, vol. 43(C), pages 372-375.
    18. Peng Cai & Chaofan Li & Geping Luo & Chi Zhang & Friday Uchenna Ochege & Steven Caluwaerts & Lesley De Cruz & Rozemien De Troch & Sara Top & Piet Termonia & Philippe De Maeyer, 2020. "The Responses of the Ecosystems in the Tianshan North Slope under Multiple Representative Concentration Pathway Scenarios in the Middle of the 21st Century," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    19. David Rowell & Catherine Senior & Michael Vellinga & Richard 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.
    20. Dale Jamieson, 2013. "Some whats, whys and worries of geoengineering," Climatic Change, Springer, vol. 121(3), pages 527-537, December.

    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:475:y:2023:i:c:s0304380022002836. 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.