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Estimating biomass production and carbon sequestration of poplar-based agroforestry systems in India

Author

Listed:
  • S. B. Chavan

    (CCS Haryana Agricultural University
    ICAR-National Institute of Abiotic Stress Management)

  • R. S. Dhillon

    (CCS Haryana Agricultural University)

  • Ajit

    (ICAR-Indian Agricultural Statistics Research Institute)

  • R. H. Rizvi

    (RRS, ICAR-Central Soil Salinity Research Institute)

  • Chhavi Sirohi

    (CCS Haryana Agricultural University)

  • A. K. Handa

    (ICAR-Central Agroforestry Research Institute)

  • K. K. Bharadwaj

    (CCS Haryana Agricultural University)

  • Vishal Johar

    (CCS Haryana Agricultural University)

  • Tarun Kumar

    (CCS Haryana Agricultural University)

  • Pradyuman Singh

    (CCS Haryana Agricultural University)

  • Vijay Daneva

    (CCS Haryana Agricultural University)

  • Sushil Kumari

    (CCS Haryana Agricultural University)

Abstract

This study was conducted on 79 harvested poplar trees of eight-years-old planted at five spacing geometries (5 × 4 m, 10 × 2 m, 18 × 2 × 2 m, North–South and East–West boundary) to construct component-wise dry biomass (above + below ground) equations for estimating biomass & carbon sequestered. The complete data were randomly divided into two mutually exclusive and independent sets viz estimation-set (80%) to fit the model and validation-set (20%) to ascertain accuracy of the fitted model. DBH was found to be the most appropriate independent variate to construct best-fit biomass equations with growth attributes. Among various attempted functions (linear, allometric, logistic, Gompertz, Chapman and exponential), allometric function i.e., Total Biomass = 0.2575*DBH(2.191) (R2Adj = 0.97, RMS = 925.71 and AIC = 427.87) was found to be the best-fit. The total dry biomass production of poplar varied from 69.90 to 207.98 Mg ha−1 in aboveground and 13.46 to 36.69 Mg ha−1 in belowground in five planting geometries. Total carbon storage (above + below ground) under various spacings viz 5 × 4 m, 10 × 2 m, 18 × 2 × 2 m, North–South and East–West boundary poplar were 112.48, 101.80, 84.87, 77.28 and 38.84 Mg C ha−1, respectively. The carbon sequestration rate was observed to be higher in 5 × 4 m (14.09 Mg C ha−1 yr−1) closely followed by 10 × 2 m (12.61 Mg C ha−1 yr−1), 18 × 2 × 2 m (10.50 Mg C ha−1 yr−1),E–West (9.56 Mg C ha−1 yr−1) and North–South plantation (4.80 Mg C ha−1 yr−1). Keeping in view, regionally derived allometric equations contribute to limiting the uncertainty in the estimation of biomass and carbon sequestration, which may be helpful to monitoring, reporting and verification (MRV) needs in carbon management policies.

Suggested Citation

  • S. B. Chavan & R. S. Dhillon & Ajit & R. H. Rizvi & Chhavi Sirohi & A. K. Handa & K. K. Bharadwaj & Vishal Johar & Tarun Kumar & Pradyuman Singh & Vijay Daneva & Sushil Kumari, 2022. "Estimating biomass production and carbon sequestration of poplar-based agroforestry systems in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13493-13521, December.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:12:d:10.1007_s10668-021-01996-8
    DOI: 10.1007/s10668-021-01996-8
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    References listed on IDEAS

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    1. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    2. Bojana Bajželj & Keith S. Richards & Julian M. Allwood & Pete Smith & John S. Dennis & Elizabeth Curmi & Christopher A. Gilligan, 2014. "Importance of food-demand management for climate mitigation," Nature Climate Change, Nature, vol. 4(10), pages 924-929, October.
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    1. Andrzej Rostocki & Dorota Wieczorek & Paulina Pipiak & Katarzyna Ławińska, 2024. "Use of Biostimulants in Energy Crops as a New Approach for the Improvement of Performance Sequestration CO 2," Energies, MDPI, vol. 17(12), pages 1-23, June.
    2. Jaafari, Abolfazl, 2023. "Mapping high poplar growth areas for bioenergy cultivation: A swarm-optimized approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    3. Sanjani Salunkhe & Sachin Nandgude & Mukesh Tiwari & Harshal Bhange & Sangram B. Chavan, 2023. "Land Suitability Planning for Sustainable Mango Production in Vulnerable Region Using Geospatial Multi-Criteria Decision Model," Sustainability, MDPI, vol. 15(3), pages 1-18, February.

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