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Estimating carbon sequestration in orchards of semi-arid tropics: A modeling approach.

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Title: Estimating carbon sequestration in orchards of semi-arid tropics: A modeling approach.
Authors: Siddesh, R1,2 (AUTHOR), Pathak, H.1,3 (AUTHOR), Chavan, S.B.1 (AUTHOR) sangramc8@gmail.com, Kakade, V.D.1 (AUTHOR), Salunkhe, S.S.4 (AUTHOR), Uthappa, A.R.5 (AUTHOR), Paul, N.1 (AUTHOR), Halli, H.M.1 (AUTHOR), Reddy, K.S.1 (AUTHOR)
Source: Biomass & Bioenergy. Mar2026, Vol. 206, pN.PAG-N.PAG. 1p.
Subjects: Carbon sequestration, Orchards, Allometric equations, Mango, Coconut, Pomegranate, Biomass estimation, Arid regions
Geographic Terms: India
Abstract: Carbon mapping through allometric equations and default factors offers a precise, non-destructive approach for quantifying biomass and carbon stocks, essential for greenhouse gas mitigation in agroecosystems. Despite the significant potential of fruit orchards to mitigate greenhouse gas emissions and enhance carbon sequestration, few studies have focused on developing allometric models specifically for these systems. Hence, this study focuses on carbon sequestration potential, along with allometry model and conversion factors, for mango, coconut, and pomegranate orchards established on degraded lands. Biomass components were destructively sampled, sorted, dried, and analyzed. Among the species, mango exhibited the highest biomass, followed by pomegranate and coconut. Default factors were developed for non-destructive biomass estimation under the IPCC Tier-II methodology. Average carbon content was 42.01 % (mango), 42.73 % (pomegranate), and 39.84 % (coconut). The total carbon stock was highest in mango orchards (28.30 Mg C ha−1), followed by pomegranate and coconut. Similarly, mango recorded the highest carbon sequestration rate (3.37 Mg C ha−1 yr−1), with comparatively lower rates in pomegranate and coconut. Collar diameter was identified as the most reliable predictor for mango and pomegranate biomass, while DBH2 × H was optimal for coconut. The Gompertz model best fitted the mango and pomegranate data, while the Chapman model was optimal for coconut, as confirmed by independent validation and standard model selection criteria. These findings highlight the role of fruit-based systems in supporting India's Nationally Determined Contribution (NDC) targets by enhancing carbon stocks (aiming to create an additional 2.5–3 billion tonnes of CO 2 equivalent sink by 2030), reducing GHG emission intensity (by 45 % of GDP by 2030), and unlocking carbon credit potential under changing climate conditions. To realize this potential, robust, species- and site-specific MRV protocols is essential, as their accuracy determines carbon payments and the achievement of realistic mitigation goals. [Display omitted] • Developed allometric models for mango, coconut, and pomegranate for precise biomass estimation. • Mango exhibits the highest carbon sequestration (3.77 MgC/ha/yr), followed by pomegranate and coconut. • Generated default factors like R/S ratios, wood density, BEF and carbon content for carbon management. • Supports Monitoring Reporting Verification protocols for non-destructive carbon assessment at regional and national scales. • Study aligns with India's GROW initiative and Green Credit Program for land degradation nutrality [ABSTRACT FROM AUTHOR]
Copyright of Biomass & Bioenergy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 191323037
AccessLevel: 6
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PubTypeId: academicJournal
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  Data: Estimating carbon sequestration in orchards of semi-arid tropics: A modeling approach.
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  Data: <searchLink fieldCode="DE" term="%22Carbon+sequestration%22">Carbon sequestration</searchLink><br /><searchLink fieldCode="DE" term="%22Orchards%22">Orchards</searchLink><br /><searchLink fieldCode="DE" term="%22Allometric+equations%22">Allometric equations</searchLink><br /><searchLink fieldCode="DE" term="%22Mango%22">Mango</searchLink><br /><searchLink fieldCode="DE" term="%22Coconut%22">Coconut</searchLink><br /><searchLink fieldCode="DE" term="%22Pomegranate%22">Pomegranate</searchLink><br /><searchLink fieldCode="DE" term="%22Biomass+estimation%22">Biomass estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Arid+regions%22">Arid regions</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Carbon mapping through allometric equations and default factors offers a precise, non-destructive approach for quantifying biomass and carbon stocks, essential for greenhouse gas mitigation in agroecosystems. Despite the significant potential of fruit orchards to mitigate greenhouse gas emissions and enhance carbon sequestration, few studies have focused on developing allometric models specifically for these systems. Hence, this study focuses on carbon sequestration potential, along with allometry model and conversion factors, for mango, coconut, and pomegranate orchards established on degraded lands. Biomass components were destructively sampled, sorted, dried, and analyzed. Among the species, mango exhibited the highest biomass, followed by pomegranate and coconut. Default factors were developed for non-destructive biomass estimation under the IPCC Tier-II methodology. Average carbon content was 42.01 % (mango), 42.73 % (pomegranate), and 39.84 % (coconut). The total carbon stock was highest in mango orchards (28.30 Mg C ha−1), followed by pomegranate and coconut. Similarly, mango recorded the highest carbon sequestration rate (3.37 Mg C ha−1 yr−1), with comparatively lower rates in pomegranate and coconut. Collar diameter was identified as the most reliable predictor for mango and pomegranate biomass, while DBH2 × H was optimal for coconut. The Gompertz model best fitted the mango and pomegranate data, while the Chapman model was optimal for coconut, as confirmed by independent validation and standard model selection criteria. These findings highlight the role of fruit-based systems in supporting India's Nationally Determined Contribution (NDC) targets by enhancing carbon stocks (aiming to create an additional 2.5–3 billion tonnes of CO 2 equivalent sink by 2030), reducing GHG emission intensity (by 45 % of GDP by 2030), and unlocking carbon credit potential under changing climate conditions. To realize this potential, robust, species- and site-specific MRV protocols is essential, as their accuracy determines carbon payments and the achievement of realistic mitigation goals. [Display omitted] • Developed allometric models for mango, coconut, and pomegranate for precise biomass estimation. • Mango exhibits the highest carbon sequestration (3.77 MgC/ha/yr), followed by pomegranate and coconut. • Generated default factors like R/S ratios, wood density, BEF and carbon content for carbon management. • Supports Monitoring Reporting Verification protocols for non-destructive carbon assessment at regional and national scales. • Study aligns with India's GROW initiative and Green Credit Program for land degradation nutrality [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Biomass & Bioenergy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.biombioe.2025.108610
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Carbon sequestration
        Type: general
      – SubjectFull: Orchards
        Type: general
      – SubjectFull: Allometric equations
        Type: general
      – SubjectFull: Mango
        Type: general
      – SubjectFull: Coconut
        Type: general
      – SubjectFull: Pomegranate
        Type: general
      – SubjectFull: Biomass estimation
        Type: general
      – SubjectFull: Arid regions
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: Estimating carbon sequestration in orchards of semi-arid tropics: A modeling approach.
        Type: main
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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