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<p>This research explored the distribution and storage of soil organic carbon (SOC) under three plant species: <i>Aeluropus littoralis</i> (Gouan) Parl., <i>Cressa cretica</i> L., and <i>Zygophyllum coccineum</i> L., across nine sabkha sites along Saudi Arabia’s southern Red Sea coast. Three statistical formulas – allometric, exponential, and sigmoid – were employed on soil carbon data obtained from 21 soil cores, which equated to 210 soil samples per plant species. The objective was to develop models that could predict the distribution of volumetric SOC density (SOC<sub><i>v</i></sub>, measured in kg C/m<sup>3</sup>) and cumulative SOC stocks (SOC<sub><i>c</i></sub>, measured in kg C/m<sup>2</sup>) for each plant species at different depths in the soil profile. SOC<sub><i>v</i></sub> in <i>A. littoralis</i> and <i>C. cretica</i> can be modeled using the allometric formula. SOC<sub><i>v</i></sub> in <i>Z. coccineum</i> can be modeled using the allometric formula, with the exponential formula being the preferred choice due to its lower mean normalized average error (MNAE) value. In <i>A. littoralis</i>, <i>C. cretica</i>, and <i>Z. coccineum</i>, SOC<sub><i>c</i></sub> can be modeled using any of the three formulas, with the allometric formula being the preferred choice due to its lower MNAE values. All three plant species exhibited topsoil concentration factors (TCFs) exceeding 0.10, indicating surface soil carbon enrichment as a consequence of plant cycles. The findings of this study will greatly improve our comprehension of how SOC is distributed across coastal sabkha ecosystems, allowing us to forecast future carbon stocks for conservation, restoration, and preservation endeavors.</p>

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Modeling Soil Organic Carbon Distribution in Coastal Sabkhas: A Comparative Study of Three Plant Species

  • 期刊论文

  • 发表日期：

    2025年2月17日

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  • Kholoud Y. A. Shari,
  • Sulaiman A. Alrumman,
  • Ebrahem M. Eid

摘要

This research explored the distribution and storage of soil organic carbon (SOC) under three plant species: Aeluropus littoralis (Gouan) Parl., Cressa cretica L., and Zygophyllum coccineum L., across nine sabkha sites along Saudi Arabia’s southern Red Sea coast. Three statistical formulas – allometric, exponential, and sigmoid – were employed on soil carbon data obtained from 21 soil cores, which equated to 210 soil samples per plant species. The objective was to develop models that could predict the distribution of volumetric SOC density (SOCv, measured in kg C/m3) and cumulative SOC stocks (SOCc, measured in kg C/m2) for each plant species at different depths in the soil profile. SOCv in A. littoralis and C. cretica can be modeled using the allometric formula. SOCv in Z. coccineum can be modeled using the allometric formula, with the exponential formula being the preferred choice due to its lower mean normalized average error (MNAE) value. In A. littoralis, C. cretica, and Z. coccineum, SOCc can be modeled using any of the three formulas, with the allometric formula being the preferred choice due to its lower MNAE values. All three plant species exhibited topsoil concentration factors (TCFs) exceeding 0.10, indicating surface soil carbon enrichment as a consequence of plant cycles. The findings of this study will greatly improve our comprehension of how SOC is distributed across coastal sabkha ecosystems, allowing us to forecast future carbon stocks for conservation, restoration, and preservation endeavors.