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Purpose <p>This study examined the spatial distribution and storage of soil organic carbon (SOC) within the mangrove species <i>Avicennia marina</i> at four different sampling locations (Qulaan, Al Raadah, Hamata, and Wadi Lahmy) along the southern Red Sea coast of Egypt. These locations represented varying environmental conditions within the mangrove ecosystems. The goal was to create a model that could predict how the cumulative SOC stocks (SOC<sub><i>c</i></sub>) and volumetric SOC densities (SOC<sub><i>v</i></sub>) would be distributed throughout the respective soil profiles, accounting for depth variations.</p> Methods <p>The researchers used three mathematical models—allometric, exponential, and sigmoid—to analyze soil carbon data from 60 soil cores collected in this study, resulting in a total of 600 soil samples.</p> Results <p>The sigmoid model is the most effective for predicting SOC<sub><i>v</i></sub> in Qulaan, as it demonstrates the highest model efficiency (ME) along with the lowest values for mean normalized average error (MNAE), mean normalized bias (MNB), and root mean square error (RMSE). For Al Raadah, Hamata, and Wadi Lahmy, the exponential model is preferred for predicting SOC<sub><i>v</i></sub> due to its superior ME and lower MNAE, MNB, and RMSE values. In all four locations—Qulaan, Al Raadah, Hamata, and Wadi Lahmy—SOC<sub><i>c</i></sub> can be predicted using any of the three models, but the allometric model is favored because it has a higher ME and lower MNAE, MNB, and RMSE values.</p> Conclusion <p>This study contributes to a deeper understanding of SOC distribution in <i>A. marina</i> forests and provides valuable insights for future carbon stock assessments and conservation strategies.</p>

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Modeling of Soil Organic Carbon Distribution in Mangrove Forests along the Southern Egyptian Red Sea Coast

  • 期刊论文

  • 发表日期：

    2025年8月20日

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  • Ebrahem M. Eid,
  • Fadl A. Hashem,
  • Alaa A. Khalil,
  • Beelal A. A. Ali,
  • Abdelwahab A. Afefe,
  • Eman A. A. Ahmad,
  • Walaa N. A. Ibrahim,
  • Rania B. S. Badr,
  • Hossam H. Hammad

摘要

Purpose

This study examined the spatial distribution and storage of soil organic carbon (SOC) within the mangrove species Avicennia marina at four different sampling locations (Qulaan, Al Raadah, Hamata, and Wadi Lahmy) along the southern Red Sea coast of Egypt. These locations represented varying environmental conditions within the mangrove ecosystems. The goal was to create a model that could predict how the cumulative SOC stocks (SOCc) and volumetric SOC densities (SOCv) would be distributed throughout the respective soil profiles, accounting for depth variations.

Methods

The researchers used three mathematical models—allometric, exponential, and sigmoid—to analyze soil carbon data from 60 soil cores collected in this study, resulting in a total of 600 soil samples.

Results

The sigmoid model is the most effective for predicting SOCv in Qulaan, as it demonstrates the highest model efficiency (ME) along with the lowest values for mean normalized average error (MNAE), mean normalized bias (MNB), and root mean square error (RMSE). For Al Raadah, Hamata, and Wadi Lahmy, the exponential model is preferred for predicting SOCv due to its superior ME and lower MNAE, MNB, and RMSE values. In all four locations—Qulaan, Al Raadah, Hamata, and Wadi Lahmy—SOCc can be predicted using any of the three models, but the allometric model is favored because it has a higher ME and lower MNAE, MNB, and RMSE values.

Conclusion

This study contributes to a deeper understanding of SOC distribution in A. marina forests and provides valuable insights for future carbon stock assessments and conservation strategies.