Estimating Tree Biomass in Borana Woodland: A New Approach #sciencefather #researcher #biomass

 

Aboveground Biomass Models for Common Woody Species of Lowland Forest in Borana Woodland, Southern Ethiopia

🌱 Introduction

Aboveground biomass (AGB) models are essential tools for assessing vegetation conditions, estimating carbon stocks, and understanding the availability of forest and rangeland products. However, such models often fail when applied outside their original region or species group.

To address this, researchers conducted a focused study in Borana woodland, southern Ethiopia, aiming to develop location- and species-specific biomass models. The goal was to improve prediction accuracy and support better forest resource management in this ecologically unique area.

🧪 Study Overview

• 🔍 Sample Size: 114 destructively sampled trees

• 🌳 Species: Five common woody species from Borana woodland

• 📏 Measured Variables:

  • Diameter at breast height (DBH)

  • Total tree height

  • Wood basic density (ρ)

  • Crown area (CA)

  • Crown diameter (CD)

📊 Model Development

Two types of biomass estimation models were created:

1. Multispecies Model

   • Combines data from all species

   • Useful for general predictions in mixed stands

2. Species-Specific Models

   • Tailored for each of the five species

   • Provide higher accuracy by accounting for species traits

🔑 Key Findings

• 🌿 Biomass Allocation:

  • Most of the biomass was found in branches, followed by stems, then twigs.

• 📈 Best Predictors:

  • Tree diameter (DBH): Strongest single predictor

  • Wood basic density (ρ): Significantly improved model accuracy

  • Crown diameter (CD): Important in estimating canopy volume and related biomass

  • Tree height: Had a minimal effect on prediction when used alone

• ⚖️ Component Predictability:

  • Stem biomass: More predictable

  • Twig biomass: Least predictable due to structural variation

• 📉 Improved Accuracy:

  • The newly developed models significantly reduced prediction errors compared to existing generic models

  • Models reflect the local ecological and bioclimatic conditions of the Borana lowlands

✅ Conclusion

This study demonstrates the importance of using region- and species-specific models for accurate aboveground biomass estimation, especially in biodiverse and climate-sensitive regions like Borana.

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