Biomass estimation equations for mesquite trees in the Americas

Area of Science:

• Ecology
• Forestry
• Biomass Estimation

Background:

• Mesquite trees are crucial dendroenergy sources in arid and semi-arid ecosystems.
• Existing regional aboveground biomass (AGB) equations for mesquite are limited.
• Accurate AGB estimation is vital for understanding forest carbon dynamics and sustainable management.

Purpose of the Study:

• Develop new regional aboveground biomass (AGB) equations for mesquite trees.
• Compare new data with existing biomass equations.
• Validate the applicability of the developed equation across the Americas.

Main Methods:

• Harvested 206 mesquite trees from northern Mexico.
• Integrated existing datasets from Mexico (N=304) to create a comprehensive dataset.
• Developed and statistically validated a regional semi-empirical biomass equation.

Main Results:

• A single, regional, semi-empirical equation was identified as necessary.
• The developed equation effectively represents mesquite AGB variability in northern Mexico.
• The equation encompasses and is representative of mesquite trees across arid and semi-arid regions of the Americas.

Conclusions:

• The new regional biomass equation provides a robust tool for estimating mesquite AGB.
• This equation improves biomass assessment in arid and semi-arid forests throughout the Americas.
• The findings support improved forest inventory and carbon stock assessments for mesquite ecosystems.