Abstract

Author:
Habtamu Achenef Tesema

Doi: 10.26480/efcc.01.2025.01.07

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

This paper comprehensively reviews global perspectives on allometric models used to estimate bamboo biomass. The review aims to summarize key findings, evaluate the effectiveness of various allometric equations, and highlight advancements in modeling techniques. We assess the application of these models across different bamboo species and regions, focusing on their roles in forest management, carbon sequestration, sustainable agriculture, and bioenergy production. By analyzing case studies from diverse geographic locations, we identify common challenges and limitations, such as model accuracy and data availability. The review also discusses recent innovations, including the integration of remote sensing, machine learning, and GIS technologies, which enhance biomass estimation precision. Our findings underscore the need for region-specific models and propose a framework for combining traditional methods with modern technological approaches. The paper concludes with recommendations for future research to improve model applicability and support better environmental management and policy-making.