Predictive modeling of carbon stock in eucalyptus forests

• Grant number: 24/21121-5
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2025
• End date: February 28, 2026
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering - Forestry
• Principal Investigator: Fábio Prataviera
• Grantee: Bianca Tomazela
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil

Abstract

This project aims to develop a robust statistical model to predict carbon stocks in forests. Forest carbon stocks play a fundamental role in mitigating climate change, and adequate statistical modeling is essential for accurately estimating the amount of carbon stored in forests. The project will be grounded in a literature review and apply statistical techniques to model the relationship between environmental variables, variables associated with plant characteristics, and forest carbon stocks. The expected results will provide reliable estimates of carbon stocks, supporting decision-making in sustainable forest management and climate change mitigation efforts.