Biomass And Carbon Sequestration Capacity Of FSC-Certified Acacia Plantations In Quang Nam Province, Vietnam

Forests play a crucial role in mitigating climate change, with tropical forests storing approximately 50% of global carbon. Accurate biomass estimation is vital for understanding the global carbon cycle, guiding forest management, and addressing energy needs. The study focuses on the Acacia hybrid, a dominant species with short harvesting cycles, necessitating an extension to meet the growing demand for FSC-certified wood. Assessing carbon reserves is essential for informed decision-making, and aligning economic and environmental interests. The methodology involves secondary data collection and primary data from sample plots, considering factors like diameter, height, volume, and existing density. The results shown thattotal fresh biomass gradually increased from 23.578 to 242.852 tons/ha and the dry biomass increased from 9.874 to 118.428 tons/ ha for age 1 to age 7 forest. On average, forests absorb 7.632 tons of C/ha/year, equivalent to 28 tons of CO2/ha/year.The relationship between diameter and forest age can be used the equation: D = 3.1077A0.7535. Meanwhile, the relationship between density and forest age is N = 4426.3 – 1152.Ln(A) Regression analysis aids in forecasting forest productivity, emphasizing the optimal rotation cycle of 9 to 10 years for economic and environmental sustainability.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-05-05
DOI
https://doi.org/10.64252/pmsat693
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biomass And Carbon Sequestration Capacity Of FSC-Certified Acacia Plantations In Quang Nam Province, Vietnam

Nguyễn Văn Hội, Thuong Thi Nguyen, Ho Thanh Ha, Huynh Kim Hieu
International Journal of Environmental Sciences
Forest ecology and management
article

Biomass And Carbon Sequestration Capacity Of FSC-Certified Acacia Plantations In Quang Nam Province, Vietnam

Nguyễn Văn Hội, Thuong Thi Nguyen, Ho Thanh Ha, Huynh Kim Hieu
article en

Abstract

Forests play a crucial role in mitigating climate change, with tropical forests storing approximately 50% of global carbon. Accurate biomass estimation is vital for understanding the global carbon cycle, guiding forest management, and addressing energy needs. The study focuses on the Acacia hybrid, a dominant species with short harvesting cycles, necessitating an extension to meet the growing demand for FSC-certified wood. Assessing carbon reserves is essential for informed decision-making, and aligning economic and environmental interests. The methodology involves secondary data collection and primary data from sample plots, considering factors like diameter, height, volume, and existing density. The results shown thattotal fresh biomass gradually increased from 23.578 to 242.852 tons/ha and the dry biomass increased from 9.874 to 118.428 tons/ ha for age 1 to age 7 forest. On average, forests absorb 7.632 tons of C/ha/year, equivalent to 28 tons of CO2/ha/year.The relationship between diameter and forest age can be used the equation: D = 3.1077A0.7535. Meanwhile, the relationship between density and forest age is N = 4426.3 – 1152.Ln(A) Regression analysis aids in forecasting forest productivity, emphasizing the optimal rotation cycle of 9 to 10 years for economic and environmental sustainability.

International Journal of Environmental SciencesVol. 11(3s)
Openalex Percentile: Top 80%
Forest ecology and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.