Abstract

Climate change and an increase in the greenhouse effect are a matter of global concern. One of reasons for this phenomenon is the increase in greenhouse gases, especially CO2. Therefore, the authors investigated CO2 absorption from forests of 45 plots in Ba Be National Park, characterized by 3 forest states as rich, medium and poor forest, rehabilitated forest after exploitation to estimate carbon sequestration of the forest. In which, the carbon stock of rich forest reaches 273.17 tones/ha, the medium forest is 136.23 tones/ha and the poor forest, rehabilitated forest is 42.06 tones/ha. With a forest growth rate of 1.8% per year, the carbon sequestration in Ba Be National Park for 3 forest states is about 16,499 tones per year. This will contribute to improve environmental quality, reducing greenhouse gas emissions and creating a scientific basis for managers to develop a payment mechanism of forest carbon sequestration services.

Highlights

  • A big global problem has been concerned with climate change and the increase in greenhouse effect

  • We conducted our study in Ba Be National Park (Latitudes 22023’10” – 22028’55” N and 105032’50” – 105041’45”E), which is a precious natural heritage with a unique system of primary limestone forest and natural mountain lake, which is important in Vietnam

  • To determine the above ground biomass, we used the allometric equation between diameter at breast height (DBH) and above ground biomass (AGB) of the UN-REDD Vietnam program to calculate the above ground biomass for evergreen broadleaf forests in Northeast Vietnam in 2012

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Summary

Introduction

A big global problem has been concerned with climate change and the increase in greenhouse effect. This was due to greenhouse gas concentration in the atmosphere, mainly CO2 which contributed for 60% (UNFCCC, 2007). Carbon sequestration of the forest was investigated by various methods such as destruction method (UN- REDD VietNam, 2012) , non-destruction method (Walker et al, 2015; Chaturvedil., et a 2010), GIS technology and modeling method (Omasa et al, 2003) These methods differ in procedure, complexity and time required, depending on the specific aim of the estimation operation (Gunawardena, 2014)

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