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Carbon Stock in 18-year Old Acacia Auriculiformis Cunn., Anthocephalus Chinensis Lamk. and Tectona Grandis L. of Tankawati Forest Area in Chittagong, Bangladesh

Mohammad Rahmat Ullah
College of Forestry, Beijing Forestry University, Beijing-l00083, P. R. China.

Mohammed AI-Amin
Institute of Forestry & Environmental Sciences, University of Chittagong, Bangladesh.

S. M. Zahirul Islam
Bangladesh Forest Research Institute, P.O. Box. 273, Chittagong-4000, Bangladesh.

Abstract/ Executive Summary:

The aim of the study was to estimate carbon stock of 18-year old three plantations species namely Acacia auriculiformis Cunn., Anthocephalus chinensis Lamk. and Tectona grandis L. Systematic sampling method was used to identify each sampling point through the Global Positioning System (GPS). Tree biomass estimated by Loss on Ignition method and soil carbon stock was dertermined by Walkley-Black oxidation method. Results showed that the total carbon stock was highest 211.09 ton-ha^-1 in Acacia auriculiformis plantation. The maximum litter carbon was 2.46 ton-ha^-1 in Tectona grandis plantation followed by 1.89 ton ha^-1in Anthocephalus chinensis. Selection of plantation tree species according to highest carbon stock capacity may help the developing countries to earn more carbon credits, and in the long run, to tackle the climate change.

Keywords: Carbon stock, Plantations, Loss on ignition, Walkley-Black method

Location: Tankawati forest, Chittagong South Forest Division

Start Date: 01-01-2009

End Date: 30-06-2009

Program Area: Variety and Species

Non-commodity: Akash moni

Objectives:

To estimate carbon stock of 18-year old three plantations species namely Acacia auriculiformis Cunn., Anthocephalus chinensis Lamk. and Tectona grandis L. Systematic sampling method was used to identify each sampling point through the Global Positioning System (GPS).

Methodology:

The study was conducted in the mono plantation area of Tankawati forest (21°56'-21°59'N and 92°06'-92°13'E) of Chittagong South Forest Division, Bangladesh. The study area was situated on the western aspect of mid hill. The plantation area was 28.4 ha for Teak (Tectona grandis), 6.3 ha for Akashmoni (Acacia auriculiformis) and 6.3 ha for Kadam (Anthocephalus chinensis). The elevation of the study area ranged between 14m and 87m above mean sea level . The study area has a moist tropical maritime climate, with high rainfall concentrated during monsoon period from June to September, high temperature and high humidity. The mean monthly temperature in the study area ranges from 21.20°C in November to 28.44°C in April with a mean annual temperature of 26.44°C. The mean monthly maximum temperature ranges from 26.37°C in November to 32.72°C in April and the mean monthly minimum temperature from 16.03°C in November to 25°C in April. The mean minimum and maximum temperatures are 21.97°C and 30.51°C respectively. The study was conducted from January to December in 2009. Data on diameter and tree height were collected from standing trees; soil samples were collected from the field and were analyzed in laboratory. The three mono plantations of Acacia auriculiformis, Anthocephalus chinensis and Tectona grandis were raised in 1991 in the deforested areas of Tankawati forest. Each intersection point was determined using systematic sampling method. The geo- position of the plantation area was determined by using GPS at first, after that one-minute interval was inserted in the map from 21°56'-21°59'N latitude and 92°08'-92°12'E longitude of the study area. A total of 27 sample plots were selected for three species of 18 years old plantation and sample plots size were 10m x 10m. Samples were collected from all trees of the plot for laboratory analysis to estimate carbon stock and increment cores were collected by wood borer at breast height (1.3 m). We established 27 sample plots, each of 2m x 2m in size and nine plots from each plantation, in the crown- covered area to estimate the biomass of fallen litter in the plantations. The size of the sample plot was 2m x 2m. Each sample was a composite of three sub-samples. Thus for the three plantations, a total of 27 soil samples were studied. Soil samples were collected using an earth augur. The samples were carefully taken to the laboratory for chemical analysis through the Walkey-Black oxidation method. Loss on ignition method was used to estimate carbon stock of the tree species. The fresh weight of tree samples were taken using an electronic balance, then dried at 65°C in an oven for 48 h to measure dry weight. Oven dried grind samples were taken in pre-weighted crucibles, after that they were put in the furnace and followed by ignition for 1h. During field work, soil from each depth was collected to determine organic carbon, and soil core was used to calculate bulk density for different depths. Field's moist soil cores were dried in an oven at 105°C for 8 h, and re-weighted to determine moisture content and dry bulk density. To estimate the percentage of organic carbon in the soil, samples were analyzed by the wet oxidation method.

Source of Information: Bangladesh Journal of Forest Science, Jan-June. 2013, Vol.32(2), pp.66-73, ISSN:1021-3279.

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

The results clearly show the capacity of three 18-year old plantations of Acacia auriculiformis, Anthocephalus chinensis and Tectona grandis to sequester atmospheric carbon and that reforestation makes a significant contribution to carbon sequestration in Bangladesh. Both A. auriculiformis and T. grandis are exotic tree species in Bangladesh, but now become common species due to the most of the land coverage through plantation and their economic values. Hence, it is essential to conduct the study for estimating carbon stock. A continued increase in carbon stock and their accumulation rates for all plantation species along with plantation age indicated a progressive development of soil. To overcome the problem of global warming and climate change, sustainable forest management is the best way to achieve optimum carbon sequestration; and more easy, applicable and fast scientific methods are required to estimate the carbon stock in plantation forest. In the present study, the estimation of carbon stock can be directed to researchers and administrators to analyze global carbon credit, which can be helpful to develop the forestry and environmental sectors, such as Bangladesh and other tropical countries with similar environments.

Knowledge Management: Journal