University of Twente Student Theses


Modelling carbon stock in oil palm using system's approach

Sharma, Bhawna (2009) Modelling carbon stock in oil palm using system's approach.

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Abstract:Oil palm is one of the most productive oilseeds. The demand for products of oil palm is increasing, thus more land is planted under oil palm. Indonesia is the major crude palm oil producing country with the highest growth in area under oil palm plantations. However expansion of the plantations in the tropical forests and peat lands has been a cause of concern. Literature showed contradicting values for carbon stock of oil palm in comparison to forest; leaving the picture of carbon emissions due to expansion of oil palm incomplete. This study aims to estimate carbon stock of oil palm for the complete lifecycle of oil palm tree for Riau province in Indonesia. Field study was conducted in Riau province and parameters such as height, age, transpiration rate; photosynthetic rate, stomatal conductance, and air and leaf temperature were estimated. 90 samples were collected for oil palm in mineral soil and 60 samples were collected for peat soil. Productivity model, TURC, was used to estimate carbon stock of oil palm. Syahrinudin, Henson and Khalid published three different allometric equations for oil palm that was also used to estimate carbon stock. The photosynthetic capacity in leaves of oil palm is found to decrease with age of oil palm. Mean carbon stock estimated from TURC and allometric equation of Khalid was found significantly close to each other. The estimated carbon stock is approximately 40, 80, 140 and 170 tonnes per hectare by methods of Henson, Syahrinudin, Khalid and TURC for 25 years old oil palm, respectively. The sensitivity analysis of TURC model showed TURC is most sensitive to incident solar radiation, photosynthetic efficiency and fAPAR. The maintenance respiration estimated by TURC was found unrealistic and thus, it overestimated carbon stock for mature oil palm. Carbon stock estimated from allometric equation of Syahrinudin is found most accurate for the oil palm growing in Riau province. The carbon stock of the oil palm growing in the mineral soil was much higher in comparison to carbon stock of the oil palm on peat soil.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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