Carbon stocks and its variations with topography in an intact lowland mixed dipterocarp forest in Brunei

Sohye Lee, Dongho Lee, Tae Kyung Yoon, Kamariah Abu Salim, Saerom Han, Hyeon Min Yun, Mihae Yoon, Eunji Kim, Woo Kyun Lee, Stuart James Davies, Yowhan Son

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Tropical forests play a critical role in mitigating climate change, and therefore, an accurate and precise estimation of tropical forest carbon (C) is needed. However, there are many uncertainties associated with C stock estimation in a tropical forest, mainly due to its large variations in biomass. Hence, we quantified C stocks in an intact lowland mixed dipterocarp forest (MDF) in Brunei, and investigated variations in biomass and topography. Tree, deadwood, and soil C stocks were estimated by using the allometric equation method, the line intersect method, and the sampling method, respectively. Understory vegetation and litter were also sampled. We then analyzed spatial variations in tree and deadwood biomass in relation to topography. The total C stock was 321.4 Mg C ha-1, and living biomass, dead organic matter, and soil C stocks accounted for 67%, 11%, and 23%, respectively, of the total. The results reveal that there was a relatively high C stock, even compared to other tropical forests, and that there was no significant relationship between biomass and topography. Our results provide useful reference data and a greater understanding of biomass variations in lowland MDFs, which could be used for greenhouse gas emission-reduction projects.

Original languageEnglish
Pages (from-to)75-84
Number of pages10
JournalJournal of Ecology and Environment
Issue number1
Publication statusPublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 The Ecological Society of Korea. All rights are reserved.


  • Biomass
  • Carbon pool
  • Carbon stocks
  • Lowland mixed dipterocarp forest
  • Topography
  • Tropical forest

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology


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