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Aboveground biomass and the drivers depending on the strata of urban forests
Journal of the Korean Data & Information Science Society 2022;33:677-90
Published online July 31, 2022;
© 2022 Korean Data and Information Science Society.

Min Ki Lee1 · Hae In Lee2 · Chang Bae Lee3

12Department of Forest Resources, Kookmin University
3Department of Forestry, Environment, and Systems, Kookmin University
Correspondence to: This study was carried out with the support of ‘R&D Program for Forest Science Technology (Project No. 2019150B10-2223-0301)’ and ‘Development of Forest Restoration Index Using Eco-morphological Traits of Tree Species (Project No. 2021346B10-2223-CD01)’ provided by Korea Forest Service (Korea Forestry Promotion Institute).
1 Graduate student, Department of Forestry Resources, Kookmin University, 77 Jeongneung Rd, Seongbukgu, Seoul 02707, Korea.
2 Graduate student, Department of Forestry Resources, Kookmin University, 77 Jeongneung Rd, Seongbukgu, Seoul 02707, Korea.
3 Associate Professor, Department of Forestry, Environment, and System, Kookmin University, 77 Jeongneung Rd, Seongbukgu, Seoul 02707, Korea. E-mail:
Received May 23, 2022; Revised June 4, 2022; Accepted June 28, 2022.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study was carried out to evaluate the biotic and abiotic effects and the mechanisms on aboveground biomass (AGB) across the strata of urban forests in Gwanakgu and Geumcheongu, Seoul. We used forest diversity facets such as species, phylogenetic and functional diversity, and community weighted mean (CWM) of trait values as biotic drivers, and environmental variables such as climate and topography as abiotic drivers. To compare the effects of the drivers on AGB in overstory, understory, and whole community, a model averaging approach of multi-model inference test was performed. As a result, species richness, phylogenetic species clustering, and functional divergence had significant effects on overstory AGB, and species richness and CWM of maximum height were selected as the most important drivers controlling understory AGB. Overstory AGB depended on topography, but understory AGB did not have any significant abiotic drivers. Overstory AGB was affected by niche complementary effect with phylogenetic and functional similarity, and understory biomass simultaneously showed the continuous effect (i.e., niche complementary effect) of overstory biotic drivers as well as the dominant role of specific functional strategy. Therefore, this study represents that the urban forest biomass characterizes as different ecological mechanisms from natural forests because of the simple species composition and community structure.
Keywords : Aboveground biomass, forest strata, mass ratio, niche complementarity, urban forest.