Root Biomass Allocation and Carbon Sequestration in Urban Landscaping Tree Species in South Korea

The quantification of urban tree biomass allocation has primarily relied on estimations using allometric equations (AEs) developed for nondestructive harvest methods. However, the lack of harvest-based AEs that account for belowground biomass, nutrient concentration, and annual growth rates poses challenges in accurately quantifying the greenhouse gas inventory for urban land uses. In this study, we aimed to develop AEs using a log-transformed linear model for eight urban landscaping tree species, taking into account belowground biomass. We purchased 117 urban landscaping trees from tree farms in South Korea and investigated their biomass fractions, carbon and nutrient concentrations, and annual growth rate using a destructive method. We also developed AEs for different tree compartments using diameter at breast height as an independent variable. The AEs obtained exhibited high suitability, as evidenced by their high R2 values (0.853–0.982 and 0.806–0.923 for aboveground and belowground biomass, respectively). The mean belowground biomass fraction across the different species was approximately 30%, suggesting that urban trees could allocate more belowground biomass than forest trees. Conversely, carbon and nitrogen concentrations varied significantly across species and compartments, and the mean annual carbon sequestration rate was 3.96 kg C year−1 tree−1. Therefore, the application of the AEs for urban trees may enhance the accuracy of the national greenhouse gas inventory for the settlement sector.

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Publication Details

Journal
Forests
Published
2024-11-27
DOI
https://doi.org/10.3390/f15122104
Citations
2
Primary Topic
Ecology and Conservation Studies
Type
article
Field-Weighted Citation Impact
1.20

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article

Root Biomass Allocation and Carbon Sequestration in Urban Landscaping Tree Species in South Korea

Tae Kyung Yoon, Seonghun Lee, Sang-Jin Lee, Seung-Min Lee et al.
2 citations
Forests
Ecology and Conservation Studies
1.20
article

Root Biomass Allocation and Carbon Sequestration in Urban Landscaping Tree Species in South Korea

Tae Kyung Yoon, Seonghun Lee, Sang-Jin Lee, Seung-Min Lee, Jeongmin Lee, Yowhan Son
article en
2 citations

Abstract

The quantification of urban tree biomass allocation has primarily relied on estimations using allometric equations (AEs) developed for nondestructive harvest methods. However, the lack of harvest-based AEs that account for belowground biomass, nutrient concentration, and annual growth rates poses challenges in accurately quantifying the greenhouse gas inventory for urban land uses. In this study, we aimed to develop AEs using a log-transformed linear model for eight urban landscaping tree species, taking into account belowground biomass. We purchased 117 urban landscaping trees from tree farms in South Korea and investigated their biomass fractions, carbon and nutrient concentrations, and annual growth rate using a destructive method. We also developed AEs for different tree compartments using diameter at breast height as an independent variable. The AEs obtained exhibited high suitability, as evidenced by their high R2 values (0.853–0.982 and 0.806–0.923 for aboveground and belowground biomass, respectively). The mean belowground biomass fraction across the different species was approximately 30%, suggesting that urban trees could allocate more belowground biomass than forest trees. Conversely, carbon and nitrogen concentrations varied significantly across species and compartments, and the mean annual carbon sequestration rate was 3.96 kg C year−1 tree−1. Therefore, the application of the AEs for urban trees may enhance the accuracy of the national greenhouse gas inventory for the settlement sector.

ForestsVol. 15(12)
Chungnam National University (KR), Korea University (KR), Sangji University (KR)
Sangji University, Ministry of Environment, Ministry of Education, India, Korea Environmental Industry and Technology Institute
Sustainable cities and communities
Openalex Percentile: Top 15%
Ecology and Conservation Studies
1.20
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