Functional-Unit Differentiation, DBH Size Structure, and Species-Level Contributions of Urban-Tree Standing Carbon Stocks in Qingdao, China: Implications for Sustainable Green-Space Management
中国青島市における都市樹木の現存量炭素ストックの機能単位別・DBHサイズ構造・種別貢献の評価：持続可能な緑地管理への示唆 (AI 翻訳)
Yichao Wang, Haili Zhang, Zongshan Zhao, Mir Muhammad Nizamani, Xiuyu Bian
🤖 gxceed AI 要約
日本語
中国青島市の都市樹木2442本を対象に、機能空間別・胸高直径階・樹種別の炭素貯留量を推定。住宅地が総貯留量で最大、公共サービス地区が炭素密度で最大。大径木（DBH≧40cm）は個体数の3.93%だが炭素量の29.5%を占め、上位20種で約79%を寄与。中国固有のアロメトリー式を用いると推定値は9-11%増加するが、相対パターンは不変。成熟木の保全と中径木の将来の炭素プールとしての維持、低炭素密度機能空間への緑化改善を提言。
English
This study assessed carbon stocks of 2,442 urban trees in Qingdao, China, across functional units, DBH classes, and species. Residential areas had the highest total stock, while public service districts had the highest density. Large trees (DBH≥40cm) comprised only 3.93% of individuals but contributed 29.5% of carbon; top 20 species contributed ~79%. China-specific equations increased estimates by 9-11% but did not alter relative patterns. Findings support conserving mature trees, maintaining medium-sized trees as future reserves, and targeting greening to low-density areas, while acknowledging uncertainty in absolute estimates.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では都市緑地の炭素貯留機能がカーボンニュートラル施策や生物多様性戦略で注目されており、本研究成果は都市計画や緑地管理における炭素評価の方法論的示唆を提供する。特に、機能空間別の炭素密度評価は、自治体の緑地整備優先順位の決定に活用できる。
In the global GX context
This study contributes to global urban forestry and carbon accounting literature by providing empirical evidence on urban tree carbon stocks and methodological uncertainty. It highlights the importance of large trees and species composition, which is relevant for cities worldwide aiming to enhance climate mitigation through green infrastructure. The sensitivity analysis underscores the need for caution in absolute estimates, informing international standards for urban carbon inventories.
👥 読者別の含意
🔬研究者:Provides empirical data and methodological insights on urban tree carbon estimation, useful for refining allometric models and understanding size/species contributions.
🏢実務担当者:Offers actionable guidance for urban green-space management, such as prioritizing conservation of mature trees and targeting greening efforts to low-carbon-density areas.
🏛政策担当者:Informs urban climate policy and green infrastructure planning by quantifying carbon storage potential and highlighting the role of functional zoning.
📄 Abstract（原文）
Urban trees are important biological carbon pools in cities, yet their standing carbon stocks and the associated methodological uncertainty regarding their evaluation often vary among functional spaces. This study assessed 2442 individual trees representing 148 species in 116 standard 20 m × 20 m plots in the core urbanized area of Qingdao, China. Individual-tree carbon stocks were estimated from diameter at breast height, tree height, wood basic density, and allometric equations and were analyzed across urban functional units (UFUs), DBH classes, and species. Under the baseline Chave model, the sampled trees stored 153.337 Mg C, equivalent to 562.237 Mg CO2, with a mean carbon density of 33.047 Mg C ha−1. Residential districts contributed the highest total carbon stock, whereas public affairs service districts had the highest carbon density. Trees with DBH ≥ 40 cm accounted for only 3.93% of individuals but contributed 29.50% of the total carbon stock, and the top 20 species contributed approximately 79.0%. Alternative China-specific equations increased total estimates by 9.38–11.24% but covered only 10 of 148 species and 21.38% of trees at most; the UFU ranking and the main size- and species-contribution patterns remained unchanged. A root-to-shoot parameter sensitivity analysis likewise affected absolute estimates but not relative patterns. These findings support conserving mature trees, maintaining medium-sized trees as future carbon reserves, and targeting greening improvements to low-carbon-density functional spaces while recognizing the uncertainty inherent in absolute carbon-stock estimates.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18157664first seen 2026-07-31 06:17:21
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