韓国における私有林の土地利用指定に伴う炭素蓄積量の差異
Carbon Stock Differences Associated with Private Forest Land-Use Designation in South Korea (原題)
Eunhee Son, Hyunkyu Won, Chi-Ung Ko, Ho Jin Seong, Jae Yeop Kim, Ja Min Yoo, Hyungho Kim
🤖 gxceed AI 要約
日本語
韓国の私有林において、保護区（PA）と準保全山区（SCA）の炭素蓄積量をInVESTモデルと傾向スコアマッチングで比較した。PAはSCAより平均4.97 Mg C ha⁻¹多く、その差は広葉樹で大きく、林冠密度で非線形、林齢とともに縮小した。指定に伴う炭素便益は森林構造により異質であり、差別化された管理・補償・保全優先順位付けの根拠となる。
English
Using InVEST carbon modeling with propensity score matching, this study compared carbon stocks between protected private forests (PA) and matched semi-conservation districts (SCA) in South Korea. PAs held 4.97 Mg C ha⁻¹ more carbon on average, with the gap larger in broad-leaved stands, nonlinear across canopy density, and declining with age class. Designation-related carbon benefits are structurally heterogeneous, supporting differentiated management and compensation strategies.
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
日本でも森林保全・J-クレジット・生物多様性保全の政策設計が進む中、指定制度の炭素便益を構造別に評価する手法は、自治体や林業事業者の保全優先順位付けに示唆を与える。ただしSSBJや有報開示との直接接続は限定的。
In the global GX context
As global frameworks like TNFD and CSRD push nature-related disclosure, this study offers empirical evidence on how land-use designation translates into measurable carbon outcomes—useful for refining nature-based credit methodologies and conservation-linked finance.
👥 読者別の含意
🔬研究者:森林保全指定と炭素蓄積の因果的関連を評価する際のマッチング手法と構造的異質性の扱いを学べる。
🏢実務担当者:森林保全・カーボンクレジット事業において、林種・林齢別に保全効果を見積もる際の参考になる。
🏛政策担当者:私有林の保全指定制度の設計や補償スキームを、森林構造に応じて差別化する根拠として活用できる。
📄 Abstract（原文）
Private forest land-use designations can contribute to climate mitigation; however, their carbon benefits are difficult to estimate because protected and less strictly regulated forest lands often differ in site and environmental conditions. Evidence on whether designation-associated carbon differences vary with forest structure is also limited. This study evaluated carbon stock differentials between protected areas in private forests (PA) and matched semi-conservation mountainous districts (SCA) in South Korea using the InVEST Carbon Storage and Sequestration model. Propensity score matching was used to improve comparability, followed by average treatment effect on the treated (ATT) estimation and regression analysis of the matched sample. Alternative matching and regression specifications were examined as robustness checks. The mean carbon stock was 4.97 Mg C ha⁻¹ higher in PAs than in comparable SCAs (95% CI: 4.45–5.49, p < 0.001). The PA-SCA difference varied by forest structure: it was greater in broad-leaved forests than in coniferous forests, showed a nonlinear pattern across canopy density classes, and declined with increasing age class. These findings indicate that carbon stock differences associated with private forest land-use designation are structurally heterogeneous. While they should be interpreted as cross-sectional associations, they provide evidence for differentiated land-management, compensation, and conservation prioritization strategies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15101782first seen 2026-10-10 05:00:25
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