gxceed
← 論文一覧に戻る

Spatiotemporal Distribution and Driving Factors of Carbon Storage in the Ecologically Fragile Alpine Region of the Eastern Qinghai–Tibet Plateau

東部青海チベット高原の生態学的に脆弱な高山地域における炭素貯蔵の時空間分布と駆動要因 (AI 翻訳)

Xingyue Lan, Zhongxuan Huang, Jiaoling Wu, Haotian Duan, Lixin Chen, Junhao Wu, Jingwen Peng, Kuangji Zhao, Guirong Hou, X L Li

Forests📚 査読済 / ジャーナル2026-05-08#気候科学Origin: CN
DOI: 10.3390/f17050576
原典: https://doi.org/10.3390/f17050576
📄 PDF

🤖 gxceed AI 要約

日本語

本研究は、PLUSモデル、InVESTモデル、ランダムフォレストモデルを用いて、青海チベット高原のゾイゲ郡における1990年から2030年までの炭素貯蔵量の変化を分析する。生態保護シナリオで最も高い炭素貯蔵量が得られ、斜面、標高、土壌タイプ、気温が主な駆動要因である。結果は炭素隔離のための土地利用計画に貢献する。

English

This study analyzes carbon storage changes from 1990 to 2030 in Zoige County on the Qinghai-Tibet Plateau using the PLUS, InVEST, and Random Forest models. It finds that an ecological protection scenario yields the highest carbon storage, with key drivers including slope, elevation, soil type, and temperature. The results inform land use planning for carbon sequestration.

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

この研究は、日本のGX政策の文脈では直接的な関連性は低い。しかし、生態系炭素貯蔵と土地利用計画の関係を示しており、日本の森林や高山地域における炭素貯蔵管理に示唆を与える可能性がある。また、SSBJや有報開示とは直接関係しないが、自然資本評価の観点から参考になる。

In the global GX context

This paper contributes to the global understanding of carbon storage dynamics in ecologically fragile alpine ecosystems. Although it does not directly address corporate disclosure or transition finance, its findings on land use scenarios and carbon sequestration can inform nature-based solutions and climate mitigation strategies relevant to global climate goals.

👥 読者別の含意

🔬研究者:Researchers in carbon cycle and land use modeling can use the integrated methodology (PLUS-InVEST-RF) and the scenario analysis approach for similar studies.

🏢実務担当者:Land use planners and environmental managers in alpine regions can apply the scenario outcomes to prioritize ecological protection for carbon storage.

🏛政策担当者:Policymakers in China and similar regions can consider the ecological protection scenario as a pathway for enhancing carbon sinks in land use planning.

📄 Abstract（原文）

Accurate prediction and assessment of carbon storage are crucial in the context of global climate change. However, existing research has largely focused on large-scale regions, while studies on small-scale ecologically fragile alpine regions remain insufficient. This study focuses on Zoige County, integrating the PLUS model, InVEST model, and Random Forest model to form a composite analysis workflow. Through this workflow, we simulated the distribution of land use types in 2030 and quantified carbon storage from 1990 to 2030, subsequently analyzing their spatial distribution and driving factors. The key findings include: (1) Under the natural development scenario (NDS) and the ecological protection scenario (EPS) for 2030, the primary land use transition involved the conversion of grassland to forest and wetland. Conversely, wetland was converted into cropland under the economic development scenario (EDS). (2) Under the NDS, EDS, and EPS, carbon storage would be 8.396 × 107 t, 8.252 × 107 t, and 8.432 × 107 t, respectively. The EPS yielded the largest increase in carbon storage. (3) In all three scenarios, carbon storage showed a clustered distribution. Compared with 2020, the carbon storage hot spot areas under both NDS and EPS showed an expansion trend, whereas the cold spot areas also expanded in three scenarios. (4) The key drivers of carbon storage include slope, elevation, soil type, and mean annual temperature. This study concludes that the EPS represents the most favorable development pathway for carbon storage accumulation. This finding can provide a basis for future carbon storage dynamics and land use planning for Zoige County.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。