Environmental Monitoring of Carbon Loss and Sequestration under Urban Expansion Pressure: A Case Study from Istanbul, Türkiye
都市拡大圧力下における炭素損失と隔離の環境モニタリング：イスタンブール（トルコ）を事例として (AI 翻訳)
Alperen Meral, İlknur YAZICI, Engin Eroğlu
🤖 gxceed AI 要約
日本語
本研究は、急速に拡大する大都市イスタンブールを対象に、2017～2024年の土地利用変化が炭素ストックに与える影響をInVESTモデルとGISで評価した。その結果、市街地が3.72%増加し、農地・森林・牧草地が減少、正味約111万7千トンの炭素損失（約410万トンCO2換算）が生じた。土壌有機炭素が損失の75.7%を占め、森林伐採や舗装拡大の悪影響が顕著だった。都市炭素管理とカーボンニュートラル目標達成への政策示唆を示す。
English
This study assesses land-use change impacts on carbon stocks in Istanbul from 2017-2024 using the InVEST model and GIS. Results show a 3.72% increase in built-up area and declines in agricultural, forest, and rangeland, leading to a net carbon loss of 1,117,034.57 tC (approx. 4.1 MtCO₂eq). Soil organic carbon accounted for 75.7% of losses. The findings highlight the need for stricter land-use regulations and green infrastructure for urban carbon management.
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
本論文はトルコ・イスタンブールを対象とするが、日本の都市計画やカーボンニュートラル政策（例：グリーンインフラ推進）にも示唆を与える。特に、都市拡大に伴う炭素損失の定量評価手法は、SSBJや有報での土地関連スコープ3排出量算定に応用可能。
In the global GX context
This case study provides a replicable method for urban carbon monitoring using the InVEST model, relevant to global cities aiming for carbon neutrality. It reinforces the importance of land-use policy in climate action, complementing TCFD/ISSB frameworks that increasingly consider land-use emissions.
👥 読者別の含意
🔬研究者:Demonstrates application of InVEST model for urban-scale carbon accounting; useful for studies linking land-use change and carbon dynamics.
🏢実務担当者:Provides evidence for integrating green infrastructure and ecological buffers into urban planning to mitigate carbon loss.
🏛政策担当者:Supports the case for stricter land-use regulations and conservation policies as part of urban climate strategies.
📄 Abstract（原文）
<title>Abstract</title> Urban expansion in rapidly growing megacities significantly alters terrestrial carbon dynamics, often reducing carbon sequestration potential and increasing greenhouse gas emissions. This study assessed the impacts of land-use change on carbon stocks in Istanbul, Türkiye, between 2017 and 2024, using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model within a Geographic Information Systems (GIS) framework. Sentinel-2 satellite imagery and supervised classification identified six major land cover classes and quantified spatial-temporal transitions. Results revealed a 3.72% increase in built-up areas and declines in agricultural (–2.03%), forested (–0.31%), and rangeland (–0.19%) areas, leading to a net carbon loss of − 1,117,034.57 tC (approximately − 4.1 MtCO₂eq). Soil organic carbon represented the most vulnerable pool, accounting for 75.7% of total losses, particularly in agricultural lands. Aboveground and soil carbon losses in forested areas further emphasized the adverse impacts of deforestation and impervious surface expansion. The findings highlight the urgent need for stricter land-use regulations, conservation of ecological buffer zones, and integration of green infrastructure to enhance urban carbon management. The study demonstrates the applicability of the InVEST model for urban-scale carbon monitoring and as a decision-support tool for achieving carbon neutrality targets.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.56130/tucbis.1868682first seen 2026-07-13 04:50:39
🔔 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。