Regional Planning Pathways to Forest Sustainability and Disaster Resilience in Northern Sumatra
北スマトラにおける森林の持続可能性と災害レジリエンスのための地域計画の道筋 (AI 翻訳)
A. Lubis
🤖 gxceed AI 要約
日本語
2025年11月、熱帯低気圧セニャールと長時間の豪雨により北スマトラで洪水・地滑り災害が発生。上流の森林減少が被害を増幅したことを受け、本研究は土地システム変化と災害結果、炭素便益を結ぶ計画指向の経路モデルを開発。空間計画と自然ベースの解決策で土石流リスク低減と森林炭素保持を強化する優先流域を特定する再現可能なワークフローを提供。
English
This study develops a planning-oriented pathway model linking land-system changes (forest loss, riparian disruption, bare-soil expansion) to disaster outcomes (flood footprints, infrastructure breakpoints, displacement) and carbon co-benefits (avoided emissions and restoration potential) in Northern Sumatra. The model prioritizes sub-watersheds where spatial planning and nature-based solutions jointly reduce debris-flood risk and enhance forest-carbon retention, offering a replicable workflow for integrated climate adaptation.
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
日本では国土強靱化計画など森林と防災の連携が重視される中、本論文のワークフローは流域治水や森林保全計画に示唆を与える。気候変動による豪雨増加が懸念される日本において、森林減少の影響定量化手法は自治体の総合計画に応用可能。
In the global GX context
This paper contributes to global scholarship on nature-based solutions and climate adaptation by providing a replicable planning-to-risk workflow integrating carbon co-benefits with disaster risk reduction. It demonstrates how land-system changes amplify climate hazards, relevant for regions facing increasing flood risks and deforestation.
👥 読者別の含意
🔬研究者:Provides a replicable workflow linking land-system change to disaster risk and carbon benefits for integrated modeling.
🏢実務担当者:Offers a method to prioritize sub-watersheds for spatial planning and nature-based solutions to reduce disaster risk and enhance carbon retention.
🏛政策担当者:Highlights the importance of considering forest loss in disaster risk planning and climate mitigation, supporting integrated land-use policies.
📄 Abstract（原文）
Late November 2025 marked an escalation in flood–landslide disasters across Northern Sumatra, associated with Tropical Cyclone Senyar and multi-day extreme rainfall over the Malacca Strait region (Badan Meteorologi, Klimatologi, dan Geofisika [BMKG], 2025). Disaster reporting in Aceh indicates that heavy rainfall was the proximate trigger, while upstream forest damage was suspected to have amplified impacts, consistent with compound climate–land-system hazards. Climate attribution evidence further suggests that anthropogenic warming increased the intensity of extreme rainfall spells affecting the Malacca Strait region, implying that planning baselines derived from historical climatology risk underestimating future hazard magnitudes. This study develops a planning-oriented pathway model linking land-system change (forest loss, riparian disruption, bare-soil expansion) to disaster outcomes (flood footprints, infrastructure breakpoints, displacement) and to carbon co-benefits (avoided emissions and restoration potential). The expected contribution is a replicable “planning-to-risk” workflow that prioritizes sub-watersheds where spatial planning compliance and nature-based solutions can jointly reduce debris-flood risk while strengthening forest-carbon retention.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.70471/t9way402first seen 2026-06-29 07:52:44
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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。