Spatiotemporal dynamics of carbon emissions induced by land-use change and their implications for climate resilience in West African drylands
西アフリカ乾燥地における土地利用変化に起因する炭素排出の時空間動態と気候レジリエンスへの影響 (AI 翻訳)
Issaka Abdou Razakou Kiribou, Kangbéni Dimobe, Tiga Neya, Sintayehu W. Dejene
🤖 gxceed AI 要約
日本語
本研究は、西アフリカ乾燥地の生物多様性ホットスポットにおける土地利用・土地被覆変化（LULC）に伴う炭素ストックの時空間変化を分析。ランドサット画像とランダムフォレストアルゴリズムを用いて2000年から2022年の変化を推定し、樹木サバンナの減少と農地の増加により約30万MgCの炭素ストック変化が生じたことを明らかにした。気候シナリオに基づく将来予測では、さらなる炭素増加と土地劣化が示唆され、SDG15に沿った統合的戦略の必要性を強調している。
English
This study analyzes spatiotemporal changes in carbon stock due to land-use and land-cover change (LULC) in a West African dryland biodiversity hotspot. Using Landsat imagery and random forest algorithm, it estimates a decline in wooded savanna and increase in cropland, resulting in ~300,000 MgC of carbon stock changes from 2000 to 2022. Climate projections under SSP scenarios indicate additional carbon increases and land degradation, emphasizing integrated strategies for climate resilience aligned with SDG 15.
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
日本のGX文脈では直接的な関連性は低いが、土地利用変化に伴う炭素排出の定量化手法は、日本の森林・農地管理におけるカーボンアカウンティングやJ-クレジット制度への示唆を与える可能性がある。
In the global GX context
This paper contributes to global GX scholarship by providing empirical evidence on land-use change carbon emissions in dryland ecosystems, relevant for nature-based solutions and carbon accounting frameworks like IPCC guidelines. It highlights the interplay between land degradation and climate feedbacks, informing climate resilience strategies in vulnerable regions.
👥 読者別の含意
🔬研究者:Provides a methodology for estimating LULC-induced carbon stock changes using remote sensing and emission factors, applicable to similar dryland ecosystems.
🏢実務担当者:Offers insights for land management and carbon offset projects in drylands, though direct corporate application is limited.
🏛政策担当者:Supports evidence-based policy for land-use planning and climate resilience in West African drylands, aligning with SDG 15.
📄 Abstract（原文）
Understanding the effects of land-use and land-cover change (LULC) on carbon emissions is crucial for ensuring the sustainable management of dryland ecosystems. This study investigates spatial and temporal changes in carbon stock associated with LULC in one of the key biodiversity hotspots of the West African drylands. The study uses a Landsat imagery dataset spanning 2000, 2010, and 2022, processed in Google Earth Engine using a random forest algorithm. LULC-induced changes in carbon stock are estimated using ecosystem-specific emission factors for the designated study area. Additionally, integrating NDVI and climate stressors enables the projection of vegetation productivity and future carbon trajectories. The findings indicate a substantial decline in wooded savanna (~ 21%), tree savanna (7%), and shrub savanna (5%), alongside a ~ 35% increase in cropland. These transitions generated an estimated 300,000 MgC of carbon stock changes between 2000 and 2022. Climate projections under SSP1-2.6 and SSP5-8.5 scenarios indicate continued warming and reductions in annual rainfall of 5.414 mm and 9.359 mm, respectively, leading to additional carbon increases of ~ 1.3 MgC/ha and ~ 2 MgC/ha by 2070. These combined pressures accentuate land degradation and climate feedbacks. It emphasizes the need for integrated strategies to enhance climate resilience in West African dryland ecosystems in line with Sustainable Development Goal (SDG 15).
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-47031-6first seen 2026-05-05 19:12:22
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