Quantifying Carbon Sequestration across Nigeria’s Vegetation Belts Using Light-Use Efficiency Model
光利用効率モデルを用いたナイジェリア植生帯における炭素隔離の定量化 (AI 翻訳)
M. N. Pius, A. C. Salihu, R. J. Jacob, P. J. Manga, Y. I. Sadiq
🤖 gxceed AI 要約
日本語
本研究は、リモートセンシングと気候データを用いて、2001年から2025年までのナイジェリアの植生帯における炭素隔離量を推定した。総隔離量は約720億トンCO2eで、サブサハラアフリカの主要な炭素吸収源であることを確認。地域ごとの保全・回復戦略の重要性を示した。
English
This study estimated carbon sequestration across Nigeria's vegetation belts from 2001 to 2025 using remote sensing and climate data. Total sequestration was about 72 billion tonnes CO2e, confirming Nigeria as a major carbon sink in sub-Saharan Africa. The findings highlight the need for region-specific conservation and restoration 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
日本では、SSBJ開示やカーボンニュートラル目標に向けて、サプライチェーン排出量の算定が重要。本研究成果は、海外の炭素吸収源の定量評価手法として参考になり、日本の企業が海外事業で炭素会計を行う際の知見を提供する。
In the global GX context
Globally, this study contributes to national carbon accounting methodologies, especially for data-sparse regions. It provides empirical evidence for climate mitigation strategies and supports the development of carbon monitoring systems, aligning with international frameworks like the Paris Agreement and IPCC guidelines.
👥 読者別の含意
🔬研究者:Provides a methodological framework for estimating carbon sequestration in tropical regions using LUE models and remote sensing data.
🏢実務担当者:Offers insights for companies involved in land-based carbon projects or seeking to understand carbon dynamics in West Africa.
🏛政策担当者:Informs national climate mitigation policies and carbon accounting systems, highlighting the importance of savannah and forest conservation.
📄 Abstract（原文）
Quantifying terrestrial carbon sequestration is critical for climate mitigation, ecosystem management, and national carbon accounting, particularly in data-sparse regions such as West Africa. This study assessed the spatiotemporal dynamics of carbon sequestration across Nigeria’s major vegetation belts between 2001 and 2025 using a Light-Use Efficiency (LUE) model integrated with remotely sensed vegetation and climatic datasets. Net Primary Productivity (NPP) was estimated from Fraction of Photosynthetically Active Radiation (FPAR), solar radiation, rainfall, temperature, soil moisture, and drought indices derived from the European Commission Joint Research Centre ASAP platform. Spatial aggregation, trend analysis, and Generalised Additive Models (GAMs) were employed to evaluate temporal variability and climatic controls. Results showed that Nigeria sequestered approximately 72.0 billion tonnes CO₂e during the study period, confirming its significance as a major terrestrial carbon sink in sub-Saharan Africa. The Guinea Savannah (24.3 billion tonnes CO₂e) and Sudan Savannah (19.4 billion tonnes CO₂e) contributed more than 60% of national sequestration because of their extensive spatial coverage, whereas rainforest and mangrove ecosystems exhibited the highest sequestration efficiency per unit area. Annual sequestration ranged from 2,566 to 3,179 million tonnes CO₂e yr⁻¹, with strong interannual variability linked to hydroclimatic conditions, particularly rainfall deficits and drought stress. GAM analysis further revealed nonlinear ecosystem responses to climatic variability. Woody biomass accounted for the largest proportion of stored carbon (45%), underscoring the importance of maintaining long-term vegetation structure. The findings highlight pronounced ecological heterogeneity in Nigeria’s carbon dynamics and emphasise the need for region-specific conservation, restoration, and climate adaptation strategies to strengthen national mitigation efforts and carbon-monitoring systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.9734/ijecc/2026/v16i85582first seen 2026-08-16 04:51:24
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