Geospatial Estimation of Sequestered Carbon in Soils and Vegetation of Some Forest Reserves in South-West Nigeria
ナイジェリア南西部のいくつかの森林保護区における土壌および植生の炭素隔離の地理空間的推定 (AI 翻訳)
H. U. Nkwocha, J. R. Orimoloye, Y. O. Akinsanya
🤖 gxceed AI 要約
日本語
本研究はナイジェリア南西部の2つの森林保護区における土壌と植生の炭素貯留量を地理空間ツールを用いて定量化した。結果、保護区間で炭素量に差があり、植生被覆の健康状態が炭素隔離に重要であることが示された。持続可能な土地管理と森林保全の必要性を強調している。
English
This study quantifies carbon stocks in soils and vegetation of two forest reserves in Nigeria using geospatial tools. Higher carbon was found in Omo Forest Reserve due to healthier vegetation cover. The findings underscore the need for forest conservation and carbon accounting in Sub-Saharan Africa.
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
本論文は森林炭素貯留量の地理空間的推定手法を示しており、日本のJ-クレジット制度や森林吸収源の評価に応用可能な知見を提供する。
In the global GX context
This paper provides empirical data on carbon stocks in Nigerian forests, demonstrating a methodology combining remote sensing and soil data. It contributes to global understanding of forest carbon sequestration potential, relevant for REDD+ and carbon markets.
👥 読者別の含意
🔬研究者:Useful for those studying carbon stock estimation methods in tropical forests.
🏢実務担当者:Can inform carbon offset project developers on remote sensing-based carbon accounting.
🏛政策担当者:Provides evidence for policies promoting forest conservation and sustainable land management.
📄 Abstract(原文)
Carbon sequestration is essential for improvement of soil health and climate change mitigation. However, unsustainable land use and forest exploitation have negatively influenced carbon stability in tropical ecosystems. This study was conducted to quantify carbon stocks in soils and the vegetations of Omo Forest Reserve (OFR) and Gambari Forest Reserve (GFR), in Southwestern Nigeria, using geospatial tools. Two soil orders (Alfisol and Inceptisol) and three land use types were examined through detailed soil profile characterisation and classification under USDA Soil Taxonomy, WRB, and Local Series systems. Soil carbon was estimated using Batjes’ method, while vegetation biomass and carbon were derived from NDVI and biomas-carbon conversion factors. A higher soil carbon was obtained in OFR (1065.77 g C/m²) than GFR (842.44 g C/m²). Also, substantially greater vegetation biomass and carbon were found in OFR (215.37 Mg/ha and 107.69 Mg/ha) compared to GFR (22.16 Mg/ha and 11.08 Mg/ha). Although differences across soil types and horizons were not statistically significant, bulk density and horizon thickness enhanced carbon sequestration in the sub-surface horizons with Omo Forest Reserve having better carbon sequestration due to high healthy vegetation cover. This finding underscores the urgent need for policies that curb anthropogenic pressures, strengthen forest conservation, and integrate carbon accounting into sustainable land management strategies in Sub-Saharan Africa.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.9734/ajsspn/2026/v12i2683first seen 2026-05-05 19:14:04
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