Geostatistical analysis of aboveground carbon stock in Mopane forests
Mopane森林の地上部炭素貯蔵量の地理統計解析 (AI 翻訳)
Momate Emate Ossifo, Severino José Macôo, A. Cau, Rafaela de Carvalho Salvador, Natiele de Almeida Gonzaga, João Domingos Scalon
🤖 gxceed AI 要約
日本語
モザンビーク南部のMopane森林における地上部炭素（AGC）貯蔵量を地理統計的手法（バリオグラム、普通クリギング）で解析。パントロピカルアロメトリー式を用いてバイオマスを推定し、AGCを算出。普通クリギングはAGCの空間パターンを部分的に捉え、交差検証で観測値と予測値の間に中程度の正の相関（54.66%）を示した。さらなるモデル改良やデータ収集の必要性が示唆された。
English
This study analyzes aboveground carbon stock in Mopane forests of southern Mozambique using geostatistical methods. Aboveground biomass was estimated via a pantropical allometric equation, and carbon was derived. Ordinary kriging partially captured spatial patterns, with cross-validation showing a moderate positive correlation (54.66%) between observed and predicted values, indicating room for model refinement.
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、途上国の森林炭素会計手法として、国際的な炭素クレジット制度やREDD+に関心を持つ実務者には参考となる可能性がある。
In the global GX context
This paper contributes to reducing uncertainty in tropical forest carbon accounting, which is relevant for global carbon markets and REDD+ frameworks. It does not directly address corporate disclosure or transition finance but adds empirical data for dry tropical forests.
👥 読者別の含意
🔬研究者:Forest carbon estimation and geostatistics researchers can use the spatial modeling approach and cross-validation results for improving allometric equations.
🏢実務担当者:Limited direct use for corporate sustainability teams unless involved in forest carbon offset projects or land-use monitoring.
🏛政策担当者:Policymakers in African countries can leverage the findings for national forest carbon inventories and REDD+ reporting.
📄 Abstract（原文）
Tropical forests play a crucial role in regulating the climate and maintaining the global carbon cycle. Carbon is primarily stored in plant biomass. In Africa, these forests still present significant uncertainty in the carbon balance. This is due to scarce inventories and a lack of continuous monitoring. Mopane forests (Colophospermum mopane) are typical of dry tropical regions and have important ecological and socioeconomic roles. They are widely used by local communities. In Mozambique, charcoal production mainly drives degradation of these forests and loss of aboveground carbon (AGC). The aim of this study is to analyze aboveground carbon stock in Mopane forests in the Chicualacuala District, Southern Mozambique. The data used refer to georeferenced tree locations in a fragment of native forest. Aboveground biomass was individually estimated through a pantropical equation, using as predictor variables: diameter at breast height (DBH), total height, and basic wood density. From the biomass estimates, AGC was calculated and subsequently analyzed using geostatistical methods such as variograms and ordinary kriging. The results indicated that the ordinary kriging model partially captured the spatial pattern of AGC and, as evidenced by cross-validation, showed a moderate positive correlation (54.66%) between observed and predicted values. This level of correlation suggests that while the model provides a reasonable prediction of AGC, there is still considerable unexplained variability, which highlights areas for further model refinement or additional data collection.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.28951/bjb.v44i2.981first seen 2026-07-02 05:44:28
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