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Shrub encroachment increases mineral-associated organic carbon accumulation but exhibits low saturation in global grassland

低木の侵入はグローバルな草地における鉱物結合有機炭素蓄積を増加させるが、低い飽和度を示す (AI 翻訳)

Guijuan Li

Mendeley Dataデータセット2026-05-05#気候科学
DOI: 10.17632/j2254vxxrh.3
原典: https://doi.org/10.17632/j2254vxxrh.3

🤖 gxceed AI 要約

日本語

本データセットは、低木侵入が草地の土壌有機炭素画分（POCおよびMAOC）に与える影響を評価するため、メタ解析用に作成された。文献から抽出した効果量（lnRR）と統計コード（Rスクリプト）を提供し、異なる炭素プールの飽和可能性や炭素隔離ポテンシャルの分析を可能にする。

English

This dataset is designed for meta-analysis to evaluate how shrub encroachment affects soil organic carbon fractions (POC and MAOC) in grasslands. It provides effect sizes (lnRR) extracted from literature and R scripts for random-effects models and carbon saturation analysis, supporting assessment of carbon sequestration potential.

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

日本の草地生態系や農地管理における炭素隔離ポテンシャルの評価に示唆を与える。特に、鉱物結合有機炭素の飽和度が低いという知見は、日本での炭素貯留目標設定やGHGインベントリの精度向上に貢献しうる。

In the global GX context

This study provides global-scale evidence that shrub encroachment increases mineral-associated organic carbon but with low saturation, informing nature-based climate solutions and carbon accounting for grasslands. The dataset and analytical framework can support national greenhouse gas inventories and land management strategies.

👥 読者別の含意

🔬研究者:A meta-analytic dataset and R code for analyzing soil organic carbon fraction responses to shrub encroachment, useful for advancing soil carbon models and saturation theory.

🏢実務担当者:Insights on carbon sequestration potential in grasslands under shrub encroachment can guide land management and restoration practices for carbon credits.

🏛政策担当者:Evidence for soil carbon saturation and accumulation dynamics relevant to national climate targets and nature-based solution policies.

📄 Abstract（原文）

This dataset is designed to investigate the mechanisms by which soil organic carbon (SOC) fractions (POC and MAOC) respond to environmental changes or management practices. Based on the research hypotheses that “POC is more sensitive to external disturbances than MAOC” and that “MAOC has carbon sequestration potential,” we conducted a systematic review of academic literature to extract sample sizes and standard deviations, and calculated the natural logarithm of the response ratio (lnRR) as the core effect indicator. The dataset includes raw data (Data.xls), classification metadata (grouping.csv), and effect value files organized by category (SOC/POC/MAOC_lnRR.csv). The provided R scripts (meta_R code.R and MAOCsat_R code.R) document in detail the entire statistical process, from the construction of random-effects models to the analysis of carbon saturation potential. This dataset not only reveals differences in turnover among various carbon pools but also provides critical support for evaluating soil carbon sequestration potential and optimizing ecosystem carbon models. The provided code can be used to directly reproduce the analysis results or for further development.

🔗 Provenance — このレコードを発見したソース

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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。