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

低木の侵入は鉱物結合性有機炭素の蓄積を増加させるが、全球草地では飽和度が低い (AI 翻訳)

贵娟 李

Mendeley Dataデータセット2026-05-05#炭素会計Origin: Global
DOI: 10.17632/j2254vxxrh
原典: https://doi.org/10.17632/j2254vxxrh

🤖 gxceed AI 要約

日本語

このデータセットは、低木の侵入が草地の土壌有機炭素プール（POCとMAOC）に与える影響を調査するために構築されました。メタ分析の結果、低木の侵入はMAOCの蓄積を増加させるが、飽和度は低いことが示されました。これは、土壌炭素隔離ポテンシャルの評価に重要な示唆を与えます。

English

This dataset investigates how shrub encroachment affects soil organic carbon fractions (POC and MAOC) in global grasslands. Meta-analysis reveals that shrub encroachment increases mineral-associated organic carbon (MAOC) accumulation but exhibits low saturation. This provides critical insights for evaluating soil carbon sequestration potential and optimizing ecosystem carbon models.

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、土壌炭素隔離は農林業分野の脱炭素策として注目されています。本研究成果は、低木侵入による炭素蓄積メカニズムを解明し、炭素クレジットや土地利用変化の評価に活用できる可能性があります。

In the global GX context

This study advances understanding of soil organic carbon dynamics under vegetation change, providing empirical evidence for carbon saturation thresholds. The findings are relevant for global carbon accounting, offset markets, and ecosystem modeling.

👥 読者別の含意

🔬研究者:This paper offers a meta-analytic dataset and R code for analyzing soil carbon fraction responses to environmental changes, useful for testing carbon saturation hypotheses.

🏢実務担当者:For corporate sustainability teams focused on land-based carbon offsets, this study highlights the importance of carbon saturation in soil sequestration projects.

🏛政策担当者:Policymakers can use these findings to inform guidelines for soil carbon accounting and nature-based solutions in climate mitigation.

📄 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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