Spatial and landscape-scale variability in global mangrove soil carbon estimates
全球マングローブ土壌炭素推定における空間的および景観スケールの変動性 (AI 翻訳)
Lucy Carruthers, Lukas Lamb‐Wotton, Jaxine Wolfe, David Lagomasino, Stuart E. Hamilton
🤖 gxceed AI 要約
日本語
本研究は、全球のマングローブ土壌炭素ストック推定値の不確実性を低減するため、5つのモデルを比較し、平均値として4.13 Pg C（1m深さ）を提案。アフリカとアジアで空間的変動が大きく、特定の地形・潮汐条件が高い標準偏差と関連することを明らかにした。
English
This study reduces uncertainty in global mangrove soil carbon stock estimates by comparing five models, yielding an ensemble mean of 4.13 ± 0.89 Pg C to 1 m depth. Significant spatial variability in Africa and Asia, linked to geomorphic settings and tidal conditions, guides future research and climate mitigation policy.
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
日本のブルーカーボン戦略には直接関係しないが、炭素ストック推定の不確実性低減手法は、日本の海草藻場など他の沿岸生態系にも応用可能。
In the global GX context
Global relevance: This work refines blue carbon estimates critical for national greenhouse gas inventories and climate finance mechanisms like REDD+. It highlights areas of high uncertainty that require ground-truthing to improve confidence in nature-based climate solutions.
👥 読者別の含意
🔬研究者:Useful for those studying coastal carbon dynamics and model intercomparison to understand drivers of uncertainty in blue carbon estimates.
🏢実務担当者:Informs organizations engaged in mangrove offset projects about the spatial variability and need for site-specific validation.
🏛政策担当者:Supports inclusion of mangroves in national carbon inventories and NDCs by providing a refined global estimate with quantified uncertainty.
📄 Abstract（原文）
Accurate global mangrove soil carbon estimates are essential, considering the critical role mangroves play in the coastal carbon cycle. However, current global estimates vary widely, ranging from 2.26 to 10.2 Pg C. Large uncertainties in carbon stocks can be challenging for effective policymaking and inaccurately estimate climate mitigation potential. Here, we identify factors driving spatial and landscape variability by comparing five global mangrove soil carbon stock models. Using the ensemble mean, we generate a global soil carbon stock estimate of 4.13 ± 0.89 Pg C (to 1 m depth). Significant (P < 0.001) spatial variability occurred in Africa and Asia, with high standard deviation between models and limited data representation. High standard deviation occurred in specific geomorphic settings, including terrigenous, deltaic, carbonate and open coasts, within microtidal sites and regions of low and high species diversity. Our findings can help guide future research and reduce uncertainties in carbon stock estimates.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-51820-4first seen 2026-05-30 04:42:30 · last seen 2026-06-08 04:31:08
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