Modeling vegetation carbon stock and soil greenhouse gas emission dynamics in undrained degraded peat swamp forests of Indonesia and Peru.
インドネシアとペルーの未排水劣化泥炭湿地林における植生炭素ストックと土壌温室効果ガス排出動態のモデル化 (AI 翻訳)
E. Swails, K. Hergoualc’h, Jia Deng, S. Frolking
🤖 gxceed AI 要約
日本語
本研究は、未排水の劣化泥炭湿地林における植生炭素蓄積と土壌GHG排出の回復時間をモデル化。インドネシアとペルーを対象に、人為撹乱後の排出係数を導出し、植生炭素ストックは40〜80年で回復するが、CO2とN2Oの排出増加は数十年持続することを示した。IPCCガイドラインへの貢献が期待される。
English
This study models vegetation carbon and soil GHG emissions in undrained degraded peatlands in Indonesia and Peru. It derives emission factors for CO2, N2O, and CH4 after disturbances, showing vegetation recovery in 40–80 years but elevated GHG emissions persisting for decades. Findings are relevant for national GHG inventories and IPCC guidelines.
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
日本は東南アジアの泥炭地管理に関与しており、本研究成果は日本の国際協力や熱帯林保全策に示唆を与える。また、日本の排出インベントリ算定方法の改善にも間接的に貢献する可能性がある。
In the global GX context
This paper fills a critical gap in IPCC guidelines by providing emission factors for undrained degraded tropical peatlands. It offers recovery timelines and highlights the need to include these ecosystems in national GHG inventories, relevant to global climate reporting frameworks like the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides modeled emission factors and recovery times for degraded peatlands, useful for carbon cycle modelers and ecosystem scientists.
🏢実務担当者:Offers data on post-disturbance emissions and recovery that can inform land management and restoration projects in tropical peat forests.
🏛政策担当者:Supports the inclusion of undrained degraded peatlands in national GHG inventories, relevant for IPCC guidelines and UNFCCC reporting.
📄 Abstract（原文）
Data on vegetation carbon storage and soil greenhouse gas (GHG) dynamics in degraded undrained peatlands, and their recovery timeframes, are limited. Additionally, despite their important extent across the tropics, these systems remain unconsidered by the Intergovernmental Panel on Climate Change guidelines for GHG inventories. We modified the existing DeNitrification DeComposition model to simulate undegraded and degraded undrained peat swamp forests in Indonesia and Peru. We simulated partial clearing for agroforestry and burning in Indonesia, and in Peru selective timber harvesting and Mauritia flexuosa palm cutting for fruit harvest. Based on model results, we derived peat onsite CO2, N2O, and CH4 emission factors (EF), assessed timeframes for recovery of vegetation C stocks and peat GHG emissions, and investigated relationships among peat GHG fluxes and biophysical controls. Vegetation carbon stocks recovered 40 years after modeled disturbance in Indonesia, and 80 years post-disturbance in Peru. Simulated degradation increased the peat onsite CO2 EF during the first decade post-disturbance by 557% and 121% in Indonesia and Peru, respectively, with recovery by the second decade post-disturbance at both locations. Degradation also induced an increase in soil N2O emissions in Indonesia (344%) and Peru (323%), with elevations persisting for four decades. As in field observations, simulated disturbances tended to raise CH4 emissions in Indonesia and lower them in Peru, but not substantially. Temporal variations in modeled peat onsite CO2 and N2O EF were linked to degradation-driven changes in soil C:N ratio, and for peat CH4 fluxes to water table and soil moisture dynamics unrelated to disturbance. Our results suggest elevation of peat GHG emissions in these forests up to four decades after anthropogenic disturbances that need accounting in national GHG inventories.
🔗 Provenance — このレコードを発見したソース
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