Soil bacteria community characteristics and their regulatory mechanisms on greenhouse gas emissions in island forests of the Sanjiang Plain
三江平原の島状森林における土壌細菌群集特性と温室効果ガス排出の制御メカニズム (AI 翻訳)
Jin-Bo Li, Yu Zhang, Yu-Tong Ma, Zhao-Dong Cui, Nan Xu, Hai-Xiu Zhong
🤖 gxceed AI 要約
日本語
三江平原の4つの島状森林タイプを対象に、土壌理化学性と細菌群集が温室効果ガス（CO2、CH4、N2O）排出に及ぼす影響を調査。森林タイプごとに土壌特性と細菌群集が異なり、CO2排出は土壌因子と細菌構造の両方に、CH4吸収は細菌媒介経路に、N2O排出は主に地温に依存することを明らかにした。
English
This study investigates four island forest types in the Sanjiang Plain, examining how soil properties and bacterial communities influence greenhouse gas emissions (CO2, CH4, N2O). Results show that forest types shape distinct soil and bacterial characteristics; CO2 is co-regulated by soil factors and bacterial structure, CH4 uptake is entirely bacteria-mediated, and N2O is primarily driven by soil temperature, highlighting gas-specific regulatory mechanisms.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
In the global GX context
This paper contributes to understanding the microbial mechanisms underlying greenhouse gas fluxes from forest soils, which is relevant for global carbon cycle modeling and natural climate solutions, though it does not directly address corporate disclosure or policy frameworks.
👥 読者別の含意
🔬研究者:Provides empirical evidence on bacteria-mediated pathways for GHG emissions in forest soils, useful for ecosystem modeling and microbial ecology.
🏛政策担当者:Offers insights for forest management strategies aimed at mitigating GHG emissions, suggesting gas-specific approaches.
📄 Abstract（原文）
This study focused on four typical island forest types ( Populus davidiana , Betula platyphylla , Quercus mongolica , and mixed forest) in the Sanjiang Plain to investigate the differences in soil physicochemical properties and bacterial community characteristics across forest types and their subsequent influence on greenhouse gas (CO 2 , CH 4 , and N 2 O) emissions. Results showed that different forest types significantly shaped distinct soil physicochemical properties: Betula platyphylla forests exhibited the highest soil moisture content, Quercus mongolica forests showed significant enrichment in organic carbon and total nitrogen, while mixed forests had the highest pH and available nitrogen levels. Bacteria community characteristics subsequently displayed forest-type specificity: Betula platyphylla forests had the highest α-diversity and stronger predicted nitrification-related functions; although mixed forests had the lowest α-diversity, the number of differential species was second only to Betula platyphylla , and stochastic processes (drift and dispersal) had a stronger influence on community assembly than in other forest types; Populus davidiana and Quercus mongolica forests had similar bacteria diversity but markedly different network structures. Co-occurrence network analysis revealed that Betula platyphylla and mixed forests formed highly integrated and robust interaction networks (high connectivity, low modularity, rich in connector and hub nodes), whereas the Quercus mongolica network exhibited a fragmented and fragile structure. Cascade path analysis based on partial least squares path models further discovered that the three greenhouse gases were governed by distinctly different mechanisms: CO 2 emission was co-regulated by the direct effects of soil factors (temperature, moisture) and the indirect effects of bacteria community structure; CH 4 uptake was entirely dependent on bacteria-mediated dual pathways; in contrast, N 2 O emission was largely directly associated with soil temperature, with bacteria attributes showing no significant mediating effect in our model. This study reveals distinct regulatory pathways from forest type to greenhouse gas fluxes, highlighting the gas-specific roles of bacteria communities. The findings underscore the necessity of considering bacteria community assembly and network interactions for a comprehensive understanding of forest GHG emissions and suggest that management strategies for mitigating different greenhouse gases may need to be gas-specific.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3389/fevo.2026.1850972first seen 2026-05-26 05:19:00 · last seen 2026-06-08 05:29:45
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