Suppr超能文献

根际激发的合成与建模视角。

Synthesis and modeling perspectives of rhizosphere priming.

机构信息

Environmental Studies Department, University of California, Santa Cruz, CA, 95064, USA.

State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang, 110016, China.

出版信息

New Phytol. 2014 Jan;201(1):31-44. doi: 10.1111/nph.12440. Epub 2013 Aug 19.

Abstract

The rhizosphere priming effect (RPE) is a mechanism by which plants interact with soil functions. The large impact of the RPE on soil organic matter decomposition rates (from 50% reduction to 380% increase) warrants similar attention to that being paid to climatic controls on ecosystem functions. Furthermore, global increases in atmospheric CO2 concentration and surface temperature can significantly alter the RPE. Our analysis using a game theoretic model suggests that the RPE may have resulted from an evolutionarily stable mutualistic association between plants and rhizosphere microbes. Through model simulations based on microbial physiology, we demonstrate that a shift in microbial metabolic response to different substrate inputs from plants is a plausible mechanism leading to positive or negative RPEs. In a case study of the Duke Free-Air CO2 Enrichment experiment, performance of the PhotoCent model was significantly improved by including an RPE-induced 40% increase in soil organic matter decomposition rate for the elevated CO2 treatment--demonstrating the value of incorporating the RPE into future ecosystem models. Overall, the RPE is emerging as a crucial mechanism in terrestrial ecosystems, which awaits substantial research and model development.

摘要

根际激发效应(RPE)是植物与土壤功能相互作用的一种机制。RPE 对土壤有机物质分解速率的巨大影响(从减少 50%到增加 380%)需要得到与气候对生态系统功能控制相同的重视。此外,大气 CO2 浓度和地表温度的全球增加会显著改变 RPE。我们使用博弈论模型进行的分析表明,RPE 可能是植物和根际微生物之间稳定的互利共生关系的结果。通过基于微生物生理学的模型模拟,我们证明了微生物对不同植物底物输入的代谢反应的转变是导致 RPE 为正或负的一种合理机制。在杜克大学自由空气 CO2 富集实验的案例研究中,通过包括 RPE 诱导的升高 CO2 处理中土壤有机物质分解率提高 40%,PhotoCent 模型的性能得到了显著改善——这表明将 RPE 纳入未来生态系统模型的价值。总的来说,RPE 正在成为陆地生态系统中的一个关键机制,这需要进行大量的研究和模型开发。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验