A belowground framework for predicting how plant-microbe interactions couple carbon and nutrient economies of forests

用于预测植物-微生物相互作用如何耦合森林碳和养分经济的地下框架

• 批准号: 1153401
• 负责人: Richard Phillips
• 金额: $ 39.8万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1153401&HistoricalAwards=false
• 关键词: belowground; framework; predicting; how; plant

Temperate deciduous forests occupy millions of acres across the Eastern and Midwestern US and perform vital ecosystem services by storing carbon (C), improving water quality and mediating climate. These forests have undergone and are currently undergoing dramatic changes in forest composition owing to human activities. The goal of this research is to develop a predictive framework for examining how tree species and their associated soil microbes influence C and nutrient cycles in central hardwood forests. Much of what is known about the role of tree species in influencing C and nutrient cycling is based on measurements of processes occurring in the forest canopy, despite the fact that roots and other belowground processes play a vital role in storing C and releasing nutrients. This project will integrate observational and experimental plot-level data with models and satellite imagery to examine how trees with different symbiotic fungal associations influence C and nutrient dynamics. To determine the importance of belowground processes to C and nutrient cycling, trees will be experimentally girdled, a process which physically blocks the flow of sugars to roots. A predictive framework for scaling plot-level data of C-nutrient cycling to ecosystem, regional and global scales will be developed by updating a nutrient uptake model and developing a land cover classification from remotely sensed data. Collectively, these approaches will enable the incorporation of plant-soil interactions into C cycle-climate models, and result in novel insights into how shifts in forest composition may influence ecosystem functioning.This multidisciplinary project will provide integrative training of undergraduate and graduate students in ecology, ecosystem modeling, and remote sensing. Moreover, the results of this research will be disseminated through reports developed for public land managers (state and federal forests). Reports designed for private landowners will also be produced to disseminate this information. Knowledge about C and nutrient dynamics in forests containing different tree species will enable private landowners, state extension offices and NGOs to make management decisions that enhance ecosystem services such as C storage. Importantly, this knowledge will enable the incorporation of critical plant-soil interactions into regional scale models of C cycling, and address a critical knowledge gap in the ability of policy makers to predict climate change impacts.

温带落叶森林在美国东部和中西部占地数百万英亩，并通过储存碳（C），改善水质和中介气候来执行重要的生态系统服务。这些森林已经发生了，目前正在由于人类活动而经历森林组成的巨大变化。这项研究的目的是开发一个预测框架，用于研究中央硬木森林中的树种及其相关的土壤微生物如何影响C和养分周期。尽管根和其他地下过程在储存C和释放营养素方面起着至关重要的作用，但关于树种在影响C和营养循环影响C和营养循环中的作用的许多已知性都是基于对森林冠层过程中发生的过程的测量。该项目将将观察性和实验图级数据与模型和卫星图像整合在一起，以检查具有不同共生真菌关联的树木如何影响C和营养动力学。为了确定地下过程对C和营养循环的重要性，树木将在实验上被束缚，该过程可以物理地阻断糖流向根部。通过更新养分吸收模型并从远程感知的数据中开发土地覆盖分类，将开发一个C-Nutrient循环到生态系统，区域和全球尺度的图级数据的预测框架。总的来说，这些方法将使植物土壤相互作用融合到C周期气候模型中，并使人们对森林组成中的转变如何影响生态系统的功能有新的见解。该多学科项目将提供对本科和研究生的综合培训，研究生生态系统模型，生态系统建模和远程感应。此外，这项研究的结果将通过针对公共土地管理者（州和联邦森林）开发的报告来传播。为私人土地所有者设计的报告还将用于传播此信息。关于包含不同树种的森林中C和营养动态的知识将使私人土地所有者，州扩展办公室和非政府组织能够做出管理决策，以增强生态系统服务，例如C储存。重要的是，这些知识将使关键的植物土壤相互作用融入到C骑自行车的区域尺度模型中，并解决决策者预测气候变化影响的能力的关键知识差距。

项目成果

Mycorrhizal roots slow the decay of belowground litters in a temperate hardwood forest

• DOI: 10.1007/s00442-021-05051-1
• 发表时间: 2021-10-09
• 期刊: OECOLOGIA
• 影响因子: 2.7
• 作者: Beidler，Katilyn;Oh，Young E.;Phillips，Richard P.
• 通讯作者: Phillips，Richard P.

Stable isotopes reveal that fungal residues contribute more to mineral-associated organic matter pools than plant residues

• DOI: 10.1016/j.soilbio.2022.108634
• 发表时间: 2022-05-01
• 期刊: SOIL BIOLOGY & BIOCHEMISTRY
• 影响因子: 9.7
• 作者: Klink, Saskia;Keller, Adrienne B.;Pausch, Johanna
• 通讯作者: Pausch, Johanna