Collaborative Research: MRA: Elucidating Plant and Mycorrhizal Fungal Relationships and Consequences across Space and Time

合作研究：MRA：阐明植物和菌根真菌的关系以及跨空间和时间的后果

• 批准号: 2106103
• 负责人: Songlin Fei
• 金额: $ 40.74万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106103&HistoricalAwards=false
• 关键词: Collaborative; Research; MRA; Elucidating; Plant

Many plants are dependent on belowground fungi to help them obtain nutrients and respond to environmental stress. Revealing the patterns and drivers of these interactions is important for understanding forest ecology and improving management practices. Plant-fungal associations in the soil can dramatically influence plant growth and terrestrial ecosystem function. This research will take the advantage of several existing datasets, including those collected by National Ecological Observatory Network (NEON) and the U.S. Forest Service (USFS), to understand: 1) nation-wide patterns of plant-fungal associations; 2) key factors that influence these associations; and 3) how plant-fungal interactions influence key ecosystem functions such as carbon cycling. This research project will contribute to the fields of microbial ecology, ecosystem science, and global change biology by formulating and testing new theories about plant-fungal associations. Results of the project will inform forest managers, policymakers, and other stakeholders on how to improve ecosystem management of plant and fungal biodiversity to promote sustainable ecosystems. The project will contribute to the professional development of diverse students at several stages.The goal of this project is to understand the patterns, drivers, and consequences of the linkages between plant and mycorrhizal fungal diversity across spatial and temporal scales. This information will enable better predictive understanding of essential ecosystem functions which they control. The project will use a holistic, scale-dependent framework that forecasts the strength and direction of arbuscular mycorrhizal (AM) and ectomycorrhizal (EM) fungal-plant associations, and provides greater insight about the consequences for ecosystem functioning across space and over time. Specific objectives of the project include: 1) elucidation of patterns of plant and mycorrhizal fungal diversity across scales by extensive DNA sequencing and analysis; 2) determination of key abiotic and biotic drivers of observed co-occurence patterns; and (3) forecasting the effects of plant-mycorrhizal fungal couplings on tree productivity and soil C storage, two key forest ecosystem functions. By linking multiple facets of both above- and belowground diversity in a scale-dependent context, the project will produce robust continental-wide distribution maps of AM and EM fungi for the first time. Leveraging data-rich sampling of putative biotic and abiotic drivers of plant and fungal diversity by NEON and the USFS, the project will also provide broad-scale understanding of when and where these drivers serve to couple or decouple plant and mycorrhizal fungal diversity. Finally, by linking plant and mycorrhizal fungal diversity to the consequences they have for plant productivity and soil C storage and stability, the project will improve understanding of ecosystem resilience to environmental stress. The project will train diverse undergraduate and graduate students, postdoctoral scholars, and will enhance the development of three early=career scientists.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

许多植物依赖地下真菌来帮助它们获取营养并应对环境压力。揭示这些相互作用的模式和驱动因素对于理解森林生态和改进管理实践非常重要。土壤中的植物-真菌关联可以极大地影响植物生长和陆地生态系统功能。这项研究将利用几个现有的数据集，包括国家生态观测站网络 (NEON) 和美国林务局 (USFS) 收集的数据集，以了解：1) 全国范围内的植物-真菌关联模式； 2）影响这些关联的关键因素； 3）植物-真菌相互作用如何影响碳循环等关键生态系统功能。该研究项目将通过制定和测试有关植物-真菌关联的新理论，为微生物生态学、生态系统科学和全球变化生物学领域做出贡献。该项目的结果将告知森林管理者、政策制定者和其他利益相关者如何改善植物和真菌生物多样性的生态系统管理，以促进可持续的生态系统。该项目将有助于不同阶段的不同学生的专业发展。该项目的目标是了解植物和菌根真菌多样性在空间和时间尺度上的联系的模式、驱动因素和后果。这些信息将使人们能够更好地预测性地了解他们控制的基本生态系统功能。该项目将使用一个整体的、与规模相关的框架，预测丛枝菌根（AM）和外生菌根（EM）真菌-植物关联的强度和方向，并提供关于跨空间和随时间推移生态系统功能的后果的更深入的见解。该项目的具体目标包括：1）通过广泛的 DNA 测序和分析，阐明跨尺度的植物和菌根真菌多样性模式； 2）确定观察到的共现模式的关键非生物和生物驱动因素； （3）预测植物-菌根真菌耦合对树木生产力和土壤碳储存（森林生态系统两个关键功能）的影响。通过在规模相关的背景下将地上和地下多样性的多个方面联系起来，该项目将首次生成 AM 和 EM 真菌的强大的大陆范围分布图。利用 NEON 和 USFS 对植物和真菌多样性的假定生物和非生物驱动因素进行的丰富数据采样，该项目还将广泛了解这些驱动因素何时何地耦合或解耦植物和菌根真菌多样性。最后，通过将植物和菌根真菌多样性与它们对植物生产力和土壤碳储存和稳定性的影响联系起来，该项目将增进对生态系统对环境压力的恢复能力的了解。该项目将培养多元化的本科生、研究生、博士后学者，并将促进三名早期职业科学家的发展。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Diversity stabilizes but does not increase sapling survival in a tree diversity experiment

• DOI: 10.1111/rec.13927
• 发表时间: 2023-05
• 期刊: Restoration Ecology
• 影响因子: 3.2
• 作者: R. King;J. Pullen;S. Cook-Patton;J. Parker

For the sake of resilience and multifunctionality, let's diversify planted forests!

• DOI: 10.1111/conl.12829
• 发表时间: 2021-07-16
• 期刊: CONSERVATION LETTERS
• 影响因子: 8.5
• 作者: Messier, Christian;Bauhus, Juergen;Zemp, Delphine Clara
• 通讯作者: Zemp, Delphine Clara

Imprint of tree species mycorrhizal association on microbial‐mediated enzyme activity and stoichiometry

树种菌根关联对微生物介导的酶活性和化学计量的影响

• DOI: 10.1111/1365-2435.14311
• 发表时间: 2023
• 期刊: Functional Ecology
• 影响因子: 5.2
• 作者: Zheng, Haifeng;Phillips, Richard P.;Rousk, Johannes;Yue, Kai;Schmidt, Inger Kappel;Peng, Yan;Wang, Senhao;Vesterdal, Lars
• 通讯作者: Vesterdal, Lars

Climate, soil mineralogy and mycorrhizal fungi influence soil organic matter fractions in eastern US temperate forests

气候、土壤矿物学和菌根真菌影响美国东部温带森林的土壤有机质成分

• DOI: 10.1111/1365-2745.14094
• 发表时间: 2023
• 期刊: Journal of Ecology
• 影响因子: 5.5
• 作者: Lang, Ashley K.;Pett‐Ridge, Jennifer;McFarlane, Karis J.;Phillips, Richard P.
• 通讯作者: Phillips, Richard P.

Soil carbon in the South Atlantic United States: Land use change, forest management, and physiographic context

美国南大西洋土壤碳：土地利用变化、森林管理和地理学环境

• DOI: 10.1016/j.foreco.2022.120410
• 发表时间: 2022
• 期刊: Forest Ecology and Management
• 影响因子: 3.7
• 作者: Nave, Lucas E.;DeLyser, Kendall;Domke, Grant M.;Holub, Scott M.;Janowiak, Maria K.;Ontl, Todd A.;Sprague, Eric;Viau, Nickolas R.;Walters, Brian F.;Swanston, Christopher W.
• 通讯作者: Swanston, Christopher W.