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
基本信息
- 批准号:2106103
- 负责人:
- 金额:$ 40.74万
- 依托单位:
- 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:
- 关键词:
项目摘要
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和应对环境压力。揭示这些相互作用的模式和驱动因素对于了解森林生态和改进管理做法非常重要。植物-真菌在土壤中的关联可以显著影响植物生长和陆地生态系统功能。本研究将利用几个现有的数据集,包括由国家生态观测网络(NEON)和美国林务局(USFS)收集的数据集,以了解:1)全国范围内植物-真菌关联的模式;2)影响这些关联的关键因素;3)植物与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,通过制定和验证植物-真菌关联的新理论。该项目的结果将为森林管理者、政策制定者和其他利益相关者提供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生态系统的信息。该项目将在多个阶段促进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时空尺度上的联系模式、驱动因素和后果。这些信息将有助于更好地预测它们所控制的基本生态系统功能。该项目将使用一个整体的、规模相关的框架来预测丛枝菌根(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时间生态系统功能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,阐明植物和菌根真菌的多样性模式;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量这两个关键森林生态系统功能的影响。通过在规模依赖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真菌的强大的全大陆分布图。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的丰富数据采样,该项目还将提供对这些驱动因素何时何地起到耦合或解耦植物和菌根真菌多样性的广泛理解。最后,通过将植物和菌根真菌多样性与其对植物生产力和土壤C储存和稳定性的影响联系起来,该项目将提高对生态系统对环境胁迫的恢复能力的理解。该项目将培养多样化的本科生和研究生、博士后学者,并将促进三名早期职业科学家的发展。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识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
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
- 影响因子:3.2
- 作者:R. King;J. Pullen;S. Cook-Patton;J. Parker
- 通讯作者: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:
- 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:
- 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:
- 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:
- 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.
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Songlin Fei其他文献
NEON-SD: A 30-m Structural Diversity Product Derived from the NEON Discrete-Return LiDAR Point Cloud
霓虹-SD:一种源自霓虹离散返回激光雷达点云的 30 米结构多样性产品
- DOI:
10.1038/s41597-024-04018-0 - 发表时间:
2024-10-29 - 期刊:
- 影响因子:6.900
- 作者:
Jianmin Wang;Dennis H. Choi;Elizabeth LaRue;Jeff W. Atkins;Jane R. Foster;Jaclyn H. Matthes;Robert T. Fahey;Songlin Fei;Brady S. Hardiman - 通讯作者:
Brady S. Hardiman
The impacts of training data spatial resolution on deep learning in remote sensing
训练数据空间分辨率对遥感深度学习的影响
- DOI:
10.1016/j.srs.2024.100185 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:5.200
- 作者:
Christopher Ardohain;Songlin Fei - 通讯作者:
Songlin Fei
Invasive species identification from high-resolution 4-band multispectral imagery
- DOI:
10.1007/s10530-024-03397-0 - 发表时间:
2024-07-18 - 期刊:
- 影响因子:2.600
- 作者:
Christopher Ardohain;Cameron Wingren;Bina Thapa;Songlin Fei - 通讯作者:
Songlin Fei
Forest plant invasions in the eastern United States: evidence of invasion debt in the wildland-urban interface
- DOI:
10.1007/s10980-024-01985-y - 发表时间:
2024-11-20 - 期刊:
- 影响因子:3.700
- 作者:
Kevin M. Potter;Kurt H. Riitters;Basil V. Iannone;Qinfeng Guo;Songlin Fei - 通讯作者:
Songlin Fei
Forest feature LiDAR SLAM (Fsup2/sup-LSLAM) for backpack systems
用于背包系统的森林特征激光雷达 SLAM(F²-LSLAM)
- DOI:
10.1016/j.isprsjprs.2024.04.025 - 发表时间:
2024-06-01 - 期刊:
- 影响因子:12.200
- 作者:
Tian Zhou;Chunxi Zhao;Cameron Patrick Wingren;Songlin Fei;Ayman Habib - 通讯作者:
Ayman Habib
Songlin Fei的其他文献
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{{ truncateString('Songlin Fei', 18)}}的其他基金
WORKSHOP: EXPLORING NEW DIMENSIONS OF FOREST ECOSYSTEMS WITH STRUCTURAL DIVERSITY
研讨会:探索具有结构多样性的森林生态系统的新维度
- 批准号:
1924942 - 财政年份:2019
- 资助金额:
$ 40.74万 - 项目类别:
Standard Grant
MSB-FRA Modeling Invasion Dynamics Across Scales (MIDAS)
MSB-FRA 跨尺度入侵动力学建模 (MIDAS)
- 批准号:
1638702 - 财政年份:2016
- 资助金额:
$ 40.74万 - 项目类别:
Standard Grant
Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework
预测区域入侵动态过程 (PRIDE) - 开发跨尺度、基于功能特征的建模框架
- 批准号:
1241932 - 财政年份:2013
- 资助金额:
$ 40.74万 - 项目类别:
Standard Grant
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- 批准号:10774081
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