Collaborative Research: EAGER-NEON: Using Intraspecific Trait Variation to Understand Processes Structuring Continental-scale Biodiversity Patterns

了解不同类群和系统中群落组成的内部和外部驱动因素的变化有助于生态学理论和保护，特别是在面对快速全球变化时生态群落的复原力和组成。拟议的研究将使用国家生态观测网络(NEON)的数据来确定群落内部的组装过程(例如，生物相互作用、微环境异质性)和群落外部的大规模组装过程(例如，气候、土地利用)如何结合在一起，在大陆范围内影响种内特征变化和群落结构。无论是内部进程还是外部进程过滤社区对环境的反应，都将提高预测气候变化对社区影响的能力。这项拟议的工作还将通过一个普通的科学节为公众做出贡献；通过为美国生态学会贡献的模块来促进广泛的本科教育；通过本科生和博士后参与这项研究，为具体的教育做出贡献。拟议的研究将解决植物、地面甲虫和小型哺乳动物功能形态特征的种内变异的重要性。贝叶斯回归分析和贝叶斯结构方程模型将被用来揭示种内性状变异在构建大陆尺度生物多样性格局中的相对重要性。数据将来自霓虹灯标本、这些分类组的系统发育图以及霓虹灯环境和气候数据。这些分析将分离物种丰富度、系统发育关系和非生物变量对构建群落的内部和外部过滤器的相对影响的直接和间接影响。来自霓虹灯的物种和环境数据将提供一个前所未有的机会，使用标准化数据来检查大陆范围内跨几个分类组的多种特征的种内差异。这些分析将为其他科学家提供新的公共数据，并将通过现有的科学传播平台开展外联活动。

Understanding variation in the internal and external drivers of community composition across taxa and systems informs both ecological theory and conservation, particularly regarding the resilience and composition of ecological communities in the face of rapid global change. The proposed research will use National Ecological Observatory Network (NEON) data to determine how assembly processes internal to the community (e.g., biotic interactions, microenvironmental heterogeneity) and large-scale assembly processes external to the community (e.g., climate, land use) combine to affect intraspecific trait variation and community structure at a continental scale. Whether internal or external processes filter how communities respond to their environment will advance the ability to forecast effects of climate change on communities. The proposed work will also contribute to the public through a general science festival; to broad undergraduate education through modules contributed to the Ecological Society of America; and to specific education through the involvement of undergraduates and a postdoc in the research.The proposed research will address the importance of intraspecific variation of functional morphological traits of plants, ground beetles, and small mammals. Bayesian regression analyses and Bayesian structural equation modeling will be used to uncover the relative importance of intraspecific trait variation in structuring continental-scale biodiversity patterns. Data will be derived from NEON specimens, phylogenies for these taxonomic groups, and NEON environmental and climatic data. The analyses will separate the direct and indirect effect of species richness, phylogenetic relationships, and abiotic variables on the relative influences of internal and external filters that structure communities. Species and environmental data from NEON will provide an unprecedented opportunity to use standardized data to examine continental-scale intraspecific variation on multiple traits across several taxonomic groups. The analyses will contribute new public data for other scientists, and outreach will be developed through existing platforms for science dissemination.