MSB-ECA: Phylogenetically-informed modeling of the regional context of community assembly

生态学家利用诸如国家生态观测站网络（NEON）等项目的观测结果，在了解物种群落如何适应环境变化方面取得了很大进展。这个项目建立在这一进展的基础上，在物种进化史的背景下研究物种群落，询问近亲对环境变化的反应是否相似（或不同）。这项研究将首先关注在NEON站点观察到的植物、哺乳动物和鸟类的建模，利用这些信息来预测非本地物种可能入侵和退化这些群落提供的宝贵生态系统服务的区域。在这些基础上，这个项目将建立统计模型并预测物种？协会，让我们深入了解昂贵的甲虫虫害爆发和可以携带疾病的蜱虫。作为这项工作的一部分，将编写教材，帮助代表性不足的群体发展数据科学技能，并利用NEON公开提供的数据。此外，该项目将为犹他州立大学的美国原住民STEM指导计划开发一门数据科学课程，重点关注NEON数据的使用和分析。整合生物多样性分布的跨尺度驱动因素需要了解正在进行的生态和历史演变。物种?共同的进化史反映了塑造它们的生物地理历史，并能告诉我们物种的限制？现在的生态。将局地尺度的生态群落组合与宏观尺度的区域组合和性状演化相结合。进化是生态过程发生的背景：如果不解决系统发育背景，就不可能有宏观尺度的生态学综合。这将通过三个主要研究目标来实现：(1)开发和发布在NEON站点及其周围发现的北美植物、鸟类、哺乳动物、甲虫和蜱虫的新数据集；(2)扩展先前的物种进化分析（系统发育广义线性混合模型；pglmm） ？环境耐受性，以测试NEON站点内植物、鸟类和哺乳动物局部竞争的宏观进化模型；(3)将这些模型扩展到跨行业互动，重点关注植物-甲虫和哺乳动物-蜱虫的关联。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。

Ecologists have made great progress using observations from projects such as the National Ecological Observatory Network (NEON) to understand how communities of species will adapt to environmental change. This project builds on this progress by examining communities of species within the context of their evolutionary history, asking whether close relatives respond similarly (or differently) to environmental change. This research will focus first on modelling the plants, mammals, and birds observed at NEON sites, using this information to predict regions where non-native species could invade and degrade the valuable ecosystem services that these communities provide. Building on these foundations, this project will statistically model and predict species? associations, giving insight into costly beetle pest outbreaks and ticks that can carry diseases. As part of this work, teaching materials will be developed to help under-represented groups develop data science skills and make use of the data publicly available from NEON. Additionally, the project will develop a data science class for the Native American STEM Mentorship Program at Utah State, focusing on the use and analysis of NEON data.Integrating the cross-scale drivers of the distribution of biodiversity requires an understanding of both ongoing ecology and historic evolution. Species? shared evolutionary history reflects the biogeographical history that shaped them, and can inform us of constraints on species? ecology in the present. This proposal will integrate local-scale ecological community assembly with macro-scale regional assembly and trait evolution. Evolution is the context within which ecological processes take place: there can be no macro-scale synthesis of ecology without addressing phylogenetic context. This will be achieved through three major research objectives: (1) develop and release new datasets of North American plants, birds, mammals, beetles, and ticks found at and around NEON sites; (2) extend previous analyses (Phylogenetic Generalized Linear Mixed Models; PGLMMs) of the evolution of species? environmental tolerances to test macro-evolutionary models of local-scale competition within the plants, bird, and mammals of the NEON sites; and (3) extend these models to incorporate cross-guild interactions, focusing on plant-beetle and mammal-tick associations.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.