SG: Leveraging massive song databases and deep learning to examine the mechanisms causing diversification of bird vocalizations.

SG：利用海量歌曲数据库和深度学习来研究导致鸟类发声多样化的机制。

• 批准号: 2016189
• 负责人: Bryan Carstens
• 金额: $ 19.98万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016189&HistoricalAwards=false
• 关键词: SG; Leveraging; massive; song; databases

Bird songs provide a fascinating example of animal communication that help birds find mates, hold territories, and more. Like human language, bird songs can change over time and across the range of a given species. The evolution of song differences is thought to be an important component in the formation of new bird species. However, biologists' understanding how bird songs evolve over space and time, and what causes their evolution, is incompletely known. This project will analyze decades of field recordings made by ornithologists and birding enthusiasts, combined with existing genetic data, to test hypotheses related to the evolution of bird song in multiple species across the continental United States. It will develop software to evaluate differences in bird calls across the range of many species and integrate these data with data on genetic, geographic, and environmental variation to test hypotheses about the causes and consequences of bird song evolution. This project will involve collaboration with computer scientists and software engineers to advance the field of computational biology and "big data" analysis for biological questions. Undergraduate students will have the opportunity to participate in the research, learn important skills in computational biology, and have novel experiences inside and outside of the classroom. Birds are well known for possessing a diverse array of songs and calls that mediate social behavior, reproduction, and communication. Within a single species, bird vocalizations change through space and time due to the influence of drift, selection and mate choice, but there is a relative lack of knowledge about how biogeographic history and community dynamics across larger regions influence the evolution of bird vocalizations and speciation. This project will use large datasets available both for bird vocalizations and phylogeography to analyze relationships between vocalizations, geography, history, and community composition, for multiple species, on a continental scale. The project will assess the impact that Plio-Pleistocene glacial cycles had on phylogeography and vocalizations within species and across communities and test hypotheses regarding the evolutionary drivers of song divergence. The proposed work will develop pipelines to collect massive amounts of song data, process it algorithmically, integrate it into existing pipelines for the analysis of phylogeographic data, contrast these data to environmental predictor variables, and ultimately test hypotheses of divergence. This work will provide the groundwork for the integration of phenotypic and genetic databases to investigate diversification of bird vocalization on a global scale.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.

鸟类的歌声提供了一个迷人的例子，动物沟通，帮助鸟类找到配偶，持有领土，等等。就像人类的语言一样，鸟类的歌声也会随着时间的推移和特定物种的范围而变化。鸣唱差异的进化被认为是新鸟类物种形成的重要组成部分。然而，生物学家对鸟类歌声如何在空间和时间上进化，以及是什么导致了它们的进化的理解并不完全清楚。该项目将分析鸟类学家和观鸟爱好者几十年来的野外记录，结合现有的遗传数据，以测试与美国大陆多个物种鸟类歌声进化相关的假设。它将开发软件来评估许多物种之间鸟类叫声的差异，并将这些数据与遗传，地理和环境变化的数据相结合，以测试有关鸟类鸣叫进化的原因和后果的假设。该项目将涉及与计算机科学家和软件工程师的合作，以推进计算生物学和生物问题的“大数据”分析领域。本科生将有机会参与研究，学习计算生物学的重要技能，并在课堂内外获得新颖的体验。众所周知，鸟类拥有各种各样的歌曲和叫声，这些歌曲和叫声可以调节社会行为，繁殖和交流。在一个单一的物种，鸟类发声通过空间和时间的变化，由于漂移，选择和配偶选择的影响，但有一个相对缺乏知识的地理历史和社区动态如何在更大的区域影响鸟类发声和物种的进化。该项目将使用可用于鸟类发声和鸟类地理学的大型数据集来分析发声，地理，历史和社区组成之间的关系，在大陆范围内为多个物种。该项目将评估上新世-更新世冰川周期对物种内和社区内的生态地理和发声的影响，并测试关于歌曲分歧的进化驱动因素的假设。拟议的工作将开发管道来收集大量的歌曲数据，对其进行算法处理，将其整合到现有的管道中，用于分析非线性地理数据，将这些数据与环境预测变量进行对比，并最终测试发散假设。这项工作将为整合表型和遗传数据库提供基础，以调查全球范围内鸟类发声的多样性。该奖项反映了NSF的法定使命，并被认为值得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来支持。