RUI/Collaborative Research: The Relative Importance of Alarm and Safety Communication Networks in an Amazonian Bird Community

RUI/合作研究：亚马逊鸟类群落中警报和安全通信网络的相对重要性

• 批准号: 2032469
• 负责人: Ari Martinez
• 金额: $ 51.25万
• 依托单位: California State University-Long Beach Foundation
• 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: 2021-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2032469&HistoricalAwards=false
• 关键词: RUI; Collaborative; Research; Relative; Importance

It has long been known that animals obtain information about threats from other species, but there is a growing awareness that they also may obtain information about safety from other species. Some Amazonian birds live and forage together in close associations and are an ideal system to quantify the relative importance of alarm and safety signaling. By capitalizing on ecological gradients created by logging and development, which have reduced the number of birds living together, this project will be among the first to compare and contrast interspecific threat and safety networks and while doing so determine how robust they are to anthropogenic challenges. These insights are foundationally important to manage populations in an era of human modified environmental changes, and these results will identify key behavioral mechanisms that may ultimately be drivers for species interactions in diverse biological communities. While doing so, this project will train students at the undergraduate and graduate level and will generate a local academic bridge for students from diverse backgrounds at California State University Long Beach, a primarily undergraduate institution, and the University of California at Los Angeles. Additionally, this project will generate inquiry-based lesson plans for public schools in two California school districts as part of an ongoing outreach effort stemming from research activities in Peru and present students with a broader representation of diverse people as role models in science and to demystify the scientific process. There is a growing awareness that animals often benefit from the public information contained in alarm signals produced by members of other species. While much research has focused on mixed-species groups of related or similar species, some recent examples illustrate how signals are also used between quite distinct taxonomic groups. Despite the emphasis on eavesdropping on alarm signals, animals also acquire information about safety by eavesdropping on the non-threat-related sounds produced by other species. Understanding the interplay between alarm signals and cues of safety within the public information landscape is essential to understand the role of communication in shaping species interactions within groups and how this influences the larger community. This project will study the roles of mixed-species flocks of Amazonian birds in community-wide alarm and safety eavesdropping networks along a gradient of forest degradation. Results will identify the relative importance of these networks and how robust these systems are to the loss of individual species. These insights are foundationally important to predict how biological communities may change across human modified environmental changes, and these results will identify key behavioral mechanisms that may ultimately be drivers for species interactions in diverse biological communities.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.

长期以来，人们已经知道，动物获得了有关其他物种威胁的信息，但是人们越来越认识他们也可能会从其他物种那里获得有关安全的信息。一些亚马逊鸟在密切的关联中一起生活和觅食，是量化警报和安全信号传导相对重要性的理想系统。通过利用伐木和开发产生的生态梯度，减少了鸟类的数量，该项目将成为第一个比较和对比种间威胁和安全网络的项目之一，同时确定它们对人类挑战的强大程度。这些见解对于在人类修改的环境变化时代管理人群至关重要，这些结果将确定关键的行为机制，这些机制最终可能是各种生物群落中物种相互作用的驱动因素。在这样做的同时，该项目将在本科和研究生层面培训学生，并为来自加利福尼亚州立大学长滩的不同背景的学生（主要是本科机构）和加利福尼亚大学洛杉矶分校建立一座当地的学术桥梁。此外，该项目将为两个加利福尼亚学区的公立学校制定基于询问的课程计划，这是秘鲁的研究活动的持续推广工作的一部分，并向学生展示了对科学领域的榜样的更广泛代表，并宣传了各种各样的人。科学过程。人们越来越意识到，动物通常会受益于其他物种成员产生的警报信号中包含的公共信息。尽管许多研究集中在相关或类似物种的混合物种组上，但最近的一些示例说明了如何在完全不同的分类学组之间使用信号。尽管强调窃听警报信号，但动物还通过窃听其他物种产生的无威胁相关声音来获取有关安全性的信息。了解公共信息景观中警报信号和安全性线索之间的相互作用对于了解沟通在塑造群体内的物种相互作用以及这如何影响较大社区中的作用至关重要。该项目将研究亚马逊鸟类混合物种群在社区范围内的警报和安全性窃听网络中的作用，沿着森林退化的梯度。结果将确定这些网络的相对重要性以及这些系统对单个物种的损失的鲁棒性。这些见解对于预测人类修改的环境变化可能会发生变化而在基础上很重要，这些结果将确定关键的行为机制，最终可能是各种生物学群落中物种相互作用的驱动因素。这一奖项反映了NSF的法定任务，并被视为值得的。通过基金会的智力优点和更广泛的影响评估标准通过评估来支持。