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.

人们早就知道动物从其他物种那里获得有关威胁的信息，但人们越来越意识到它们也可以从其他物种那里获得有关安全的信息。一些亚马逊鸟类生活在一起，在密切的协会和饲料，是一个理想的系统，以量化警报和安全信号的相对重要性。通过利用伐木和开发所产生的生态梯度，减少了共同生活的鸟类数量，该项目将是第一个比较和对比种间威胁和安全网络的项目，同时确定它们对人为挑战的鲁棒性。这些见解对于在人类改变环境变化的时代管理种群至关重要，这些结果将确定最终可能成为不同生物群落中物种相互作用驱动因素的关键行为机制。在此过程中，该项目将培训本科生和研究生，并将为加州州立大学长滩分校（主要是本科院校）和洛杉矶的加州大学的不同背景的学生建立一个地方学术桥梁。此外，该项目还将为加州两个学区的公立学校编制以探究为基础的课程计划，作为在秘鲁开展的研究活动所产生的持续推广努力的一部分，并向学生介绍作为科学榜样的各种人的更广泛的代表性，并揭开科学过程的神秘面纱。越来越多的人意识到，动物往往受益于其他物种成员发出的警报信号中包含的公共信息。虽然许多研究都集中在相关或相似物种的混合物种群体，但最近的一些例子说明了信号如何在非常不同的分类群体之间使用。尽管强调窃听警报信号，但动物也通过窃听其他物种发出的与威胁无关的声音来获取安全信息。了解公共信息景观中警报信号和安全线索之间的相互作用，对于了解通信在塑造群体内物种相互作用中的作用以及这如何影响更大的社区至关重要。该项目将研究亚马逊河鸟类混合物种群在森林退化梯度沿着全社区警报和安全窃听网络中的作用。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有多强大。这些见解对于预测生物群落如何在人类改变的环境变化中发生变化至关重要，这些结果将确定最终可能成为不同生物群落中物种相互作用驱动因素的关键行为机制。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。