Collaborative Research: Acoustic ecology of predator-prey interactions: encoding and decoding alarm calls in multispecies communication networks

合作研究：捕食者-猎物相互作用的声学生态学：多物种通信网络中警报呼叫的编码和解码

• 批准号: 1257286
• 负责人: Christopher Clark
• 金额: $ 41.5万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1257286&HistoricalAwards=false
• 关键词: Collaborative; Research; Acoustic; ecology; predator

Many animals produce alarm calls in response to danger. Recent research suggests that these important calls contain a previously-unsuspected amount of information about the specific type of danger (e.g. predator on the ground, hawk perched, flying hawk, threat level). In addition, it now appears that many different species of birds and mammals participate in complex communication networks that function as "distant early warning" systems about shared threats. This research project will focus on how distant early warning systems of animals work. The project will develop arrays of extremely sensitive microphones so that the acoustic landscapes of natural habitats can be monitored. The researchers will introduce live hawks of different types and extremely realistic robotic predators into the experimental habitats. This research will generate important information about natural distant early warning systems: How fast and how far do alarm calls spread in natural landscapes? How is information about threat type and threat level encoded in the alarm calls? Do all species of birds and mammals participate equally in these communication networks? In addition to novel information on how natural distant early warning systems work, this innovative project will generate new analytical tools for dealing with complex data about how information spreads in space and time. Resources generated during the project will be made freely available through the Macaulay Library (the world's largest repository of natural sounds) at The Cornell Lab of Ornithology (http://macaulaylibrary.org). This project will also include a large component of cross-training and mentoring of students in many STEM fields. In addition, the project will dovetail into the well-developed existing infrastructure for public education through Cornell's Laboratory of Ornithology Outreach program, The University of Montana's SpectrUM (an interactive science center), The Montana Natural History Center, and several other activities. Together these activities will reach many thousands of people per year.

许多动物在遇到危险时会发出警报。最近的研究表明，这些重要的叫声包含了关于特定危险类型(例如，地面上的捕食者、栖息的鹰、飞行的鹰、威胁级别)的先前未被怀疑的大量信息。此外，现在看来，许多不同物种的鸟类和哺乳动物都参与了复杂的通信网络，这些通信网络的功能是关于共同威胁的“远程预警”系统。这项研究项目将重点研究动物的远程预警系统是如何工作的。该项目将开发极灵敏的麦克风阵列，以便能够监测自然栖息地的声学景观。研究人员将把不同类型的活鹰和极其逼真的机器人捕食者引入实验栖息地。这项研究将产生关于自然远程预警系统的重要信息：警报信号在自然景观中传播的速度有多快，传播的距离有多远？有关威胁类型和威胁级别的信息在警报呼叫中是如何编码的？所有种类的鸟类和哺乳动物都平等地参与到这些交流网络中吗？除了关于自然远程预警系统如何工作的新信息外，这一创新项目还将产生新的分析工具，用于处理有关信息如何在空间和时间传播的复杂数据。项目期间产生的资源将通过康奈尔鸟类学实验室(http://macaulaylibrary.org).)的麦考利图书馆(世界上最大的自然声音储存库)免费提供该项目还将包括对许多STEM领域的学生进行交叉培训和指导的一大部分。此外，该项目将通过康奈尔大学鸟类学实验室推广计划、蒙大拿州大学SPECTRUM(一个互动科学中心)、蒙大拿州自然历史中心和其他几项活动，与现有的完善的公共教育基础设施相衔接。这些活动加在一起，每年将惠及成千上万的人。