NSF Postdoctoral Fellowship in Biology FY 2019: The function of vocal learning ability in African elephants

2019 财年 NSF 生物学博士后奖学金:非洲象声音学习能力的作用

基本信息

  • 批准号:
    1907122
  • 负责人:
  • 金额:
    $ 20.7万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Fellowship Award
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-11-01 至 2023-10-31
  • 项目状态:
    已结题

项目摘要

This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2019, Broadening Participation of Groups Under-represented in Biology. The fellowship supports a research and training plan for the Fellow that will increase the participation of groups underrepresented in biology. A key attribute of human language is vocal learning, or the ability to learn to produce new sounds, which is only found in a limited number of other species. Understanding the few cases in which vocal learning has evolved could therefore shed light on the evolutionary origins of language. One possible function of vocal learning is that it allows animals to make their calls sound more like those of their social group members, which serves as a sign of group membership. Another possible function is to allow animals to learn unique sounds to address specific individuals, similar to the way in which humans use names. The Fellow will test both of these hypotheses in African elephants, in which vocal learning is known to occur but is poorly understood. Understanding why elephants have developed vocal learning could provide insight into the conditions that led to the evolution of this unusual but important ability in human ancestors. This project will also provide mentorship and outreach programs for students from underrepresented groups, and will contribute to the Fellow's professional development.To test the hypothesis that elephants learn vocal signatures of group identity, the Fellow will determine if the calls of group members are more similar than the calls of members of different groups independent of relatedness. To determine if elephants recognize close and distant associates at the individual or group level, the Fellow will play back two overlapping calls from the same caller, which should only violate the subjects' expectations if they recognize the caller at the individual level. To test the hypothesis that elephants vocally label conspecifics, the Fellow will determine whether the acoustic structure of a contact call varies according to the intended recipient of the call, and whether individuals are more likely to respond to playbacks of a call that was originally directed towards them, independent of the identity of the caller. The Fellow will hone quantitative skills in acoustic analysis and statistics, and will gain career-enhancing experience in conservation biology through collaboration with other members of the sponsoring lab. The Fellow will also mentor undergraduates conducting acoustic ecology research, and teach workshops at local Hispanic-serving schools.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.
该行动资助 2019 财年 NSF 生物学博士后研究奖学金,扩大生物学领域代表性不足群体的参与。该奖学金支持该研究员的研究和培训计划,该计划将增加生物学领域代表性不足的群体的参与。人类语言的一个关键属性是发声学习,或者说学习发出新声音的能力,这种能力只存在于少数其他物种中。因此,了解声音学习进化的少数案例可以揭示语言的进化起源。声音学习的一个可能的功能是,它允许动物使它们的叫声听起来更像它们的社会群体成员的声音,这是群体成员身份的标志。另一个可能的功能是让动物学习独特的声音来称呼特定的个体,类似于人类使用名字的方式。该研究员将在非洲象中测试这两个假设,已知非洲象会发生发声学习,但人们对此知之甚少。了解大象为何发展出声音学习能力,可以帮助我们深入了解人类祖先进化出这种不寻常但重要的能力的条件。该项目还将为来自代表性不足群体的学生提供指导和外展计划,并将有助于研究员的专业发展。为了检验大象学习群体身份的声音特征的假设,研究员将确定群体成员的叫声是否比不同群体成员的叫声更相似,而与相关性无关。为了确定大象是否在个人或群体层面上识别出亲密和遥远的伙伴,研究员将回放来自同一呼叫者的两个重叠呼叫,只有当受试者在个人层面上识别出呼叫者时,这才会违反受试者的期望。为了测试大象通过声音标记同种动物的假设,研究员将确定接触呼叫的声学结构是否根据呼叫的预期接收者而变化,以及个体是否更有可能对最初针对他们的呼叫的回放做出反应,而与呼叫者的身份无关。该研究员将磨练声学分析和统计方面的定量技能,并将通过与资助实验室的其他成员合作获得保护生物学方面的职业提升经验。该研究员还将指导本科生进行声生态学研究,并在当地为西班牙裔服务的学校举办讲习班。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
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Michael Pardo其他文献

410 Can a Specific mRNA Signature in Esophageal Biopsies Provde a Diagnosis of Eosinophilic Esophagitis?
  • DOI:
    10.1016/s0016-5085(13)60295-4
  • 发表时间:
    2013-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Samuel Nurko;Lan Hu;Michael Pardo;Katharine Rooney;Jessica La Rosa;Edda Fiebiger
  • 通讯作者:
    Edda Fiebiger
Interactive Digital Health Tools to Engage Patients and Caregivers in Discharge Preparation: Implementation Study (Preprint)
让患者和护理人员参与出院准备的交互式数字健康工具:实施研究(预印本)
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Theresa E. Fuller;Denise D Pong;Nicholas R. Piniella;Michael Pardo;Nate Bessa;Catherine S. Yoon;Robert B Boxer;J. Schnipper;Anuj K. Dalal
  • 通讯作者:
    Anuj K. Dalal

Michael Pardo的其他文献

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