Doctoral Dissertation Research: Diet, cognition, and nutrient cycling in wild orangutan habitats

博士论文研究：野生猩猩栖息地的饮食、认知和营养循环

• 批准号: 1613564
• 负责人: Erin Vogel
• 金额: $ 3.1万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1613564&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Diet; cognition

Primate cognitive evolution is thought to have been shaped, in part, by the need to navigate complex and variable environments in order to find food. However, the relationship between ecological variability and cognitive complexity is not fully understood for living primates. This doctoral dissertation project will use innovative and interdisciplinary methods to study the travel paths of Bornean orangutans through their environment, in order to understand how these primates fulfill specific nutritional targets and navigate their environment using prior information to reach those targets. A better understanding of what one of our closest living relatives knows about their resources, and how they utilize this information to make foraging decisions, provides a unique opportunity for deepening our understanding of the origins and evolution of complex cognition in our own species. This research will also support academic training and mentorship for students under-represented in STEM fields, foster international collaboration and scientific capacity building at the field location, and contribute to local conservation initiatives by providing a method to predict how, why and when orangutans will move through different parts of their habitat.There is increasing interest in the study of primate spatial cognition by analyzing travel paths of animals through their environment. Researchers tend to examine travel decisions through the lens of classical foraging theory, but the observed spatial behavior of animals rarely reflects the expectations set by foraging models. This may be because interpretations of foraging and travel decisions typically focus on calories, when in fact foragers may also have specific nutritional targets and navigate using prior information to reach those targets. This project will examine how spatial cognition facilitates nutritional balancing in primates by studying Bornean orangutans. Orangutans are an ideal model system because they live in highly variable environments, do not live in social groups, and thus make independent travel and foraging decisions. Most prior studies addressing spatial memory and diet have lacked the ecological correlates of cognition, or have struggled to quantify cognitive foraging in the wild. In this project, data on food distribution, availability, and nutrition will be quantified using a combination of manual sampling and modern remote sensing techniques. Data on ranging and foraging will be collected via focal observations in which dietary and GPS data will be collected at two minute intervals. Urine samples will be collected opportunistically to monitor nutritional and energetic status. These data will be analyzed by integrating a set of novel spatially explicit statistical techniques from movement ecology with the nutritional geometric framework from nutritional ecology.

灵长类动物的认知进化被认为部分是由于需要在复杂多变的环境中寻找食物而形成的。然而，生态变异性和认知复杂性之间的关系并没有完全理解的生活灵长类动物。这个博士论文项目将使用创新和跨学科的方法来研究婆罗洲猩猩通过其环境的旅行路径，以了解这些灵长类动物如何实现特定的营养目标，并使用先验信息来导航他们的环境以达到这些目标。 更好地了解我们最亲近的亲戚之一对他们的资源的了解，以及他们如何利用这些信息来做出觅食决策，为加深我们对我们自己物种复杂认知的起源和进化的理解提供了一个独特的机会。这项研究还将支持学术培训和指导学生在STEM领域的代表性不足，促进国际合作和科学能力建设在外地的位置，并有助于当地的保护举措，通过提供一种方法来预测如何，为什么以及何时猩猩会穿过栖息地的不同部分。通过分析猩猩的旅行路径来研究灵长类动物的空间认知越来越受到关注。动物通过环境。研究人员倾向于通过经典觅食理论的透镜来研究旅行决策，但观察到的动物空间行为很少反映觅食模型设定的期望。这可能是因为对觅食和旅行决策的解释通常集中在卡路里上，而事实上觅食者也可能有特定的营养目标，并使用先前的信息进行导航以达到这些目标。这个项目将通过研究婆罗洲猩猩来研究空间认知如何促进灵长类动物的营养平衡。猩猩是一个理想的模型系统，因为它们生活在高度可变的环境中，不生活在社会群体中，因此可以独立旅行和觅食。大多数先前的研究都涉及空间记忆和饮食，缺乏认知的生态相关性，或者难以量化野外的认知觅食。在这个项目中，将使用人工取样和现代遥感技术相结合的方法对粮食分配、供应和营养数据进行量化。将通过重点观察收集关于测距和觅食的数据，其中将每隔两分钟收集一次饮食和GPS数据。将适时采集尿液样本，以监测营养和能量状态。这些数据将通过整合一组新的空间显式统计技术从运动生态学与营养生态学的营养几何框架进行分析。