RUI: Collaborative Research: Impact of Environmental Disturbance on Animal Behavior: Mathematical Models and Field Populations

RUI：合作研究：环境干扰对动物行为的影响：数学模型和野外种群

• 批准号: 0613899
• 负责人: Shandelle Henson
• 金额: --
• 依托单位: Andrews University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0613899&HistoricalAwards=false
• 关键词: RUI; Collaborative; Research; Impact; Environmental

We use an interdisciplinary methodology to model animal behavior; in particular, we rigorously connect compartmental ordinary differential equation and matrix models to behavior data from field populations. We will use mathematical models and field data to study the impact of bald eagle activity and climate change on the behavior and productivity of nesting seabirds. The work will also help reduce the schism between mathematics and biology by pursuing a paradigm of tight interdisciplinary vertical integration involving undergraduate students, graduate students, and research faculty.This research allows us to evaluate scientific questions such as: 1) Can mathematical equations predict animal behavior? In other words, is animal behavior largely deterministic? 2) Can mathematical equations accurately predict behavioral changes caused by human activity and climate change (such as global warming)? 3) How do such behavioral changes affect population viability? The ability to predict animal behavior in field populations also can be applied to such practical concerns as the spread of disease, including bird flu, Salmonella, Shigella, West Nile fever, and Lyme disease; reduction in the risk of bird-aircraft strikes, which cause major loss of human life and property; and wildlife management. Despite the accelerating use of mathematics in research biology, the schism between mathematics and academic biology has been very difficult to close, and is perpetuated at the undergraduate level. The investigators bring significant mathematical techniques into the biology classroom. Cross-disciplinary teaching by faculty from mathematics and biology, and an undergraduate research team, integrate mathematics and biology in an unprecedented way.

我们使用跨学科的方法来模拟动物的行为；特别是，我们严格地将分段常微分方程式和矩阵模型与来自野外种群的行为数据联系起来。我们将利用数学模型和野外数据研究秃鹰活动和气候变化对筑巢海鸟行为和生产力的影响。这项工作还将通过追求一种涉及本科生、研究生和研究人员的紧密跨学科垂直整合的范例，帮助减少数学和生物学之间的分裂。这项研究使我们能够评估以下科学问题：1)数学方程式能预测动物行为吗？换句话说，动物的行为在很大程度上是确定性的吗？2)数学方程能准确预测人类活动和气候变化(如全球变暖)引起的行为变化吗？3)这种行为变化如何影响种群的生存能力？预测野外种群中动物行为的能力也可以应用于实际问题，如疾病的传播，包括禽流感、沙门氏菌、志贺氏菌、西尼罗热和莱姆病；降低鸟撞飞机的风险，这会造成重大的生命和财产损失；以及野生动物管理。尽管数学在研究生物学中的应用越来越多，但数学和学术生物学之间的鸿沟一直很难弥合，而且在本科生水平上是永久存在的。研究人员将重要的数学技术带入生物课堂。由来自数学和生物的教师和本科生研究团队进行的跨学科教学，以前所未有的方式整合了数学和生物。