Mathematical Models of Foraging Seabirds

周围海鸟的空间扩散和觅食运动 南格鲁吉亚将审查猎物的分散， 环境异质性 觅食的数学模型， 最初为昆虫开发的传播将得到扩展， 为海鸟聚集、移动和觅食而修改。 两者 昆虫和海鸟系统涉及移动的消费者， 高度聚集的资源。 基于行为的 对海鸟的建模将解释种群的模式， 生态系统水平。 这种机械的分析方法， 分布式数据以前没有尝试过 海鸟 结果应大大改善 解释海上拍摄的海鸟空间数据。 到 构建模型，收集一系列放射状断面的数据 在筑巢季节，在南格鲁吉亚的鸟岛附近， 被利用 为了测试模型，在南格鲁吉亚的其他样带 在南方的冬天，集中在两个不同的物种， 饮食，普通潜水海燕和Kerguelen海燕，将是 进行。 物种间的空间格局 频谱分析将被描述， 个体将与种群的空间分布相联系 使用基于空间的偏微分方程模型。

The spatial dispersion and foraging movements of seabirds around South Georgia will be examined as to prey dispersion and environmental heterogeneity. Mathematical models of foraging and dispersal developed initially for insects will be extended and modified for seabird aggregation, movement and foraging. Both the insect and seabird systems involve mobile consumers that seek highly aggregated resources. The application of behavioral-based modeling to seabirds will explain patterns at the population and ecosystem levels. Such a mechanistic approach to analyses of distributional data has not previously been attempted with seabirds. The results should substantially improve the interpretation of spatial data on seabirds taken at sea. To construct models, data collected on a series of radial transects around Bird Island, South Georgia, during the nesting season will be used. To test the models, additional transects at South Georgia in the austral winter, concentrating on two species with different diets, the Common Diving-Petrel and Kerguelen Petrel, will be conducted. Spatial patterns between species using two-dimensional spectral analysis will be described and behavioral decisions of individuals will be linked to spatial dispersion of populations using spatially based models of partial differential equations.