Collaborative Research: Frequency-dependence and its effects on ecological invasions

合作研究：频率依赖性及其对生态入侵的影响

• 批准号: 1145017
• 负责人: Michael Neubert
• 金额: $ 51万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1145017&HistoricalAwards=false
• 关键词: Collaborative; Research; Frequency; dependence; its

Ecological invasions occur when a species moves into an area where it was previously absent. Following this introduction, the population grows and the area occupied expands. If the species is a pest, the ecological and economic costs can be extreme. A key property of species invasions is the speed with which the species spreads across the landscape, the invasion speed. Mathematical models exist to calculate invasion speeds from basic demographic information, such as birth and survival rates, and from individual movements. Most models, however, ignore differences between male and female demographic and dispersal rates. These gender differences are suspected of limiting the success of real invasions, but are almost completely unexplored in the theory of invasions. This project will develop mathematical models for biological invasions in order to account for the interaction between two sexes. The theory will be capable of incorporating a variety of demographic, dispersal and environmental data. The first step will be to analyze models that distinguish only the sex of individuals. In reality, however, interactions between males and females, such as mating and reproduction, are usually age specific. Therefore the second stage of this research will analyze models that include both sex and age. The proposed research will promote teaching, training, and learning through presentations in courses and workshops for diverse participants, both in the United States and abroad, and by providing independent research experiences for undergraduate students. The models that will be developed will be broadly useful to ecologists and resource managers, and will inform efforts to conserve threatened species and to control populations of invasive and pest species. Incorporating sex differences in general models of population dynamics will expand our understanding of species invasions and reveal the situations in which these factors must be taken into account in applications.

当一个物种进入一个它以前没有的地区时，就会发生生态入侵。随着这一介绍，人口增长，占地面积扩大。如果该物种是一种有害生物，其生态和经济成本可能是极端的。物种入侵的一个关键特征是物种在景观中传播的速度，即入侵速度。现有的数学模型可以根据基本的人口统计信息（如出生率和存活率）和个体运动来计算入侵速度。然而，大多数模型都忽略了男女人口统计学和分散率之间的差异。这些性别差异被怀疑限制了真正入侵的成功，但在入侵理论中几乎完全没有被探索过。该项目将开发生物入侵的数学模型，以解释两性之间的相互作用。该理论将能够结合各种人口统计、分散和环境数据。第一步将是分析只区分个体性别的模型。然而在现实中，雄性和雌性之间的互动，比如交配和繁殖，通常是特定于年龄的。因此，本研究的第二阶段将分析包括性别和年龄的模型。拟议的研究将通过在美国和国外不同参与者的课程和研讨会上的演讲，以及为本科生提供独立的研究经验，促进教学、培训和学习。将开发的模型将对生态学家和资源管理者广泛有用，并将为保护受威胁物种和控制入侵物种和有害物种数量的努力提供信息。将性别差异纳入种群动态的一般模型将扩大我们对物种入侵的理解，并揭示在应用中必须考虑这些因素的情况。