Collaborative Research: Mathematical and experimental analysis of the interaction between competitors and a shared predator - from patches to landscapes

合作研究：对竞争对手和共同捕食者之间的相互作用进行数学和实验分析 - 从斑块到景观

• 批准号: 2246725
• 负责人: Jerome Goddard
• 金额: $ 15.57万
• 依托单位: Auburn University at Montgomery
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2246725&HistoricalAwards=false
• 关键词: Collaborative; Research; Mathematical; experimental; analysis

Ecologists today are faced with a most pressing concern: ensuring long-term survival and coexistence of species in the face of habitat loss and fragmentation. An innovative aspect of this project is the close integration of experimental and mathematical analyses to investigate impacts of habitat fragmentation, interspecific competition, and predation on coexistence of species at patch and landscape levels. This research will provide a more comprehensive understanding of the complex relationships that drive ecological systems and contribute to the development of effective conservation strategies. Two important questions regarding biology of interacting species are considered: 1) do predators affect the relationship between density and prey emigration, Allee effects and local or regional stability of prey species? and 2) does the presence of predators affect occurrence or strength of competition-dispersal, competition-reproduction or dispersal-reproduction tradeoffs and therefore coexistence of competitors? The project will also provide significant contributions towards analysis of mathematical models created to study this behavior via development of new tools to better understand model dynamics. Project results will be disseminated to the ecological and mathematical communities through various media including peer-reviewed mathematical and ecology journals and talks at national conferences. This project will involve training of graduate and undergraduate students through mentorship of independent research projects and PI-hosted workshops, with a session geared toward high-school students/teachers that focuses on illustrating value and applicability of mathematical models and ecological experiments to address societal problems. Moreover, an app that estimates key dispersal parameters from field data will be created and made publicly available.This project combines reaction-diffusion models, mathematical analysis, and experimental research to investigate how habitat fragmentation, conditional dispersal, interspecific competition, and predation influence population dynamics and species coexistence at single patch to landscape scales. The project will involve the study of diffusive Lotka-Volterra competition and predator-prey systems with nonlinear boundary conditions designed to model how density dependent emigration (DDE) affects the dynamics of species at different spatial scales and experiments with two Tribolium flour beetle species and a shared natural enemy to measure DDE relationships and life-history tradeoffs under predation pressure. The Investigators will develop and analyze mathematical models based on the experimental data to explore effects of DDE on coexistence, invasion, and pattern formation. This project is expected to be novel and significant by providing (1) much-needed experimental evidence that interspecific competitors and predators affect boundary behavior namely, the strength and form of DDE, and important life-history tradeoffs linked to species coexistence; (2) the first theoretical framework for the effects of conditional dispersal on the population dynamics and coexistence of competing species and a shared predator in fragmented landscapes; and (3) a significant contribution toward the analysis of systems of elliptic boundary value problems with nonlinear boundary conditions, to better understand model dynamics. Results from this study are expected to be applicable to conservation programs and reserve design. Specifically, this model framework can be used to investigate how Allee-like effects can arise from context-dependent dispersal to affect minimum patch sizes, carrying capacities, density-area relationships, species-area relationships, and multiple stable states.This project is jointly funded by the MPS Division of Mathematical Sciences (DMS) through the Mathematical Biology Program, the Established Program to Stimulate Competitive Research (EPSCoR), and the BIO Division of Environmental Biology through the Population and Community Ecology Cluster.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.

今天的生态学家面临着最紧迫的问题：在栖息地丧失和破碎的情况下确保物种的长期生存和共存。该项目的一个创新方面是实验和数学分析的紧密结合，以研究栖息地破碎化、种间竞争和捕食对斑块和景观水平上物种共存的影响。这项研究将更全面地了解驱动生态系统的复杂关系，并有助于制定有效的保护策略。考虑关于相互作用物种的生物学的两个重要问题：1）捕食者是否影响密度和猎物迁徙、阿利效应以及猎物物种的局部或区域稳定性之间的关系？ 2）捕食者的存在是否会影响竞争-分散、竞争-繁殖或分散-繁殖权衡的发生或强度，从而影响竞争者的共存？该项目还将通过开发新工具来更好地理解模型动态，为研究这种行为而创建的数学模型的分析做出重大贡献。项目成果将通过各种媒体传播到生态和数学界，包括同行评审的数学和生态学期刊以及全国会议上的演讲。该项目将通过独立研究项目的指导和 PI 主办的研讨会来培训研究生和本科生，其中一个课程面向高中生/教师，重点阐述数学模型和生态实验在解决社会问题方面的价值和适用性。此外，还将创建一个根据现场数据估计关键扩散参数的应用程序并公开。该项目结合了反应扩散模型、数学分析和实验研究，以研究栖息地破碎化、条件扩散、种间竞争和捕食如何影响单个斑块到景观尺度的种群动态和物种共存。该项目将涉及扩散Lotka-Volterra竞争和具有非线性边界条件的捕食者-被捕食系统的研究，旨在模拟密度依赖迁移（DDE）如何影响不同空间尺度物种的动态，并利用两种谷盗甲虫物种和一个共同的天敌进行实验，以测量捕食压力下的DDE关系和生活史权衡。研究人员将根据实验数据开发和分析数学模型，以探索 DDE 对共存、入侵和模式形成的影响。该项目预计将是新颖且重要的，因为它提供了（1）急需的实验证据，表明种间竞争者和捕食者影响边界行为，即DDE的强度和形式，以及与物种共存相关的重要生活史权衡； (2) 第一个理论框架，研究有条件扩散对破碎景观中种群动态以及竞争物种和共同捕食者共存的影响； (3) 对具有非线性边界条件的椭圆边值问题系统的分析做出了重大贡献，以更好地理解模型动力学。 这项研究的结果预计将适用于保护计划和保护区设计。具体来说，该模型框架可用于研究环境依赖性扩散如何产生类 Allee 效应，从而影响最小斑块大小、承载能力、密度-面积关系、物种-面积关系和多种稳定状态。该项目由 MPS 数学科学部 (DMS) 通过数学生物学计划、刺激竞争研究既定计划 (EPSCoR) 和生物科学部 BIO 部门共同资助。 通过人口和社区生态集群的环境生物学。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。