INSPIRE Track 1::From population ecology to physics and back: understanding spatiotemporal synchrony using Ising class phase transitions in noisy dissipative models

INSPIRE 轨道 1::从种群生态学到物理学并返回：使用噪声耗散模型中的伊辛级相变来理解时空同步

• 批准号: 1344187
• 负责人: Alan Hastings
• 金额: $ 60万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1344187&HistoricalAwards=false
• 关键词: INSPIRE; Track; population; ecology; physics

This INSPIRE award is partially funded by the Population and Community Ecology Program in the Division of Environmental Biology in the Directorate for Biological Sciences and by the Emerging Frontiers Program in the Directorate for Biological Sciences, by the Condensed Matter and Materials Theory Program in the Division of Materials Research and Office of Multidisciplinary Activities in the Directorate for Mathematics and Physical Sciences, and by the Office of Integrative Activities. Spatial and temporal variability are common across many areas of study ranging from physics to ecology. In all areas, it is important to understand dynamics across space: under what conditions are dynamics synchronous across space and when is there a lack of spatial coherence? Ecologists have struggled to understand spatial synchrony for over a century, in part because lack of synchrony often promotes persistence of populations. Within physics, studies of magnetic materials or of crystal structures have posed similar questions about the coherence of states across space. This project will explain how broad-scale synchrony can arise from local couplings by mapping relevant ecological models to an equilibrium model developed in physics. The interdisciplinary team of researchers has preliminary data establishing a correspondence between ecological non-equilibrium models and the equilibrium properties of physical models. Research will build on these preliminary results to confirm the presence of phase transitions for a wide variety of systems, thus providing ways to unify approaches for understanding the dynamics of synchrony. The primary tools will be computer simulations that are complemented by analytic approximations that provide understanding of transitions. This combination will both provide a deep understanding of synchrony in ecological systems that is not model specific, and produce new models of interest within physics, thus benefitting both disciplines.This novel interdisciplinary project will contribute basic, new theory to the disparate fields of ecology and condensed matter physics by developing a basic understanding of the dynamics of synchrony at different spatial scales. Understanding of the emergence of spatially and temporally synchronous behavior in agroecological systems could have tremendous impact on effective management of plant and animal diseases, control of pests, agricultural strategies, and ultimately on food security. It is very rare that a theoretical project spanning two disparate disciplines has such potential to address questions of food security, providing novel ways to address a problem that will grow in importance with time. The researchers plan to train students in interdisciplinary approaches and will hold workshops both at the National Institute for Mathematical and Biological Synthesis and the Santa Fe Institute to provide broad dissemination of the approaches developed.

该 INSPIRE 奖的部分资金来自生物科学局环境生物学司的人口和社区生态学计划、生物科学司的新兴前沿计划、生物科学司的凝聚态和材料理论计划。数学和物理科学局的材料研究和多学科活动办公室以及综合活动办公室。空间和时间变异在从物理学到生态学的许多研究领域中都很常见。在所有领域，了解跨空间动态非常重要：在什么条件下动态跨空间同步以及何时缺乏空间相干性？一个多世纪以来，生态学家一直在努力理解空间同步性，部分原因是缺乏同步性往往会促进种群的持续存在。在物理学中，磁性材料或晶体结构的研究也提出了关于空间状态相干性的类似问题。该项目将通过将相关生态模型映射到物理学中开发的平衡模型来解释局部耦合如何产生大范围的同步。跨学科研究团队拥有初步数据，建立了生态非平衡模型与物理模型平衡特性之间的对应关系。研究将建立在这些初步结果的基础上，以确认各种系统是否存在相变，从而提供统一理解同步动态的方法。主要工具将是计算机模拟，并辅以分析近似，以提供对转变的理解。这种结合将提供对非特定模型的生态系统同步性的深入理解，并产生物理学中感兴趣的新模型，从而使这两个学科受益。这个新颖的跨学科项目将为生态学和生态学的不同领域贡献基础的新理论。通过发展对不同空间尺度同步动力学的基本理解来研究凝聚态物理。了解农业生态系统中时空同步行为的出现可能对植物和动物疾病的有效管理、害虫控制、农业战略以及最终对粮食安全产生巨大影响。跨越两个不同学科的理论项目具有解决粮食安全问题的潜力，为解决随着时间的推移而变得越来越重要的问题提供新的方法，这是非常罕见的。 研究人员计划对学生进行跨学科方法培训，并将在国家数学与生物合成研究所和圣达菲研究所举办研讨会，以广泛传播所开发的方法。