Collaborative Research: Evolutionary Resilience and Species Persistence in Disturbed Habitats

合作研究：受干扰栖息地的进化弹性和物种持久性

• 批准号: 1714386
• 负责人: Daniel Bolnick
• 金额: $ 20万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1714386&HistoricalAwards=false
• 关键词: Collaborative; Research; Evolutionary; Resilience; Species

Globally, humans are causing substantial environmental perturbations, and these perturbations are likely to become more frequent and more severe in the future. Such disturbances can have profound impacts on the structure of ecological communities (e.g. species diversity and abundance) and on the ecosystem services that those communities provide. Given the potential significance of such changes for human well-being, it is essential that we develop effective tools to predict these ecological and ecosystem impacts. Traditionally, the study of the resilience of ecological communities to severe environmental perturbations (e.g. hurricanes, floods) has focused on ecological processes. However, there is mounting evidence that feedbacks between the ecological and evolutionary processes (eco-evolutionary feedbacks) occur over commensurate time scales. This raises the possibility that evolutionary processes may play an important role in community resilience and species persistence. This project tackles the challenges posed by this possibility by developing a mathematical framework for analyzing models of disturbance which account for eco-evolutionary feedbacks and applying this framework to two real world systems whose properties have not been synthetically treated. In addition, this project will also support multiple outreach activities to K-12 education. The investigators will develop new analytical methods models accounting for environmental stochasticity, eco-evolutionary feedbacks, and demographic stochasticity. Stochastic difference equations (SDEs) will be used to model eco-evolutionary feedbacks in disturbed habitats. For these SDEs, new methods will be developed for verifying persistence of species and exponential rates of convergence to positive stationary distributions (which provides a measure of resilience). For models also accounting for finite population sizes, large deviation methods will be used to prove that stochastic persistence for the mean field SDE implies that the mean time to extinction of any species or genotype increases exponentially with habitat size, and the meta-stable behavior of the system dynamics are characterized by the positive stationary distributions of the mean field SDE. These mathematical methods will be applied to a nested set of common models associated with two prominent empirical systems: Anolis lizards on Bahamian Islands recovering from hurricanes, and stickleback fish in streams on Vancouver Island recovering from catastrophic floods. Using such different model systems provides the unique opportunity to more readily find generalities and plays to the two systems' complementary experimental strengths. Field experiments and observations as well as existing data will be used to parameterize the individual-based eco-evolutionary models. These models will be used to examine the impact of an environmental disturbance on (1) local adaptation of a focal predator (Anolis or stickleback), (2) community resilience, (3) long-term species persistence, and (4) projections about the rate and nature of ecological and evolutionary recovery under present and future climatic conditions. For outreach, the investigators will run and develop material for the modelling in the life sciences cluster of the California State Summer School for Mathematics and Science, will develop short educational videos about field research, ecology, and evolution for K-12 students in Austin, and create additional educational opportunities for local Bahamian school children in collaboration with Friends of the Environment (a Bahamian conservation organization).

在全球范围内，人类正在造成重大的环境扰动，这些扰动今后可能会变得更加频繁和严重。这种干扰可对生态群落的结构（例如物种多样性和丰富度）以及这些群落提供的生态系统服务产生深远影响。鉴于这些变化对人类福祉的潜在意义，我们必须开发有效的工具来预测这些生态和生态系统的影响。传统上，生态群落对严重环境扰动（如飓风、洪水）的复原力研究侧重于生态过程。然而，越来越多的证据表明，生态和进化过程之间的反馈（生态进化反馈）发生在相称的时间尺度。这提出了进化过程可能在社区恢复力和物种持久性中发挥重要作用的可能性。该项目解决了这种可能性所带来的挑战，通过开发一个数学框架来分析模型的干扰，占生态进化的反馈，并将此框架应用到两个真实的世界系统的属性还没有得到综合处理。此外，该项目还将支持K-12教育的多种外联活动。研究人员将开发新的分析方法模型，解释环境随机性，生态进化反馈和人口随机性。随机差分方程（SDES）将被用来模拟生态进化的反馈干扰栖息地。对于这些特殊动态环境，将制定新的方法来验证物种的持久性和向正平稳分布收敛的指数速度（这提供了一种恢复力的衡量标准）。对于也考虑有限种群规模的模型，大偏差方法将被用来证明平均场的随机持久性意味着任何物种或基因型的平均灭绝时间随栖息地的大小呈指数增长，系统动力学的亚稳定行为的特征在于平均场的正平稳分布。这些数学方法将被应用到一套嵌套的共同模型与两个突出的经验系统：阿诺利斯蜥蜴巴哈马群岛从飓风中恢复，和棘鱼流在温哥华岛从灾难性的洪水中恢复。使用这种不同的模型系统提供了独特的机会，更容易找到共性和发挥两个系统的互补实验优势。实地实验和观察以及现有的数据将被用来参数化的个人为基础的生态进化模型。这些模型将用于研究环境干扰对以下方面的影响：（1）焦点捕食者（Anolis或刺鱼）的局部适应，（2）社区恢复力，（3）长期物种持续性，以及（4）在当前和未来气候条件下对生态和进化恢复的速率和性质的预测。为了推广，调查人员将在加州数学和科学暑期学校的生命科学集群中运行和开发建模材料，将为奥斯汀的K-12学生开发关于实地研究，生态学和进化的简短教育视频，并与环境之友（巴哈马保护组织）合作为当地巴哈马学童创造更多的教育机会。