MSB-FRA Modeling Invasion Dynamics Across Scales (MIDAS)

MSB-FRA 跨尺度入侵动力学建模 (MIDAS)

• 批准号: 1638702
• 负责人: Songlin Fei
• 金额: $ 99.62万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638702&HistoricalAwards=false
• 关键词: MSB; FRA; Modeling; Invasion; Dynamics

Invasions by exotic species pose a major threat to nearly all ecosystems. In fact, about 40 percent of U.S. forests have been invaded by exotic plants, resulting in significant economic loss (over $100 billion annually) and ecological damages. Unfortunately, current understanding of large scale invasion patterns and distribution processes is still limited. This project, Modeling Invasion Dynamics Across Scales (MIDAS), seeks to understand how the underlying biological, geophysical and socioeconomic factors lead to the emergence of large scale invasion patterns. Findings of the project will help to inform forest managers, policy makers, and other stakeholders on how to better prevent and mitigate the economic and ecological damages of invasive species through multiple venues such as workshops and webinars, and online planning tools. The project will have high impact on the education of a diverse group of students and researchers through research opportunities, mentoring, and workshops. It will facilitate broad, long-lasting interdisciplinary and cross-institutional collaborations. In addition, the project will contribute to greater understanding of the general phenomenon of how "things" (e.g., disease, technology) spread, thus helping to sustain the spread of benefits while limiting unintended harms to ecosystems and society that emerge from social connectivity.The goal of this project is to determine the underlying mechanisms contributing to macroscale invasion patterns for two important taxa of invaders (plants and insect pests) in forests across the continental United States. The project will utilize a novel cross-modeling approach by combining: (1) machine learning-based statistical models aimed at capturing key within- and cross-scale interactions and tipping points among data challenged by different spatial and temporal resolutions, and (2) Bayesian models designed to capture model and parameter uncertainties. This project will result in improved mechanistic understanding and more robust predictions of macroscale invasion. The proposed conceptual framework can advance the field of invasion ecology by formulating new invasion theories and consolidating various existing ones. The project will also help advance the field of MacroSystems Biology by synthesizing and developing multidisciplinary datasets and by developing and refining a highly useful analytical tool for investigations involving many variables in which manipulative experiments would be challenging.

外来物种的入侵对几乎所有生态系统构成了重大威胁。 实际上，约有40％的美国森林被异国情调的植物入侵，导致经济损失巨大（每年超过1000亿美元）和生态损失。 不幸的是，当前对大规模入侵模式和分配过程的理解仍然有限。 该项目对跨量表（MIDAS）的入侵动态进行建模，试图了解潜在的生物学，地球物理和社会经济因素如何导致大规模入侵模式的出现。 该项目的发现将有助于告知森林经理，政策制定者和其他利益相关者如何通过研讨会和网络研讨会以及在线计划工具等多个场所来更好地预防和减轻入侵物种的经济和生态损害。 该项目将通过研究机会，指导和研讨会对多样化的学生和研究人员的教育产生很大的影响。 它将促进广泛的，持久的跨学科和跨机构合作。 此外，该项目将有助于对“事物”（例如疾病，技术）传播的一般现象有助于更加了解，从而有助于维持收益的传播，同时限制对生态系统和社会的无意危害，这些危害是从社会连接性中出现的。 美国。 该项目将通过组合使用一种新型的跨模型方法：（1）基于机器学习的统计模型，旨在捕获跨尺度和跨尺度之间的密钥以及在受不同空间和时间分辨率挑战的数据中的倾斜点，以及（2）旨在捕获模型和参数不确定性的贝叶斯模型。 该项目将导致对宏观入侵的机理理解和更强大的预测。 提出的概念框架可以通过制定新的入侵理论并巩固各种现有的框架来推进入侵生态的领域。 该项目还将通过综合和开发多学科数据集并开发和完善一种非常有用的分析工具来帮助涉及许多变量，其中操纵实验将具有挑战性。

项目成果

Structural diversity as a reliable and novel predictor for ecosystem productivity

• DOI: 10.1002/fee.2586
• 发表时间: 2023-02
• 期刊: Frontiers in Ecology and the Environment
• 影响因子: 10.3
• 作者: E. LaRue;Jonathan A. Knott;G. Domke;H. Y. Chen;Q. Guo;M. Hisano;C. Oswalt;S. Oswalt;Nicole Kong;K. Potter;S. Fei

Are Terrestrial Biological Invasions Different in the Tropics?

• DOI: 10.1146/annurev-ecolsys-012021-095454
• 发表时间: 2021-01-01
• 期刊: ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS, VOL 52, 2021
• 作者: Chong, Kwek Yan;Corlett, Richard T.;Wardle, David A.
• 通讯作者: Wardle, David A.

Population dynamics of ash across the eastern USA following invasion by emerald ash borer

翡翠螟入侵后美国东部的白蜡种群动态

• DOI: 10.1016/j.foreco.2020.118574
• 发表时间: 2021
• 期刊: Forest Ecology and Management
• 影响因子: 3.7
• 作者: Ward, Samuel F.;Liebhold, Andrew M.;Morin, Randall S.;Fei, Songlin
• 通讯作者: Fei, Songlin

Spatial Variation in Canopy Structure across Forest Landscapes

• DOI: 10.3390/f9080474
• 发表时间: 2018-08-01
• 期刊: FORESTS
• 影响因子: 2.9
• 作者: Hardiman, Brady S.;LaRue, Elizabeth A.;Gough, Christopher M.
• 通讯作者: Gough, Christopher M.

Positive association between emerald ash borer residence time and accumulation of invasive plants

翡翠螟停留时间与入侵植物积累之间呈正相关

• DOI: 10.1002/ecs2.4719
• 发表时间: 2023
• 期刊: Ecosphere
• 影响因子: 2.7
• 作者: Gougherty, Andrew V.;Elliott, Jessica M.;LaRue, Elizabeth A.;Gallion, Joey;Fei, Songlin
• 通讯作者: Fei, Songlin