Collaborative Research: Analysis of Continental Shelf Ecosystems: Food Web Structure and Functional Relations

合作研究：大陆架生态系统分析：食物网结构和功能关系

• 批准号: 1259057
• 负责人: James Ruzicka
• 金额: $ 18.27万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-03-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1259057&HistoricalAwards=false
• 关键词: Collaborative; Research; Analysis; Continental; Shelf

Marine ecosystems are characterized by complex interactions among biological components and within the physical setting. The complexity of these systems makes them difficult to understand or interpret based on either observations or models, both of which suffer from incomplete knowledge of the natural system. Of interest to many scientific questions and to management is the utility of broad, simplifying concepts about how such systems operate and how they change over time. Among these concepts are bottom-up control (the idea that nutrient sources and lower trophic levels govern the ecosystem), top-down control (the idea that organisms at the highest trophic levels govern), and regime shifts (major restructuring of the system due to natural or anthropogenic, or combined, forcing).A basic tenet of biological oceanography is the coupling between physical processes and population dynamics. The study of these connections has been based on certain simplifications, particularly the emphasis on one, or very few, trophic components. The parallel development of trophic network models (e.g., ECOPATH) represents an effort to study the relationships between a more complete spectrum of trophic groups from an energy transfer and predator-prey perspective. Yet, ecosystem structure, function, and behavior depend on the physical context: mixing, advection, water residence time, and seasonality, especially for shelf ecosystems. These terms define production, recycling, and export rates and set the scope of benthic-pelagic coupling, but they are rarely incorporated into trophic network models. There is clear need to develop portable methods of analysis that can illuminate physical-biological interactions across a wide range of ecosystems and demonstrate their effects on system productivity and resilience at all trophic levels. However, there is a simultaneous risk of such models becoming so complex that untangling the mechanisms and artifacts of model dynamics quickly becomes intractable.A portable, coupled bio-physical model framework of intermediate trophic and physical resolution is a potential solution that will be developed in this project. The goal is to produce models simple enough to understand, but complex enough to be realistic. Thus, about 5 physical boxes and about 20 ecological compartments are expected to be included. The models will be developed for four contrasting, data-rich continental shelf ecosystems. This project will use the range of food webs and physical forcing characteristic of these four systems to do the following. 1. Assess the merits and disadvantages of studying community dynamics in terms of aggregated functional groups as the appropriate level of trophic resolution. 2. Compare the relative roles of physical processes and trophic network structure in determining system productivity, variability, and resilience across all trophic levels, including both pelagic and benthic food webs. 3. Test the applicability of broad concepts of ecosystem behavior such as bottom-up vs. top-down control of community dynamics, or of sudden regime shifts.The project will contribute to the education of future scientists through participation in active research. The public will be informed about ocean ecosystem issues through development of a museum exhibit. Model code will be provided to the community for further use and development. Collaboration with NOAA scientists will foster application of project results to practical management issues.

海洋生态系统的特点是生物组成部分之间和物理环境内的复杂相互作用。这些系统的复杂性使得它们很难根据观察或模型来理解或解释，这两者都受到自然系统知识不完整的影响。对许多科学问题和管理来说，感兴趣的是关于这些系统如何运作以及它们如何随时间变化的广泛而简化的概念的效用。 这些概念包括自下而上的控制（营养源和较低营养水平控制生态系统的想法），自上而下的控制（最高营养水平的生物体控制的想法）和政权转移（由于自然或人为或联合强迫而导致的系统重大重组）。对这些联系的研究一直基于某些简化，特别是强调一个或很少几个营养成分。营养网络模型的并行开发（例如，ECOPATH）代表了从能量转移和捕食者-猎物的角度研究更完整的营养组之间关系的努力。然而，生态系统的结构，功能和行为取决于物理环境：混合，平流，水停留时间和季节性，特别是对货架生态系统。这些术语界定了生产、再循环和出口率，并确定了底栖-中上层耦合的范围，但它们很少被纳入营养网络模型。显然需要开发便携式分析方法，以阐明广泛的生态系统中的物理-生物相互作用，并展示其对所有营养级系统生产力和复原力的影响。然而，这类模型也存在着复杂性的风险，使得模型动力学机制和伪像的解开变得非常困难。一个可移植的、具有中等营养和物理分辨率的耦合生物物理模型框架是本项目的潜在解决方案。我们的目标是制作出简单到足以理解的模型，但又足够复杂到现实。因此，预计将包括约5个物理箱和约20个生态隔室。将为四个对比鲜明、数据丰富的大陆架生态系统开发模型。本项目将利用食物网的范围和这四个系统的物理强迫特征来做以下工作。1.评估以聚集功能群作为营养解析的适当层次来研究群落动态的优点和缺点。2.比较物理过程和营养网络结构在确定系统生产力、变异性和所有营养层次的恢复力方面的相对作用，包括浮游和底栖食物网。3.测试生态系统行为的广泛概念的适用性，例如自下而上与自上而下的社区动态控制，或突然的政权转移。该项目将通过参与积极的研究来促进未来科学家的教育。将通过博物馆展览向公众介绍海洋生态系统问题。模型代码将提供给社区供进一步使用和开发。 与NOAA科学家的合作将促进将项目成果应用于实际管理问题。