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

海洋生态系统的特点是生物成分之间和物理环境中的复杂相互作用。这些系统的复杂性使得它们很难理解或解释，无论是基于观察还是基于模型，这两者都受到对自然系统的不完整知识的影响。许多科学问题和管理层感兴趣的是，关于这种系统如何运作以及它们如何随着时间的推移而变化的广泛、简化的概念的效用。这些概念包括自下而上的控制(营养源和较低的营养水平控制生态系统的想法)，自上而下的控制(最高营养级别的生物控制的想法)，以及制度转变(由于自然或人为的或组合的强迫对系统的重大重组)。生物海洋学的一个基本原则是物理过程和种群动态之间的耦合。对这些联系的研究一直建立在某些简化的基础上，特别是强调一种或几种营养成分。营养网络模型(例如ECOPATH)的并行发展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类群之间的关系的努力。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，尤其是对陆架生态系统而言。这些术语定义了产量、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。显然需要开发便携的分析方法，以阐明各种生态系统的物理-生物相互作用，并证明它们对所有营养水平的系统生产力和复原力的影响。然而，这类模型同时也存在变得如此复杂的风险，以至于解开模型动力学的机制和伪像很快变得难以处理。一个可移植的、耦合的中等营养和物理分辨率的生物物理模型框架是本项目将开发的潜在解决方案。我们的目标是制作出既简单易懂，又复杂到符合实际的模型。因此，预计将包括约5个物理盒子和约20个生态隔间。这些模型将针对四个对比鲜明、数据丰富的大陆架生态系统而开发。这个项目将利用这四个系统的食物网范围和物理强迫特性来完成以下工作。1.根据聚集性官能团作为营养分解的合适水平，评估研究群落动态的优缺点。2.比较物理过程和营养网络结构在确定所有营养水平的系统生产力、可变性和复原力方面的相对作用，包括中上层和底栖食物网。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群落动态控制，或突然的制度转变。该项目将通过参与积极的研究，为未来科学家的教育做出贡献。公众将通过开发博物馆展览来了解海洋生态系统问题。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项目成果在实际管理问题上的应用。

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.