OPUS: Synthesizing Ecology with Ecological Networks

OPUS：用生态网络综合生态学

基本信息

批准号：
1934817
负责人：
Neo Martinez
金额：
$ 14.78万
依托单位：
Indiana University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2021-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934817&HistoricalAwards=false
关键词：
OPUS Synthesizing Ecology Ecological Networks

项目摘要

To better understand how earth?s ecosystems such as oceans, lakes, forests and farms sustain the needs of species, including humans, the science of ecology needs to increase its rigor, precision, and predictive power. Such advances will enable a better understanding of human interactions with nature and improve our ability to forecast how environmental change will affect services provided by natural and agricultural ecosystems in the future. To reach these goals, this project will synthesize three decades of the principle investigator's and his close colleagues' research into a predictive theory of the way ecosystems with many species are organized and how they change over time. The core of this theory is based on organisms' abilities to consume resources, grow, and be consumed by other organisms as well as the network architecture of these consumer-resource interactions among tens, hundreds and thousands of species. Elements of this general theory have been published in over one hundred papers, most of which are sole or co-authored by this project's principle investigator. How the ideas in all these papers fit together, including the theory, its foundations, and future directions have yet to be adequately synthesized and articulated. This project will describe that synthetic framework in the form of a book, a review article, visualizations and video animations that define the concepts, equations and computer simulations underlying the theory. This research will also increase the accessibility of ecological network theory to broader audiences, and advance the careers of researchers who are members of groups underrepresented in the sciences.This project will synthesize theory focused on the structure, dynamics, and evolution of food webs and their bipartite subsets including mutualistic and host-parasite/pathogen networks based on integrating consumer-resource theory with network theory and the metabolic theory of ecology. This involves describing the conceptual and computational theory of allometric trophic networks and its application to ecological, evolutionary and sustainability sciences including predictions of the quantitative consequences of species loss, fishing, and climate change. Further development aims to advance a systems biology of ecology that synthesizes ecology by integrating its subdisciplines, especially organismal, population, community and ecosystem ecology, as well as the interface between ecology and evolutionary, social, sustainability, and network sciences. Benefits to society include increasing our understanding of ecosystem management and eco-evolutionary and coupled natural-human dynamics. Two years of research and writing will be conducted involving collaborative visits to international and domestic centers of network and ecological network research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

为了更好地了解地球的生态系统（例如海洋，湖泊，森林和农场）如何维持包括人类在内的物种的需求，生态科学需要提高其严格，精度和预测能力。这样的进步将使人们能够更好地了解人类与自然的互动，并提高我们预测环境变化将如何影响自然和农业生态系统提供的服务的能力。为了实现这些目标，该项目将综合主要研究者的三十年及其亲密同事研究的研究理论，即对许多物种的生态系统的组织方式以及它们如何随时间变化。该理论的核心是基于生物体消耗资源，增长和消耗资源的能力，以及这些消费者资源相互作用的网络架构，数以万计，数千万种物种。该一般理论的要素已发表在一百多篇论文中，其中大多数是该项目的主要研究者唯一或合着的。所有这些论文中的思想如何融合在一起，包括理论，其基础和未来的方向，尚未得到充分的综合和阐明。该项目将以书籍的形式描述合成框架，评论文章，可视化和视频动画，这些框架定义了该理论的概念，方程式和计算机模拟。 This research will also increase the accessibility of ecological network theory to broader audiences, and advance the careers of researchers who are members of groups underrepresented in the sciences.This project will synthesize theory focused on the structure, dynamics, and evolution of food webs and their bipartite subsets including mutualistic and host-parasite/pathogen networks based on integrating consumer-resource theory with network theory and the metabolic theory of ecology.这涉及描述异形营养网络的概念和计算理论及其在生态，进化和可持续性科学中的应用，包括对物种损失，捕鱼和气候变化的定量后果的预测。进一步的发展旨在推进生态系统的系统生物学，该系统通过整合其子树学科，尤其是生物，人群，社区和生态系统生态学，以及生态学与进化，社会，可持续性和网络科学之间的界面来综合生态学。对社会的好处包括我们对生态系统管理以及生态进化和耦合的天然人类动态的理解。将进行两年的研究和写作，涉及对国际和国内网络和生态网络研究中心的合作访问。该奖项反映了NSF的法定使命，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。