Collaborative Research: Advancing a comprehensive model of year-round ecosystem function in seasonally frozen lakes through networked science

合作研究：通过网络科学推进季节性冰冻湖泊全年生态系统功能的综合模型

• 批准号: 2306888
• 负责人: Hilary Dugan
• 金额: $ 13.01万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-11-01 至 2027-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306888&HistoricalAwards=false
• 关键词: Collaborative; Research; Advancing; comprehensive; model

Winter is the fastest warming season in the northern hemisphere. For millions of the world’s seasonally-frozen lakes, this warming means shorter and thinner ice cover and changing patterns of snow accumulation on the ice. Because ice and snow affect many fundamental physical, chemical, and biological properties of lakes, changes in winter conditions can disrupt lake ecosystems and the services they provide to humanity. Until recently, lake scientists paid relatively little attention to winter, meaning we know very little about how lakes work when covered by ice and snow and how winter conditions affect the rest of the year. This leaves scientists ill-prepared to predict how changing winters will impact lakes or to mitigate negative impacts. This study addresses this “winter knowledge gap” and develops a predictive understanding of how winter conditions affect the ecological populations, communities, and food webs of diverse types of lakes. Along with intensive studies of lakes by the core project team, the investigators are also recruiting researchers from dozens of institutions to expand sampling to many additional lakes. This ‘Team Science’ approach will train many aquatic scientists in specialized winter sampling methods, empowering other scientists to include studies of winter conditions in their research programs. It will develop a network of winter-hardy aquatic researchers with the goal of advancing understanding of year-round ecosystem function in the face of climate change. The project provides education and training opportunities for multiple graduate and undergraduate students and a postbaccalaureate researcher.This study combines two approaches: 1) detailed seasonal studies of ecological processes in 12 lakes by the project’s investigators; and 2) research across at least 60 other lakes by a network of collaborators. In the first part of the effort, the investigators are focusing on 12 lakes with contrasting water quality characteristics and winter severity. The lakes are being instrumented with continuously-recording temperature, light, and oxygen sensors. The investigators are also studying water, bacteria, phytoplankton, and zooplankton throughout the year to determine how plankton populations and communities evolve through seasons in different lake types. Using stable isotopes and fatty acid analysis, the investigators are assessing the way food web structure changes across seasons and the production and cycling of organic matter. For the second part of the study, the investigators are recruiting a network of researchers to collect samples from at least another 60 lakes. These collaborators are being trained in winter research methods and are provided with sampling kits and instructions for sample collection. Their samples are being analyzed with samples from the core set of 12 lakes, ensuring compatibility of results. Collaboration between the co-PIs and their network is allowing for broad participation in interpretation of data and testing of hypotheses about the way winter severity interacts with water quality to affect lake ecology.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.

冬季是北半球最快的变暖季节。对于全球季节性冻结的湖泊中，数百万，这种变暖意味着冰盖较短，更薄，并且在冰上积雪的模式不断变化。由于冰和积雪影响湖泊的许多基本物理，化学和生物学特性，因此冬季状况的变化会破坏湖泊生态系统及其为人类提供的服务。直到最近，湖泊科学家对冬季的关注却相对较少，这意味着我们对湖泊覆盖时湖泊的工作方式以及冬季状况如何影响一年中的其余部分知之甚少。这使科学家不准备预测变化的冬季将如何影响湖泊或减轻负面影响。这项研究解决了这一“冬季知识差距”，并对冬季状况如何影响潜水员类型湖泊的生态人群，社区和食物网的预测理解。随着核心项目团队湖泊的深入研究，研究人员还招募了来自数十家机构的研究人员，以将抽样扩展到许多其他湖泊。这种“团队科学”方法将以专门的冬季抽样方法培训许多水上科学家，使其他科学家能够将冬季条件的研究包括在其研究计划中。它将开发一个冬季冬季水上研究人员的网络，目的是在面对气候变化的情况下促进对全年生态系统功能的理解。该项目为多个研究生和本科生以及后期研究人员提供教育和培训机会。这项研究结合了两种方法：1）该项目的研究人员对12个湖泊的生态过程进行了详细的季节性研究； 2）合作者网络至少在其他60个湖泊进行研究。在努力的第一部分中，研究人员将重点放在12个湖泊上，这些湖泊具有对比鲜明的水质特征和冬季严重性。湖泊正在用连续录制温度，光和氧气传感器进行仪器。研究人员还在全年研究水，细菌，浮游植物和浮游动物，以确定浮游生物种群和社区如何通过不同湖泊类型的季节发展。使用稳定的同位素和脂肪酸分析，研究人员正在评估食物网络结构在整个季节的变化以及有机物的生产和循环的方式。在研究的第二部分中，研究人员正在招募一个研究人员网络，以收集至少60个湖泊的样品。这些合作者正在接受冬季研究方法的培训，并提供了采样套件和样品收集的说明。他们的样品正在用来自12个湖泊核心集的样品进行分析，以确保结果的兼容性。 Co-PIS及其网络之间的合作允许广泛参与数据的解释以及关于冬季严重程度与水质相互作用以影响湖泊生态学方式的假设的测试。该奖项反映了NSF的法定任务，并被认为是通过使用基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得的支持。