Collaborative Research: Toward a Circumarctic Lakes Observation Network (CALON)-- Multiscale observations of lacustrine systems

The scientific goals and methods that address the intellectual merits of the research are: (1) Expand on existing lake monitoring sites in northern Alaska by developing a network of regionally representative lakes along environmental gradients from which we will collect baseline data to assess current physical, chemical, and biological lake characteristics. This will allow the project scientists to make spatial and temporal comparisons to determine the impact of warmer temperatures, changing cloud cover and precipitation patterns, permafrost degradation, and direct human impacts on lakes; (2) Implement a multiscale (hierarchical) lake instrumentation scheme such that basic data is collected from 51 lakes, while a subset of lakes are more intensively instrumented; (3) Provide regional scaling and extrapolation of key metrics through calibration and validation of satellite imagery with ground measurements; and (4) Develop and implement standardized protocols to enable inter-site comparison and to prepare for expansion towards a pan-Arctic network. The education/outreach goals that address the broader impacts of the research outlined above are: (1) Incorporate indigenous observations of lake physical and biological characteristics and changes. Innovative interactive methods of sharing information will be developed and made available through native and local organizations. Scientific and technical training will be provided to Iñupiat students for monitoring lake and drinking water quality; (2) Develop a demonstration monitoring network based on the Delay Tolerant Network (DTN) architecture and link this network to research centers, indigenous communities, and other power- and connectivity-challenged environments; (3) Develop and refine data management, visualization, and archiving activities with ACADIS; and (4) Provide an introduction to Arctic science for several beginning investigators. Funding Source: Arctic Observing Network (AON), Arctic System Science Program (ARCSS) Sponsors: - University of Cincinnati Main Campus, University Hall, Suite 530, Cincinnati, OH 45221 - University of Nebraska-Lincoln, 312 N 14th Street, Lincoln, NE 68588 - University of Alaska Fairbanks Campus, West Ridge Research Bldg 008, Fairbanks, AK 99775 - Alaska Science Center, U.S. Geological Survey, 4210 University Ave., Anchorage, AK 99508本研究用于阐释学术价值的科学目标与方法如下： (1) 扩建阿拉斯加北部现有湖泊监测站点，沿环境梯度构建具有区域代表性的湖泊监测网络，采集基线数据以评估湖泊当前的物理、化学与生物属性。借此项目科研团队可开展时空对比分析，以明确气温升高、云量与降水格局变化、冻土退化以及人类直接活动对湖泊造成的影响。 (2) 实施多尺度（层级式）湖泊监测仪器布设方案：对51个湖泊采集基础监测数据，同时对其中部分湖泊开展高强度仪器监测。 (3) 通过卫星影像与地面实测数据的校准与验证，实现关键监测指标的区域尺度缩放与外推。 (4) 制定并推行标准化监测规程，以支持跨站点对比，并为后续拓展至泛北极网络（pan-Arctic network）做好筹备。 本研究的教育与科普推广目标（对应研究的 broader 影响力）如下： (1) 整合原住民对湖泊物理、生物属性及其变化的观测数据。将开发创新的交互式信息共享方法，并通过本土与当地社会组织向公众开放。同时将为伊努皮亚特（Iñupiat）学生提供湖泊与饮用水水质监测相关的科学与技术培训。 (2) 基于容迟网络（Delay Tolerant Network, DTN）架构构建示范监测网络，并将该网络与研究机构、原住民社区以及其他存在电力与联网限制的环境相连。 (3) 与ACADIS合作，开发并完善数据管理、可视化与归档相关工作。 (4) 为多位初入北极科研领域的研究者提供入门培训。 资助来源：北极观测网络（Arctic Observing Network, AON）、北极系统科学计划（Arctic System Science Program, ARCSS） 合作单位： - 辛辛那提大学主校区：俄亥俄州辛辛那提市大学厅530室，邮编45221 - 内布拉斯加大学林肯分校：内布拉斯加州林肯市北14街312号，邮编68588 - 阿拉斯加大学费尔班克斯分校：阿拉斯加州费尔班克斯市西岭研究大楼008室，邮编99775 - 美国地质调查局阿拉斯加科学中心：阿拉斯加州安克雷奇市大学大道4210号，邮编99508