EAGER: Collaborative Research: Synchronization Between Terrestrial and Aquatic Ecosystems

水生生态系统通过水、营养物质和有机碳的流动与周围的流域紧密相连。同样，来自景观的外源碳通量使湖泊成为温室气体的重要来源以及埋藏在沉积物中的有机碳的汇。从内陆水域到陆地生态系统也有重要的通量。尽管认识到陆水耦合的重要性，但这些生态系统之间动态的同步性（持续相关性）尚未得到广泛的研究。利用数据重用技术，利用湖泊多尺度地理空间和时间数据库（LAGOS）和全球湖泊生态观测站网络（GLEON）数据库的数据，pi将应用新的分析工具来回答与湖泊及其周围流域同步相关的问题。为了量化陆地和水生栖息地之间的同步，将使用小波相干性来测量陆地和湖泊生态系统之间的同步强度，以及描述时间滞后的相位关系。时间滞后被认为反映了同步的机制，可能与湖泊大小、水停留时间、营养状况和流域面积有关。假设这些因素会影响水陆同步的程度。随机森林回归将被应用于测试这一想法，利用湖泊和流域属性的范围。小波变换的多元回归将用于确定可由气候驱动因素解释的水陆同步的比例，并评估陆地生态系统和湖泊营养波动之间的同步，以改进对同步的非气候机制的推断。该项目由美国国家科学基金会资助。该项目由NSF高级网络基础设施办公室代表基金会管理。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Aquatic ecosystems are closely connected to their surrounding watersheds through the flux of water, nutrients, and organic carbon. Similarly, the flux of exogenous carbon from the landscape causes lakes to be substantial sources of greenhouse gases as well as sinks for organic carbon buried in the sediment. There are also important fluxes from inland waters to the terrestrial ecosystems. Despite the recognition of the importance of terrestrial-aquatic coupling, synchronization (persistent relatedness) of dynamics between these ecosystems has not been broadly investigated. Employing data reuse techniques to use data from Lake Multiscaled Geospatial and Temporal Database (LAGOS) and Global Lake Ecological Observatory Network (GLEON) databases, the PIs will apply new analysis tools to answer questions related to the synchrony of lakes and their surrounding watersheds. To quantify synchronization between terrestrial and aquatic habitats wavelet coherence will be used to measure the strength of synchronization between terrestrial and lake ecosystems, as well as phase relationships, describing time lags. Time lags are hypothesized to reflect mechanisms of synchrony and may be related to lake size, water residence time, trophic status, and watershed area. These factors are hypothesized to affect the degree of aquatic-terrestrial synchrony. Random forest regression will be applied to test this idea, leveraging the range of lake and watershed properties. Multiple regression for wavelet transforms will be used to determine the fraction of aquatic-terrestrial synchrony that can be explained by climate drivers and assess synchrony between terrestrial ecosystems and lake nutrient fluctuations for improved inference into non-climate mechanisms of synchrony. This project is supported by the National Science Foundation?s Public Access Initiative which is managed by the NSF Office of Advanced Cyberinfrastructure on behalf of the Foundation.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.