Metabolism dataset: one year of high-frequency temperature, dissolved oxygen, wind, photosynthetically active radiation observations and low-frequency nutrient data for 58 lakes in the Global Lake Ecological Observatory Network

Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. Lake primary production is strongly controlled by inputs of nutrients and colored dissolved organic matter. While past studies have developed mathematical models of this nutrient-color paradigm, broad empirical tests of these models are scarce. We compiled data from 58 diverse and globally distributed and mostly temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. These lakes varied widely in size (0.02-2300 km2), pelagic gross primary production (20-8000 mg C m-2 d-1), and other characteristics. The data package includes high-frequency dissolved oxygen, water temperature, wind speed, and solar radiation data as well as daily estimates of GPP and ER derived from those data. In addition, the data package includes median in-lake and stream concentrations of dissolved organic carbon and total phosphorus for a subset of 18 of those lakes.

阐明初级生产力（primary productivity）的调控机制，对于刻画生态系统及其对环境变化的响应至关重要。湖泊初级生产力主要受营养盐输入与有色溶解有机物（colored dissolved organic matter）的调控。尽管以往研究已针对这一营养盐-有色溶解有机物范式构建了数学模型，但针对此类模型的大规模实证检验仍较为匮乏。本研究收集了58个全球分布、类型多样且以温带为主的湖泊的观测数据，用以检验该模型，同时深化对湖泊初级生产力调控机制的理解与预测能力。这些湖泊的规模跨度为0.02~2300 km²，浮游总初级生产力（pelagic gross primary production）为20~8000 mg C m⁻² d⁻¹，其余特征亦存在显著差异。本数据集包含高频溶解氧、水温、风速与太阳辐射观测数据，以及基于上述数据推算得到的总初级生产力（Gross Primary Productivity, GPP）与生态系统呼吸（Ecosystem Respiration, ER）日估算值。此外，针对其中18个湖泊的子集，数据集还提供了湖内与溪流中溶解有机碳及总磷的中位浓度值。