U.S. Geological Survey, University Park, PA 16802, USA.
U.S. Geological Survey, Middleton, WI 53562, USA.
Sci Data. 2018 Dec 11;5:180292. doi: 10.1038/sdata.2018.292.
A national-scale quantification of metabolic energy flow in streams and rivers can improve understanding of the temporal dynamics of in-stream activity, links between energy cycling and ecosystem services, and the effects of human activities on aquatic metabolism. The two dominant terms in aquatic metabolism, gross primary production (GPP) and aerobic respiration (ER), have recently become practical to estimate for many sites due to improved modeling approaches and the availability of requisite model inputs in public datasets. We assembled inputs from the U.S. Geological Survey and National Aeronautics and Space Administration for October 2007 to January 2017. We then ran models to estimate daily GPP, ER, and the gas exchange rate coefficient for 356 streams and rivers across the continental United States. We also gathered potential explanatory variables and spatial information for cross-referencing this dataset with other datasets of watershed characteristics. This dataset offers a first national assessment of many-day time series of metabolic rates for up to 9 years per site, with a total of 490,907 site-days of estimates.
对溪流和河流中代谢能量流进行国家尺度的量化可以增进对溪流活动的时间动态、能量循环与生态系统服务之间的联系,以及人类活动对水生代谢影响的理解。由于改进的建模方法和公共数据集提供了必要的模型输入,最近,水生代谢的两个主要术语——总初级生产力(GPP)和需氧呼吸(ER)——对于许多地点来说已经变得可以实际估算了。我们收集了美国地质调查局和美国国家航空航天局在 2007 年 10 月至 2017 年 1 月期间的数据。然后,我们运行模型来估算美国大陆 356 条溪流和河流的日 GPP、ER 和气体交换系数。我们还收集了潜在的解释变量和空间信息,以便将该数据集与其他流域特征数据集进行交叉引用。该数据集首次对全国范围内的多个站点进行了长达 9 年的代谢率多天时间序列评估,每个站点总计进行了 490,907 天的估算。