A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model.

ABSTRACT: Hydrological variables are among the most influential when analyzing or modeling stream ecosystems. However, available hydrological data are often limited in their spatiotemporal scale and resolution for use in ecological applications such as predictive modeling of species distributions. To overcome this limitation, a regression model was applied to a 1 km gridded stream network of Germany to obtain estimated daily stream flow data (m³ s^-1) spanning 64 years (1950-2013). The data are used as input to calculate hydrological indices characterizing stream flow regimes. Both temporal and spatial validations were performed. In addition, GLMs using both the calculated and observed hydrological indices were compared, suggesting that the predicted flow data are adequate for u

SUBMITTER: Irving K 

PROVIDER: S-EPMC6219418 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature