US Long-Term Ecological Research Network
LAGOS - Predicted and observed maximum depth values for lakes in a 17-state region of the U.S.

Abstract

This dataset includes predicted and observed values of maximum depth for lakes in the upper Midwest and northeast United States. All observed values came from LAGOS ver 1.040.0 (LAke multi-scaled GeOSpatial and temporal database), an integrated database of lake ecosystems (Soranno et al. 2015). LAGOS contains a complete census of lakes great than or equal to 4 ha with corresponding geospatial information for a 17-state region of the U.S., and a subset of the lakes has observational data on morphometry and chemistry. Approximately 40 different sources of data were compiled for this dataset and were mostly generated by government agencies (state, federal, tribal) and universities. Here, observed maximum depth values (n = 8164) were used to train and validate a predictive mixed effects model for lake depth using terrestrial and lake morphology as predictors (Oliver et al., submitted). Predicted values (n = 50 607) generated by the model had a root mean squared error of 7.1 m. This research was supported by the NSF Macrosystem Biology awards 1065786, 1065818, and 1065649.
Dataset ID
320

Data Citation Suggestion

Oliver, S., P. Soranno, C. Fergus, T. Wagner, K. Webster, C. Scott, L. Winslow, J. Downing, and E. Stanley. 2015. LAGOS - Predicted and observed maximum depth values for lakes in a 17-state region of the U.S. ver 4. Environmental Data Initiative. https://doi.org/10.6073/pasta/f00a245fd9461529b8cd9d992d7e3a2f. Accessed 2021-06-23.

Data Download

Observed maximum depth values (n = 8164) were used to train and validate a predictive mixed effects model for lake depth using terrestrial and lake morphology as predictors.

NTL Themes

LTER Keywords