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LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes
Author(s) -
Patricia A. Soranno,
Linda C. Bacon,
Michael Beauchene,
Karen E Bednar,
Edward G Bissell,
Claire Boudreau,
Marvin G. Boyer,
Mary T. Bremigan,
Stephen R. Carpenter,
J. Carr,
Kendra Spence Cheruvelil,
Samuel T. Christel,
Matt Claucherty,
Sarah M. Collins,
Joseph D. Conroy,
John Downing,
Jed Dukett,
C. Emi Fergus,
Christopher T. Filstrup,
Clara Funk,
María J. Gonzàlez,
Linda T. Green,
Corinna Gries,
John D. Halfman,
Stephen K. Hamilton,
Paul C. Hanson,
Emily Norton Henry,
Elizabeth Herron,
Celeste Hockings,
James R. Jackson,
Kari Jacobson-Hedin,
Lorraine L. Janus,
William W. Jones,
John R. Jones,
Caroline M Keson,
Katelyn King,
Scott A. Kishbaugh,
JeanFrançois Lapierre,
Barbara Lathrop,
Jo A. Latimore,
Yuehlin Lee,
Noah R. Lottig,
Jason Lynch,
Leslie J. Matthews,
William H. McDowell,
Karen Moore,
Brian P. Neff,
Sarah J. Nelson,
Samantha K. Oliver,
Michael L. Pace,
Donald C. Pierson,
Autumn Poisson,
Amina I. Pollard,
David M. Post,
Paul O Reyes,
Donald O. Rosenberry,
Karen M. Roy,
Lars G. Rudstam,
Orlando Sarnelle,
Nancy J Schuldt,
Caren E. Scott,
Nicholas K. Skaff,
Nicole J. Smith,
Nick R Spinelli,
Jemma Stachelek,
Emily H. Stanley,
John L. Stoddard,
Scott B Stopyak,
Craig A. Stow,
Jason Tallant,
PangNing Tan,
Anthony P. Thorpe,
Michael J. Vanni,
Tyler Wagner,
Gretchen Watkins,
Kathleen C. Weathers,
Katherine E. Webster,
Jeffrey D. White,
Marcy K Wilmes,
Shuai Yuan
Publication year - 2017
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/gix101
Subject(s) - water quality , geospatial analysis , context (archaeology) , database , environmental science , lake ecosystem , ecology , hydrology (agriculture) , ecosystem , geography , remote sensing , computer science , geology , biology , geotechnical engineering , archaeology
Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states.LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600-12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.

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