LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes. Issue 12 (19th October 2017)
- Record Type:
- Journal Article
- Title:
- LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes. Issue 12 (19th October 2017)
- Main Title:
- LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes
- Authors:
- Soranno, Patricia A
Bacon, Linda C
Beauchene, Michael
Bednar, Karen E
Bissell, Edward G
Boudreau, Claire K
Boyer, Marvin G
Bremigan, Mary T
Carpenter, Stephen R
Carr, Jamie W
Cheruvelil, Kendra S
Christel, Samuel T
Claucherty, Matt
Collins, Sarah M
Conroy, Joseph D
Downing, John A
Dukett, Jed
Fergus, C Emi
Filstrup, Christopher T
Funk, Clara
Gonzalez, Maria J
Green, Linda T
Gries, Corinna
Halfman, John D
Hamilton, Stephen K
Hanson, Paul C
Henry, Emily N
Herron, Elizabeth M
Hockings, Celeste
Jackson, James R
Jacobson-Hedin, Kari
Janus, Lorraine L
Jones, William W
Jones, John R
Keson, Caroline M
King, Katelyn B S
Kishbaugh, Scott A
Lapierre, Jean-Francois
Lathrop, Barbara
Latimore, Jo A
Lee, Yuehlin
Lottig, Noah R
Lynch, Jason A
Matthews, Leslie J
McDowell, William H
Moore, Karen E B
Neff, Brian P
Nelson, Sarah J
Oliver, Samantha K
Pace, Michael L
Pierson, Donald C
Poisson, Autumn C
Pollard, Amina I
Post, David M
Reyes, Paul O
Rosenberry, Donald O
Roy, Karen M
Rudstam, Lars G
Sarnelle, Orlando
Schuldt, Nancy J
Scott, Caren E
Skaff, Nicholas K
Smith, Nicole J
Spinelli, Nick R
Stachelek, Jemma
Stanley, Emily H
Stoddard, John L
Stopyak, Scott B
Stow, Craig A
Tallant, Jason M
Tan, Pang-Ning
Thorpe, Anthony P
Vanni, Michael J
Wagner, Tyler
Watkins, Gretchen
Weathers, Kathleen C
Webster, Katherine E
White, Jeffrey D
Wilmes, Marcy K
Yuan, Shuai
… (more) - Abstract:
- Abstract: 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 citizenAbstract: 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. … (more)
- Is Part Of:
- GigaScience. Volume 6:Issue 12(2017)
- Journal:
- GigaScience
- Issue:
- Volume 6:Issue 12(2017)
- Issue Display:
- Volume 6, Issue 12 (2017)
- Year:
- 2017
- Volume:
- 6
- Issue:
- 12
- Issue Sort Value:
- 2017-0006-0012-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-10-19
- Subjects:
- lake eutrophication -- nutrients -- water quality -- lake trophic state -- ecological context -- LAGOS-NE -- open science -- lake database
Information storage and retrieval systems -- Research -- Periodicals
Biology -- Research -- Periodicals
Medical sciences -- Research -- Periodicals
Database management -- Periodicals
570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/gigascience/gix101 ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23362.xml