4.7 Article Data Paper

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes

期刊

GIGASCIENCE
卷 6, 期 12, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/gigascience/gix101

关键词

lake eutrophication; nutrients; water quality; lake trophic state; ecological context; LAGOS-NE; open science; lake database

资金

  1. National Science Foundation (NSF) MacroSystems Biology Program in the Emerging Frontiers Division of the Biological Sciences Directorate [EF-1065786, EF-1638679, EF-1065649, EF-1065818, EF-1638554]
  2. United States Department of Agriculture National Institute of Food and Agriculture, Hatch project [176820]
  3. STRIVE Programme from the Environmental Protection Agency, Ireland [2011-W-FS-7]
  4. NSF Division of Biological Infrastructure [1401954]
  5. State of Maine
  6. Michigan Agricultural Experiment Station
  7. Fisheries Division, Michigan Department of Natural Resources
  8. New York State Division of Water Quality
  9. Wisconsin Department of Natural Resources
  10. University of Wisconsin-Madison
  11. State/Trust
  12. Michigan State University Agriculture Experimental Station Disciplinary Research Grant Program
  13. US EPA
  14. US EPA Section Grants [106/319]
  15. Tribal General Fund
  16. US Army Corps of Engineers Federal Lakes Operation and Maintenance Funds
  17. Aquatic Plant Management Society
  18. Aquatic Ecosystem Restoration Foundation
  19. Michigan State University
  20. Michigan State University Department of Fisheries and Wildlife
  21. EPA Star Fellowship [U-915342-01-0]
  22. Andrew W. Mellon Foundation
  23. Federal Aid in Sport Fish Restoration Program (Fish Management in Ohio) [F-69-P]
  24. Iowa Department of Natural Resources [ESD04HALFasch110155]
  25. Minnesota Pollution Control Agency
  26. NSF-Division of Environmental Biology
  27. Ohio Department of Natural Resources Division of Wildlife
  28. University of Rhode Island Watershed Watch
  29. NSF Kellogg Biological Station Long Term Ecological Research (LTER) Program [DEB 1027253]
  30. NSF North Temperate Lakes LTER Program [DEB 1440297]
  31. Lac du Flambeau Band and Bureau of Indian Affairs
  32. Indiana Department of Environmental Management
  33. Missouri Department of Natural Resources
  34. Clean Water Act
  35. Michigan Department of Environmental Quality
  36. Massachusetts Water Supply Protection Trust
  37. US EPA Clean Air Markets Division (LTM Network)
  38. US EPA Office of Research and Development
  39. New York City Department of Environmental Protection (NYSDEP)
  40. City of New York
  41. USGS Water Availability and Use Science Program (WAUSP)
  42. US Geological Survey
  43. New York State Energy Research and Development Authority
  44. National Institute of Food and Agriculture, US Department of Agriculture, Hatch Grant [1003732]
  45. New York State Department of Environmental Conservation
  46. Lake Sunapee Protective Association
  47. National Oceanic and Atmospheric Administration
  48. Gull Lake Quality Organization
  49. Clean Michigan Initiative
  50. NSF grant [DEB-1455461]
  51. Direct For Biological Sciences
  52. Division Of Environmental Biology [1456151, 1440297, 1255159] Funding Source: National Science Foundation
  53. Direct For Biological Sciences
  54. Div Of Biological Infrastructure [1401954] Funding Source: National Science Foundation
  55. Emerging Frontiers
  56. Direct For Biological Sciences [1065818, 1065786] Funding Source: National Science Foundation
  57. Environmental Protection Agency Ireland (EPA) [2011-W-FS-7] Funding Source: Environmental Protection Agency Ireland (EPA)

向作者/读者索取更多资源

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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