LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes-Reference-Cited by-同舟云学术

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

Published:2017-10-19 Issue:12 Volume:6 Page:
ISSN:2047-217X
Container-title:GigaScience
language:en
Short-container-title:

Author:

Soranno Patricia A¹^ORCID,Bacon Linda C²,Beauchene Michael³,Bednar Karen E⁴,Bissell Edward G¹,Boudreau Claire K¹,Boyer Marvin G⁵,Bremigan Mary T¹,Carpenter Stephen R⁶,Carr Jamie W⁷,Cheruvelil Kendra S¹^ORCID,Christel Samuel T⁶,Claucherty Matt⁸,Collins Sarah M⁶^ORCID,Conroy Joseph D⁹,Downing John A¹⁰,Dukett Jed¹¹,Fergus C Emi¹²^ORCID,Filstrup Christopher T¹⁰,Funk Clara¹³,Gonzalez Maria J¹⁴,Green Linda T¹⁵,Gries Corinna⁶,Halfman John D¹⁶,Hamilton Stephen K¹⁷,Hanson Paul C⁶,Henry Emily N¹⁸,Herron Elizabeth M¹⁹,Hockings Celeste²⁰,Jackson James R²¹,Jacobson-Hedin Kari²²,Janus Lorraine L²³,Jones William W²⁴,Jones John R²⁵,Keson Caroline M²⁶,King Katelyn B S¹,Kishbaugh Scott A²⁷,Lapierre Jean-Francois²⁸^ORCID,Lathrop Barbara²⁹,Latimore Jo A¹,Lee Yuehlin³⁰,Lottig Noah R³¹,Lynch Jason A¹³,Matthews Leslie J³²,McDowell William H³³,Moore Karen E B³⁴,Neff Brian P³⁵,Nelson Sarah J³⁶,Oliver Samantha K⁶,Pace Michael L³⁷,Pierson Donald C³⁸,Poisson Autumn C¹,Pollard Amina I³⁹,Post David M⁴⁰,Reyes Paul O³⁰,Rosenberry Donald O⁴¹,Roy Karen M⁴²,Rudstam Lars G⁴³,Sarnelle Orlando¹,Schuldt Nancy J⁴⁴,Scott Caren E⁴⁵,Skaff Nicholas K¹^ORCID,Smith Nicole J¹,Spinelli Nick R⁴⁶,Stachelek Jemma¹,Stanley Emily H⁶,Stoddard John L⁴⁷,Stopyak Scott B⁴⁸,Stow Craig A⁴⁹,Tallant Jason M⁵⁰,Tan Pang-Ning⁵¹^ORCID,Thorpe Anthony P²⁵,Vanni Michael J⁵²,Wagner Tyler⁵³,Watkins Gretchen⁴,Weathers Kathleen C⁵⁴,Webster Katherine E⁵⁵,White Jeffrey D⁵⁶,Wilmes Marcy K⁵⁷,Yuan Shuai⁵¹

Affiliation:

1. Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA

2. Department of Environmental Protection, State of Maine, Augusta, ME 04330, USA

3. Department of Energy and Environmental Protection, State of Connecticut, Hartford, CT 06106, USA

4. Water Resources Program, Lac du Flambeau Tribal Natural Resources, Lac du Flambeau, WI, USA

5. Environmental Planning, US Army Corps of Engineers, Kansas City, MO 64106, USA

6. Center for Limnology, University of Wisconsin Madison, Madison, WI 53706 USA

7. Office of Watershed Management, Massachusetts Department of Conservation and Recreation, West Boylston, MA 10583, USA

8. Watershed Protection, Tipp of the Mitt Watershed Council, Petoskey, MI 49770, USA

9. Division of Wildlife, Inland Fisheries Research Unit, Ohio Department of Natural Resources, Hebron, OH 43025, USA

10. Large Lakes Observatory, University of Minnesota, Duluth, MN 55812 USA

11. Adirondack Lake Survey Corporation, Ray Brook, NY 12977 USA

12. National Research Council, US Environmental Protection Agency, Corvallis, OR 97333, USA

13. Office of Air and Radiation, US Environmental Protection Agency, Washington, DC 20460, USA

14. Department of Biology, Miami University, Oxford, OH 45056, USA

15. Natural Resource Science, University of Rhode Island, Kingston, RI 02892 USA

16. Geoscience, Hobart & William Smith Colleges, Geneva, NY 14456 USA

17. Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060, USA

18. Outreach and Engagement, Oregon State University, Corvallis, OR 97331, USA

19. Watershed Watch, University of Rhode Island, Kingston, RI 02881, USA

20. Natural Resource Department, Lac du Flambeau Band of Lake Superior Chippewa Indians, Lac du Flambeau, WI 54538, USA

21. Department of Natural Resources, Cornell University, Bridgeport, NY, USA

22. Office of Water Protection, Fond du Lac Reservation, Cloquet, MN 55720 USA

23. Bureau of Water Supply, New York City Department of Environmental Protection, Valhalla, NY 10560, USA

24. School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47408, USA

25. School of Natural Resources, University of Missouri, Columbia, MO, USA

26. Natural Resource Department, Little Traverse Bay Bands of Odawa Indians, Harbor Springs, MI 49740, USA

27. Division of Water, New York State Department of Environmental Conservation, Albany, NY 12233, USA

28. Department of Biological Science, University of Montreal, Montreal Quebec, Canada, H3C 3J7

29. Pennsylvania Department of Environmental Protection, State of Pennsylvania, Harrisburg, PA 17101 USA

30. Office of Watershed Management, Massachusetts Department of Conservation and Recreation, Belchertown, MA 01007, USA

31. Trout Lake Research Station, University of Wisconsin, Boulder Junction, WI 54512, USA

32. Lakes and Ponds Program, Vermont Department of Environmental Conservation, Montpelier, VT 05620, USA

33. Natural Resources and the Environment, University of New Hampshire, Durham, NH 03824, USA

34. Water Quality Science and Research, New York City Department of Environmental Protection, Kingston, NY 12401, USA

35. National Research Program, USGS, Denver CO 80225, USA

36. School of Forest Resources, University of Maine, Orono, ME, USA

37. Department of Environmental Science, University of Virginia, Charlottesville, VA 22904, USA

38. Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden

39. Office of Water, US EPA, Washington, DC 20460, USA

40. Ecology and Evolutionary Biology, Yale University, Connecticut 06511, USA

41. National Research Program, USGS, Denver, CO 80225, USA

42. Division of Air Resources, New York State Department of Environmental Conservation, Ray Brook, NY 12977, USA

43. Department of Natural Resources, Cornell University, Ithaca, NY 14850, USA

44. Environmental Program, Fond du Lac Band of Lake Superior Chippewa Indians, Cloquet, MN 55720, USA

45. Aquatic Science, NEON, Boulder, CO 80301, USA

46. Watershed Management, Lake Wallenpaupack Watershed Management District, Hawley, PA, USA

47. Western Ecology Division, Office of Research and Development, US EPA, Corvallis, OR 97333, USA

48. Technology Services, Eaton County, Charlotte, MI, USA

49. Great Lakes Environmental Research Lab, NOAA, Ann Arbor, MI 47176, USA

50. Biological Station, University of Michigan, Pellston, MI 49769, USA

51. Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA

52. Department of Zoology, Miami University, Oxford, OH 45056 USA

53. Pennsylvania Cooperative Fish and Wildlife Research Unit, USGS, 402 Forest Resources Building, University Park, PA 16802, USA

54. Cary Institute of Ecosystem Studies, Millbrook, NY, USA

55. School of Natural Sciences, Trinity College, Dublin, Ireland

56. Biology Department, Framingham State University, Framingham, MA 01702, USA

57. Department of Environmental Quality, State of Michigan, Lansing, MI 48909, USA

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 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.

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

Link

http://academic.oup.com/gigascience/article-pdf/6/12/gix101/38813001/gigascience_6_12_gix101.pdf

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