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
- 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]
- United States Department of Agriculture National Institute of Food and Agriculture, Hatch project [176820]
- STRIVE Programme from the Environmental Protection Agency, Ireland [2011-W-FS-7]
- NSF Division of Biological Infrastructure [1401954]
- State of Maine
- Michigan Agricultural Experiment Station
- Fisheries Division, Michigan Department of Natural Resources
- New York State Division of Water Quality
- Wisconsin Department of Natural Resources
- University of Wisconsin-Madison
- State/Trust
- Michigan State University Agriculture Experimental Station Disciplinary Research Grant Program
- US EPA
- US EPA Section Grants [106/319]
- Tribal General Fund
- US Army Corps of Engineers Federal Lakes Operation and Maintenance Funds
- Aquatic Plant Management Society
- Aquatic Ecosystem Restoration Foundation
- Michigan State University
- Michigan State University Department of Fisheries and Wildlife
- EPA Star Fellowship [U-915342-01-0]
- Andrew W. Mellon Foundation
- Federal Aid in Sport Fish Restoration Program (Fish Management in Ohio) [F-69-P]
- Iowa Department of Natural Resources [ESD04HALFasch110155]
- Minnesota Pollution Control Agency
- NSF-Division of Environmental Biology
- Ohio Department of Natural Resources Division of Wildlife
- University of Rhode Island Watershed Watch
- NSF Kellogg Biological Station Long Term Ecological Research (LTER) Program [DEB 1027253]
- NSF North Temperate Lakes LTER Program [DEB 1440297]
- Lac du Flambeau Band and Bureau of Indian Affairs
- Indiana Department of Environmental Management
- Missouri Department of Natural Resources
- Clean Water Act
- Michigan Department of Environmental Quality
- Massachusetts Water Supply Protection Trust
- US EPA Clean Air Markets Division (LTM Network)
- US EPA Office of Research and Development
- New York City Department of Environmental Protection (NYSDEP)
- City of New York
- USGS Water Availability and Use Science Program (WAUSP)
- US Geological Survey
- New York State Energy Research and Development Authority
- National Institute of Food and Agriculture, US Department of Agriculture, Hatch Grant [1003732]
- New York State Department of Environmental Conservation
- Lake Sunapee Protective Association
- National Oceanic and Atmospheric Administration
- Gull Lake Quality Organization
- Clean Michigan Initiative
- NSF grant [DEB-1455461]
- Direct For Biological Sciences
- Division Of Environmental Biology [1456151, 1440297, 1255159] Funding Source: National Science Foundation
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1401954] Funding Source: National Science Foundation
- Emerging Frontiers
- Direct For Biological Sciences [1065818, 1065786] Funding Source: National Science Foundation
- Environmental Protection Agency Ireland (EPA) [2011-W-FS-7] Funding Source: Environmental Protection Agency Ireland (EPA)
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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