Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
LAGOS-NE: A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. lakes
Show others and affiliations
2017 (English)In: GigaScience, ISSN 2047-217X, E-ISSN 2047-217X, Vol. 6, no 12, p. 1-22Article in journal (Refereed) Published
Abstract [en]

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 51101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 datamodules 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 situmeasurements of lake water quality for a subset of the lakes fromthe past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from87 lake water quality data sets fromfederal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest andmost comprehensive databases of its type because it includes both in situmeasurements 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

Place, publisher, year, edition, pages
2017. Vol. 6, no 12, p. 1-22
Keywords [en]
LAGOS-NE, ecological context, lake database, lake eutrophication, lake trophic state, nutrients, open science, water quality
National Category
Ecology
Identifiers
URN: urn:nbn:se:uu:diva-336723DOI: 10.1093/gigascience/gix101ISI: 000419639300001OAI: oai:DiVA.org:uu-336723DiVA, id: diva2:1166768
Available from: 2017-12-15 Created: 2017-12-15 Last updated: 2018-01-29Bibliographically approved

Open Access in DiVA

fulltext(9521 kB)14 downloads
File information
File name FULLTEXT01.pdfFile size 9521 kBChecksum SHA-512
77966b0fd8067bebc6e985dbcdf42b80325c2f42716256038ebe0896235c25f0feac3467e004dea8b84d9084abd77489a3aa5f94b983179aad0a1554ffa19e3a
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Pierson, Donald
By organisation
Limnology
In the same journal
GigaScience
Ecology

Search outside of DiVA

GoogleGoogle Scholar
Total: 14 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf