| Literature DB >> 34349102 |
Rachel M Pilla1, Elizabeth M Mette2, Craig E Williamson2, Boris V Adamovich3, Rita Adrian4, Orlane Anneville5, Esteban Balseiro6, Syuhei Ban7, Sudeep Chandra8, William Colom-Montero9, Shawn P Devlin10, Margaret A Dix11, Martin T Dokulil12, Natalie A Feldsine13, Heidrun Feuchtmayr14, Natalie K Fogarty15, Evelyn E Gaiser16, Scott F Girdner17, María J González2, K David Hambright18, David P Hamilton19, Karl Havens20, Dag O Hessen21, Harald Hetzenauer22, Scott N Higgins23, Timo H Huttula24, Hannu Huuskonen25, Peter D F Isles26, Klaus D Joehnk27, Wendel Bill Keller28, Jen Klug29, Lesley B Knoll30, Johanna Korhonen31, Nikolai M Korovchinsky32, Oliver Köster33, Benjamin M Kraemer4, Peter R Leavitt34, Barbara Leoni35, Fabio Lepori36, Ekaterina V Lepskaya37, Noah R Lottig38, Martin S Luger39, Stephen C Maberly14, Sally MacIntyre40, Chris McBride41, Peter McIntyre38, Stephanie J Melles42, Beatriz Modenutti6, Dörthe C Müller-Navarra43, Laura Pacholski44, Andrew M Paterson45, Don C Pierson9, Helen V Pislegina46, Pierre-Denis Plisnier47, David C Richardson48, Alon Rimmer49, Michela Rogora50, Denis Y Rogozin51, James A Rusak45, Olga O Rusanovskaya46, Steve Sadro52, Nico Salmaso53, Jasmine E Saros54, Jouko Sarvala55, Émilie Saulnier-Talbot56, Daniel E Schindler57, Svetlana V Shimaraeva46, Eugene A Silow46, Lewis M Sitoki58, Ruben Sommaruga59, Dietmar Straile60, Kristin E Strock61, Hilary Swain62, Jason M Tallant63, Wim Thiery64,65, Maxim A Timofeyev46, Alexander P Tolomeev51, Koji Tominaga21, Michael J Vanni2, Piet Verburg66, Rolf D Vinebrooke67, Josef Wanzenböck12, Kathleen Weathers68, Gesa A Weyhenmeyer9, Egor S Zadereev51, Tatyana V Zhukova3.
Abstract
Climate change and other anthropogenic stressors have led to long-term changes in the thermal structure, including surface temperatures, deepwater temperatures, and vertical thermal gradients, in many lakes around the world. Though many studies highlight warming of surface water temperatures in lakes worldwide, less is known about long-term trends in full vertical thermal structure and deepwater temperatures, which have been changing less consistently in both direction and magnitude. Here, we present a globally-expansive data set of summertime in-situ vertical temperature profiles from 153 lakes, with one time series beginning as early as 1894. We also compiled lake geographic, morphometric, and water quality variables that can influence vertical thermal structure through a variety of potential mechanisms in these lakes. These long-term time series of vertical temperature profiles and corresponding lake characteristics serve as valuable data to help understand changes and drivers of lake thermal structure in a time of rapid global and ecological change.Entities:
Year: 2021 PMID: 34349102 PMCID: PMC8339007 DOI: 10.1038/s41597-021-00983-y
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444
Fig. 1Map showing locations of the 153 lakes with vertical temperature profile data in this data set.
Fig. 2Histograms of temporal coverage for each lake in this data set. (a) Histogram of the earliest year (green) and latest year (orange) with temperature profile data for each lake. (b) Histogram of the total number of years with temperature profile data for each lake.
Column names and descriptions of site metadata file (“SiteInformation.csv”).
| Header | Description |
|---|---|
| SiteID | Identifying number given to each lake or set of lakes whose data were managed by the same group |
| LakeID | Identifying number given to each lake. This ID is unique to each lake, and can be used as a primary key to link the SiteInformation table to the data in the TempProfiles tables |
| LakeName | Name (most common) by which lake is known |
| AlternateLakeName | Alternate names by which lake is known (if relevant) |
| LakeOrReservoir | Defines if body of water is identified as a natural lake or human-made reservoir |
| CountryOfLake | Country in which lake can be found |
| Region | Geographical region in which lake can be found |
| Latitude | Latitude of lake/approximate sampling site |
| Longitude | Longitude of lake/approximate sampling site |
| Elevation_m | Elevation of lake above sea level in meters |
| SurfaceArea_km2 | Surface area of lake in square kilometers |
| Volume_km3 | Volume of lake in cubic kilometers |
| MaxDepth_m | Maximum depth of lake in meters |
| MeanDepth_m | Mean depth of lake in meters |
| Secchi_m | Average Secchi depth of lake in meters (representative of recent years) |
| Chlorophyll_ug_L | Average chlorophyll concentration of lake in micrograms per liter (representative of epilimnion/surface waters in recent years) |
| TotalPhosphorus_ug_L | Average total phosphorus concentration of lake in micrograms per liter (representative of epilimnion/surface waters in recent years) |
| DissolvedOrganicCarbon_mg_L | Average dissolved organic carbon concentration of lake in milligrams per liter (representative of epilimnion/surface waters in recent years) |
| Contributor | Name(s) of data set contributor(s). If more than one main data contributor, names are separated by semicolons |
| ContributorContact | Contact (e-mail) of data set contributor(s). If more than one main data contributor, e-mails are separated by semicolons |
| ContributorInstitution | Institution(s) with which contributor(s) are associated. If more than one main data contributor, institutions are separated by semicolons |
| Measurement(s) | temperature of water • temperature profile |
| Technology Type(s) | digital curation |
| Factor Type(s) | lake location • temporal interval |
| Sample Characteristic - Environment | lake • reservoir |
| Sample Characteristic - Location | global |