USGS ScienceSearch

USGS · 70159969

A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009

Abstract

Global environmental change has influenced lake surface temperatures, a key driver of ecosystem structure and function. Recent studies have suggested significant warming of water temperatures in individual lakes across many different regions around the world. However, the spatial and temporal coherence associated with the magnitude of these trends remains unclear. Thus, a global data set of water temperature is required to understand and synthesize global, long-term trends in surface water temperatures of inland bodies of water. We assembled a database of summer lake surface temperatures for 291 lakes collected in situ and/or by satellites for the period 1985–2009. In addition, corresponding climatic drivers (air temperatures, solar radiation, and cloud cover) and geomorphometric characteristics (latitude, longitude, elevation, lake surface area, maximum depth, mean depth, and volume) that influence lake surface temperatures were compiled for each lake. This unique dataset offers an invaluable baseline perspective on global-scale lake thermal conditions as environmental change continues.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sapna Sharma, Derek Gray, Jordan S. Read, Catherine M. O’Reilly, Philipp Schneider, Anam Qudrat, Corinna Gries, Samantha Stefanoff, Stephanie Hampton, Simon Hook, John Lenters, David M. Livingstone, Peter B. McIntyre, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Jay Austin, John E. Bailey, Jill Baron, Justin D Brookes, Yuwei Chen, Robert Daly, Kye Ewing, Elvira de Eyto, Martin Dokulil, David B. Hamilton, Karl Havens, Shane Haydon, Harald Hetzenaeur, Jocelyn Heneberry, Amy Hetherington, Scott Higgins, Eric Hixson, Lyubov Izmest'eva, Benjamin M. Jones, Kulli Kangur, Peter Kasprzak, Benjamin Kraemer, Michio Kumagai, Esko Kuusisto, George Leshkevich, Linda May, Sally MacIntyre, Dörthe Müller-Navarra, Mikhail Naumenko, Peeter Noges, Tiina Noges, Pius Niederhauser, Ryan P. North, Andrew Paterson, Pierre-Denis Plisnier, Anna Rigosi, Alon Rimmer, Michela Rogora, Lars G. Rudstam, James A. Rusak, Nico Salmaso, Nihar R. Samal, Daniel E. Schindler, Geoffrey Schladow, Silke R. Schmidt, Tracey Schultz, Eugene A. Silow, Dietmar Straile, Katrin Teubner, Piet Verburg, Ari Voutilainen, Andrew Watkinson, Gesa A. Weyhenmeyer, Craig E. Williamson, Kara H. Woo. 2015-03-17. A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009. https://doi.org/10.1038/sdata.2015.8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

A geographic dataset of rocky reefs habitat areas of particular concern for the United States West Coast

The United States National Marine Fisheries Service determines “essential fish habitat (EFH)” for federally managed species in coordination with regional fishery management councils, considers adverse effects to those habitats, and provides information to further habitat conservation and enhancement. Identifying discrete subsets of EFH as “habitat areas of particular concern (HAPC)” can help focus conservation, management, and research efforts. In 2006, the Pacific Fishery Management Council designated rocky reefs along the United States (U.S.) West Coast as HAPCs for groundfishes because of their ecological significance, sensitivity to human impacts, and relative rarity. To better understand where rocky reefs occur, we (1) located rocky reef areas that were not included in the 2006 rocky reef dataset, and (2) incorporated best available data into a refined geographic dataset that enables visualization. Our update shows that rocky reefs are distributed throughout the U.S. West Coast continental margin, are patchier than previously known, and comprise 8% of the extent of all data inputs. This updated dataset will inform resource management decisions in coastal and marine environments.

California, Oregon, Washington

Individual encounter data of six African carnivore species optimized for multi-species density estimation

The ability to estimate abundances of multiple wildlife species within an area is valuable for both conservation and ecological inquiry. Spatially explicit capture–recapture (SCR) methods are commonly used to obtain reliable population size estimates, particularly for low-density and individually identifiable carnivore species. However, estimating abundance within multi-species communities poses a methodological challenge as survey designs and analytical tools are primarily tailored for single target species. Here, we present a dataset of spatially referenced individual encounter histories of six carnivore species with varying space requirements (lion, Panthera leo ; leopard, Panthera pardus ; spotted hyena, Crocuta crocuta ; cheetah, Acinonyx jubatus ; serval, Leptailurus serval ; large-spotted genet, Genetta tigrina ). These data were collected in a South African game reserve using a camera trap array optimized for multi-species density estimation using SCR methods. This dataset will be a valuable resource for studying spatial processes among potentially interacting carnivores without the common pitfalls that come with by-catch data of non-target species, and will provide a much-needed case study for the further development of multi-species statistical method development.

Munywana Conservancy

Two hundred years of historical spawning and nursery data for coregonine fishes in the Laurentian Great Lakes

Historical data can provide critical ecological information for species across the globe, many of which are facing unprecedented rates of ecosystem change. Yet, historical information related to freshwater species, especially fishes, remains scattered, often in original formats, and underutilized for informing conservation and restoration activities. Here, we present a Data Descriptor called Coregonine Spawning History (CORHIST), a database designed to house diverse data related to past spawning and nursery areas for fishes in the family Salmonidae, subfamily Coregoninae (ciscoes and whitefishes), in the Laurentian Great Lakes and their tributaries. Data for 11 species of coregonines historically occurring in the Great Lakes are included in CORHIST. Over 3,400 occurrence records at the coordinate scale have been entered, over 2,200 of which are for Cisco ( Coregonus artedi ) and Lake Whitefish ( C. clupeaformis )—two focal species for which there is either multinational conservation interest or restoration efforts underway in the Laurentian Great Lakes. CORHIST is already proving useful for several studies developing habitat suitability models and delineating spatial units for conservation or restoration planning.

Laurentian Great Lakes