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59 results for “McMurdo Dry Valleys LTER”
McMurdo Dry Valleys LTER: High frequency, 1-min pressure measurements of continuous stage (lake level) and ice surface ablation from Lake Hoare, Antarctica from 2012-2016
As part of the McMurdo Dry Valleys Long Term Ecological Research program, continuous stage (lake level) and ice surface ablation were collected at Lake Hoare, located in Taylor Valley, Antarctica. This package contains data measured at 1-minute intervals from Nov 2012 to Apr 2013, Nov 2013 to Feb 2014, and Nov 2014 to Oct 2016.
McMurdo Dry Valleys LTER: Landscape Albedo in Taylor Valley, Antarctica from 2015 to 2019
This data package contains reflectance data and associated aerial images collected using a helicopter-suspended "albedo box," in which a shortwave radiometer and camera where mounted facing downward. The purpose of this study was to measure how surface reflectance varies within and across landscape types (glaciers, lakes, and soils) over the course of a single field season as well as across multiple field seasons. We made five flights in the 2015-2016 field season (20 November 2015, 7 December 2015, 24 December 2015, 5 January 2016, and 12 January 2016), five flights in the 2016-2017 field season (11 November 2016, 3 December 2016, 14 December 2016, 3 January 2017, 23 January 2017), four flights in the 2017-2018 field season (22 November 2017, 7 December 2017, 27 December 2017, 13 January 2018), and two flights in the 2018-2019 field season (23 November 2018, 9 January 2019). Flights originated from Lake Hoare field camp, flew down-valley over Canada Glacier, Lake Fryxell, and Commonwealth Glacier, then turned around and flew up-valley to Taylor Glacier Meteorological Station, after which they returned to Lake Hoare field camp. Flights took roughly one hour and were flown at approximately 25.72 m s-1 (50 knots) and 91.44 m (300 ft) above the ground surface. These data can be normalized to incoming solar radiation (measured in-situ at meteorological stations) to calculate landscape albedo. When collected several times throughout a season, these results can show how snow distribution and physical changes to glacier and lake ice impact the amount of incoming radiation that is absorbed, while also tracking the influence of deposited sediment on ice surfaces. Moreover, these data are important for quantifying the long-term changes in energy connectivity between the atmosphere and the landscape (i.e., addressing Hypothesis 1 of the MCM V funding cycle).
McMurdo Dry Valleys LTER: Nutrient tracer injection experiments in supraglacial streams on Canada Glacier, Antarctica, January 2019
This dataset contains a series of grab samples collected from nutrient tracer injection experiments conducted in supraglacial streams on Canada Glacier in Taylor Valley, Antarctica. The purpose of these experiments was to measure potential nutrient uptake in supraglacial stream networks. We chose three reaches and co-injected nutrient tracer(s) and a conservative tracer (NaCl). Tracers were injected at the top of each reach, allowed to mix with the stream water, and move downstream. Grab samples in this dataset were collected at the base of the reach over the course of these tracer experiments, which ran from 14-19 January 2019.
McMurdo Dry Valleys LTER: Dissolved oxygen measurements in supraglacial streams on Canada Glacier, Antarctica, January 2019
We installed dissolved oxygen sensors in three locations on a supraglacial stream network on Canada Glacier in Taylor Valley, Antarctica in conjunction with a series of nutrient tracer injection experiments. This data collection was intended to provide context for respiration and primary productivity via dissolved oxygen dynamics during our nutrient tracer injections. Sensors were deployed a day before the start of the tracer series and collected on the last day of experiments. Over the course of their deployment, two of the three locations had issues with freezing around the sensor and produced large artifacts (swings) in the data.Â
McMurdo Dry Valleys LTER: Nutrient addition incubation experiments using sediments from supraglacial streams in Taylor Valley, Antarctica, December 2017
We used sediment incubations to quantify and compare nutrient uptake rates from biota living in sediment across glaciers in Taylor Valley, Antarctica. Hughes Glacier is located towards the polar plateau on the western edge of the valley and flows from the southern Kukri Hills north into the valley. Canada and Commonwealth glaciers flow south into the valley from the Asgard range. Commonwealth glacier is located closest to the ocean on the east end of the valley. Canada glacier is located mid-valley, between Hughes and Commonwealth glaciers. Sediment was brought to the lab and incubated with added nutrient solutions. Solutions were then analyzed to determine change in nutrient concentration.Â
McMurdo Dry Valleys LTER: Microbial mat biomass and Normalized Difference Vegetation Index (NDVI) values from Lake Fryxell Basin, Antarctica, January 2018
This package contains data collected from microbial mat surveys (i.e., percent cover, ash-free dry mass (AFDM), and pigment concentrations – chlorophyll-a, scytonemin, and carotenoids) associated with satellite-derived Normalized Difference Vegetation Index (NDVI) values from the Lake Fryxell Basin of Taylor Valley, located in the McMurdo Dry Valleys of Antarctica. The purpose of this study was to quantitatively compare key microbial mat characteristics to NDVI. Data were collected at seven plot locations within the Canada Glacier Antarctic Specially Protected Area (ASPA) near Canada Stream, as well as alongside Green Creek and McKnight Creek. NDVI values were derived from a WorldView-2 multispectral satellite image taken of the Lake Fryxell Basin on January 19, 2018, while biological ground surveying and sampling were conducted during the 2nd and 4th weeks of January 2018.
McMurdo Dry Valleys LTER: Transplant Lake Integrated Connectivity Experiment (tLICE) in Taylor Valley, Antarctica, January 2018
The purpose of this experiment, performed as part of the McMurdo Dry Valleys Long Term Ecological Research (MCM LTER) program, was to investigate the impact of lake level rise and moat expansion on microbial community diversity and function in the East Lobe of Lake Bonney, located in Taylor Valley, Antarctica. The “tLICE†experiment tested the following MCM5 Hypotheses: H3-Disturbance increases connectivity and accelerates shifts towards homogeneity, and H4-Decreased heterogeneity reduces community resistance and resilience. Lake water from the East Lobe of Lake Bonney was collected at depths representing maximum phytoplankton productivity (5 m, 17 m, 23 m), and transferred to dialysis bags. The bags were then attached to PVC frames and transplanted to new locations within the lake in two experiments: 1) a moat transplant, in which 5 m communities were transplanted to the open water moat; and 2) shallow to deep transplant, in which communities from all three sampling depths were moved 3 m down the water column to mimic approximately one decade of lake level rise. Transplanted samples were incubated under these conditions for two weeks, and then frames were recovered and samples were processed for a number of measurements. This data package includes the following measurements: nutrient concentration, chlorophyll-a content, chlorophyll fluorescence, cell density, amplicon gene sequences (16S and 18S rRNA genes), and physical parameters.
McMurdo Dry Valleys LTER: Stoichiometry Experiment in Taylor Valley, Antarctica from 2007 to 2016
Soil communities in the McMurdo Dry Valleys are subject to many limitations, including resource limitations. However, the nutrients that are predominantly limiting to growth and diversity of soil biota are not known. Additionally, landscape history (N deposition, P weathering) and native N and P content (glacial till provenance) may influence the ability of soil communities to respond to nutrient additions or changes in nutrient availability associated with environmental change. Long-term experiments in the Bonney and Fryxell basins have been established with yearly application of aqueous nutrient additions: C, N, P, CN, and CP. Multiple nutrients additions were made at the Redfield Ratio of 106:16:1 (C:N:P). Responses of soil chemistry, CO2 flux, and biota are reported.
McMurdo Dry Valleys LTER: Phytoplankton water column profiles in Lake Bonney, Antarctica from 2004 to 2015
Lake Bonney (McMurdo Dry Valleys, east Antarctica) represents a year-round refugia for life adapted to extreme conditions. Lake level has risen by more than 3 m since 2004, but impacts of rapid lake level rise on phytoplankton community structure is also poorly understood. From 2004 to 2015, in concert with the summer limnological samplings, an in situ submersible spectrofluorometer (bbe FluoroProbe) was used to profile phytoplankton throughout the water columns of east and west lobes Lake Bonney to quantify the vertical structure of four functional algal groups (green algae, brown/mixed algae, cryptophytes, cyanobacteria). Our findings showed that phytoplankton communities were differentially impacted by physical and chemical factors over long-term vs. seasonal time scales. Following a summer of rapid lake level rise (2010-11), an increase in depth integrated chlorophyll a (chl-a) occurred in Lake Bonney caused by stimulation of photoautotrophic green algae. Collectively our data reveal that phytoplankton groups possessing variable trophic abilities are differentially competitive during seasonal and long-term time scales owing to periods of higher nutrients (photoautotrophs) vs. light/energy limitation (mixotrophs).
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1988-12-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1988-12-12 (19:58:37.3570810Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161988347XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-02T22:37:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1988-12-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1988-12-28 (19:58:48.9010940Z) by Landsat 4, row 116, path 55. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161988363XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-01-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-01-29 (19:59:20.8290310Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989029XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-02-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-02-14 (19:59:35.1740130Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989045XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:44:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-03-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-03-18 (19:59:29.0770880Z) by Landsat 4, row 116, path 55. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989077XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-30T16:59:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-11-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-11-29 (19:59:46.2890690Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989333XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:58Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1989-12-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1989-12-31 (19:59:30.0940250Z) by Landsat 4, row 116, path 55. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161989365XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:45:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1990-02-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1990-02-17 (19:58:56.6750380Z) by Landsat 4, row 116, path 55. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161990048XXX00, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-29T18:54:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1992-12-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1992-12-23 (19:38:55.0420000Z) by Landsat 4, row 116, path 55. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40551161992358XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-28T03:32:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1992-12-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1992-12-30 (19:45:19.3990880Z) by Landsat 4, row 116, path 56. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40561161992365AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-28T03:32:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER collected on 1993-01-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for McMurdo Dry Valleys LTER, originally collected on 1993-01-15 (19:45:45.8210630Z) by Landsat 4, row 116, path 56. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40561161993015XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T09:46:11Z.
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