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12 results for “Mirror Lake”
Hubbard Brook Experimental Forest: Mirror Lake Ice Cover 1968 - ongoing
This data set reports ice on and ice off dates for Mirror Lake beginning in 1968 and continuing through the present. Mirror Lake is located within the Hubbard Brook valley in the White Mountains of New Hampshire, and has been the subject of numerous limnological investigations since the early 1960s. These Mirror Lake data are part of the Hubbard Brook Watershed Ecosystem Record (HBWatER), a long-term record of weekly sampling of nine gaged watersheds at Hubbard Brook which includes the stream draining Mirror Lake. The collection and management of the long-term record was initiated in 1963 by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M. Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES) and Jeff Merriam (USFS) and the dataset is curated and maintained by a team of researchers: Chris Solomon (Cary IES), Emily Bernhardt (Duke), Bill McDowell (UNH), Charley Driscoll (Syracuse U.), Keith Nislow (USFS), and Mark Green (Case Western). Current financial Support for HBWatER is provided by NSF LTREB # 2401760 and the USDA Forest Service Northern Research Station. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake outlet streamwater 1967 – 2021
Mirror Lake is located within the Hubbard Brook Valley, NH and has been the subject of numerous continuous limnological investigations since the early 1960s. The long-term Mirror Lake record is part of the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a long-term record of weekly sampling of nine gaged watersheds at Hubbard Brook and includes sampling of the Mirror Lake inlets, outlets and water column. This data set reports streamwater chemistry samples from the Mirror Lake outlet beginning in 1967 and continuing through 2014. The collection and management of the long-term record was initiated in 1963 by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M. Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES) and Jeff Merriam (USFS) and the datasets are curated and maintained by a team of researchers: Chris Solomon (Cary IES), Emma Rosi (Cary IES), Emily Bernhardt (Duke), Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH), Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott Bailey (USFS). Current financial Support for HBWatER is provided by NSF LTREB # 1907683 and the USDA Forest Service Northern Research Station. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Mirror Lake High-Frequency Dissolved Oxygen and Temperature Profiles
This lake metabolism data was collected by HOBO Temperature loggers and miniDOT loggers that were deployed at Mirror Lake Central Buoy over the deepest part of the lake (11m) on 2023-08-23. HOBO loggers were deployed vertically at depths 0.25m, 2m, and 4m, and miniDOT loggers were deployed vertically at depths 0.5m, 1m, and 6m. Sensors were tied to nylon climbing rope at these different depths and anchored to a buoy. Loggers were later removed on 2023-09-08. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest in the White Mountains of New Hampshire, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Mirror Lake Thermal Profiles 1981 - 2011
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes thermal profiles consisting of temperatures measured at discrete depths. Measurements were made using a hand-held instrument from a boat at an anchored buoy station located at the deepest part (11 m at full pool) of Mirror Lake during the open water (ice-free) season. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Data from: Repeated divergence in opsin genes expression mirrors photic habitat changes in rapidly evolving crater lake cichlid fishes
<div> <div> <div class="msocomtxt"> <p class="MsoNormal"><span>Selection pressures differ along environmental gradients and organisms' phenotypes. Traits tightly linked to fitness (e.g., the visual system) are expected to closely track environmental variation along gradients. Within such gradients, adaptation to local conditions might be due to heritable and non-heritable, environmentally induced variation. Disentangling these sources of phenotypic variation requires studying, in nature and the laboratory, closely related populations experiencing different environments. The Nicaraguan great and crater lakes show an environmental gradient in photic conditions extending from clear crater lakes to very turbid great lakes. From two old, turbid great lakes, Midas cichlid fish (<em>Amphilophus </em>cf.<em> citrinellus</em>) independently colonized seven isolated crater lakes of varying light conditions, resulting in a small adaptive radiation. We estimated the variation in visual sensitivities along this photic gradient by measuring differential cone opsin gene expression among populations from different lakes. The visual sensitivities observed in all seven derived crater lake populations have not changed randomly but shifted predictably in direction and magnitude, repeatedly mirroring changes in photic conditions. Intrapopulation phenotypic variation decreases as environments become spectrally narrower suggesting different selective landscapes within the gradient. Comparing wild-caught and lab-reared fish revealed that 48% of this phenotypic variation is genetically determined and evolved rapidly. Our results demonstrate deterministic, rapid phenotypic evolution that fine-tunes visual sensitivity to fine-scale environmental variation.</span></p> <p class="MsoCommentText"><span> </span></p> </div> </div> </div>
Data from: Repeated divergence in opsin gene expression mirrors photic habitat changes in rapidly evolving crater lake cichlid fishes
Open the record for dataset details and reuse information.
Hubbard Brook site, station Mirror Lake, study of ice duration in units of daysPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains ice duration measurements in daysPerYear units and were aggregated to a yearly timescale.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake water column 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes chemistry data for water samples collected approximately monthly at an anchored buoy station located at the deepest part (11 m at full pool) of Mirror Lake. Measurements include ANC, DIC, DO, base cations, pH, ammonium, anions, temperature and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake West Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of the West Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake NE Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of Northeast Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake NW Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of Northwest Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
New Hampshire, Mirror Lake LTER water chemistry, 1967-2010
The New York State Lake Classification and Inventory (LCI) monitoring program, which is a component of the Statewide Waters Monitoring Program of the New York State Department of Environmental Conservation Division of Water (NYSDEC). Data was originally provided in an excel sheet LCI Master 1982-2010 updated and this is available in dropbox. The LAGOS-appropriate (shortened, some processing) file is LCI Master 1982-2010_shortened.xls. The LCI database is a complement to the CSLAP database. LCI began in the early 1980s an ambient lake monitoring program to evaluate baseline water quality conditions in lakes throughout the state, utilizing a rotating monitoring cycle loosely patterned after the stream monitoring programs conducted by the Department. However, due to staff shortages, this ambient lake monitoring program (the LCI) was suspended in 1990. This left the NY Citizens Statewide Lake Assessment Program (CSLAP), a volunteer lake monitoring program overseen by NYSDEC, as the only statewide ambient lake monitoring program conducted by the NYSDEC. However, the LCI program was re-initiated in the mid-1990s, using a rotating-basin approach to sampling. Note that some of the lakes appear in both data sets. The primary goals of the LCI Monitoring Program component of the New York Statewide Waters Monitoring Program include: 1) water quality screening of as many waters as possible to document “good” waters that support designated uses, and identify waters with possible/potential impairment to uses; 2) Intensive sampling of selected waters to evaluate impairments, causes and sources and to characterize general water quality conditions
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