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69 results for “Bonanza Creek Experimental Forest”
Redox-Active Organic Matter Measurements at the APEX fen in the Bonanza Creek Experimental Forest near Fairbanks, Alaska (2021-2022)
This dataset contains measurements collected for the publication "Direct and Indirect Effects of Water Table on Redox-Active Organic Matter Reduction in an Alaskan Rich Fen". This includes redox-active organic matter reduction measurements for three different experiments that took place at the APEX Fen; (1) common substrate in 2021, (2) common substrate in 2022, (3) peat collected from each water-table manipulation plot. Water-table levels are reported for experiments 1 and 2. Carbon greenhouse gas measurements and fluorescence and absorbance data are reported for experiment 2. Carbon greenhouse gas measurements are reported for experiment 3.
Bonanza Creek Experimental Forest Beetles Per Trap Beginning in 1975 - Kruse (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/504/7. The abstract below was extracted from the Level 0 data package and is included for context: This is a more detailed datafile then the previous method of reporting found in the datafile: Bonanza Creek Experimental Forest Bark Beetle Per Trap 1Begining in 1975 - Werner. Starting 2010 it contains counts of all woodboring insects and bark beetles caught in the pheromone baited traps, and retains information at the individual sample level.
Bonanza Creek LTER: Shrub, Seedling and Sapling Density from 1975 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/320/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/530/11. The abstract below was extracted from the Level 0 data package and is included for context: This study is a survey of the density of tall shrubs, saplings, and seedlings at Bonanza Creek LTER Control Plots. Densities have been measured at some sites since 1975 while others began in the mid 1980's. In 2006 methodology was changed in attempt to better capture the spatial variability of shrub and tree species within the research sites. The current method, presented here, uses a 2 meter wide transect along two site boundaries covering 220m2. All seedlings, saplings, and tall shrubs >1m (regardless of species) are counted by species and size class along the transect. The previous method used 4m2 circular plots at 20 points on a 10mx10m grid within the control plot for an area of 80m2. The circular method measured all seedlings, saplings, and a certain set of "tall shrubs", regardless of height. The height requirement creates an issue when comparing the old and new methods for early successional stands. For Alnus and Salix this is likely only a problem in the FP0 sites as they are the only sites with a high density of shrubs shorter than 1m. Shrub community changes at these early successional sites should be analyzed using percent cover data. At the later successional sites most Alnus and Salix shrubs are greater than 1m so the transect method likely does not underrepresent density. The metadata and raw data from the circular method can be found in <a href="http://www.lter.uaf.edu/data/data-detail/id/175"> Vegetation Plots of the Bonanza Creek LTER Control Plo
Surface carbon, water and energy fluxes measured by eddy covariance at 3 sites within the Alaska Peatlands Experiment and Bonanza Creek Experimental Forest
These data are simultaneous and continuous measurements of carbon, water and energy fluxes of the terrestrial landscape. These fluxes are major regulatory drivers of the boreal climate system and form key linkages and feedbacks between the land surface, the atmosphere and the oceans. At the APEX project site, within Bonanza Creek Experimental Forest, this monitoring is repeated across a chronosequence of permafrost degradation; the Black Spruce site is an area of stable permafrost with intact black spruce forest (APEX gamma site), the Thermokarst site is an active thermokarst zone with considerable tree mortality (APEX betaSW site), the Fen site is within a stable treeless fen with deep active layer depth (APEX apexcon,low, and ele sites). The main variables being monitored are the instananeous fluxes of CO2, water vapor and surface energy (shortwave, longwave and net radiation), secondary variables included photosynthetically active radiation (PAR), air and soil temperatures, rainfall, snow depth, soil moisture content, wind direction and speed, and average atmospheric concentrations of CO2 and H2O through the year.
Bonanza Creek Experimental Forest Beetles Per Trap Beginning in 1975 - Kruse (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/251/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/504/7. The abstract below was extracted from the Level 0 data package and is included for context: This is a more detailed datafile then the previous method of reporting found in the datafile: Bonanza Creek Experimental Forest Bark Beetle Per Trap 1Begining in 1975 - Werner. Starting 2010 it contains counts of all woodboring insects and bark beetles caught in the pheromone baited traps, and retains information at the individual sample level.
Raw D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Growing Season D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Tree stand structure summary at Bonanza Creek Experimental Forest LTER sites
We measure trees and shrubs within 50 x 60 m permanent plots at LTER research sites within the Bonanza Creek Experimental Forest, as a means to monitor vegetation change and to estimate productivity. The 27 LTER research sites represent three replicates each of six successional stages of primary succession on the floodplain of the Tanana River and three stages of succession following wildfire in the uplands. All trees and tall shrubs within the plot are stem mapped, and the dbh is measured at least every 5 years. The condition of each tree is assessed at the time of measurement and following major disturbance events. Band dendrometers have been placed on select trees at each site where applicable. Litterfall and seedfall are collected and measured annually. White spruce seedlings are mapped and their heights measured every 2 years within the tree plots at younger successional stages. The DBH of alders and willows are measured. Shrub heights are measured annually at young floodplain stands. Changes in species composition through succession are a function of life history traits modified by facilitative and competitive interactions. Vegetation-caused changes in resource (light, nutrients, and moisture)availability during succession control vegetation biomass, productivity, and organic matter and nutrient distribution.
Average D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
White Spruce Seedling Counts at Bonanza Creek Experimental Forest Vegetation Plots (4-sq meters)
This study is a survey of the spruce seedlings of 24 LTER sites in Bonanza Creek Experimental Forest. The 24 sites are divided into three replicates for six primary successional stages onthe floodplains (3 replicates X 5 successional stages = 15 sites) and three replicates for three secondary sucessional stages in the uplands (3 replicates X 3 successional stages = 9 sites). White spruce seedlings were surveyed on some sites as early as 1975 and every 1-2 years from the 1980's through 2004. Seedlings are currently surveyed as part of the <a href="http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=530"> Shrub, Seedling and Sapling Density at Bonanza Creek LTER Research Sites (2006-Present) </a> data package.
Species list for Bonanza Creek Experimental Forest
The Species list for Bonanza Creek Experimental Forest includes a listing of all species documented at the Bonanza Creek Experimental Forest in Fairbanks, Alaska, USA. Vascular and non-vascular plant species lists were compiled by long-term vegetation monitoring and vascular and non-vascular plant collections. Plant identifications were made according to Viereck and Little and Eric Hulten. Animal species lists were compiled by physical (sitings, track, and scat) observations and published documents and reports.
Bonanza Creek Experimental Forest Beetle Population Counts
Defoliating insect population levels for the Bonanza Creeek Experimental Forest for the Summers of 2001 - Present. The datafile has trap types, species counts... This is a more detailed datafile then the previous method of reporting found in the datafile: Bonanza Creek Experimental Forest Defoliating Insect Population Levels Per Trap: 1975 - 2002
Bonanza Creek Experimental Forest Beetles Per Trap 1975-2012 - Werner
Bark beetle population levels were monitored at Bonanza Creek Experimental Forest, Fairbanks, Alaska, USA from 1976 to 2012. The per trap total insect count is archived in this dataset for three common tree-killing species of bark beetle in Interior Alaska.
Bonanza Creek Experimental Forest Defoliating Insect Population Levels Per Leaf 1975-2012 - Werner
Defoliating insect population levels were monitored at Bonanza Creek Experimental Forest, Fairbanks, Alaska, USA from 1976 to 202012. Total number of insects per square meter of foliage is archived in this dataset.
Bonanza Creek Experimental Forest GIS Data: Stream Lines
This data package contains the streams lines generated for 63,360 Digital Line Grafics (DLG) in and near our research areas in the Bonanza Creek Experimental forest. Geospatial_Data_Presentation_Form: vector digital data.
Bonanza Creek Experimental Forest GIS Data: Spot 5 Imagery
Spot 5 pan-sharpened satellite image in the Standard Creek area of the Tanana Valley, Alaska. This image was acquired and processed as part of the "Vegetation and Community Mapping of the Tanana Valley" project, conducted cooperatively by the State of Alaska Department of Natural Resources, Division of Forestry and Tanana Chiefs Conference. Originator: State of Alaska, Dept. of Nat. Resources, Division of Forestry. Publication_Date: 3/21/05. Geospatial_Data_Presentation_Form: remote-sensing image.
Bonanza Creek Experimental Forest GIS Data: Digital Elevation Model (DEM)
This file contains one of many raster grids of the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The filled DEM grid was created from the original elevation data by filling all of the depressions, or sinks, in the original DEM. To create this grid, an algorithm was used to loacted and fill all depressions or sinks where there was no flow from pixel to pixel. During this process, efforts were made to maintain natural sink features. Originator: U.S. Geological Survey. Publication_Date: 2006. Title: bcef_dem.tif. Edition: Stage I Data. Geospatial_Data_Presentation_Form: Remote-sensing image. Series_Information: Series_Name: Elevation Derivatives for National Applications (EDNA). Publication_Information: Publication_Place: USGS EROS, Sioux Falls, South Dakota. Publisher: U.S. Geological Survey.
Bonanza Creek Experimental Forest GIS Data: Reasearch Area Boundary (NAD83)
This data package contains the area boundary line for the Bonanza Creek Experimental forest in ArcGIS format. Geospatial_Data_Presentation_Form: vector digital data.
Known-fate survival information for radio-tagged snowshoe hares captured in Bonanza Creek Experimental Forest from June 2008 to November 2012
This dataset contains known-fate survival information for radio-tagged snowshoe hares captured in two 200 x 450 m live-trapping grids in Bonanza Creek Experimental Forest from June 2008 to November 2012. The data can be sorted and viewed by year, site, number at risk, and number of mortalities.
Snowshoe hare physical data in Bonanza Creek Experimental Forest: 1999-Present
Snowshoe hares, Lepus americanus, are a 'keystone' prey species in northern boreal forests and experience population fluctuations of 8-11-years. Despite intense responses of both vegetation and predators to changes in hare densities, landscape-scale comparisons of hare populations in Alaska have been limited to qualitative descriptions. We conducted capture-recapture studies of snowshoe hares at 5 locales in the Tanana valley, from Tok in the east to Clear in the west from 1999 to 2002. Snowshoe hare densities were highest in 1999 ( =6.36 ha-1, SE=0.63) and declined thereafter. We were unable to detect declines in apparent survival during declining densities in our study populations. Movement distances did not vary temporally and persistence of individuals through declining densities may be associated positively with body condition at the peak. The relationship of hare pellets and hare densities was weak and limits the utility of this methodology for estimating hare densities in Interior Alaska.
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