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Title: Next-Generation Ecosystem Experiments (NGEE) - Arctic

The Next-Generation Ecosystem Experiments (NGEE Arctic) is a 10-year project (2012 to 2022) to reduce uncertainty in ESMs through developing a predictive understanding of carbon-rich Arctic system processes and feedbacks to climate. This is achieved through experiments, observations, and synthesis of existing datasets that strategically inform model process representation and parameterization and enhance the knowledge base required for model initialization, calibration, and evaluation. NGEE Arctic aims to quantify the physical, chemical, and biological behavior of terrestrial ecosystems in Alaska. NGEE Arctic focuses on high-latitude ecosystems underlain by carbon-rich permafrost that are vulnerable to thaw in a warmer climate.
Product Type:
Project
Project Lead:
 [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Research Org(s):
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); University of Alaska Fairbanks, Fairbanks, AK (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Geolocation:
-147.833542,64.855757
Subject:
54 ENVIRONMENTAL SCIENCES; ngee; ngee arctic; permafrost projections; North Slope; earth system models; arctic; sea ice; snowpack; model-experiment integration; ModEx; accelerated climate model for energy; ACME; ESM
OSTI Identifier:
1374174
Project Location:
Fairbanks, AK
No associated Collections found.
  1. This data collection contains the map products described in Hoffman et. al., 2013, journal DOI reference: 10.1007/s10980-013-9902-0
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  2. This dataset provides details about soil cores (active layer and permafrost) collected from ice-wedge polygons during field expeditions to Barrow Environmental Observatory, Alaska in April, 2012 and 2013. Core information available are exact core locations; soil horizon descriptions and characteristics; and fundamental soil physico-chemical properties. In February 2016, two columns (carbon and carbon:nitrogen in soil layer) were added to the data but no existing data values changed. See documentation. The new filename is version 2. In July 2016, data for two soil cores were added. The new filename is version 3.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  3. The dataset is a digital elevation model, DEM, of a 2km by 7km region in the vicinity of the Barrow Environmental Observatory near Barrow, Ak.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  4. Figure 7a in http://esd.lbl.gov/files/about/staff/susanhubbard/PUBLISHED_-_Hubbard-Hydrogeology-2012_with_Gangodagamage_et_al.pdf
    View Dataset
    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  5. Plant roots play a critical role in ecosystem function in arctic tundra, but root dynamics in these ecosystems are poorly understood. To address this knowledge gap, we synthesized available literature on tundra roots, including their distribution, dynamics, and contribution to ecosystem carbon and nutrient fluxes, and we highlighted key aspects of their representation in terrestrial biosphere models. Across all tundra ecosystems, belowground plant biomass exceeded aboveground biomass, with the exception of polar desert tundra. Roots were shallowly-distributed in the thin layer of soil that thaws annually, and were often found in surface organic soil horizons. Root traits including distribution, chemistry,more » anatomy, and resource partitioning play an important role in controlling plant species competition, and therefore ecosystem carbon and nutrient fluxes, under changing climatic conditions, but have only been quantified for a small fraction of tundra plants. Further, the annual production and mortality of fine roots are key components of ecosystem processes in tundra, but extant data are sparse. Tundra root traits and dynamics should be the focus of future research efforts. Better representation of the dynamics and characteristics of tundra roots will improve the utility of models for evaluating the responses of tundra ecosystems to changing environmental conditions. « less
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  6. This dataset reports measurements of plant available nutrients made using Plant Root Simulator (PRS) probes (Western Ag Innovations Inc.) during 2012 and 2013 at the Next-Generation Ecosystem Experiments (NGEE) Arctic field site near Barrow, Alaska. In 2012, Ca, Mg, K, P, Fe, Mn, Cu, Zn, B, S, Pb, Al, Cd, NO3-N and NH4-N availability were measured during spring, summer and winter from probes installed in the centers, edges and troughs of four polygons in each of four areas of contrasting moisture regime and polygon type (Areas A, B, C, and D of Intensive Site 1). In 2013, probes were installedmore » in centers, edges and troughs of four polygons in each of two areas (A and B, with low-centered and high-centered polygons respectively) at two-week intervals and at 3 soil depths to capture fine-scale seasonal dynamics of NO3-N and NH4-N. PRS probes are ion exchange resin membranes held in plastic supports that are inserted into soil to measure ion supply in situ. The anion and cation exchange with the membrane is intended to mimic plant uptake and thus provide a relevant measure of soil nutrient bioavailability. Measurements are made per area of probe membrane and cannot be converted to concentrations or related to soil volume. « less
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  7. This dataset consists of field measurements of soil properties made during 2012 and 2013 in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) weekly measurements of thaw depth, soil moisture, presence and depth of standing water, and soil temperature made during the 2012 and 2013 growing seasons (June - September) and ii) half-hourly measurements of soil temperature logged continuously during the period June 2012 to September 2013.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  8. Arctic ecosystems have been observed to be warming faster than the global average and are predicted to experience accelerated changes in climate due to global warming. Arctic vegetation is particularly sensitive to warming conditions and likely to exhibit shifts in species composition, phenology and productivity under changing climate. Mapping and monitoring of changes in vegetation is essential to understand the effect of climate change on the ecosystem functions. Vegetation exhibits unique spectral characteristics which can be harnessed to discriminate plant types and develop quantitative vegetation indices. We have combined high resolution multi-spectral remote sensing from the WorldView 2 satellite withmore » LIDAR-derived digital elevation models to characterize the tundra landscape on the North Slope of Alaska. Classification of landscape using spectral and topographic characteristics yields spatial regions with expectedly similar vegetation characteristics. A field campaign was conducted during peak growing season to collect vegetation harvests from a number of 1m x 1m plots in the study region, which were then analyzed for distribution of vegetation types in the plots. Statistical relationships were developed between spectral and topographic characteristics and vegetation type distributions at the vegetation plots. These derived relationships were employed to statistically upscale the vegetation distributions for the landscape based on spectral characteristics. Vegetation distributions developed are being used to provide Plant Functional Type (PFT) maps for use in the Community Land Model (CLM). « less
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  9. The EC tower is operated as part of the Next Generation Ecosystem Experiment-Arctic (NGEE) at Barrow, Alaska. The tower is collecting flux data from the beginning of the thaw season, early June, and until conditions are completely frozen, early November. The tower is equipped with a Gill R3-50 Sonic Anemometer, LI-7700 (CH4) sensor, a LI-7500A (CO2/H2O) sensor, and radiation sensors (Kipp and Zonen CNR-4 (four component radiometer), two LiCor LI-190 quantum sensors (PAR upwelling and downwelling), and a down-looking Apogee SI-111 infrared radiometer (surface temperature)). The sensors are remotely controlled, and communication with the tower allows us to retrieve informationmore » in real time. « less
    View Dataset
    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  10. This dataset represent spatially intensive thaw depth surveys with individual point measurements spaced approximately 0.5 m apart. The three approximate10x10m grids cover an ice wedge and a portion of its two neighboring polygons. The file contains thaw depth, frost table elevation, ground surface elevation, active layer depth and surface water inundation across three seasons (2012, 2013 and 2014) at Barrow NGEE Areas B, C and D.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  11. Subsurface temperature data are being collected along a transect from the center of the polygon through the trough (and to the center of the adjacent polygon for Area D). Each transect has five 1.5m vertical array thermistor probes with 16 thermistors each. This dataset also includes soil pits that have been instrumented for temperature, water content, thermal conductivity, and heat flux at the permafrost table. Area C has a shallow borehole of 2.5 meters depth is instrumented in the center of the polygon.
    View Dataset
    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  12. This dataset contains i) the results of field surveys of plant community composition and vegetation height made between 17th and 29th July 2012 in 48, 1 x 1 m plots located in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska and ii) results of a mapping exercise undertaken in August 2013 using two perpendicular transects across each polygon containing vegetation plots to determine the boundaries of vegetation communities described in 2012.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  13. This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.
    View Dataset
    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  14. The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, bothmore » topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers. « less
    View Dataset
    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  15. Carbon flux data are reported as Net Ecosystem Exchange (NEE), Gross Ecosystem Exchange (GEE), Ecosystem Respiration (ER), and Methane (CH4) flux. Measurements were made at 82 plots across various polygon geomorphic classes at research sites on the Barrow Environmental Observatory (BEO), the Biocomplexity Experiment site on the BEO, and the International Biological Program (IBP) site a little west of the BEO. This product is a compilation of data from 27 plots as presented in Lara et al. (2012), data from six plots presented in Olivas et al. (2010); and from 49 plots described in (Lara et al. 2014). Measurements weremore » made during the peak of the growing seasons during 2006 to 2010. At each of the measurement plots (except Olivas et al., 2010) four different thicknesses of shade cloth were used to generate CO2 light response curves. Light response curves were used to normalize photosynthetically active radiation that is diurnally variable to a peak growing season average ~400 umolm-2sec-1. At the Olivas et al. (2010) plots, diurnal patterns were characterized by repeated sampling. CO2 measurements were made using a closed-chamber photosynthesis system and CH4 measurements were made using a photo-acoustic multi-gas analyzer. In addition, plot-level measurements for thaw depth (TD), water table depth (WTD), leaf area index (LAI), and normalized difference vegetation index (NDVI) are summarized by geomorphic polygon type. « less
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  16. Continuous Snow depth data are being collected at several points within four intensive study areas in Barrow, Alaska. These data are being collected to better understand the energy dynamics above the active layer and permafrost. They complement in-situ snow and soil measurements at this location. The data could also be used as supporting measurements for other research and modeling activities.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  17. The NGEE Arctic Webcam (PTZ Camera) captures two views of seasonal transitions from its generally south-facing position on a tower located at the Barrow Environmental Observatory near Barrow, Alaska. Images are captured every 30 minutes. Historical images are available for download. The camera is operated by the U.S. DOE sponsored Next Generation Ecosystem Experiments - Arctic (NGEE Arctic) project.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  18. To assess the effects of microtopography and depth on ground water geochemistry in arctic polygonal terrain.
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  19. Data include a large suite of analytes (geochemical and isotopic) for samples collected in Barrow, Alaska (2012-2013). Sample types are indicated, and include soil pore waters, drainage waters, snowmelt, precipitation, and permafrost samples.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)
  20. Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER)