CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010
Abstract
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. ArcView GIS files available of the Land Cover Type Classifications.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 were 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-gasmore »
- Authors:
- Contributors:
- Publication Date:
- Other Number(s):
- https://doi.org/10.5440/1156852; NGA006
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Collaborations:
- PNL, BNL,ANL,ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- Keywords:
- Water Table Depth; CH4 flux; GEE; WTD; Gross Ecosystem Exchange; Methane Flux; C-CO2eq; Ecosystem Respiration; Thaw Depth; ER; NDVI; Normalized Difference Vegetation Index; NEE; TD; Carbon Dioxide equivalence; North Slope, Alaska; International Biological Program research site; Barrow, Alaska; Net Ecosystem Exchange; Utqiagvik, Alaska; Arctic; Barrow Environmental Observatory (BEO)
- Geolocation:
- 71.35,-156.4|71.2,-156.4|71.2,-156.7|71.35,-156.7|71.35,-156.4
- OSTI Identifier:
- 1156852
- DOI:
- https://doi.org/10.5440/1156852
- Project Location:
-
Citation Formats
Lara, Mark, Tweedie, Craig, NGEE-arctic, Support:, IPY-BTF, Department of Energy; and, and Foundation, National Science. CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010. United States: N. p., 2014.
Web. doi:10.5440/1156852.
Lara, Mark, Tweedie, Craig, NGEE-arctic, Support:, IPY-BTF, Department of Energy; and, & Foundation, National Science. CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010. United States. doi:https://doi.org/10.5440/1156852
Lara, Mark, Tweedie, Craig, NGEE-arctic, Support:, IPY-BTF, Department of Energy; and, and Foundation, National Science. 2014.
"CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010". United States. doi:https://doi.org/10.5440/1156852. https://www.osti.gov/servlets/purl/1156852. Pub date:Tue Sep 09 00:00:00 EDT 2014
@article{osti_1156852,
title = {CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010},
author = {Lara, Mark and Tweedie, Craig and NGEE-arctic, Support: and IPY-BTF, Department of Energy; and and Foundation, National Science},
abstractNote = {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. ArcView GIS files available of the Land Cover Type Classifications.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 were 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. Citations can be found within the related references field. This dataset includes one zipped file, one pdf, and one .txt file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},
doi = {10.5440/1156852},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {9}
}