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LBA-ECO TG-07 TRACE GAS FLUXES, UNDISTURBED AND LOGGED SITES, PARA, BRAZIL: 2000-2002

Entry ID: LBA_TG07_TGF

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Summary

Abstract: Selective logging is an extensive land use in the Brazilian Amazon region. We studied the soil-atmosphere fluxes of nitrous oxide (N2O), nitric oxide (NO), methane (CH4), and carbon dioxide (CO2) on two soil types (clay Oxisol and sandy loam Ultisol) over two years (2000-2001)in both undisturbed forest and forest recently logged using reduced impact forest management in the Tapajos National ... Forest, near Santarem, Para, Brazil. In undisturbed forest, annual soil-atmosphere fluxes of N2O (mean +/- standard error) were 7.9 +/- 0.7 and 7.0 +/- 0.6 ng N cm-2 h-1 for the Oxisol and 1.7 +/- 0.1 and 1.6 +/- 0.3 ng N cm-2 h-1 for the Ultisol for 2000 and 2001 respectively. The annual fluxes of NO from undisturbed forest soil in 2001 was 9.0 +/- 2.8 ng N cm-2 h-1 for the Oxisol and 8.8 +/- 5.0 ng N cm-2 h-1 for the Ultisol. Consumption of CH4 from the atmosphere dominated over production on undisturbed forest soils. Fluxes averaged -0.3 +/- 0.2 and -0.1 +/- 0.9 mg CH4 m-2 d-1 on the Oxisol and -1.0 +/- 0.2 and -0.9 +/- 0.3 mg CH4 m-2 d-1 on the Ultisol for years 2000 and 2001. For CO2 in 2001, the annual fluxes averaged 3.6 +/- 0.4 :mol m-2 s-1 on the Oxisol and 4.9 +/- 1.1 :mol m-2 s-1 on the Ultisol. We measured fluxes over one year each from two recently logged forests on the Oxisol in 2000 and on the Ultisol in 2001. Sampling in logged areas was stratified from greatest to least ground disturbance covering log decks, skid trails, tree-fall gaps, and forest matrix. Areas of strong soil compaction, especially the skid trails and logging decks were prone to significantly greater emissions of N2O, NO, and especially CH4. In the case of CH4, estimated annual emissions from decks reached extremely high rates of 531 +/- 419 and 98 +/- 41 mg CH4 m-2 d-1, for Oxisol and Ultisol sites respectively, comparable to wetland emissions in the region. We calculated excess fluxes from logged areas by subtraction of a background forest matrix or undisturbed forest flux and adjusted these fluxes for the proportional area of ground disturbance. Our calculations suggest that selective logging increases emissions of N2O and NO from 30% to 350% depending upon conditions. While undisturbed forest was a CH4 sink, logged forest tended to emit methane at moderate rates. Soil-atmosphere CO2 fluxes were only slightly affected by logging. The regional effects of logging cannot be simply extrapolated based upon one site. We studied sites where reduced impact harvest management was used while in typical conventional logging ground damage is twice as great. Even so, our results indicate that for N2O, NO, and CH4, logging disturbance may be as important for regional budgets of these gases as other extensive land use changes in the Amazon such as the conversion of forest to cattle pasture.

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Description: LBA-ECO TG-07 TRACE GAS FLUXES, UNDISTURBED AND LOGGED SITES, PARA, BRAZIL: 2000-2002

Geographic Coverage

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Spatial coordinates

N: -3.02

S: -3.02

E: -54.97

W: -54.97

Data Set Citation

Dataset Originator/Creator: ASNER, G.P.CRILL, P.M.DE OLIVEIRA, R.C. JR.DIAS, J.D.KELLER, M.M.SILVA, H.S.VARNER, R.K.

Dataset Title: LBA-ECO TG-07 TRACE GAS FLUXES, UNDISTURBED AND LOGGED SITES, PARA, BRAZIL: 2000-2002

Dataset Release Date: 2009

Dataset Release Place: Oak Ridge, Tennessee, U.S.A.

Dataset Publisher: Oak Ridge National Laboratory Distributed Active Archive Center

Data Presentation Form: Online Files

Dataset DOI: doi:10.3334/ORNLDAAC/926

Online Resource: http://mercury.ornl.gov/ornldaac/send/query?term2=926&term2attribut...

Temporal Coverage

Start Date: 2000-01-19

Stop Date: 2002-02-26

Location Keywords

CONTINENT > SOUTH AMERICA > BRAZIL

Science Keywords

ATMOSPHERE > ATMOSPHERIC TEMPERATURE > AIR TEMPERATURE

ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > CARBON DIOXIDE

ISO Topic Category

GEOSCIENTIFIC INFORMATION

INLAND WATERS

OCEANS

Platform

ICESAT > Ice, Cloud and Land Elevation Satellite

SATELLITES

Instrument

Altimeters

GLAS > Geoscience Laser Altimeter System

Project

EOSDIS > Earth Observing System Data Information System

ICESAT > Ice, Cloud and Land Elevation Satellite

ESIP > Earth Science Information Partners Program

Quality Browse products in PNG graphic format contain quality information; these are available along with corresponding data granules in the Data Pool or EOS Data Gateway. The i_FrameQF quality flag is set to '1' if there is a problem in calculating individual parameters, or the flag is set to '0' if there are no problems.

Ancillary Keywords

Atmospheric Delay Correction

DAAC

Data Set Progress

IN WORK

Data Center

NSIDC Distributed Active Archive Center

Data Center URL: http://nsidc.org/daac/index.html
Dataset ID: GLA121

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

National Snow and Ice Data Center

Data Center URL: http://nsidc.org
Dataset ID: GLA121

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

Distribution

Distribution Media: FTP

Distribution Size: 104 MB per granule

Distribution Format: scaled integer binary

Personnel

NSIDC USER SERVICES

Role: TECHNICAL CONTACT

Phone: +1 (303) 492-6199

Fax: +1 (303) 492-2468

Email: nsidc at nsidc.org

Contact Address:

National Snow and Ice Data Center

CIRES, 449 UCB

University of Colorado

City: Boulder

Province or State: CO

Postal Code: 80309-0449

Country: USA

Publications/References

Bae, S. and B.E. Schutz. 2002. Precision attitude determination (PAD). GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research, University of Texas at Austin. Brenner, A.C., C.R. Bentley, B.M. Csatho, D.J. Harding, M.A. Hofton, J. Minster, L. Roberts, J.L. Saba, R. Schutz, R.H. Thomas, D. Yi, and H.J. Zwally. 2000. Derivation of range and range distributions ... from laser pulse waveform analysis for surface elevations, roughness, slope, and vegetation heights. Algorithm theoretical basis document. Version 3.0. Greenbelt, MD: Goddard Space Flight Center. Center for Space Research. 'ICESat/GLAS.' January 2002. http://www.csr.utexas.edu/glas/. Davis C.H. and H.J. Zwally. 1993. Geographic and seasonal variations in the surface properties of the ice sheets by satellite radar altimetry. Journal of Glaciology 39:687-697. Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) Systems and Operations Concept. Greenbelt, MD: Goddard Space Flight Center. Farrell, W.E. 1972. Deformation of the Earth by surface loads. Review of Geophysics and Space Physics 10: 761-797. GLAS Science Team. 2000. Mission Operations Requirement Document (MORD) for the Ice, Cloud and Land Elevation Satellite (ICESat) Mission. Greenbelt, MD: Goddard Space Flight Center. GLAS Science Team. 1997. GLAS Science Requirements. Version 2.01. Greenbelt, MD: Goddard Space Flight Center. Heroux, D. 2000. Progress report on GLAS interface effort with ECS NOSE. Rev. 29 December 2000. Landover, MD: Emergent-IT/Raytheon. Herring, T.A. and K. Quinn. 1999. Atmospheric delay correction to GLAS laser altimeter ranges. GLAS algorithm theoretical basis document. Version 1.0. Lanham, MD: Science Systems and Applications, Inc. Jester, P., and D. Hancock. 2002. The Algorithm Theoretical Basis Document for Level 1A Processing, Version 1.2. Wallops Island, VA: Raytheon ITSS. Jester, P., and J. Lee. 2002. GLAS standard data products specification - level 1. Version 6.0. Wallops Island, VA: Raytheon ITSS. Lee, J. 2002. GSAS user's guide: Version 4.0. Wallops Island, VA: Raytheon ITSS. McGarry, J.F., J. Abshire, X. Sun, J. Saba, A. Brenner, and D. Yi. 2002. GLAS flight science data selection algorithms for the altimeter (1064 nm), Version 4.15. Unpublished report. Rim, H., and B. Schutz. 2002. Precision orbit determination. GLAS algorithm theoretical basis document. Version 2.2. Austin, TX: Center for Space Research, University of Texas at Austin. Schutz, B. 2000. GLAS altimeter post-launch calibration/validation plan. Version 0.99. Austin, TX: Center for Space Research, University of Texas at Austin. Schutz, B. 2002. Laser footprint location (geolocation) and surface profiles. GLAS algorithm theoretical basis document. Version 3.0. Austin, TX: Center for Space Research, University of Texas at Austin. Wahr, J., D. Wingham, and C. Bentley. 2000. A method of combining ICESat and GRACE satellite data to constrain Antarctic mass balance. Journal of Geophysical Research 105(B7):16,279-16,294. Yi, D., J. Minster, and C. Bentley. 1999. Ocean tidal loading corrections. GLAS algorithm theoretical basis document. Version 1.0. Greenbelt, MD: Goddard Space Flight Center. Zwally, H.J., B. Schutz, W. Abdalati, J. Abshire, C. Bentley, A. Brenner, J. Bufton, J. Dezio, D. Hancock, D. Harding, T. Herring, B. Minster, K. Quinn, S. Palm, J. Spinhirne, and R. Thomas. 2002. ICESAT's laser measurements of polar ice, atmosphere, ocean, and land. Journal of Geodynamics 34: 405-445. Zwally, H.J., B. Schutz, D. Hancock, and A. Brenner. 2000. ICESat/GLAS Standard Data Products in HDF and SCF Formats. Version 1.2. Greenbelt, MD: Goddard Space Flight Center. Zwally, H.J., R.A. Bindschadler, A.C. Brenner, T.V. Martin, and R.H. Thomas. 1983. Surface elevation contours of Greenland and Antarctic ice sheets. Journal of Geophysical Research 88(C3):1589-1596.

Extended Metadata Properties

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Creation and Review Dates

DIF Creation Date: 2002-10-28

Last DIF Revision Date: 2011-02-11

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