NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
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Investigation:

TG-05 (Potter / Carvalho / Oliveira)

LBA Dataset ID:

TG05_CASA

Originator(s):

POTTER, C.S.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

NASA Ames Research Center Amazon Ecology (AME) Mapping data sets are comprised of maps for the country of Brazil, gridded at 8-km spatial resolution.

Beginning Date:

1982-01-01

Ending Date:

2001-12-31

Metadata Last Updated on:

2013-11-27

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO TG-05 NPP, Carbon Pool, Soil Characteristics, Soil Gas Flux Maps of Brazil:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1199

Documentation/Other Supporting Documents:

LBA-ECO TG-05 NPP, Carbon Pool, Soil Characteristics, Soil Gas Flux Maps of Brazil:  http://daac.ornl.gov/LBA/guides/TG05_CASA.html

Citation Information - Other Details:

Potter, C. 2013. LBA-ECO TG-05 NPP, Carbon Pool, Soil Characteristics, Soil Gas Flux Maps of Brazil. Data set. Available on-line (http://daac.ornl.gov) from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1199

Keywords - Theme:

Parameter Topic Term Source Sensor
ALKALINITY BIOSPHERE ECOLOGICAL DYNAMICS SOIL SURVEY MODEL ANALYSIS
BIOMASS BIOSPHERE ECOLOGICAL DYNAMICS COMPUTER MODEL MODEL ANALYSIS
CARBON BIOSPHERE ECOLOGICAL DYNAMICS COMPUTER MODEL MODEL ANALYSIS
CARBON MONOXIDE BIOSPHERE SOILS COMPUTER MODEL MODEL ANALYSIS
EMISSIONS BIOSPHERE ECOLOGICAL DYNAMICS COMPUTER MODEL MODEL ANALYSIS
PRIMARY PRODUCTION BIOSPHERE ECOLOGICAL DYNAMICS COMPUTER MODEL MODEL ANALYSIS
SOIL CHEMISTRY BIOSPHERE ECOLOGICAL DYNAMICS SOIL SURVEY MODEL ANALYSIS
SOIL MOISTURE BIOSPHERE ECOLOGICAL DYNAMICS SOIL SURVEY MODEL ANALYSIS
SOIL POROSITY BIOSPHERE ECOLOGICAL DYNAMICS SOIL SURVEY MODEL ANALYSIS
SOIL TEXTURE BIOSPHERE ECOLOGICAL DYNAMICS SOIL SURVEY MODEL ANALYSIS

Uncontrolled Theme Keyword(s):  AMAZON, BRAZIL, CARBON SINKS, CARBON SOURCES, DIGITAL MAPS, MODELING, NASA AMES RESEARCH CENTER, NET PRIMARY PRODUCTION (NPP)

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  BRAZIL 6.02000 -34.00000 -34.03500 -80.00000

Related Publication(s):

Nepstad, D.C., A. Verissimo, A. Alencar, C. Nobre, E. Lima, P. Lefebvre, P. Schlesinger, C. Potter, P. Moutinho, E. Mendoza, M. Cochrane, and V. Brooks. 1999. Large-scale impoverishment of Amazonian forests by logging and fire. Nature 398(6727):505-508.

Potter, C. S., E. A. Davidson, S. A. Klooster, D. C. Nepstad, G. H. de Negreiros, and V. Brooks. 1998. Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Global Change Biology. 4(3):315-334.

Potter, C. S., E. A. Davidson, S. A. Klooster, D. C. Nepstad, G. H. de Negreiros, and V. Brooks. 1998. Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Global Change Biology. 4(3):315-334.

Potter, C. S., S. Klooster, C. R. de Carvalho, V. Brooks-Genovese, A. Torregrosa, J. Dungan, M. Bobo, and J. Coughlan. 2001. Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region. J. Geophys. Res. 106: 10,423-10,446.

Potter, C. S., V. Brooks-Genovese, S. A. Klooster, M. Bobo, and A. Torregrosa 2001. Biomass burning losses of carbon estimated from ecosystem modeling and satellite data analysis for the Brazilian Amazon region. Atmospheric Environment. 35(10): 1773-1781.

Potter, C., E.A. Davidson, D. Nepstad, and C.R. de Carvalho. 2001. Ecosystem modeling and dynamic effects of deforestation on trace gas fluxes in Amazon tropical forests. Forest Ecology and Management 152:97-117.

Potter, C., S. Klooster, C.R. de Carvalho, V.B. Genovese, A. Torregrosa, J. Dungan, M. Bobo, and J. Coughlan. 2001. Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region. Journal of Geophysical Research-Atmospheres 106(D10):10423-10446.

Potter, C., S. Klooster, M. Steinbach, P.N. Tan, V. Kumar, S. Shekhar, and C.R. de Carvalho. 2003. Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes. Global Change Biology 10(5):693-703.

Potter, C., S. Klooster, M. Steinbach, P.N. Tan, V. Kumar, S. Shekhar, and C.R. de Carvalho. 2004. Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes. Global Change Biology 10(5):693-703.

Potter, C., V.B. Genovese, S. Klooster, M. Bobo, and A. Torregrosa. 2001. Biomass burning losses of carbon estimated from ecosystem modeling and satellite data analysis for the Brazilian Amazon region. Atmospheric Environment 35(10):1773-1781.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

This data set is comprised of 21 maps for the country of Brazil, gridded at 8-km spatial resolution. Files are available only in binary format; users must be able to read this format in order to access data values




Each file from Datasets A, B, and C contains one binary map layer comprised of 552 rows x 634 cols with no header lines.




Each file from Dataset D contains one binary map layer comprised of 360 rows x 720 cols with no header lines.



Version date 11.18.04



Format

-------

Each file from Datasets A, B, and C contains one binary map layer comprised of 552 rows x 634 cols with no header lines.



File size of 0.35 MB indicates 1 byte per cell

File size of 0.70 MB indicates 2 bytes per cell

File size of 1.05 MB indicates 3 bytes per cell

File size of 1.4 MB indicates 4 bytes per cell



Map boundaries in decimal degrees of latitude/longitude:

Xmin = 80.000 W, Xmax = 34.035 W, Ymin = 34.000 S, Ymax = 6.020 N



Missing data values are labeled as zeros.



Dataset A. Files

Filename Variable Units

--------- -------- -----

am_gztex1 soil texture class for 0 to 0.2 m depth see Notes

am_gztex2 soil texture class for 0.2 to 1.0 m depth see Notes

am_gztex3 soil texture class for 1.0 to 11.0 m depth see Notes

paw100_1 soil paw for 0 to 0.2 m depth 100*mm

paw100_2 soil paw for 0.2 to 1.0 m depth 100*mm

paw100_3 soil paw for 1.0 to 11.0 m depth 100*mm

pcarbon1 soil carbon per cm for 0 to 0.2 m depth 100*kg C m^-2

pcarbon2 soil carbon per cm for 0.2 to 1.0 m depth 100*kg C m^-2

ph_soil1 soil pH for 0 to 0.2 m depth depth pH units*100

npp.ann NPP for year g C m^-2 y^-1



Dataset B. Files

Filename Variable Units

--------- -------- -----

NEP_AN Net ecosystem production (NEP) 100*g C m^-2 y^-1





Dataset C. Files

Filename Variable Units

--------- -------- -----

LEAF_BMASS_11.90.v11.0217 aboveground leaf biomass for 1990 g C m^-2

WOOD_BMASS_11.90.v11.0217 aboveground wood biomass for 1990 g C m^-2



Each file from Dataset D contains one binary map layer comprised of 360 rows x 720 cols with no header lines.



File size of 259200 bytes indicates 1 byte per cell

File size of 518400 bytes indicates 2 bytes per cell

File size of 1036800 bytes indicates 4 bytes per cell



Map boundaries in decimal degrees of latitude/longitude:

Xmin = 180.00 W, Xmax = 180.00 E, Ymin = 90.00 S, Ymax = 90.00 N



Missing data values are labeled as zeros.



Dataset D. Files

Filename Variable Units

--------- -------- -----

NPPa_AN Net primary productivity (NPP) g C m^-2 y^-1

Data Application and Derivation:

Not available.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

We consider the soil texture and carbon maps to be most accurate westward of 42 degrees W and northward of 20 degrees S.

Process Description:

Data Acquisition Materials and Methods:

Notes on Dataset A

------------------

Soil texture class was determined from percent clay content (for definitions, see Table 1 in Potter et al., 1998). Classes are 1 = organic, 2 = coarse, 3 = coarse/medium, 4 = medium, 5= medium/fine, 6 = fine, 7 = lithosol.



Soil paw is maximum plant available water. On a \'per unit depth\' basis, paw = FC(-10 kPa) - WP(-1500 kPa); where FC (field capacity) and WP (wilting point) are computed from the equations generated for Amazon soils by Tomasella and Hodnett (1998). By computing the third layer for a nominal 10 meters depth, one can truncate or expand paw100_3 to whatever total rooting depth required.



Interpolation method for soils maps. AME soil maps were created using 1000+ RADAM pit profiles (http://www.whrc.org/tropfor/humanimpacts/WHRClba.htm) and the Brazilian soil class map (brsoil; ftp://grid2.cr.usgs.gov under pub/data/datafiles). Using the soil attribute value from each pit profile, we created country-wide maps at a 8 km x 8 km cell size, using a modified nearest-neighbor spatial fill routine. The soil type of each pit estimate was compared to nearby polygons of the original brsoil coverage. The nearest matching (with respect to soil type) pit estimate was then used as the \'fill value\' for the cells within the brsoil polygon. The brsoil map used in these interpolations is the most generalized classification level of Brazilian soil types (19 classes).



Notes on Dataset B

------------------

NEP is net ecosystem production. Suffixes for the NEP files are Year Number (01-09) and Year (82-90), followed by model version number.



Notes on Dataset C

------------------

Suffixes for the biomass files are Year Number (01-09) and Year (82-90), followed by model version number.

References:

Potter, C. S., E. A. Davidson, S. A. Klooster, D. C. Nepstad, G. H. de

Negreiros, and V. Brooks. 1998. Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Global Change Biology. 4(3):315-334.



Potter, C. S., S. Klooster, C. R. de Carvalho, V. Brooks-Genovese, A. Torregrosa, J. Dungan, M. Bobo, and J. Coughlan. 2001. Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region. J. Geophys. Res. 106: 10,423-10,446.



Potter, C. S., V. Brooks-Genovese, S. A. Klooster, M. Bobo, and A. Torregrosa 2001. Biomass burning losses of carbon estimated from ecosystem modeling and satellite data analysis for the Brazilian Amazon region. Atmospheric Environment. 35(10): 1773-1781.



Potter, C., S. Klooster, M. Steinbach, P. Tan, V. Kumar, S. Shekhar, and C.

Carvalho, 2004, Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes, Global Change Biology, 10, 693-703.



Tomasella, J. and M. G. Hodnett. 1998. Estimating soil water retention characteristics from limited data in Brazilian Amazonia. Soil Science. 163:190-202

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