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Investigation:

LC-09 (Moran / Batistella)

LBA Dataset ID:

LBA_LC09_VEG

Originator(s):

1. BRONDIZIO, E.S.
2. BATISTELLA, M.
      3. MORAN, E.F.

Point(s) of Contact:

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

Dataset Abstract:

This data set contains two files with vegetation data for five Amazonian sites: Altamira, Bragantina, Tome-Acu, and Ponta de Pedras, all in the state of Para; and Yapu, Colombia. One file describes vegetation composition and structure (basal area, biomass, species composition) and land use histories for all five study sites; the second file describes more specific information about individual plant characteristics (family/species names, DBH, stem and total plant height) within each plot.

Beginning Date:

1992-01-01

Ending Date:

1995-12-31

Metadata Last Updated on:

2009-08-27

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 LC-09 Vegetation Composition and Structure in the Brazilian Amazon: 1992-1995:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=939

Documentation/Other Supporting Documents:

LBA-ECO LC-09 Vegetation Composition and Structure in the Brazilian Amazon: 1992-1995:  http://daac.ornl.gov/LBA/guides/LC09_Vegetation_Composition.html

Citation Information - Other Details:

Brondizio, E.S., M. Batistella, and E.F. Moran. 2009. LBA-ECO LC-09 Vegetation Composition and Structure in the Brazilian Amazon: 1992-1995. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/939

Keywords - Theme:

Parameter Topic Term Source Sensor
DBH AGRICULTURE FOREST SCIENCE FIELD SURVEY STEEL MEASURING TAPE
LAND COVER LAND SURFACE LAND USE/LAND COVER FIELD SURVEY HUMAN OBSERVER
VEGETATION SPECIES AGRICULTURE VEGETATION FIELD SURVEY HUMAN OBSERVER

Uncontrolled Theme Keyword(s):  ALTAMIRA, BRAGANTINA, LAND COVER, LAND USE, PONTA DE PEDRAS, SECONDARY SUCCESSION, SPECIES IDENTIFICATION, TOME-ACU, VEGETATION COMPOSITION, VEGETATION STRUCTURE, YAPU

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Pará Eastern (Belém) Bragantina -1.00000 -1.40000 -53.52000 -53.80000

Related Publication(s):

Lu, D., P. Mausel, E. Brondizio, and E. Moran. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing 23(13):2651-2671.

Lu, D.P., P. Mausel, E.S. Brondizio, and E.F. Moran. 2002. Above-ground Biomass Estimation of Successional and Mature Forests Using TM Images in the Amazon Basin. In: Advances in spatial data handling: 10Th International Symposium on spatial data handling. Richardson,D.E. & Oosterom P. van (eds.). pp. 183-196.

Lu, D.S., P. Mausel, E. Brondizio, and E. Moran. 2003. Classification of successional forest stages in the Brazilian Amazon basin. Forest Ecology and Management 181(3):301-312.

Lu, D.S., P. Mausel, E. Brondizio, and E. Moran. 2004. Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. Forest Ecology and Management 198(1-3):149-167.

Moran E.F. and E.S. Brondizio. 1998. Land use change after deforestation in Amazonia. In: People and pixels: linking remote sensing and social science. D. Liverman, E.F. Moran, R.R. Rindfuss & P.C. Stern (eds.). National Academic Press, Washington D.C. pp. 94-120.

Moran, E.F., E.S. Brondizio, J. Tucker, M.C. Silva-Forsberg, I. Falesi, and S. McCracken. 2000. Strategies for Amazonian Forest Restoration: Evidence for Afforestation in Five Regions of the Brazilian Amazon. In: Amazonia at the Crossroads: The Challenge of Sustainable Development. Hall, A. (ed.). Institute of Latin America Studies, pp. 129-149.

Moran, E.F., E.S. Brondizio, J.M. Tucker, M.C. Silva-Forsberg, S. McCracken, and I. Falesi. 2000. Effects of soil fertility and land-use on forest succession in Amazonia. Forest Ecology and Management 139(1-3):93-108.

Tucker, J., E.S. Brondizio, and E.F. Moran. 1998. Rates of forest regrowth in Eastern Amazonia: A comparison of Altamira and Bragantina Regions, Para State, Brazil. Interciencia 23(2):1-10.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

File 1: LC09_Vegetation_Composition_Structure.csv. Missing data values are represented as -9999. Data are in a comma-separated ASCII format.



Column Column heading Units/Format Variable Description

#

1 Sample_year YYYY Sampling year (1992, 1993, 1994, 1995)

2 Latitude UTM X coordinates of center of site or site border - UTM,

Brazil sites are generally Zone 22S, WGS84, Yapu site is Zone 19S

3 Longitude UTM Y coordinates of center of site or site border - UTM,

Brazil sites are generally Zone 22S, WGS84, Yapu site is Zone 19S

4 Location Sampling location name (Altamira, Bragantina, Ponta de Pedras, Tome-Acu, Yapu)

(sites of Acai (Euterpe oleracea) agroforestry are not included for the

Ponta de Pedras region; agroforestry sites not included for Tome-Acu)

5 Sample_ID Sample ID: site code + year of inventory,

(e.g. A001-92, B001-92, P001-92, T001-02, YA008-95)

(soil sampling was also conducted at each site, 0 to 1 meter at 20 cm intervals)

6 LC_type Land cover type sampled

7 LC_age year Land cover age (years)

8 LU_type Land use type reported (years of use)

9 LULC_hist Land use/land cover history with dates where available

10 Man_mec_ag Agriculture methods (Manual, Mechanized, Mechanized/Manual)

11 Num_burn Number of burnings

12 Fert_use Fertilizer use (no, yes, no/yes)

13 Lrg_plot_area m2 Large plot area

14 Med_plot_area m2 Medium plot area

15 Sm_plot_area m2 Small plot area

16 Veg_ba_und m2/ha Vegetation basal area (understory)

17 Veg_ba_ovr m2/ha Vegetation basal area (overstory)

18 Veg_ba_tot m2/ha Vegetation basal area (total)

19 Veg_biom_und t/ha Vegetation biomass (understory)

20 Veg_biom_ovr t/ha Vegetation biomass (overstory)

21 Veg_biom_tot t/ha Vegetation biomass (total)

22 Num_ind_und n/ha Number of individual plants (understory) per hectare

23 Num_ind_ovr n/ha Number of individual plants (overstory) per hectare

24 Veg_ht_avg m Vegetation height (average)

25 Veg_ht_max m Vegetation height (maximum)

26 Num_fam_und Species composition - number of families (understory)

27 Num_fam_ovr Species composition - number of families (overstory)

28 Num_fam_tot Species composition - number of families (total)

29 Num_sp_und Species composition - number of species (understory)

30 Num_sp_ovr Species composition - number of species (overstory)

31 Num_sp_tot Species composition - number of species (total)







Example Data Records: LC09_Vegetation_Composition_Structure.csv

Sample_year,Latitude,Longitude,Location,Sample_ID,LC_type,LC_age,LU_type,LULC_hist,Man_mec_ag,Num_burn,Fert_use,Lrg_plot_area,Med_plot_area,Sm_plot_area,Veg_ba_und,Veg_ba_ovr,Veg_ba_tot,Veg_biom_und,Veg_biom_ovr,Veg_biom_tot,Num_ind_und,Num_ind_ovr,Veg_ht_avg,Veg_ht_max,Num_fam_und,Num_fam_ovr,Num_fam_tot,Num_sp_und,Num_sp_ovr,Num_sp_tot

1992,9841186,737337,Ponta de Pedras,P029-92,SS 1,1.5,Swidden agriculture,1989-20+ yr fallow; 1990-manioc; 1991-fallow,Manual,1,no,100,-9999,-9999,3.68,0,3.68,4.469,0,4.469,108900,-9999,2.5,7,30,1,30,57,-9999,57

1992,9841094,737244,Ponta de Pedras,P030-92,SS 1,3.5,Swidden agriculture,1986-forest (old growth 50+ yrs); 1987-manioc; 1988-fallow,Manual,1,no,100,-9999,-9999,8.7,0,8.7,20.926,0,20.926,108000,-9999,3.3,12,37,1,37,67,-9999,67

1993,9843430,742500,Ponta de Pedras,P011-93,SS 1,3.5,Swidden/Mechanized,1978-forest; 1979-rice and/or beans (mec); 1982-fallow; 1989-manioc; 1990-fallow,Mechanized/Manual,1,yes,100,-9999,-9999,9.1,0,9.1,17.27,0,17.27,73700,-9999,3.3,7,44,1,44,86,-9999,86

1993,9846168,741214,Ponta de Pedras,P008-93,SS 1,4,Abandoned pasture,1983-forest; 1984-pasture (mec/burn), 1986-fallow (burn); 1987-burned; 1989-burned, fallow,Mechanized,1,no,100,-9999,-9999,4.76,15.82,20.58,5.19,0,5.19,131400,-9999,3.5,8,37,1,37,71,-9999,71






File 2: LC09_VegetationSpecies_PlotData.csv




Missing data values are represented as -9999.






Column Column heading Units/Format Variable Description

#

1 Sample_year YYYY Sampling year (1992, 1993, 1994, 1995)

2 Latitude UTM X coordinates of center of site or site border - UTM,

Brazil sites are generally Zone 22S, WGS84, Yapu site is Zone 19S

3 Longitude UTM Y coordinates of center of site or site border - UTM,

Brazil sites are generally Zone 22S, WGS84, Yapu site is Zone 19S

4 Location Sampling location name (Altamira, Bragantina, Ponta de Pedras, Tome-Acu, Yapu)

(sites of Acai (Euterpe oleracea) agroforestry are not included for the

Ponta de Pedras region; agroforestry sites not included for Tome-Acu)

5 Site_num Site number

6 Plot_num Plot number

7 Subplot_num Subplot number

8 Plot_area m2 Plot area

9 SS_age Age of secondary succession (years)

10 SS_state State of secondary succession

11 Family Plant family name

12 Species Plant species name

13 Com_name Plant common name

14 Num_ind Number of individuals

15 Perc_cov % Percent of soil surface covered in vegetation

16 DBH cm Diameter at breast height in centimeters

17 Stem_ht m Stem height in meters

18 Tot_ht m Total tree height in meters

19 Broken_tree Yes, if measured plant was a broken tree; otherwise, no.

20 Obs Additional observations, if any; otherwise, no.








Example Data Records: LC09_VegetationSpecies_PlotData.csv



Sample_year,Latitude,Longitude,Location,Site_num,Plot_num,Subplot_num,Plot_area,SS_age,SS_state,Family,Species,Com_name,Num_ind,Perc_cov,DBH,Stem_ht,Tot_ht,Broken_tree,Obs

1992,9637017,344603,Altamira,1,1,0,2250,16,3,Cecropiaceae,Cecropia (folha fina),-9999,1,-9999,27.12,10,18,-9999,-9999

1992,9637017,344603,Altamira,1,1,0,2250,16,3,Cecropiaceae,Cecropia (folha fina),-9999,1,-9999,32.7,10,18,-9999,-9999

1992,9637017,344603,Altamira,1,1,0,2250,16,3,Lauraceae,Nectandra guianensis,-9999,1,-9999,12.5,4,6,-9999,-9999

1992,9637017,344603,Altamira,1,1,0,2250,16,3,Mimosaceae,Inga macrophylla,-9999,1,-9999,10,5.5,8.5,-9999,-9999

Data Application and Derivation:

In conjunction with other studies these data provide the basis to link patterns of regrowth and secondary succession to site characteristics such as soil classification and land use history as well as to remote sensing.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Species identification was determined by experienced botanists in the field and compared to samples at the herbarium of EMBRAPA in Belem, Para. Botanical samples were collected from half of all species identified for later verification to ensure accuracy of taxonomic identification.

Process Description:

Data Acquisition Materials and Methods:

The sampling strategy used was comparable across sites and regions. The same plot and subplot sizes were used at each site and region, allowing cross-comparison and integration at the level of plot, site, and region. See the companion file, LC09_Vegetation_Sampling_Scheme.pdf for more information. Plots (10 x 15m) and subplots (5 x 2m) were randomly distributed, but nested inside each other to account for the detailed inventory of trees (DBH>10cm), saplings (DBH 2-10cm), seedlings (DBH<2 cm), and herbaceous vegetation. In the plots, all the individual trees were identified, and measured for DBH, stem height (height of the first major branch), and total height. In the subplots, all individual saplings were identified and measured for diameter and total height, while all seedlings and herbaceous vegetation were identified and counted.




Above-ground dry biomass was derived from inventory data using allometric equations from the literature. Two different biomass equations were used to differentiate between trees and saplings. Brown et al.(1989) equation was used to estimate tree biomass (DBH>10cm). Another equation from Uhl et al. (1988) was used to estimate sapling biomass (DBH 2-10cm). Brown et al. (1989) equation, selected due to its focus on estimating mature forest biomass, was developed based on a large number of forest inventories from different areas of the tropics, focusing on adult trees and mature stands. Uhl et al. (1988) equation was developed from data collected from different stages of secondary succession sites in eastern Amazonia, derived mainly from sapling data. Uhl\'s generic species equation was selected due to its applicability to a wide range of species. One representative site of each vegetation type was selected for drawing a vegetation profile. Profile drawings were carried out in transects of 50-100 m. All individuals with DBH>2cm were identified, measured, and represented in the profile. Attention was paid to individual architecture, such as shape of trunk, branch distribution, canopy shape and intersection between different canopies. This vegetation profile was an important source of information about vegetation structure and stratification.

References:

Brown, S., Gillespie, A.J.R., Lugo, A., 1989. Biomass estimation methods for tropical forests with applications to forest inventory data. For. Sci. 35 (4), 881-902.



Uhl, C., Buschbacher, R., Serrao, A.S., 1988. Abandoned pastures in eastern Amazonia. I. Patterns of plant succession. J. Ecol. 76, 663-681. 663-681.doi:10.2307/2260566

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