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LBA-ECO ND-11 Regeneration in Undisturbed and Logged Forests, NW Mato Grosso, Brazil
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Summary:

Revision date: February 17, 2010

Summary:

This data set reports the results of field surveys to determine: regeneration diversity and size distribution of plants in primary undisturbed forest; and  regeneration diversity and size distribution of trees in a one hundred hectare block, six years after reduced impact logging treatment (vine removal) was applied in 1998.  In addition, wood density and carbon concentrations in commercially harvested species are reported.  All surveys were performed in 2003 and 2004 within block 5 of the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso, Brazil. The data are reported in three comma separated files.

plots

Figure 1. LANDSAT TM image (acquired July 1996) showing the location of the logging concession at Fazenda Rosahmar adjacent to the Rio Juruena in the county of Juruena in southern Amazonia, MT, Brazil. Boundaries are shown for Blocks 4, 5, and 18. Pink areas inside the concession indicate low-stature vegetation. Pink areas outside the concession are deforested and are most frequently pastures. Aqua blue areas indicate low-lying areas or water. Green areas are native forest vegetation. From Feldpausch et al., 2006.

Data Citation:

Cite this data set as follows:

Feldpausch T.R., C.A.M. Passos, E. Gandini, S. Jirka, A.J. McDonald, J. Lehmann, S.J. Riha. 2010. LBA-ECO ND-11 Regeneration in Undisturbed and Logged Forests, NW Mato Grosso, Brazil. 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/965

Implementation of the LBA Data and Publication Policy by Data Users:

The LBA Data and Publication Policy [http://daac.ornl.gov/LBA/lba_data_policy.html] is in effect for a period of five (5) years from the date of archiving and should be followed by data users who have obtained LBA data sets from the ORNL DAAC. Users who download LBA data in the five years after data have been archived must contact the investigators who collected the data, per provisions 6 and 7 in the Policy.

This data set was archived in March of 2010. Users who download the data between March 2010 and February 2015 must comply with the LBA Data and Publication Policy.

Data users should use the Investigator contact information in this document to communicate with the data provider. Alternatively, the LBA Web Site [http://lba.inpa.gov.br/lba/] in Brazil will have current contact information.

Data users should use the Data Set Citation and other applicable references provided in this document to acknowledge use of the data.

Table of Contents:

1. Data Set Overview:

Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon)

Activity: LBA-ECO

LBA Science Component: Land Use and Land Cover

Team ID: ND-11 (Lehmann / Passos / Couto)

The investigators were Gandini, Elenara; Passos, Carlos Alberto Moraes; Noquelli, Maria José Miranda de Souza; Fernandes, Erick C.M.; Lehmann, Johannes; Riha, Susan J.; Fuhr, Silvana Inês; Botelho, Péricles de Aquino; Feldpausch, Ted R. and Jirka, Stefan . You may contact Gandini, Elenara (gandini.nara@bol.com.br) and Feldspausch, Ted (T.R.Feldspausch@leeds.ac.uk)

LBA Data Set Inventory ID:  ND11_Regeneration_Succession

The goal of this study was to evaluate the effects of reduced impact logging treatments on forest regeneration and forest structure and carbon stocks in an open submontane Umbriferous tropical forest with palms. Three individual data sets contribute to this effort: regeneration diversity and size distribution in primary forest prior to logging, regeneration diversity and size distribution six years after logging; and wood density and carbon stocks in commercially harvested species. The natural regeneration study of primary forest was done in a 1,000 ha area within the boundaries of a 25,000 ha area prior to the logging operation. Effects of logging treatments were studied in a one hundred hectare block, six years after reduced impact logging treatment was applied in 1998. There were three silvicultural treatments considered in both the structure and the regeneration studies: reduced impact logging with a vine removal pre-treatment (RILVR), which was applied to a 25 ha area: reduced impact logging with no vine removal (RILVI) applied to an adjacent 25 ha area; and the control treatment where no logging was done (total area of 50 ha.). Wood density and carbon concentrations were measured in samples provided by logging operations at the Fazenda Roshamar. All studies were done within the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso, Brazil.


Related Data Sets: 

2. Data Characteristics:

All surveys were performed in 2003 and 2004 within logging unit 5 of the logging concession at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso, Brazil. Each data file represents a one time survey.

In September/October of 2003, species and size distribution of natural regeneration were evaluated in primary forest in a 1,000 ha block of forest within an area of 25,000 ha which was scheduled to be logged. These survey results are reported in file:  ND11_Regeneration_Inventory_Unlogged_Forest_MT_2003.csv

In January 2004, the effect of reduced impact logging treatments on the size and species distribution of regeneration six years after logging (1998) was measured in a 100 ha plot (see sampling map below). Half of the study area was managed using two reduced impact logging (RIL) treatments (either vines were cut before logging (RILVR) or no cutting of the vines (RILVI)) and the remaining 50 hectares was unlogged and used as a control. All naturally regenerating trees and palms were classified into 3 size classes based on height and diameter (DBH): (1) height < 1.0 m, (2) height between 1.0 and 3.0 m, and (3) height > 3.0 m and DBH < 10 cm. These survey results are reported in file:  ND11_Regeneration_Inventory_Post-Logging_MT_2004.csv

Carbon content and wood density was determined for the commercially valuable tree species characteristic of this forest. Samples of bole wood were collected from the base and upper end of the bole during a logging operation at the Fazenda Rohsamar. These results are reported in file: ND11_Wood_and_Carbon_Density_MT.csv

Three comma-delimited ASCII files are provided.Variables for each file are provided below:

Data File:  ND11_Regeneration_Inventory_Unlogged_Forest_MT_2003.csv

Column Column Heading Units Description
1 Plant_number   Plant number within Sample number
2 Common_name   Transect number
3 Family    
4 Date YYYY/MM/DD  
5 Sample_number   Sample number along transect. Each sample represents an area X m2
6 Logging_unit   Logging unit ID, Unit 5
7 Block   Logging block within the logging unit
8 Transect   Transect number
9 Size_class   (1) height <1.0 m (2)height 1.0 to 3.0 m (3) height >3.0 m and DBH <10 cm
10 Herbaceous   Number of herbaceous plants encountered
11 Tree   Number of trees encountered
12 Epiphytes   Number of epiphytes encountered
13 Palms   Number of palms encountered
14 Total   Total numer of plants counted
15 Illumination   1= full sun, 2= partial light, 3=shady
16 Side   Side of the transect line +1 is the right of the transect line, -1 to the left

Example data record:

Header records omitted

Number,Common name,Family,Date,Sample number,Unit,Block,Transect,Size class,Herbaceous ,Tree,Epiphytes,Palms,Total,Illumination,Side,
1,Amescla-aroeira,Burseraceae,2003/09/23,1,5,8,1,1,0,18,0,0,18,2,1,
2,Cega-corrente,Moraceae,2003/09/23,1,5,8,1,1,0,1,0,0,1,2,1,
3,not identified 1,Not provided,2003/09/23,1,5,8,1,1,1,0,0,0,1,2,1,
...
11,Angelim-amargo,Fabaceae,2003/10/02,61,5,1,22,1,0,0,0,0,1,2,1,
12,Cega-corrente,Moraceae,2003/10/02,61,5,1,22,1,0,2,0,0,2,2,1,
13,Abiurana-folha pequena,Sapotaceae,2003/10/02,61,5,1,22,3,0,2,0,0,2,2,1,

Data File:  ND11_Regeneration_Inventory_Post-Logging_MT_2004.csv 

Column Column Heading Units Description
1 ID_number   Each tree measured within a study sub-plot was given a unique id number
2 Month_year MM-YY  Month and year of measurements
3 Common_name    
4 Scientific_name    
5 Family    
6 Life_form   Tree or palm
7 Transect   Transect id (x coordinate on the study area figure)
8 Sub_plot   Sub-plot id (y coordinate on the study area figure)
9 Treatment   RILVI= reduced impact logging in 1998 with vines left intact; RILVR= reduced impact logging in 1998 with vines cut prior to logging; CONT.= no logging
10 DBH centimeters Diameter at breast height (DBH) measured at 1.3 m height
11 Commercial_Ht meters Commercial height
12 Tree_Ht meters Total height
13 Canopy_position meters A= emergent, B= canopy, C= sub-canopy, D= mid-canopy, E=understory
14 Trunk_quality   A= emergent, B= average, C= poor, D= no commercial value
15 Observations   Field notes

Example data record:

Header records omitted

ID_number,Month_year,Common_name,Scientific_name,Family,Life_form,Transect,Sub_plot,Treatment,DBH, Commercial_Ht,Tree_Ht,Canopy_position,Trunk_quality,Observations
1,Jan-04,Amescla-aroeira,Protium heptaphyllum,Burseraceae,tree,E,35,RILVI,47,8,18,C,A,None
2,Jan-04,Imbauba-branca,Cecropia sp,Cecropiaceae,tree,E,35,RILVI,37.5,9,12,C,A,None
3,Jan-04,Cega-corrente,Not provided,Moraceae,tree,E,35,RILVI,99,10,22,B,A,None
...
16,Jan-04,Amescla-aroeira,Protium heptaphyllum,Burseraceae,tree,W,15,CONT.,60,8,12,D,A,None
17,Jan-04,Amescla,Trattinickia sp.,Burseraceae,tree,W,15,CONT.,39,6,12,D,A,None
2,Jan-04,Cega-corrente,Not provided,Moraceae,tree,W,14,CONT.,128,10,26,A,B,None

Data File:  ND11_Wood_and_Carbon_Density_MT.csv


Column Number Column Heading Units Description
1 Number Sample number
2 Common_name Common species name
3 Repetition   Replicate number
4 Location   Location of bole sample: B=base, P=upper end of commercial bole near first branch; Cross-sectional location: center, mid-radius, and bark
5 Wet_weight g Sample wet weight
6 Dry_weight g Sample dry weight
7 Width mm Sample width
8 Height mm Sample height
9 Length mm Sample length
10 Humidity % Caclulated as the difference between wet weight and dry weight divided by total weight*100
11 Dry_mass % Caclulated as the sample dry weight divided by sample wet weight*100
12 Volume cm3 Sample volume calculated as sample width* sample height*sample length/1000
13 Density g/cm3 Sample density calculated as dry weight/sample volume
14 Sample_weight mg Sample used for carbon analysis, dry weight
15 Carbon_mass mg Mass of carbon in analytical sample calculated as carbon concentration*sample weight/1000
16 Carbon_concentration g/kg Carbon concentration, dry weight. Determined by combustion at the Wood Technology Laboratory at the Forest Engineering School (Faculdade de Engenharia de Engenharia Florestal) of the Universdade Federal do Estado de Mato Grosso


Example data record:

Header records omitted

Number,Common_name,Repetition,Location,Wet_weight,Dry_weight,Width,Height,Length,Humidity,Dry_mass,Volume, Density,Sample_weight,Carbon_mass,Carbon_concentration
1,Angelim pedra,1,B- center,23.212,20.89,30.14,19.02,50,10,90,28.66,0.73,20.2,10.1,499.98
2,Angelim pedra,1,B- mid-radius,24.222,21.789,30,19.9,50.16,10.04,89.56,29.95,0.73,18.4,8.99,488.81
3,Angelim pedra,2,B- mid-radius,23.004,20.751,28.8,20.27,50.3,9.8,90.2,29.36,0.71,19,9.25,487.06
...
30,Angelim pedra,1,P-mid-radius,19.715,17.722,29.26,19,50.44,10.1,89.9,28.04,0.63,19.3,9.68,501.4
31,Angelim amargo,1,B- mid-radius,21.42,19.347,28.89,19.9,50.32,9.67,90.33,28.93,0.67,18.4,9.16,497.64
32,Angelim amargo,2***,B- mid-radius,21.625,19.347,29.15,19.61,50.32,8.19,91.81,28.76,0.67,19.5,9.48,486.25

Site boundaries: (All latitude and longitude given in decimal degrees)

Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Mato Grosso - Juruena (Mato Grosso) -58.75969 -58.75969 -10.42492 -10.42492 World Geodetic System, 1984 (WGS-84)

Time period:

Platform/Sensor/Parameters measured include:

3. Data Application and Derivation:

These data can be applied to model forest recovery and the effects of reduced impact logging, including species recover and carbon sequestration in undisturbed and logged forests.

4. Quality Assessment:

Care should be taken in using tree taxonomic data since local names were converted to Latin names for species identification.

5. Data Acquisition Materials and Methods:

Regeneration was evaluated in 2003 in a primary forest in a 1,000 ha block of forest in an area of 25,000 ha which was going to be logged. Regenerating stems were classified into 3 size classes (1) height <1.0m; (2) height 1.0 to 3.0 m; (3) height >3.0 m and diameter at breast height (DBH) <10 cm. The area surveyed around a given tree (plot size) varied with tree size class: for the smallest size class plots were 2 x 2 m, for the intermediate size class plots were 5 x 5 m and for the largest size class plots were 5 x 10 m. Diameter and species identification for each stem was recorded. Relative natural regeneration index was determined by the sum of the relative frequency, relative density and relative size class. A total of 123 species were measured including 111 tree species and 12 palm species with 38 species not identified though 5 of those were identified to family.

In January 2004, the effects of silvicultural treatments on the forest structure were measured by surveying plots in a 100 ha area of which half (50 ha) had been logged using a reduced impact management regime 6 years earlier (1998). Within the treatment area (logged) there were two different management schemes each applied to half the treatment area: vines were cut before logging (RILVR), and no cutting of the vines (RILVI), the unlogged half of the area was considered a control treatment. Trees and palms that had regenerated since the logging treatment were categorized into 3 classes: height < 1.0m;  1.0 > height < 3.0 m;  height > 3.0 m and diameter at breast height (DBH) < 10 cm. The area surveyed around a given tree (plot size) varied with tree size class: for the smallest size class plots were 2 x 2 m, for the intermediate size class plots were 5 x 5 m and for the largest size class plots were 5 x 10 m. Diameter and species identification for each stem was recorded .

Carbon content and wood density was determined for commercially valuable tree species characteristic of this forest. Cross-sectional discs were cut from tree trunks which were located in the landing of the logging operation wood samples at the Fazenda Roshamar, in the municipality of Juruena. From each species analyzed samples were taken from two different positions on the stem: base and top of commercial bole and three tangential positions within the disc; center, mid-radius and bark. Mass, carbon content (g kg-1) and density based on dry weight were determined for each sample at the Wood Technology Laboratory at the Forest Engineering School (Faculdade de Engenharia Florestal) of the Univerisdade Federal do Estado de Mato Grosso.

transect

Schematic diagram of study area showing the treatment area (logged), where different management schemes were applied to half of the treatment area: vines were cut before logging (RILVR), and no cutting of the vines (RILVI), the unlogged half of the area was considered a control treatment. The table below shows selected plot location coordinates (lower left corner) within the transects. UTM Zone 21S.

X-axis
Transect number
Y-axis
Subplot number
UTM
X-axis
UTM
Y-axis
A 1 334873 8833514
A 2 334883 8833548
A 3 334869 8833570
A 4 334865 8833602
B 1 334919 8833530
B 4 334908 8833606
C 1 334968 8833506
C 2 334939 8833550
C 4 334951 8833602

6. Data Access:

This data is available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) or the EOS Data Gateway.

Data Archive Center:

Contact for Data Center Access Information:

E-mail: uso@daac.ornl.gov

 Telephone: +1 (865) 241-3952


7. References:

Feldpausch, T.R., A.J. McDonald, C.A.M. Passos, J. Lehmann, and S.J. Riha. 2006. Biomass, harvestable area, and forest structure estimated from commercial timber inventories and remotely sensed imagery in southern Amazonia. Forest Ecology and Management 233(1):121-132.doi:10.1016/j.foreco.2006.06.016


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