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Introduction - Ministério do Meio Ambiente

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<strong>Introduction</strong><br />

The vegetation is one of the most important biota components,<br />

since its conservation and connectivity status defines the existence of<br />

habitats for species, the maintenance of ecosystem services, or even<br />

the provision of goods that are essential for the survival of human<br />

communities. Sound knowledge on the current status of the vegetation<br />

cover in Brazil is therefore fundamental to establish environmental<br />

public policies in the country, such as the identification of conservation<br />

opportunities, the sustainable use of Brazilian biodiversity, and benefitsharing.<br />

However, the only large-scale vegetation mapping initiative covering<br />

the entire Brazilian territory (1:250,000 working scale; 1:1,000,000<br />

publication scale) was conducted between 1970 and 1985 by<br />

RadamBrasil Project, based on radar images and extensive field work.<br />

Considering individual Brazilian biomes, only the Amazon and parts of<br />

the Atlantic Forest are subject to permanent programs for monitoring<br />

changes in vegetation cover, starting at the end of the 1980’s and<br />

based on the interpretation of Landsat satellite images.<br />

Due to changes in the occupation pattern of the Brazilian territory,<br />

primarily motivated by the strong inland focus of the last three decades,<br />

the RadamBrasil vegetation maps no longer reflected reality. To fill this<br />

knowledge gap, and to broaden existing knowledge on the Brazilian<br />

biomes already subject to vegetation monitoring, the Ministry of the<br />

Environment (MMA), through the Conservation and Sustainable Use<br />

of the Brazilian Biological Diversity Project (PROBIO), launched two<br />

public bids in 2004 for the selection of subprojects to map the country’s<br />

vegetation cover according to the biome limits defined by the Brazilian<br />

Biomes Map (IBGE, 2004).<br />

The six selected subprojects – one for each of the Brazilian continental<br />

biomes – had the objectives of mapping vegetation cover, diagnosing<br />

mapping initiatives, and filling existing knowledge gaps on this subject.<br />

Vegetation was mapped based on Landsat images generated primarily<br />

during 2002, provided to subprojects by MMA.<br />

The mapping metho<strong>do</strong>logy was defined by the executing institutions,<br />

and varied according to the particularities of each biome. The technical<br />

mapping and label standards for all subprojects were defined with the<br />

fundamental technical support provided by the Brazilian Institute of<br />

Geography and Statistics (IBGE). Some of these standards are: 1)<br />

minimum mapping unit (UMM) of 40 to 100 ha, considering a 1:250,000<br />

final scale; 2) verifiable digital data compatible, at least, with the<br />

1:100,000 scale; 3) classification accuracy (thematic accuracy) with<br />

a minimum threshold of 85% correct; 4) output shape-files with


topologic consistency (no overlapping polygons, no space between<br />

polygons, no zero-area polygons, no loops in arches, no polygon without<br />

classification, etc.); 5) classification of vegetation types according to<br />

the IBGE technical manual on vegetation.<br />

It is important to note that, according to MMA determination, areas<br />

with pre<strong>do</strong>minant native vegetation, even if presenting a certain<br />

degree of human use, were accounted for and mapped as a native<br />

vegetation type. On the other hand, areas converted to planted<br />

pastures, agricultural crops, forest plantation, mining activities, urban<br />

occupation, and other similar uses in which the native vegetation<br />

is no longer <strong>do</strong>minant, were accounted for and classified as human<br />

use areas. Another important basic criterion defined by MMA is that<br />

secondary vegetation in advanced development stage was accounted<br />

for and mapped as native vegetation.<br />

The following outputs were produced by the mapping subprojects:<br />

• Final Maps with the cutout of IBGE 1:250,000 charts of the<br />

Brazilian territory. Format: paper (A0 size); electronic (SHP and PDF<br />

files).<br />

• Database with thematic bases in shape-files corresponding to<br />

the IBGE/DSG charts at the 1:250,000 scale. Format: electronic (SHP<br />

file).<br />

• Image charts of the chosen biome with the cutout of IBGE<br />

1:250,000 charts. Format: electronic (GEOTIFF and PDF files).<br />

• Summary map. Format: paper (A0 size); electronic (SHP file).<br />

• Technical Report, according to specific standard.<br />

The Ministry of the Environment has the pleasure of making available<br />

to the interested public the results of the subprojects on the vegetation<br />

mapping of the Brazilian biomes. These results may be consulted and<br />

<strong>do</strong>wnloaded through the Brazilian Biodiversity Portal – PortalBio/MMA,<br />

at the following address: www.mma.gov.br/portalbio.


Amazon Biome<br />

Executing institution: Spatial Sciences,<br />

Applications and Technology Foundation –<br />

FUNCATE.<br />

The Amazon is the largest Brazilian biome,<br />

encompassing an area of 4,196,943 km 2 in Brazil<br />

(IBGE, 2004). This inventory of the native vegetation<br />

types and human occupation of the biome was<br />

conducted through the interpretation of 198 Landsat<br />

images (58% from 2002) in a geo-referenced database, using Spring<br />

software. An image interpretation key was developed, where land<br />

use and vegetation types were associated to the images’ photointerpretation<br />

characteristics. Additionally, a videography was made in<br />

2005, obtaining thousands of lateral images and photographs. These<br />

latter were incorporated to the database and used to resolve difficulties<br />

in image interpretation.<br />

The following final outputs were generated: 1) printed and electronic<br />

index map, which includes the major existing mapping efforts for the<br />

biome; 2) consolidated database containing the obtained thematic and<br />

cartographic data; 3) 261 image charts at 1:250,000 cutout and one<br />

image chart of the final mosaic at the 1:5,000,000 scale (Figure 1),<br />

all in electronic format; 4) 261 vegetation charts at the 1:250,000<br />

scale, and one chart of the final vegetation mosaic (Figure 2) at the<br />

1:5,000,000 scale, all in printed and electronic format; 5) final report.<br />

Precision of this mapping effort was calculated by comparing it to the<br />

mapping conducted by the Amazon Vigilance System (SIVAM – Brazil),<br />

obtaining a precision index of 92.65%.<br />

The pre<strong>do</strong>minant vegetation in the Amazon is the Broadleaf Evergreen<br />

Forest, which occupies 41.67% of the biome. Approximately 12.47%<br />

of the Brazilian Amazon were altered by human activities, of which<br />

2.97% are currently recovering (secondary vegetation) and 9.50% are<br />

under agricultural or livestock activities. All land cover classes obtained<br />

under this study were grouped in the following categories: Native<br />

Forest Vegetation; Native Non-Forest Vegetation (Pioneer Formations,<br />

Ecological Refuges, Bush and Grass-Woody Campinaranas, Park and<br />

Grass-Woody Savanna, Steppe Park Savanna, and Steppe Grass-<br />

Woody Savanna), Human Use Areas, Secondary Vegetation, and Water<br />

(Table 1).


Figure 1. One of the 261 vegetation charts at the 1:250,000 scale generated<br />

for the Amazon biome.


Results were also presented by political-administrative units of the<br />

Amazonian States. The percentage of remaining unaltered forests in<br />

each Brazilian Amazonian State varies widely, from 23.82% in Maranhão<br />

State to 92.84% in Amazonas State.<br />

Table 1. Characterization of the Amazon biome by Grouped<br />

Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 3,416,391.23 80.76<br />

Native Non-Forest Vegetation 178,821.18 4.23<br />

Human Use Areas 401,855.83 9.50<br />

Secondary Vegetation 125,635.01 2.97<br />

Water 107,787.52 2.55<br />

Total 4,230,490.77 100.00<br />

Figure 2: (A) Image mosaic of the Brazilian Amazon. (B) Final mosaic<br />

generated by the Brazilian Amazon vegetation mapping effort.<br />

Results obtained by this mapping effort are compatible to those<br />

published by the National Spatial Research Institute (INPE) as part<br />

of the Amazon Deforestation Estimate Project (PRODES), which<br />

inventoried the deforested areas of broadleaf evergreen forest in the<br />

Brazilian Legal Amazon in 2002.<br />

Small differences between the results of both efforts are related<br />

to metho<strong>do</strong>logical differences. For example, PRODES has the Legal<br />

Amazon 1 as reference area, an area approximately 825,000 km 2 larger<br />

than the Amazon biome. In addition, PRODES aimed at mapping human<br />

use over forested phyto-physiognomies, while the present effort had<br />

the objective of mapping human use and vegetation cover regardless<br />

of phyto-physiognomy, thus also mapping human use present in nonforest<br />

phyto-physiognomies. Another important difference is the fact<br />

that PRODES <strong>do</strong>es not include mapping of secondary vegetation, which<br />

was included in the present effort.<br />

1 The Legal Amazon is an administrative area comprised by the following Brazilian States: Acre,<br />

Amapá, Amazonas, Pará, Rondônia, Roraima, and parts of Mato Grosso, Tocantins and Maranhão.


Pantanal Biome<br />

Executing institutions: Embrapa Agricultural and<br />

Livestock Informatics, Embrapa Beef Livestock,<br />

National Spatial Research Institute – INPE, and<br />

Pantanal Environment Institute – IMAP/SEMA -<br />

MS.<br />

Within Brazil, the Pantanal covers an estimated<br />

area of 150,355 km 2 (IBGE, 2004). A total of 16<br />

Landsat images, all generated in 2002, were used to map the biome’s<br />

vegetation. The preparation of the vegetation cover charts at a<br />

1:250,000 scale followed these metho<strong>do</strong>logical procedures: gathering<br />

of existing materials; data systematization; field work; inclusion of<br />

the maps in the geo-referenced database; and preparation of the final<br />

report. SPRING software was used to structure the geo-referenced<br />

database. Field work included eight field trips, most of which counted<br />

with a field team comprised of three botanists and two geo-technology<br />

experts. The classification and characterization of mapped phytophysiognomies<br />

were developed based on floristic, structural, and<br />

environmental composition data obtained during field work. Field work<br />

was thus fundamental to verify questionable information on the limits<br />

of vegetation classes in draft maps, allowing the necessary adjustments<br />

and corrections for consolidating the map on current vegetation cover.<br />

The following final outputs were generated: 1) printed and electronic<br />

index map at the 1:1,000,000 scale, containing the previous mapping<br />

efforts for the Pantanal biome; 2) ArcMAP database; 3) 20 image<br />

charts at the 1:250,000 cutout and one image chart of the final mosaic<br />

at the 1:1,000,000 scale (Figure 3); 4) 20 vegetation charts at the<br />

1:250,000 scale, all in printed and electronic format; 5) final report.<br />

Data obtained by this sub-project indicate that the Pantanal biome<br />

is still mostly conserved (based on 2002 data), with 86.77% of native<br />

vegetation cover, against 11.54% of human use areas (Table 2).<br />

The forest phyto-physiognomies (Seasonal Semideciduous Forest and<br />

Seasonal Deciduous Forest) represent 5.07% of the biome area, while<br />

non-forest phyto-physiognomies (Savanna [Cerra<strong>do</strong>], Steppe Savanna<br />

[Chaco], Pioneer Formations, and Ecological Transition Areas or


Vegetation Contact Areas [Ecotones and Enclaves]) represent 81.70%<br />

of the Pantanal area. The Savanna (Cerra<strong>do</strong>) is pre<strong>do</strong>minant in 52.60%<br />

of the biome, followed by Ecological Transition Areas, which occur in<br />

17.60% of the area. Concerning human use areas, it was observed<br />

that agriculture is not a significant activity in the biome (0.26%),<br />

being replaced by extensive cattle ranching on planted pastures, which<br />

represent 10.92% of the biome area and occupy 94.68% of the human<br />

use area.<br />

Table 2. Characterization of the Pantanal biome by Grouped<br />

Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 7,662.00 5.07<br />

Native Non-Forest Vegetation 123,527.00 81.70<br />

Human Use Areas 17,439.90 11.54<br />

Water 2,557.30 1.69<br />

Total 151,186.20 100.00<br />

Some differences observed between this mapping effort and the<br />

one conducted under the Conservation Plan of the Upper Paraguai<br />

River Watershed – PCBAP (Pott et al., 1997) should be noted. Some<br />

areas mapped by PCBAP as<br />

belonging to the Cerra<strong>do</strong><br />

Phyto-ecological Region were<br />

mapped here as Chaco in the<br />

Nabileque sub-region; areas<br />

mapped as Chaco (Td) by<br />

PCBAP were mapped here as<br />

ecotones between Deciduous<br />

Forest and Chaco in the<br />

Porto Murtinho sub-region;<br />

in constantly flooded areas,<br />

Pioneer Vegetation areas<br />

were mapped here where<br />

PCBAP mapped Grasslands<br />

and Woody Cerra<strong>do</strong>; and, due<br />

to flooding, pioneer species<br />

penetrated other phytoecological<br />

regions, mapped<br />

in this effort as ecotones.<br />

This mapping refinement was<br />

possible because the present<br />

project obtained a larger<br />

amount of field data.<br />

Figure 3. Image chart of the final mosaic<br />

of the Pantanal biome in 2002.


Cerra<strong>do</strong> Biome<br />

Executing institutions: Embrapa Cerra<strong>do</strong>s,<br />

Federal University of Uberlândia - UFU, Federal<br />

University of Goiás – UFG, and Research and<br />

Agribusiness Support Foundation – FAGRO.<br />

The Cerra<strong>do</strong> is the second largest biome in Brazil,<br />

covering an area estimated as 2,036,448 km 2 within the<br />

national territory (IBGE, 2004). A total of 114 Landsat<br />

images were analyzed, all from 2002, and most of which were obtained<br />

in the months of August, September and October, corresponding to<br />

the dry season. Due to cloud cover problems, analysis of 33% of the<br />

images required the combination of two images of the same area,<br />

obtained in different months. SPRING software was used to process<br />

image segmentation, and the segments were converted to shape-files.<br />

Each segment was visually associated to a land cover class on the<br />

computer screen, by overlapping the image cutout with the vectorial<br />

segmentation map, using a mapping scale of approximately 1:50,000.<br />

Polygons smaller than 40 ha were combined to the largest adjacent<br />

class.<br />

To minimize eventual mapping errors, images taken at multiple times<br />

by the Terra/MODIS sensor, as well as contour lines of the biome, and<br />

field work, were also applied in the analyses. Field verifications of the<br />

southern portion of the biome were conducted in two field expeditions<br />

with average duration of seven days each. Six shorter expeditions (1<br />

to 3 days) were conducted in the northern portion of the biome, to the<br />

agricultural regions of Barreiras (Bahia State), PAD (Federal District),<br />

and to the region surrounding the Chapada <strong>do</strong>s Veadeiros National Park<br />

(Cavalcante, Goiás State), where native vegetation is pre<strong>do</strong>minant.<br />

Cultivated pastures were segregated from native pastures through<br />

visual analysis of images, where cultivated pastures present a more<br />

regular geometric pattern than native ones, and through municipal<br />

data obtained by the IBGE Agricultural and Ranching Census. Despite<br />

being seven years old, the Agricultural and Ranching Census is the only<br />

official set of data discriminating cultivated from native pastures at a<br />

scale compatible with the effort of mapping the Cerra<strong>do</strong>.<br />

The following final outputs were generated: 1) printed and<br />

electronic index map of the major existing mapping efforts for the<br />

biome; 2) consolidated database containing the obtained thematic and<br />

cartographic data; 3) 172 image charts at the 1:250,000 cutout and<br />

one image chart of the final mosaic at the 1:5,000,000 scale, all in<br />

electronic format; 4) 172 vegetation charts at the 1:250,000 scale,<br />

and one chart of the final vegetation mosaic at the 1:5,000,000 scale,<br />

all in printed and electronic format; 5) final report.


Results obtained by this sub-project indicate that the Cerra<strong>do</strong> area<br />

covered by the various phyto-physiognomies of native vegetation<br />

represents 60.42% of the biome in Brazil (Figure 4), according to 2002<br />

data. The pre<strong>do</strong>minant Phyto-ecological Region is the Woody Savanna,<br />

corresponding to 20.42% of the Cerra<strong>do</strong>, followed by Park Savanna,<br />

which covers 15.81% of the biome. The area covered by the various<br />

forest phyto-physiognomies encompasses 36.73% of the biome, while<br />

the non-forest area covers 23.68% of the biome. The remaining area<br />

(38.98%) corresponds to human use areas, where cultivated pasture<br />

is the pre<strong>do</strong>minant category (26.45% of the biome), and to water<br />

(0.60%) (Table 3).<br />

Table 3. Characterization of the Cerra<strong>do</strong> biome by Grouped<br />

Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 751,943.49 36.73<br />

Native Non-Forest Vegetation 484,827.26 23.68<br />

Human Use Areas 797,991.72 38.98<br />

Water 12,383.88 0.60<br />

Total 2,047,146.35 100.00<br />

Results from this mapping exercise showed a larger percentage of<br />

Cerra<strong>do</strong> native vegetation cover than previous studies. This difference<br />

is primarily explained by the inclusion, in this mapping effort, of<br />

approximately 28 million hectares of native pastures in the native<br />

vegetation category. If this area was accounted as human use area,<br />

as in previous studies, the<br />

percentage of area covered<br />

with native vegetation<br />

obtained in this effort would<br />

be reduced to 46.74%.<br />

This difference can also be<br />

explained by differences<br />

in spatial resolution of the<br />

satellites generating the used<br />

data. The study conducted by<br />

Conservation International<br />

(Macha<strong>do</strong> et al., 2004), for<br />

instance, was based on the<br />

analysis of satellite images<br />

with a spatial resolution of 1<br />

km, much coarser than the<br />

30-meter resolution of the<br />

Landsat satellite images used<br />

in this mapping effort.<br />

Figure 4. Spatial distribution of areas<br />

occupied by native vegetation (green),<br />

human use areas (pink), and water (blue) in<br />

the Cerra<strong>do</strong> biome.


Caatinga Biome<br />

Executing institutions State University of<br />

Feira de Santana - UEFS, Plantas <strong>do</strong> Nordeste<br />

Association – APNE, Embrapa Soils, Embrapa<br />

Semi-arid, Federal University of Ceará - UFC,<br />

Federal University of Rio Grande <strong>do</strong> Norte - UFRN,<br />

Rural Federal University of Pernambuco - UFRPE,<br />

Federal University of Paraíba - UFPB, Bahia<br />

Environmental Resources Center – CRA, and<br />

Bahia State Secretariat of Environment and Water<br />

Resources - SEMARH.<br />

The Caatinga is the only Brazilian biome entirely within the national<br />

territory, covering an area of 844,453 km 2 (IBGE, 2004). A total of<br />

54 Landsat images (all generated in 2002) were processed to map<br />

the biome’s vegetation. The following activities were executed: 1)<br />

Inventory of the mapping initiatives for the biome; 2) Electronic<br />

processing of satellite images; 3) Validation of interpretation and<br />

classifications; 4) Data integration; 5) Vectorization and editing of<br />

the final cartographic products. The maps result from computerassisted<br />

image classification and geo-processing of electronic land<br />

models produced by NASA. Preliminary results were validated by field<br />

teams composed by experts on flora, phyto-physiognomy, and phytosociology<br />

characterization, who inspected areas selected by probability<br />

criteria to provide a representativeness level compatible with the<br />

mapping scale. The following final outputs were generated: 1) printed<br />

and electronic index map of the major existing mapping efforts for the<br />

biome; 2) consolidated database containing the obtained thematic and<br />

cartographic data; 3) 48 image charts at the 1:250,000 cutout and<br />

one image chart of the final mosaic at the 1:5,000,000 scale, all in<br />

electronic format; 4) 48 vegetation charts at the 1:250,000 scale, and<br />

one chart of the final vegetation mosaic at the 1:5,000,000 scale, all<br />

in printed and electronic format; 5) final report.


Results obtained by this mapping effort indicate that the Caatinga<br />

presents an area of 518,635 km 2 covered with native vegetation,<br />

which corresponds to 62.69% of the mapped biome (Figure 5).<br />

This estimate includes the following phyto-physiognomies: Caatinga<br />

(Steppe Savanna according to the a<strong>do</strong>pted classification, 35.90%),<br />

enclaves of Cerra<strong>do</strong> and Atlantic Forest phyto-physiognomies possible<br />

to map (8.43%), as well as ecological transition areas (ecotones and<br />

enclaves not possible to map, 18%). These calculations considered all<br />

well-preserved areas larger than 40 ha and those with signs of human<br />

activity, but which present, according to the project team’s evaluation,<br />

significant chances of regenerating or possibility of co-existence with<br />

low-impact interventions.<br />

Table 4. Characterization of the Caatinga Biome by Grouped<br />

Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 201,428.00 24.39<br />

Native Non-Forest Vegetation 316,889.00 38.38<br />

Human Use Areas 299,616.00 36.28<br />

Water 7,817.00 0.95<br />

Total 825,750.00 100.00<br />

In 1990, UNDP/FAO/IBAMA quantified native vegetation in four<br />

States as 41.5%, compared<br />

to approximately 65% in 1984<br />

(RadamBrasil data). RadamBrasil<br />

was concluded in 1985, but the<br />

project’s data were collected<br />

throughout two decades. Therefore,<br />

this number reflects changes over a<br />

longer period, instead of a sudden<br />

reduction of the vegetation cover.<br />

The trend obtained with these<br />

estimates indicates a rate of 500,000<br />

ha per year for loss of vegetation<br />

cover in the biome. Compared to<br />

trends found in previous mapping<br />

efforts, which indicate an estimated<br />

projected vegetation cover of 30%<br />

to 34%, the present results were<br />

considered compatible, suggesting a<br />

small decrease in the deforestation<br />

rate for the biome. However,<br />

these numbers may also represent Figure 5. Vegetation cover map of<br />

metho<strong>do</strong>logical differences in the the Caatinga biome.<br />

quantification of native vegetation<br />

cover.


Atlantic Forest Biome<br />

Executing institutions: Geosciences Institute<br />

of the Federal University of Rio de Janeiro – UFRJ,<br />

Geography Department of the Fluminense Federal<br />

University – UFF, and Socio-environmental Studies<br />

Institute of the South of Bahia – IESB.<br />

The Atlantic Forest covers an area of 1,110,182<br />

km 2 in Brazil (IBGE, 2004). A total of 96 images were<br />

processed to map its vegetation cover, 72% of which were generated<br />

between 2001 and 2003. Despite this flexible image generation period,<br />

it was impossible to obtain a complete biome cover free of cloud<br />

influence, especially for the northeastern region. The team chose to<br />

use 90 Landsat images and, for mapping the northeastern region, one<br />

SPOT 4 (2004) and 5 CCD/CBERS (2005) additional images were used,<br />

all with a 20 m spatial resolution. Field work involved 7 to 8-day ground<br />

expeditions with teams of 3 to 4 people, dividing the biome in 12 areas.<br />

Travel routes were selected to cover the broadest geomorphological<br />

diversity and to approach the main differentiated spectral response<br />

standards. Sampling followed a stratified ran<strong>do</strong>m approach, with<br />

an average collection of 1,000 points per area. Analyzed images<br />

were segmented with eCognition software. Supervised classification<br />

preferably used fuzzy modeling with the assistance of target spectral<br />

behavior analysis (defined by training areas obtained in the field)<br />

to group similar objects. The electronic classification was submitted<br />

to a visual editing process (based on field data, secondary data and<br />

image interpretation), followed by manipulation with spatial analysis<br />

integration function. The following final outputs were generated: 1)<br />

printed and electronic index map of the major existing mapping efforts<br />

for the biome; 2) consolidated database containing the obtained<br />

thematic and cartographic data; 3) 86 image charts at the 1:250,000<br />

cutout and one image chart of the final mosaic at the 1:5,000,000<br />

scale, all in electronic format; 4) 86 vegetation charts at the 1:250,000<br />

scale, and one chart of the final vegetation mosaic at the 1:5,000,000<br />

scale, all in printed and electronic format; 5) final report. Observation<br />

points obtained during field work and not consulted for the classification<br />

process were used to validate the final product. Considering the entire<br />

biome, the mapping effort obtained a precision index of 86.39%.<br />

The total area covered by native vegetation in the biome was<br />

calculated as 26.97%, of which 21.80% are composed by distinct forest<br />

physiognomies (Table 5, Figure 6). The Broadleaf Evergreen Forests<br />

(9.10%) are the main forest component of the biome, followed by<br />

Seasonal Semideciduous Forests (5.18%). The worst scenario belongs


to the Open Broadleaf Forests (with palm trees), which are almost<br />

extinct today (0.25% of the biome). Among the enclaves, the Grass-<br />

Woody Steppes (Pampas) are the most representative physiognomy in<br />

the biome (2.69% of the biome).<br />

Table 5. Characterization of the Atlantic Forest biome by<br />

Grouped Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 230,900.49 21.80<br />

Native Non-Forest Vegetation 40,689.04 3.84<br />

Pioneer Formations 14,051.26 1.33<br />

Human Use Areas 751,372.78 70.95<br />

Water 15,364.13 1.45<br />

Unclassified 6,650.15 0.63<br />

Total 1,059,027.85 100.00<br />

Results found by this mapping effort differ from the numbers<br />

presented in the Atlas of the Atlantic Forest Remnants (Fundação SOS<br />

Mata Atlântica, 2002), being significantly greater. However, comparisons<br />

between these two studies should be regarded with caution, considering<br />

that: 1) there are differences concerning the biome limits a<strong>do</strong>pted by<br />

each study (Brazilian Biomes Map – IBGE, 2004, versus limits of the<br />

Atlantic Forest <strong>do</strong>main defined in the IBGE Vegetation Map, 1993); 2)<br />

mapping scales are different (medium detail: 1:250,000 and macro<br />

detail: 1:50,000), being therefore necessary to verify if data sources<br />

used (image resolution) comply with the final analysis scale; 3) the<br />

present study includes non-forest phyto-physiognomies and all types of<br />

pioneer formations (including alluvial communities and sandy strips);<br />

4) Dense, Open, and Mixed<br />

Broadleaf Forest, and Seasonal<br />

Deciduous and Semideciduous<br />

Forest were included among<br />

forest formations. Also<br />

differently from the Atlas,<br />

the Woody Savannas, Woody<br />

Steppe Savannas, and all<br />

Areas of Ecological Transition<br />

were considered as forests;<br />

5) totals obtained include<br />

secondary vegetation in<br />

advanced development stage,<br />

as established by MMA.<br />

Figure 6. Vegetation cover map of the Atlantic Forest biome (Southeast<br />

Region).


Pampas Biome<br />

Executing institutions: Federal University<br />

of Rio Grande <strong>do</strong> Sul – UFRGS, Support<br />

Foundation of the Federal University of Rio<br />

Grande <strong>do</strong> Sul – FAURGS, Embrapa Temperate<br />

Climate, and Embrapa Livestock South.<br />

The Pampas biome comprises the grasslands of<br />

Missions and of the southern portion of Rio Grande <strong>do</strong><br />

Sul State, covering an approximate area of 176,496 km 2 ( I B G E ,<br />

2004). For mapping the Pampas vegetation 22 Landsat images were<br />

used, all generated in 2002. A mosaic was formed with the images<br />

to produce a single file for the entire biome. For interpretation, this<br />

mosaic was divided into 23 image charts based on systematic mapping<br />

at the 1:250,000 scale. For each map win<strong>do</strong>w, two false-color images<br />

were generated, using bands 3, 4 and 5. Soil cover classes were<br />

obtained through visual on-screen interpretation, with the assistance<br />

of CartaLinx software. Areas covered with Pampas original vegetation<br />

were identified on the colored composites enlarged on-screen to the<br />

1:50,000 scale. Each classification was verified on the ground by eight<br />

field expeditions with an average duration of four days, covering the<br />

various physiognomies of the Pampas. Image interpretation sought<br />

to identify categories indicating a forest or grassland physiognomic<br />

<strong>do</strong>main, or indicating the degree of human pressure on the specific<br />

vegetation formation. Both the grassland and forest formations<br />

present some degree of alteration in comparison to their original<br />

characteristics. Alteration degree was used as a criterion to decide if a<br />

given vegetation cover should be classified as native vegetation.<br />

The following final outputs were generated: 1) printed and electronic<br />

index map, which includes the major existing mapping efforts for the<br />

biome; 2) consolidated database containing the obtained thematic and<br />

cartographic data; 3) 23 image charts at the 1:250,000 cutout and<br />

one image chart of the final mosaic, all in electronic format; 4) 23<br />

vegetation charts at the 1:250,000 scale, and one chart of the final<br />

vegetation mosaic (Figure 7), all in printed and electronic format; 5)<br />

final report.


This mapping of the Pampas biome vegetation cover identified three<br />

types of vegetation formation: Grasslands, Forests and Transition Areas.<br />

A total of 41.32% of the Pampas biome present native vegetation cover,<br />

while 48.70% are modified by human use (Table 6).<br />

Table 6. Characterization of the Pampas Biome by Grouped<br />

Phyto-ecological Region.<br />

Grouped Phyto-ecological Region Area (km 2 ) %<br />

Native Forest Vegetation 9,591.05 5.38<br />

Native Grassland Vegetation 41,054.61 23.03<br />

Native Vegetation - Transition 23,004.08 12.91<br />

Human Use Areas 86,788.70 48.70<br />

Water 17,804.57 9.98<br />

Total 178,243.01 100.00<br />

Figure 7. Final mosaic of the<br />

Pampas biome vegetation mapping.<br />

References<br />

Fundação SOS Mata Atlântica & Instituto<br />

Nacional de Pesquisas Espaciais –<br />

INPE. 2002. Atlas <strong>do</strong>s Remanescentes<br />

Florestais da Mata Atlântica: perío<strong>do</strong><br />

1995-2000. Relatório Final.<br />

IBGE. 2004. Mapa de Biomas <strong>do</strong> Brasil,<br />

primeira aproximação. Rio de Janeiro:<br />

IBGE. Acessível em www.ibge.gov.br.<br />

Macha<strong>do</strong>, R. B., M. B. Ramos Neto, P. G. P.<br />

Pereira, E. F. Caldas, D. A. Gonçalves,<br />

N. S. Santos, K. Tabor, & M. Steininger.<br />

2004. Estimativas de perda da área <strong>do</strong><br />

Cerra<strong>do</strong> brasileiro. Brasília: Conservação<br />

Internacional. 23p. Acessível em<br />

www.conservation.org.br/arquivos/<br />

RelatDesmatamCerra<strong>do</strong>.pdf.<br />

Pott, A., J. S. V. Silva, M. M. Ab<strong>do</strong>n, V. J.<br />

Pott, L. M. Rodrigues, S. M. Salis & G.<br />

G. Hatschbach. 1997. Vegetação. In:<br />

PLANO DE CONSERVAÇÃO DA BACIA<br />

DO ALTO PARAGUAI – PCBAP/Projeto<br />

Pantanal. <strong>Ministério</strong> <strong>do</strong> <strong>Meio</strong> <strong>Ambiente</strong>,<br />

<strong>do</strong>s Recursos Hídricos e da Amazônia<br />

Legal - Subcomponente Pantanal.<br />

Diagnóstico <strong>do</strong>s meios físico e biótico.<br />

Brasília: MMA/SEMAM/PNMA. 194p

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