april 2009 report: 2o year of the amazon biome soy ... · 2o year of the amazon biome soy...

April 2009

REPORT:

2o YEAR OF THE AMAZON BIOME SOYMORATORIUM MAPPING AND MONITORING

he Soy Moratorium in the the monitored surface was

Amazon Biome, declared on increased by 106,904.42 ha, thus TJuly 24, 2006 by industries totaling 157,896.37 ha. Sampling of

and exporters associated to ABIOVE the monitored polygons was

and ANEC was renewed on June 17, expanded to 630 polygons, with the

2008, with the adhesion of the inclusion of 365 new areas. We performed overflights between Ministry of the Environment, and December 2008 and March 2009, on the companies’ commitment not to open areas and identified, buy s oybean s f r om new ly photographed and documented the deforested areas in the biome has type of soil use and occupation. been maintained. We performed Soybean cultivation was recorded in the f i rst deforested areas 12 monitored polygons consisting of monitoring, whose results were a total area of 2,156.85 ha, of which published in 2008. We arrived at the 1,384.95 ha contained soybean conclusion that in the 265 selected plantations. polygons, consisting of a total area The official databases of FUNAI, of 49,809.14 ha, there were no IBAMA, IBGE and INPE/PRODES were planting of soybeans. used in addition to statistical The Mapping and Monitoring projections developed by GTS, Subgroup of the Soybean Working providing more transparency and Group – GTS, agreed to contract our credibility to the study. company – Globalsat Sensoriamento This report presents information on Remoto – once again to survey the the field surveys as well as a soil use and occupation in the description of the methodology deforested areas. used. In the 2008/2009 crop monitoring,

2nd YEAR OF THE AMAZON BIOME SOY MORATORIUM MAPPING AND MONITORING

EXEC

UT

IVE S

UM

MA

RY

2

1) Compilation of data from the INPE/PRODES Reservations); and d. In municipalities in which in the – Amazon Deforestation Calculation Program

2007/2008 crop and/or 2008/2009 forecasted (www.inpe.br);2) Generation of a database on polygons, crop indicated soybean acreage over 5,000 ha.

based on criteria for area selection defined by the The database used was the IBGE/PAM and LSPA

GTS: databases and statistical projections prepared by a. Within the Amazon Biome, totally or the GTS.

partially contained within its limits; e. All areas above 100 ha in the states b. In states with significant soybean of Mato Grosso, Pará and Rondônia.

acreage (Mato Grosso, Pará, and Rondônia); and f. All areas below 100 ha of the first c. Located outside the protected areas year monitoring in the municipalities of Feliz

(Conservation Units and Native Indian Natal, União do Sul and Vera, in the State of Mato

the methodology to select the deforested polygons in the Amazon Biome was the same used for the T1st Monitoring, previously defined by the Mapping and Monitoring Subgroup.

he Soy Moratorium Monitoring provides a performed in the municipalities of Feliz Natal,

set of information on soil use and União do Sul and Vera, all three in the State of Toccupation, identifying soybean Mato Grosso.

produced in recently deforested areas, in order

that participating companies comply with their We were assigned a new mission to perform the commitment not to acquire such product. The monitoring for the 2008/2009 crop. In this first monitoring performed by means of field survey, all the polygons monitored last year as surveys for the 2007/2008 crop concluded that well as those selected from images of the there were no soybeans planted in the 195 INPE/PRODES 2008 are included. polygons above 100 ha and in the 70 polygons

below 100 ha that composed the pilot project

(See:http://www.abiove.com.br/ss_relatoriou

so_br.html).

he scope of our work was to map, monitor As a result, we contribute with transparent facts,

and document soil use and occupation of data and actions to quantify the soybean Tthe deforested areas in the Amazon Biome, participation and provide new subsidies for the

after the Soy Moratorium declaration of July 24, d i scus s ions concern ing the complex

2006, with the specific objective of verifying the deforestation process of that biome, which

presence – or not – of soybean plantations in those represents 49% of the Brazilian territory and

areas. where over 20 million inhabitants live.

I - Introduction

II - Scope of our work

2.1 - Procedures

III - Methodology

3

Air reconnaissance was executed using where fires occurred;f. Reforestation: area with forest aircrafts equipped with GPS and planting of cultures such as eucalyptus, computers, and real time navigation. The pinus or other species; soil use and occupation characterization g. Natural Regeneration: area which was verified at the time of the overflights. after clearing or clearing by fire, or that For the purposes of this study, the a re u sed fo r ag r i cu l tu ra l and following classifications were defined and livestock/cattle raising activities or for adopted;other uses, and are laid fallow and a. P l a n t a t i o n s : a r e a s w i t h currently presents the ocurrence of native plantations of crops such as soybeans, species of vegetation which are growing rice, corn;

b. Deforested areas: areas that naturally.Each selected polygon was identified by: suffered native vegetation exploitation, _ Identification Number – ID: with total or part forest clearing;continuous numbering from 01 to 630; c. Fores t : a rea w i th na t i ve Name of the owner and farm: information vegetation in different succession stages, just for the participants’ in-house use. but modified by anthropic activities; They were obtained with the relevant d. Pasture: area planted or with the bodies and market participants, when we natural occurrence of pastures for identified soybean planting in a livestock/cattle raising activities;

e. Ground clearance by fire: area deforested area;

2.3 Polygons Identification and Characterization

Cartographic Base: S e l e c t i o n o f P o l y g o n s w i t h

Deforestation:1. Map of Brazilian Biomes: series of Mural Maps of the Brazilian Institute of The selection was performed through

Geography and Statistics (IBGE) (2004) – digital geo-processing tools, obtained in

Scale: 1:5,000,000. the shapef i le format (SHP) by 2. Other cartographic data used are INPE/PRODES Digital in the form of vector made available on the websites of IBGE, maps and satellite images, referring to the IBAMA, INCRA and FUNAI: political and deforestations that occurred between the administrative division; hydrographic, months of August 2006 and July 2008. settlements, limits of the Conservation

Units and Native Indian Lands.

Grosso (Pilot Project, whose purpose was occupation in the polygons. 4) For each area a technical document to collect information about the areas was recorded;below 100 ha for adjustments in the 5) Photos recording the places visited; subsequent year’s monitoring). 6) Collected information and data 3) Performing overflights and land tabulation were crossed;visits during the time soy is planted at the 7) Maps and reports preparation.selected locations to identify soil use and

2.2 - Polygons Identification and Characterization

4

Software Programs:

Map Editing:

Data Tabulation:

(maps, spreadsheets, reports) were converted The following software programs were used: into PDF, SHP and KML files and subsequently - Arc Map: to edit polygons and maps; made available to the Mapping and Monitoring - Arc Pad: to locate polygons during Subgroup. overflights; - Track Maker: to generate course tracks

during inspections. For each of the three monitored states – Mato

Grosso, Pará and Rondônia – maps were prepared

with the limits of the Amazon Biome that contain After collecting data on the field, the material deforested polygons in their municipalities (INPE/ was sent to be tabulated, analyzed ad approved PRODES).by the Globalsat’s Technical Department. All data

_ Municipality; _ Unstable/Precarious fuel supply: some _ Soil use and occupation: according to airports and airdromes do not have fuel regularly classification; available. _ Deforested area in ha; _ Problems in obtaining information: there is _ Soy acreage area in ha; plenty of resistance on the part of owners and _ Central geographic coordinates (X and Y); regional traders in providing information about _ 2008 and 2009 satellite images and photos. farms/estates/ranches.The aerial survey was performed during 253.8 _ Deficient communication channels: in flight hours between December 27, 2008 and various opportunities information was only March 27, 2009, covering a total distance of transmitted to headquarters (Rondonópolis) days 25,060 Km. after the survey was performed, especially due to The main difficulties faced during this survey

deficient communication infrastructure in some were:

regions. _ Unfavorable climate: at this time of the

_ Problems with travel by land: traffic year there are cloud formations almost every day,

conditions in some regions are extremely which makes it difficult to perform the work in a

precarious due to their [lack] of infrastructure sequence (many interruptions for consecutive

and to rain levels. rainy days or days with too many clouds).

2.4 - Softwares Programs, Data Tabulation and Map Editing

5

he area covered and the number of polygons was greatly increased in the Soy

Moratorium Monitoring for the 2008/2009 crop when compared to the previous Tcrop. This year, the monitored area increased by 217%, to 157,896.37 ha from

49,809.14 ha, while the number of polygons increased to 630 from 265, distributed in 46

municipalities.

Figure 1, shows the distribution of the monitored area and polygons by state. For

example, in the State of Mato Grosso (green color) 33.5 thousand ha were monitored

corresponding to 141 polygons obtained from the INPE/PRODES/2007 images, plus

87.9 thousand ha of the 295 polygons of the INPE/PRODES 2008 images and 2.0 thousand

ha of the 70 polygons of the pilot project. In total, the 2nd Monitoring covered 123.4

thousand ha distributed into 506 polygons in the state of Mato Grosso.

IV - Results

6

Table 1 – Soy Monitoring Comparison – 2008-2009

State

MT 506211

11252

122

PA

RO

Total 49.809,14

35.492,89 123.415,42

31.006,73

3.474,22

13.629,88

686,37

157.896,37 265 630

Monitored area 2008 (ha)

Monitored area2009 (ha)

Number of Polygons

2008

Number of Polygons

2009

Figure 1 – Polygon distribution and monitored area in the 2nd year of the Soy

Furthermore, figure 1 shows that from the INPE/PRODES 2008 images, 295 polygons were selected in

the State of Mato Grosso, 60 in the State of Pará, and 10 in the State of Rondônia, totaling 365 new

monitored polygons added to the 265 polygons of the 1st Soy Monitoring. In areas, the total of those

polygons is 87.9 thousand ha, 17.4 thousand ha, and 2.8 thousand ha, respectively, totaling 108.1

thousand ha, where soil use and occupation were analyzed. According to Table 2, 12 polygons were found where soybeans were planted, with a total area of

1,384.85 ha, which corresponds to 0.88% of the total monitored area of 157,896.37 ha.

7

ID StateMunicipalityTotal area of the

polygon (ha)Area planted with

soybeans (ha)

PILOT PROJECT

PRODES 2007

PRODES 2008

Subtotal – Pilot Project

Subtotal PRODES 2007

Subtotal PRODES 2008

Total - General

Feliz Natal

Feliz Natal

Feliz Natal

58,62

165,52

38,62

5,41

24,53

256,36

24,53

45,44

59,96

865,95

59,96

630,95

30,40

149,86

30,40

149,86

49,46

132,10

258,57

105,52

105,52

2.156,85 1.384,96

3,81

3,81

247,32

35,74

112,92

222,97

1.828,36 1.191,90

189.25

MT

MT

MT

MT

MT

MT

MT

MT

MT

MT

PA

PA

Feliz Natal

Gaúcha do Norte

Feliz Natal

Querência

Feliz Natal

Sinop

Feliz Natal

Dom Eliseu

Dom Eliseu

53

74

55

144

56

335

60

421

62

516

520

102

Table 2 – Polygons with soybean planting by municipality

Table 2, we note that of the 12 polygons with soybean cultivation, 11 of them are a result

of deforestation occurred between August 2006 and July 2007. This evidences that

soybeans are not usually planted during the first year of deforestation.

The following were found: 7 areas in the Municipality of Feliz Natal; 2 areas in the

Municipality of Dom Eliseu; 1 area each in the Municipalities of Gaúcha do Norte, Sinop

and Querência. Based on field information and real estate records, it was determined

that the 12 polygons correspond to 10 farms. Polygons numbers 55 and 56 of the pilot

project are part of the same property, as well as polygons 60 of the pilot project and 74

of the INPE/PRODES 2007. It was noted that polygons 74 of the INPE/PRODES 2007 and

102 of the INPE/PRODES 2008 planted only 9.22 ha of a total of 271.04 ha corresponding

to cleared areas. It should be stressed that Feliz Natal is a municipality with high rates of new deforested

areas, and for that reason it was chosen for the pilot project since the first monitoring.

In total, 96 polygons of this municipality were monitored. 5 of the polygons in which

soybean plantations were found in Feliz Natal are part of the pilot project. The soybean

planted area in those 7 polygons totaled 198.46 ha, corresponding to 14.33% of the total

planted area with soybeans in the 12 polygons where plantations of soybeans were

found.

8

Figure 2 – Distribution of polygons and areas monitored in the 2º Monitoring of the Soy Moratorium

All the 8 properties located in Mato Grosso that planted soybeans are in the process of obtaining their

environmental licenses, according to information provided by the State Secretariat of the Environment

( ). This indicates that at least part of rural growers is observing Brazilian

environmental laws and regulations, or assumed the commitment of recovering environmental

damaged areas. Research in the real estate records of 5 properties located in Feliz Natal, which

together planted only 198 ha of soybeans, showed that 3,182 ha of the total area of 6,746 ha were

formally committed to the Mandatory Reserve or another type of cultivation restriction.

www.sema.mt.gov.br

9

http://www.sema.mt.gov.br

Leandro Fabiani

Agronomist

Globalsat Sensoriamento Remoto

V - Conclusions

10

the results of the 2nd Soy Moratorium Monitoring bring us to the

conclusion that the presence of soybeans in the Amazon Biome Odeforested areas occurring after July 2006, and located in the

municipalities with relevant production of the oilseed, is low. In the current year,

we verified that soybean planting was determined in only 0.88% of the total area

of 157,896.37 ha monitored. Taking into consideration the results of the 1st Monitoring, in which the presence

of soybean plantations were not detected in any new deforested areas, the

validity of the thesis according to which no soybean planting occurs during the

first year where the areas are cleared can be considered a valid one. Furthermore, the information gathered at the official bodies showed that in the

Mato Grosso properties where soybean plantations were detected in new

deforested areas, environmental licensing processes were in progress, which

indicates the high probability that such deforestations were legally carried out. Globalsat Sensoriamento Remoto is of the opinion that the documentation and

recording work, performed by means of a transparent process, are ample and

detailed and allow the industries and export companies participants of the Soy

Moratorium to comply with their commitment of not acquiring soybeans from

new areas that were deforested in the Amazon Biome from July 24, 2006

onwards.

Rondonópolis, April 14, 2009

You can access the photos of the

survey by clicking on the ID number

of each area on the tables.

Visit the website www.abiove.com.br

See an example below:

ID

ID

Area (ha)

Area (ha)

Bom Jesus do Araguaia

Bom Jesus do Araguaia

Click on the ID numbers to see the imagens of each area

Report on field visit-state of Mato Grosso

11

ID Area (ha) Soy Soil Use and Occupation 2008

001 192.10

002 396.12 No

No Clearing by fire

Pasture


001 192.10

002 396.12 No

No Clearing by fire

Pasture

12

RESULTS OF THE 1ST SOY MONITORING

VI - AttachmentsAttachment I

Results of the 1st Mapping and Monitoring of the Soy Moratorium are included in Table 3

and Table 4 below:

Table 5 summarizes some information of the 1st Monitoring and Mapping performed

on polygons of more than 100 ha:

Table 5 shows the high concentration of municipalities and polygons monitored in the

State of Mato Grosso. That is due to the low number of municipalities with relevant

soybean planted areas in the States of Pará and Rondônia, i.e., with over 5,000 ha of

soybeans during the 2006/2007 and/or 2007/2008 crops, according to the criteria

mentioned in Section III. Summing up, the first year of monitoring performed a field survey and recorded the soil

use and occupation of 265 polygons covering a total area of 49,809.14 ha. No soybean

plantations were detected in any of them .

Table 3 – Soy Monitoring 2007/08: Number of municipalities, number of polygons and monitored area

Table 4 – Monitoring of the 2007/2008 Soybean Pilot Project: Number of polygons and monitored area

Table 5 - 2007/08 Soybean Monitoring: Total number of municipalities, polygons, and monitored area

State

State

MT

MT

PA

PA

RO

RO

Total

Total

37

37

30

30

141

211

33.502,28

35.492,89

13.629,88

13.629,88

686,37

686,37

52

52

2

2

5

5

2

2

195

265

47.818,53

49.809,14

Number of Municipalities

Number of Municipalities

Number of Polygons

Number of Polygons

Monitored Area (ha)

Monitored Area (ha)

Total

Feliz Natal 28 833,25

743,36

414,00

26

16

União do Sul

Vera

70 1.990,61

Municipality No. of Polygons Monitored Area (ha)

Note: The total of 37 municipalities includes the three municipalities of the Pilot Project.

13

Monitoring in the State ofMato Grosso (MT)

Bom Jesus do AraguaiaID

ID

Area (ha)

Area (ha)

Soy

Soy

Soil Use and Occupation 2008

Soil Use and Occupation 2008

001 192.10

002 396.12

Brasnorte

003 202.73 No

No

No

004 127.59

005 184.88

006 116.87

007 106.92

008 197.47

009 108.60

Natural regeneration

010 115.20

Subtotal 588.22

Clearing by fire

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT Attachment II

14

Cláudia

031 106.86

032 217.58

Subtotal 1085.34

Deforestation

Clearing by fire

033 147.31 Clearing by fire

Clearing by fire

034 229.90 Deforestation

Deforestation

Deforestation

035 120.72

036 132.14

037 130.82

Canarana

029 155.57 No

030 154.05 No

Subtotal 309.62

Pasture

Clearing by fire

Canabrava do Norte

028 134.47 No

Subtotal 134.47

Pasture

Subtotal 6719.19

011 104.77 Pasture

012 127.49 Pasture

013 103.58 Pasture

014 185.28 Natural Regeneration

Natural Regeneration



015 101.77

016 145.72

017 368.88

018 1434.89

019 1512.77

020 142.79

021 444.62


Deforestation

Deforestation

Deforestation

Deforestation


024 102.36

025 120.78

026 182.00

027 129.04

Brasnorte

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

Clearing by fire

Clearing by fire

Clearing by fire

Clearing by fire





FIE

LD

VIS

ITS R

EPO

RT

15

ID 048 ID 053 ID 055

Feliz Natal

042 9.49



044 32.84 Pasture




046 8.28

047 17.64

048 29.35 Rice


050 27.92 Pasture

051 23.76 Pasture




053 58.62 Yes Soybeans

054 7.43 No Pasture



057 11.29 No

058 61.15 No

Clearing by fire059 No

060 30.40 Yes

061 28.62 No Natural Regeneration

062 49.46 Yes

0

0

0

0

0

0

0

0

0

0

0

38.62

0

24.53

59.96

11.22

30.40

0

0

0

35.74

0

Comodoro

038 128.33

039 119.36

Subtotal 391.69

Deforestarion

Clearing by fire


Diamantino

041 204.21 No

Subtotal 204.21

Pasture

No

No

No

No

No

No

No

No

No

No

No

No

No

No

ID Area (ha) Soy Soil Use and Occupation 2008 Soybean/Ha

Soybeans

Soybeans



ID 063 ID 070

16

083 238.75

084 100.27


Clearing by Fire





Clearing by fire

Clearing by fire

Clearing by fire

Clearing by fire

Clearing by fire

Clearing by fire

089 423.67

090 181.66

091 152.52

092 201.43

093 107.03

094 153.04

095 145.63 Natural Regeneration and Rice

096 539.67 Deforestation and Clearing by Fire

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Feliz Natal

075 155.19 No Rice

076 196.39 Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

077 139.97

078 202.58

079 230.43

080 139.61 Natural Regeneration and Clearing by Fire


082 244.34 Deforestarion

0

0

0

0

0

0

0

0

063 80.20 Rice

064 18.96 Rice

065 40.03 Pasture








0

0

0

0

0

0

0

0

0

0


074 165.52 Yes Soybeans 5.41

0


No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT

17

126 125.12

127 110.42

128 482.86

129 455.14

130 148.49

131 193.38 Clearing by Fire and Deforestation




135 221.17 Claring by Fire


137 171.42 Rice


Subtotal 17886.27 198.47

0

0

0

0

0

0

0

0

0

0

0

0

0

124 117.85

125 111.21

0

0

108 318.99

109 168.34

110 1820.70

111 175.07

112 126.63

113 128.54

114 106.30

115 225.15

116 133.89 Deforestarion and Clearing by Fire

Deforestarion and Clearing by Fire117 108.26



120 517.58 Pasture

121 934.84 Deforestarion and Clearing by Fire

122 114.73 Deforestation and Natural Regeneration

123 167.22

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

Feliz Natal

Clearing by fire101 662.51

102 105.52 Yes Soybeans and Deforestation


Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

0

0

3.81

104 161.98

105 Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

Clearing by Fire

105.01

106 152.04

0

0

0

107 152.85 0




Clearing by Fire100

0

148.17

0

0

0

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No


ID 142 ID 144 ID 145

18

Gaúcha do Norte

139 1360.93 No

140 236.60 No

Rice


141 264.44

142 139.57 Pasture

143 138.94 Pasture


145 374.84 No Pasture





150 107.63 No Deforestation

151 205.13 No Clearing by Fire

0

0

0

45.44

0

0

0

0

0

0

0

0

0










170 127.46 Rice and Clearing by Fire

0

0

0

0

0

0

0

0

0

0

152 295.05 No Clearing by Fire

153 469.31 No

No

No

Deforestation



Deforestation156 150.45

Clearing by Fire157 183.69


Deforestation

Deforestation

159 222.79

160 187.57

0

0

0

0

0

0

0

0

0

No

No

No



No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT

19

Subtotal 14573.04









Deforestarion

172 448.45 Pasture and Clearing by Fire

173 442.79







0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

45.44

Gaúcha do Norte



191 159.23 Rice and Natural Regeneration





Subtotal 2133.06

187 127.24 Pasture

188 114.74 Pasture

Ipiranga do Norte






196 340.40 Pasture


Itanhangá


No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No



20









Subtotal 4074.69

Itanhangá

Itaúba

213 176.70 Pasture

214 313.59 Pasture

215 105.33 Pasture

216 117.72 Pasture


218 970.09 Clearing by Fire and Pasture

219 326.63 Clearing by Fire and Pasture



222 155.44 Pasture

223 395.46 Pasture

Subtotal 3691.84

211 449.53 Pasture

212 104.41 Pasture

Subtotal 111.66


Juara

225 105.64 Pasture

226 459.79 Pasture

227 185.65 Pasture



Marcelândia


No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No




No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT

21



Subtotal 648.65

251 235.90 Pasture


Nova Marilândia

Subtotal 4667.62


231 135.36 Pasture

232 385.56 Pasture

233 109.14 Pasture and Natural Regeneration

234 124.08 Pasture

235 559.94 Pasture


237 492.50 Pasture

238 179.48 Pasture

239 112.26 Pasture

240 1085.12 Pasture

Marcelândia

Subtotal 249.62

241 249.62 No Deforestarion and Natural Regeneration

Nortelândia

244 116.80

245 151.06

246 217.94

247 132.70

248 101.93

249 108.51

250 185.80

Subtotal 1431.92

242 181.30 Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

Pasture

243 235.89

Nova Canaã do Norte


No

No

No

No

No

No

No

No

No

No

No



No

No

No

No

No

No

No

No

No


No

No

No

No

ID 263

ID 268

ID 277

22

257 223.17 Pasture


259 105.35 Rice

260 233.33 Pasture



Subtotal 1397.98



Nova Maringá

263 162.41 Forest

264 514.41 Rice and Natural Regeneration


266 113.77 Deforestation Clearing by Fire and

267 121.20 Deforestation Pasture and

Deforestation and Claring by fire



270 131.55 Forest and Pasture

271 169.35







Nova Ubiratã


No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No


FIE

LD

VIS

ITS R

EPO

RT

23

ID 284 ID 297ID 283






Subtotal 6669.52



285 131.61 Deforestation Clearing by Fire and








295 135.75 Pasture

296 104.46 Pasture

Subtotal 595.03



Novo Mundo

Nova Ubiratã


298 152.03 Pasture

299 226.84 Pasture

300 145.35 Pasture

Paranatinga

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No




24




313 148.62 Clearing by Fire e Deforestation










323 189.68 Clearing by Fire e Deforestation


Subtotal 5734.48

Subtotal 261.14


Pontes e Lacerda

Porto Alegre do NorteID

Subtotal 625.62



328 155.30 Pasture

329 161.32 Pasture


302 103.58 Forest



305 106.05





Clearing by Fire

Paranatinga

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT



Area (ha) Soy Soil Use and Occupation 2008

25

Ribeirão Cascalheira

Subtotal 1079.56

356 606.11 Pasture

357 327.97 Pasture


Porto dos Gaúchos

Subtotal 380.68




Subtotal 6188.17


334 106.65 No Natural Regeneration and Clearing by Fire






336 265.99 Rice



339 109.73 Pasture




343 131.41 Forest

344 139.84 Forest








Querência

0

0

630.95

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

630.95

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No


ID Soybeans/haArea (ha) Soy Soil Use and Occupation 2008


26


Santa Carmem

Subtotal 1993.05

359 188.83 Pasture

360 170.28 Natural Regeneration and Deforestation

361 233.70 Rice

362 204.26






Santa Cruz do Xingu

Subtotal 262.17


369 235.76 Pasture

370 465.22 Pasture

371 401.05 Pasture

372 128.19 Pasture

373 125.13 Regeneração Natural

374 926.68 Pasture

375 266.16 Pasture


377 4796.17


São Félix do Araguaia

Pasture










388 109.41


Deforestation

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

Rice

No

No

No

No

No

No

No

No

No

No

No

No



FIE

LD

VIS

ITS R

EPO

RT

27

São Félix do Araguaia



394 680.80 Pasture

395 952.52 Pasture

396 228.15 Pasture

397 199.48 Pasture

398 175.77 Pasture

399 243.36 Pasture

400 102.39 Pasture

Subtotal 20265.53

São José do Rio Claro

Subtotal 481.04

401 349.41 Pasture

402 131.63 Natural Regeneration and Deforestation






418 816.74 Pasture

419 1464.17 Pasture

420 241.08 Pasture

Subtotal 7454.53

403 178.28 Pasture

404 665.71 Pasture

405 221.62 Pasture

406 203.51 Pasture

407 224.77 Pasture




São José do Xingu

411 221.09


Clearing by Fire


391 3107.33 Pasture

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No




28

ID

Subtotal 481.04



149.86

0

Soybeans/ha

Sinop

Subtotal 135.35

423 135.35 No Rice

SorrisoID

424 119.86 Pasture

425 266.74 Pasture

426 110.65 Pasture

427 103.18 Pasture

428 359.16 Pasture

429 104.06 Pasture



432 103.90







439 146.69 Pasture

TabaporãID

Clearing by Fire

Subtotal 3017.60

149.86

ID


Deforestation441 106.17 No

481.04Subtotal

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No





Tapurah

FIE

LD

VIS

ITS R

EPO

RT

29

442 65.61 Pasture

443 84.73 Pasture


461 10.80 Pasture

462 60.06 Pasture

463 16.25 Pasture



445 16.09 Pasture


447 27.86 Natural Regeneration Pasture and








455 12.92 Pasture

456 14.49 Rice

457 7.31 Pasture

458 10.22 Rice

459 10.47 Pasture

460 0.31 Pasture

União do SulID

466 35.61 Rice


468 135.96 Pasture

469 1735.90 Pasture

470 111.83 Rice


Deforestation

Clearing by Fire

132.98

232.47

482

483

477 276.10 Pasture





472 361.93 Rice


474 125.98 Pasture

475 722.32 Pasture

476 144.60 Pasture

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No


30

Clearing by Fire

Deforestation


109.41

202.83

100.24

6465.04

484

485

486

Subtotal


488 34.80 Pasture




VeraID

União do SulID


493 15.04 Pasture

494 31.36 Pasture

495 7.41

496 10.27 Forest



499 19.65 Pasture


501 84.94 Rice


Pasture

Subtotal 608.24

503 194.24 Pasture

ID

Subtotal 391.49

504 115.89 Pasture Natural Regeneration and


Vila Bela de Santíssima Trindade

506 119.41 Pasture




No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT

31

Monitoring in the State ofPará (PA)

Dom ElizeuID

507 120.04

508 186.21

Deforestation

Corn




512 175.76 Reforestation


514 118.15 Pasture

515 121.72 Reforestation

516 132.10 Soybeans


518 113.55 Pasture


520 258.57 Soybeans

521 181.75 Corn

Soybeans/ha

0

0

0

0

0

0

0

0

0

112.92

0

0

0

247.32

0

Subtotal

ParagominasID

522 214.49

523 127.66

Deforestation

Pasture

524 213.57 Pasture

525 101.95 Deforestation and Rice

526 263.16 Pasture

527 108.45 Pasture

528 126.92 Pasture

529 369.69 Pasture

530 166.45 Pasture

531 113.48 Pasture


533 107.21 Pasture


Subtotal

2674.39 360.24

2239.79


No

No

No

No

No

No

No

No

No

Yes

No

No

No

Yes

No

No

No

No

No

No

No

No

No

No

No

No

No

No


32

Santana do AraguaiaID

535 277.68 No

536 667.89

Pasture

Pasture


538 110.35 Pasture

539 111.92 Pasture

540 514.40 Pasture


542 533.78 Pasture

543 121.87 Pasture

544 231.24 Pasture

545 146.70 Pasture

546 106.88 Pasture

547 171.79 Pasture

548 360.09 Natural Regeneration and Pasture

549 881.18 Pasture

550 133.81 Pasture

551 115.99 Pasture

Pasture552

Natural Regeneration and Pasture553 145.82

554 222.42 Pasture

555 102.28 Pasture

556 744.37 Pasture



559 115.45 Pasture


561 1104.78 Pasture

562 312.63 Pasture

197.24

563 113.81 Pasture

564 118.15 Pasture

565 103.33 Deforestation and Pasture

566 148.91 Pasture


568 115.95 Pasture








576 222.96 Clearing by Fire Natural Regeneration e


No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

FIE

LD

VIS

ITS R

EPO

RT

33

577 141.66 Deforestation Pasture e

Natural Regeneration578

Clearing by Fire579 188.99

580 254.31 Pasture

581 373.48 Pasture

582 246.17 Pasture

583 197.50 Pasture




587 135.54 Pasture

588 323.88 Pasture

589 301.54 Pasture

590 249.71 Clearing by Fire Pasture e



593 156.64 Pasture Natural Regeneration e

353.25

Subtotal 16765.54

Santana do AraguaiaID

SantarémID

594 125.30

595 114.50

Subtotal 239.80

UlianópolisID

596 260.60

597 101.77


Pasture

598 213.89 Pasture



601 150.15 Pasture








609 150.25 Clearing by Fire Deforestation Pasture, e

610 2081.13 Clearing by Fire Deforestation e


Deforestation




No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

No

34

611 1425.20 No


Clearing by Fire and Deforestation613

Deforestation, Natural Regeneration Pasture and 614 635.61

615 1137.21

616 156.72

617 151.34 Deforestation Reforestation Clearing by Fire, e

618 435.50 Clearing by Fire and Reforestation

567.25

Subtotal 9087.21

UlianópolisID

Monitoring in the State ofRondônia (RO)

CabixiID Area (ha) Soy Soil Use and Occupation 2008


Subtotal 118.78

Pimenteiras do OesteID


Subtotal 554.15

VilhenaID Area (ha) Soy Soil Use and Occupation 2008

621 132.23 No

622 774.76


Deforestation

623 112.89

624 560.49

625 107.73

626 290.84


628 102.39

629 276.14

630 107.63

Subtotal 2801.29

Deforestation

Deforestation

Deforestation

Deforestation

Clearing by Fire

Clearing by Fire

Deforestation

No

No

No

No

No

No

No

No

No



No

No

No

No

No

No

No

Pasture


Clearing by Fire

FIE

LD

VIS

ITS R

EPO

RT

Leandro Fabiani (Agronomist)

Leandro Fabiani ( Agronomist)

Leandro Fabiani (Agronomist)

_ Coordinator

_ Coordinator

_ Technicians:

_ Technicians:

Andrei Maciel (Bachelor's degree in Information Systems)

TECHNICAL STAFF

1. GENERAL COORDINATION TO PERFORM THE AERIAL SURVEY AND COLLECT INFORMATION

2 .GEO-INFORMATION PROCESSING:

3. AERIAL SURVEY:

4. DATA COMPILATION AND TECHNICAL REPORT PREPARATION:

Adilson Pasini (Geo-Processing Technician)Rafael Galeano (Bachelor's Degree in Information Systems)Ricardo Candia (Image Processing Technician)Valter Tiago Oliveira (Geo-Processing Technician)

Edegar Paz (Photographer)Eduardo Dourado (Photographer)Jonathas Schultz (Pilot)Jonei Lima (Video Edition)Marcos de Almeida Castro (Video Camera) Valter Guimarães (Pilot)

SPONSORED BY

STTR de Santarém

MEMBERS OF GTS

TECHNICAL STUDYPERFORMED BY

BRAZILIAN ASSOCIATION OF VEGETABLE OIL INDUSTRIES

april 2009 report: 2o year of the amazon biome soy ... · 2o year of the amazon biome soy...

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