Brazil data - Deforestation and Land Use
Brazil data - Deforestation and Land Use
- Key facts
- Deforestation by biome (MapBiomas)
- Amazon deforestation (Prodes)
- Cerrado deforestation (Prodes)
- Atlantic Forest deforestation (MapBiomas)
- Pantanal deforestation (MapBiomas)
- Caatinga deforestation (MapBiomas)
- Pampa deforestation (MapBiomas)
- Legal Amazon deforestation (Prodes)
- Deforestation Alerts - DETER
- Pasture and Soy area
- Soy and Pasture deforestation by state
Key facts
- The annual deforestation rates in the Cerrado and Amazon biomes show similar total values since 2008. However, if considered the total area and the amount of natural vegetation that still exists in the biome, deforestation in the Cerrado can be considered up to 4 times higher than in Amazon;
- Deforestation rates in the Legal Amazon region have suffered drastic reductions since their peak in 2003 and 2004, however, the deforestation returned to rising after 2012;
- Much of the deforestation control observed after 2004 has been attributed to the PPCDAm program with the objective of controlling and preventing deforestation. In addition, private mechanisms, such as soy moratorium implemented in 2006, may have contributed to part of this reduction;
- The Cerrado also has a program to control and prevent deforestation, PPCerrado, now in its second phase. This program was responsible to create the TerraClass Cerrado, an initiative to map the land cover and land use types in the Cerrado biome;
- The uncertainties around the annual budget and the continuity of programs like PPCDAm and PPCerrado threaten government initiatives, like TerraClass. This reinforces the importance of nongovernmental initiatives such as MapBiomas;
- Deforestation alerts in the Legal Amazon region have been receiving great media attention given the strong increase in the number and area reported by the DETER monitoring system. However, it is important to keep in mind that alerts are surveillance instruments for law enforcement and their increase may, so far, only pointed out an expectation of increase in deforestation next year (2018/2019), officially measured by Prodes;
- Pasture areas in Amazon biome have maintained constant rates over recent years, which does not necessarily indicate a decrease in deforestation, but a potential massive replace of pasture areas created before 2008 for soybean plantations, mainly driven by the soy moratorium;
- In the Cerrado biome, the new soybean expansion frontiers are concentrated in the states of Tocantins, Piaui and Maranhao, three of the four states part of the Matopiba region (broadly known as the last Brazilian agricultural frontier). These states had their soybean areas mostly created after 2007. Much of this soy implementation takes place directly over native vegetation.
Deforestation by biome (MapBiomas)
Data source: MapBiomas - Beta version http://mapbiomas.org/
Time period: 1990 to 2017
About the data: Deforestation data for all Brazilian biomes mapped by the MapBiomas team. The current collection remains in beta version and it is not yet available for download as a map, according to MapBiomas “any use of this data should consider the limitations of a work under construction”, however, it’s already possible to check the values by year with different extents (e.g.: biomes, municipalities, and states). Even though the cover collection from MapBiomas presents the data from 1985 to 2018 a set of temporal filters was applied to ensure a better quality of the collection, results in the cut of the extremes years. This is the first standardized map of deforestation for the entire Brazilian country.
| Biome | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AMAZON | 14278 | 19394 | 22381 | 19056 | 22513 | 26175 | 24489 | 23463 | 22219 | 22346 | 20167 | 17005 | 22956 | 31484 | 27266 | 23864 | 21214 | 18748 | 15659 | 13374 | 10145 | 9961 | 9816 | 10725 | 10839 | 10985 | 13547 | 8326 |
| CERRADO | 27522 | 26903 | 28483 | 22684 | 22898 | 22992 | 19648 | 19037 | 16990 | 16168 | 16500 | 12510 | 13944 | 15848 | 18305 | 13016 | 10601 | 9406 | 15512 | 9312 | 7564 | 8865 | 10385 | 11167 | 9981 | 8660 | 8043 | 6951 |
| PAMPA | 2386 | 2045 | 1745 | 1575 | 1594 | 1421 | 1695 | 1599 | 1447 | 1106 | 992 | 1250 | 1123 | 1531 | 1724 | 758 | 774 | 534 | 1038 | 685 | 906 | 1111 | 1017 | 1135 | 882 | 717 | 332 | 232 |
| PANTANAL | 579 | 627 | 640 | 559 | 646 | 675 | 541 | 454 | 685 | 716 | 579 | 612 | 725 | 767 | 754 | 576 | 438 | 410 | 534 | 644 | 506 | 382 | 487 | 365 | 443 | 630 | 1036 | 714 |
| CAATINGA | 9643 | 8468 | 8611 | 6738 | 6675 | 5397 | 5002 | 5045 | 4670 | 3830 | 3537 | 2531 | 3538 | 3755 | 4262 | 3810 | 4004 | 3252 | 3897 | 3431 | 3078 | 3243 | 2940 | 2745 | 2394 | 2137 | 2626 | 1859 |
| ATLANTICFOREST | 3860 | 3907 | 2722 | 3135 | 3022 | 2444 | 2609 | 2421 | 2017 | 1977 | 1511 | 1290 | 1548 | 1923 | 1950 | 1735 | 1733 | 1435 | 1941 | 1578 | 1675 | 1471 | 1408 | 1573 | 1335 | 1268 | 1779 | 1240 |
| TOTAL | 58268 | 61344 | 64582 | 53747 | 57348 | 59104 | 53984 | 52019 | 48028 | 46143 | 43286 | 35198 | 43834 | 55308 | 54261 | 43759 | 38764 | 33785 | 38581 | 29024 | 23874 | 25033 | 26053 | 27710 | 25874 | 24397 | 27363 | 19322 |
*table values represents the area in km2
Amazon deforestation (Prodes)
Data source: Prodes - Inpe http://terrabrasilis.dpi.inpe.br/
Time period: 2008 to 2018
About the data: Annual deforestation rates in the Amazon Biome - Prodes is also available from 2000 to 2018 for the Legal Amazon extent - which includes some parts of the Cerrado and Pantanal Biome.
| States | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ACRE | 289 | 162 | 265 | 296 | 270 | 200 | 348 | 223 | 365 | 246 | 461 |
| AMAPÁ | 100 | 47 | 71 | 17 | 19 | 24 | 29 | 19 | 12 | 17 | 24 |
| AMAZONAS | 612 | 344 | 545 | 507 | 471 | 480 | 551 | 685 | 1002 | 1009 | 1062 |
| MARANHÃO | 732 | 454 | 246 | 174 | 117 | 159 | 139 | 111 | 129 | 150 | 93 |
| MATO GROSSO | 3112 | 720 | 681 | 919 | 704 | 1000 | 1012 | 1366 | 1313 | 1273 | 1363 |
| PARÁ | 5637 | 3558 | 3317 | 2510 | 1698 | 2098 | 1794 | 2282 | 2746 | 2564 | 2669 |
| RONDÔNIA | 1085 | 425 | 431 | 764 | 692 | 962 | 761 | 960 | 1193 | 1278 | 1225 |
| RORAIMA | 665 | 111 | 235 | 130 | 107 | 148 | 189 | 153 | 227 | 122 | 129 |
| TOCANTINS | 56 | 23 | 29 | 12 | 10 | 18 | 12 | 16 | 18 | 13 | 6 |
| TOTAL | 12288 | 5844 | 5820 | 5329 | 4088 | 5089 | 4835 | 5815 | 7005 | 6672 | 7032 |
*table values represents the area in km2
Cerrado deforestation (Prodes)
Data source: Prodes - Inpe http://terrabrasilis.dpi.inpe.br
Time period: 2000 to 2018
About the data: Annual/Biennial deforestation rates in the Cerrado Biome - Data are bianually from 2000 to 2012 and annually after this period. The annual representation of the bianually period is a result of the total deforestation divided by two.
* PARÁ and RONDÔNIA states were removed due to their low values, this is explained by the small portion of the states in the biome
| States | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BAHIA | 2285 | 2285 | 2700 | 2700 | 1800 | 1800 | 2010 | 2010 | 1209 | 1209 | 1524 | 1524 | 1562 | 1079 | 1335 | 782 | 783 | 697 |
| DISTRITO FEDERAL | 13 | 13 | 82 | 82 | 27 | 27 | 10 | 10 | 12 | 12 | 6 | 6 | 11 | 20 | 5 | 3 | 5 | 8 |
| GOIÁS | 6621 | 6621 | 6173 | 6173 | 2460 | 2460 | 1504 | 1504 | 1460 | 1460 | 973 | 973 | 1502 | 1182 | 1218 | 647 | 842 | 713 |
| MARANHÃO | 2304 | 2304 | 2846 | 2846 | 2376 | 2376 | 2833 | 2833 | 1694 | 1694 | 1432 | 1432 | 1591 | 1834 | 1656 | 1229 | 1481 | 1470 |
| MATO GROSSO | 5317 | 5317 | 6630 | 6630 | 2732 | 2732 | 1989 | 1989 | 1000 | 1000 | 1033 | 1033 | 1757 | 1010 | 1695 | 1165 | 1104 | 988 |
| MATO GROSSO DO SUL | 2829 | 2829 | 2349 | 2349 | 1581 | 1581 | 789 | 789 | 517 | 517 | 394 | 394 | 495 | 278 | 625 | 342 | 285 | 258 |
| MINAS GERAIS | 6458 | 6458 | 4729 | 4729 | 2791 | 2791 | 2152 | 2152 | 1357 | 1357 | 1472 | 1472 | 1953 | 1948 | 1198 | 329 | 512 | 471 |
| PARANÁ | 29 | 29 | 16 | 16 | 26 | 26 | 3 | 3 | 21 | 21 | 2 | 2 | 3 | 8 | 7 | 3 | 2 | 1 |
| PIAUÍ | 480 | 480 | 1119 | 1119 | 976 | 976 | 638 | 638 | 832 | 832 | 939 | 939 | 1326 | 1172 | 847 | 701 | 599 | 483 |
| SÃO PAULO | 183 | 183 | 210 | 210 | 214 | 214 | 56 | 56 | 72 | 72 | 24 | 24 | 43 | 50 | 25 | 3 | 4 | 15 |
| TOCANTINS | 2904 | 2904 | 3079 | 3079 | 2629 | 2629 | 1798 | 1798 | 1820 | 1820 | 1741 | 1741 | 2817 | 2243 | 3063 | 1587 | 1693 | 1530 |
| TOTAL | 29423 | 29423 | 29933 | 29933 | 17612 | 17612 | 13782 | 13782 | 9994 | 9994 | 9540 | 9540 | 13060 | 10824 | 11674 | 6791 | 7310 | 6634 |
*table values represents the area in km2
Atlantic Forest deforestation (MapBiomas)
| Biome | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ATLANTICFOREST | 3860 | 3907 | 2722 | 3135 | 3022 | 2444 | 2609 | 2421 | 2017 | 1977 | 1511 | 1290 | 1548 | 1923 | 1950 | 1735 | 1733 | 1435 | 1941 | 1578 | 1675 | 1471 | 1408 | 1573 | 1335 | 1268 | 1779 | 1240 |
*table values represents the area in km2
Pantanal deforestation (MapBiomas)
| Biome | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PANTANAL | 579 | 627 | 640 | 559 | 646 | 675 | 541 | 454 | 685 | 716 | 579 | 612 | 725 | 767 | 754 | 576 | 438 | 410 | 534 | 644 | 506 | 382 | 487 | 365 | 443 | 630 | 1036 | 714 |
*table values represents the area in km2
Caatinga deforestation (MapBiomas)
| Biome | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CAATINGA | 9643 | 8468 | 8611 | 6738 | 6675 | 5397 | 5002 | 5045 | 4670 | 3830 | 3537 | 2531 | 3538 | 3755 | 4262 | 3810 | 4004 | 3252 | 3897 | 3431 | 3078 | 3243 | 2940 | 2745 | 2394 | 2137 | 2626 | 1859 |
*table values represents the area in km2
Pampa deforestation (MapBiomas)
| Biome | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PAMPA | 2386 | 2045 | 1745 | 1575 | 1594 | 1421 | 1695 | 1599 | 1447 | 1106 | 992 | 1250 | 1123 | 1531 | 1724 | 758 | 774 | 534 | 1038 | 685 | 906 | 1111 | 1017 | 1135 | 882 | 717 | 332 | 232 |
*table values represents the area in km2
Legal Amazon deforestation (Prodes)
Data source: Prodes - Inpe http://www.obt.inpe.br/prodes/prodes_1988_2016n.htm Time period: 1988 to 2018
About the data: Annual deforestation rates in the Legal Amazon region - which includes some parts of the Cerrado and Pantanal Biome. Deforestation in 1988 = Average from 1977 to 1988 1993 and 1994 = Average from 1993 to 1994
| States | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ACRE | 620 | 540 | 550 | 380 | 400 | 482 | 482 | 1208 | 433 | 358 | 536 | 441 | 547 | 419 | 883 | 1078 | 728 | 592 | 398 | 184 | 254 | 167 | 259 | 280 | 305 | 221 | 309 | 264 | 372 | 257 | 444 |
| AMAZONAS | 1510 | 1180 | 520 | 980 | 799 | 370 | 370 | 2114 | 1023 | 589 | 670 | 720 | 612 | 634 | 885 | 1558 | 1232 | 775 | 788 | 610 | 604 | 405 | 595 | 502 | 523 | 583 | 500 | 712 | 1129 | 1001 | 1045 |
| AMAPÁ | 60 | 130 | 250 | 410 | 36 | 0 | 0 | 9 | 0 | 18 | 30 | 0 | 0 | 7 | 0 | 25 | 46 | 33 | 30 | 39 | 100 | 70 | 53 | 66 | 27 | 23 | 31 | 25 | 17 | 24 | 24 |
| MARANHÃO | 2450 | 1420 | 1100 | 670 | 1135 | 372 | 372 | 1745 | 1061 | 409 | 1012 | 1230 | 1065 | 958 | 1085 | 993 | 755 | 922 | 674 | 631 | 1271 | 828 | 712 | 396 | 269 | 403 | 257 | 209 | 258 | 265 | 253 |
| MATO.GROSSO | 5140 | 5960 | 4020 | 2840 | 4674 | 6220 | 6220 | 10391 | 6543 | 5271 | 6466 | 6963 | 6369 | 7703 | 7892 | 10405 | 11814 | 7145 | 4333 | 2678 | 3258 | 1049 | 871 | 1120 | 757 | 1139 | 1075 | 1601 | 1489 | 1561 | 1490 |
| PARÁ | 6990 | 5750 | 4890 | 3780 | 3787 | 4284 | 4284 | 7845 | 6135 | 4139 | 5829 | 5111 | 6671 | 5237 | 7510 | 7145 | 8870 | 5899 | 5659 | 5526 | 5607 | 4281 | 3770 | 3008 | 1741 | 2346 | 1887 | 2153 | 2992 | 2433 | 2744 |
| RONDÔNIA | 2340 | 1430 | 1670 | 1110 | 2265 | 2595 | 2595 | 4730 | 2432 | 1986 | 2041 | 2358 | 2465 | 2673 | 3099 | 3597 | 3858 | 3244 | 2049 | 1611 | 1136 | 482 | 435 | 865 | 773 | 932 | 684 | 1030 | 1376 | 1243 | 1316 |
| RORAIMA | 290 | 630 | 150 | 420 | 281 | 240 | 240 | 220 | 214 | 184 | 223 | 220 | 253 | 345 | 84 | 439 | 311 | 133 | 231 | 309 | 574 | 121 | 256 | 141 | 124 | 170 | 219 | 156 | 202 | 132 | 195 |
| TOCANTINS | 1650 | 730 | 580 | 440 | 409 | 333 | 333 | 797 | 320 | 273 | 576 | 216 | 244 | 189 | 212 | 156 | 158 | 271 | 124 | 63 | 107 | 61 | 49 | 40 | 52 | 74 | 50 | 57 | 58 | 31 | 25 |
| TOTAL | 21050 | 17770 | 13730 | 11030 | 13786 | 14896 | 14896 | 29059 | 18161 | 13227 | 17383 | 17259 | 18226 | 18165 | 21650 | 25396 | 27772 | 19014 | 14286 | 11651 | 12911 | 7464 | 7000 | 6418 | 4571 | 5891 | 5012 | 6207 | 7893 | 6947 | 7536 |
*table values represents the area in km2
Deforestation Alerts - DETER
Data source: Deter - INPE http://terrabrasilis.dpi.inpe.br/
Time period: Legal Amazon - 2016 to 2019
Cerrado - 2018 to 2019
About the data: According to INPE, DETER is an Alert system developed to support law enforcement. Information on areas should not be understood as a monthly deforestation rate. The official INPE number to measure the annual rate of clearcut deforestation in the Brazilian Legal Amazon has been provided since 1988 by the PRODES. A comparison between the percentual increase in months with a low number of reports and a high cloud cover should be avoided. In the graph below the Amazon was restricted to the same date extent of Cerrado. In a longer time series for Legal Amazon, however, it’s important to consider the different satellites used during the existence of the initiative. The satellite sensor has major implications in the final number.
Legal Amazon and Cerrado
| Region | 2018/05 | 2018/06 | 2018/07 | 2018/08 | 2018/09 | 2018/10 | 2018/11 | 2018/12 | 2019/01 | 2019/02 | 2019/03 | 2019/04 | 2019/05 | 2019/06 | 2019/07 | 2019/08 | 2019/09 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cerrado | 1984 | 1987 | 792 | 634 | 502 | 385 | 378 | 392 | 579 | 239 | 402 | 698 | 863 | 548 | 429 | 291 | 145 |
| Legal Amazon | 1234 | 1744 | 1684 | 1611 | 2788 | 1005 | 486 | 85 | 278 | 186 | 837 | 1011 | 935 | 1866 | 3982 | 4546 | 5352 |
*table values represents the area in km2
Pasture and Soy area
Pasture area
Data source: Lapig - UFG https://pastagem.org/atlas
Time period: 1985 to 2018 About the data: The Atlas of Brazilian Pasture describes the historical dynamic of the pasture cover in Brazil, from 1985 to 2018. The institution responsible for this mapping is the same in the MapBiomas project, but the data could be different in some biomes due to integration rules applied in the MapBiomas initiative. The platform offers additional information about the size of the cattle herd and the area of degraded pasture, among others.
| Biome | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Amazon | 89672 | 89448 | 105648 | 121581 | 132897 | 139328 | 145457 | 156405 | 170242 | 190002 | 212414 | 230434 | 247308 | 264784 | 283687 | 305079 | 319509 | 338644 | 359746 | 377689 | 394089 | 412035 | 424390 | 435250 | 441330 | 445518 | 443864 | 442219 | 441524 | 443269 | 444887 | 450723 | 452320 | 457300 |
| Atlantic Forest | 438118 | 437915 | 443900 | 450002 | 453229 | 455166 | 457807 | 457342 | 455754 | 452337 | 448640 | 445234 | 442477 | 440925 | 440777 | 441168 | 436800 | 430535 | 420182 | 412282 | 402908 | 395246 | 384989 | 377076 | 371664 | 366944 | 361772 | 358374 | 353112 | 348626 | 346632 | 345173 | 343878 | 343080 |
| Caatinga | 139318 | 138479 | 143511 | 149673 | 152542 | 158225 | 165454 | 172710 | 176151 | 178243 | 177261 | 178176 | 181504 | 187510 | 193366 | 198154 | 198558 | 200307 | 201018 | 201733 | 203501 | 205130 | 206189 | 208062 | 205373 | 209090 | 212052 | 218227 | 224113 | 233371 | 232407 | 232551 | 234345 | 234315 |
| Cerrado | 393717 | 396654 | 421661 | 443830 | 461123 | 475413 | 485917 | 496941 | 507152 | 516502 | 526952 | 534621 | 540620 | 546536 | 552430 | 558336 | 559335 | 562177 | 561405 | 562874 | 565094 | 569493 | 570314 | 569830 | 563206 | 558751 | 552876 | 545318 | 539219 | 540288 | 542305 | 546108 | 547679 | 559050 |
| Pampa | 87607 | 88237 | 88902 | 89360 | 89403 | 88651 | 88366 | 87932 | 88012 | 89147 | 90335 | 89860 | 89066 | 87291 | 84876 | 83640 | 82799 | 81205 | 79600 | 78657 | 78497 | 78022 | 77564 | 76408 | 74842 | 72535 | 70582 | 67750 | 65467 | 63697 | 62020 | 61150 | 61046 | 60617 |
| Pantanal | 29130 | 30000 | 32193 | 33429 | 34221 | 34489 | 33142 | 30686 | 30520 | 30260 | 30336 | 30294 | 31733 | 30898 | 31439 | 32600 | 32504 | 33690 | 35810 | 37676 | 38867 | 39748 | 40096 | 41286 | 40318 | 38509 | 38471 | 37626 | 36880 | 36903 | 37195 | 37202 | 37661 | 42700 |
| Total | 1177562 | 1180733 | 1235815 | 1287875 | 1323415 | 1351272 | 1376143 | 1402016 | 1427831 | 1456491 | 1485938 | 1508619 | 1532708 | 1557944 | 1586575 | 1618977 | 1629505 | 1646558 | 1657761 | 1670911 | 1682956 | 1699674 | 1703542 | 1707912 | 1696733 | 1691347 | 1679617 | 1669514 | 1660315 | 1666154 | 1665446 | 1672907 | 1676929 | 1697062 |
*table values represents the area in km2
Soy area
Data source: Agrosatelite - https://agrosatelite.com.br/
Time period: Amazon biome: 2001, 2007, 2010, 2015 and 2017
Cerrado biome: 2001, 2007, 2014 and 2017
About the data: The soy crops were mapped using two complementary satellites, Landsat and Modis images. The final maps represent the extension of the soy area in Amazon and the Cerrado biome. The same method was also applied to detect and quantify the extension of other annual crops, even though we are plotting in the graph below only the soy area.
| Biome | 2001 | 2007 | 2010 | 2014 | 2015 | 2017 |
|---|---|---|---|---|---|---|
| Amazon | 3685 | 14573 | 21403 | NA | 40687 | 45871 |
| Cerrado | 93085 | 122981 | NA | 174278 | NA | 170673 |
*table values represents the area in km2
Amazon soy area by state
| UF | 2001 | 2007 | 2010 | 2015 | 2017 |
|---|---|---|---|---|---|
| AMAPÁ | NA | 4 | 18 | 123 | 190 |
| MARANHÃO | NA | 23 | 22 | 449 | 985 |
| MATO GROSSO | 3402 | 12974 | 18941 | 33867 | 37063 |
| PARÁ | 72 | 758 | 1221 | 3599 | 4503 |
| RONDÔNIA | 191 | 734 | 1147 | 2225 | 2568 |
| RORAIMA | 20 | 68 | 39 | 266 | 345 |
| TOCANTINS | NA | 12 | 15 | 158 | 217 |
| TOTAL | 3685 | 14573 | 21403 | 40687 | 45871 |
*table values represents the area in km2
Cerrado soy area by state
| UF | 2001 | 2007 | 2014 | 2017 |
|---|---|---|---|---|
| BAHIA | 8264 | 12214 | 20363 | 16274 |
| DISTRITO FEDERAL | 588 | 772 | 973 | 886 |
| GOIÁS | 21389 | 27714 | 37317 | 36445 |
| MARANHÃO | 2304 | 4620 | 7373 | 7485 |
| MATO GROSSO | 35035 | 44630 | 57191 | 56306 |
| MATO GROSSO DO SUL | 8189 | 10474 | 14228 | 16529 |
| MINAS GERAIS | 10173 | 12687 | 17102 | 15315 |
| PARANÁ | 778 | 918 | 945 | 795 |
| PIAUÍ | 625 | 2491 | 7196 | 6534 |
| SÃO PAULO | 4944 | 3670 | 4638 | 4964 |
| TOCANTINS | 796 | 2791 | 6952 | 9140 |
| TOTAL | 93085 | 122981 | 174278 | 170673 |
*table values represents the area in km2
Soy and Pasture deforestation by state
Cattle deforestation
Data source: Trase http://trase.earth
Time period: 2016 and 2017
About the data: Cattle deforestation is the area of deforestation caused by pasture expansion. Deforestation is considered as “cattle deforestation” if pasture is detected within five years of land being deforested (and soy is not then detected on that land within the five-year period, in which case it is “soy deforestation”). Calculated using a five-year cattle lifecycle (i.e. 2017 figures are calculated from pasture expansion in 2013-2017), to account for cattle living multiple years.
| States | 2015 | 2016 |
|---|---|---|
| ACRE | 55 | 55 |
| AMAZONAS | 200 | 341 |
| BAHIA | 47 | 48 |
| GOIÁS | 118 | 77 |
| MARANHÃO | 146 | 130 |
| MATO GROSSO | 515 | 481 |
| MATO GROSSO DO SUL | 41 | 47 |
| MINAS GERAIS | 76 | 40 |
| PARÁ | 407 | 481 |
| PIAUÍ | 3 | 6 |
| RONDÔNIA | 343 | 372 |
| RORAIMA | 16 | 29 |
| TOCANTINS | 352 | 178 |
| TOTAL | 2319 | 2285 |
*table values represents the area in km2
Soy deforestation
Data source: Agrosatelite - Trase http://trase.earth
Time period: 2002 to 2016
About the data: Average annual deforestation for the past 5 years due to conversion for soy. Calculated by crossing per-pixel annual deforestation alerts and soy crop maps, includes a minimum one-year time lag between detected deforested area and soy export.
| States | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ACRE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ALAGOAS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| AMAPÁ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| AMAZONAS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| BAHIA | 406 | 598 | 598 | 139 | 139 | 613 | 613 | 318 | 318 | 405 | 405 | 184 | 153 | 70 | 10 |
| CEARÁ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| DISTRITO FEDERAL | 4 | 5 | 5 | 3 | 3 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| ESPÍRITO SANTO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| GOIÁS | 316 | 242 | 242 | 61 | 61 | 68 | 68 | 61 | 61 | 45 | 45 | 69 | 90 | 63 | 33 |
| MARANHÃO | 271 | 369 | 371 | 76 | 73 | 343 | 343 | 143 | 144 | 170 | 171 | 126 | 239 | 152 | 43 |
| MATO GROSSO | 1922 | 2467 | 1656 | 121 | 51 | 275 | 245 | 105 | 187 | 201 | 158 | 149 | 132 | 160 | 39 |
| MATO GROSSO DO SUL | 37 | 35 | 35 | 12 | 12 | 14 | 14 | 10 | 10 | 6 | 6 | 13 | 21 | 27 | 6 |
| MINAS GERAIS | 193 | 108 | 108 | 33 | 33 | 39 | 39 | 34 | 34 | 24 | 24 | 23 | 42 | 23 | 11 |
| PARÁ | 13 | 15 | 25 | 7 | 2 | 13 | 9 | 3 | 19 | 11 | 20 | 4 | 4 | 13 | 8 |
| PARANÁ | 5 | 4 | 4 | 4 | 4 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 1 |
| PERNAMBUCO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| PIAUÍ | 118 | 247 | 247 | 66 | 66 | 218 | 218 | 302 | 302 | 476 | 476 | 248 | 181 | 89 | 33 |
| RIO DE JANEIRO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| RIO GRANDE DO NORTE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| RIO GRANDE DO SUL | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| RONDÔNIA | 5 | 17 | 7 | 4 | 0 | 2 | 2 | 1 | 7 | 3 | 1 | 1 | 3 | 7 | 3 |
| RORAIMA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| SANTA CATARINA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| SÃO PAULO | 6 | 3 | 3 | 2 | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 2 | 1 | 1 | 0 |
| SERGIPE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| TOCANTINS | 143 | 297 | 297 | 102 | 102 | 166 | 167 | 116 | 116 | 192 | 192 | 236 | 326 | 244 | 79 |
| TOTAL | 3439 | 4407 | 3598 | 630 | 548 | 1754 | 1721 | 1097 | 1202 | 1533 | 1498 | 1056 | 1193 | 852 | 266 |
*table values represents the area in km2