Land cover changes in the Brazilian Cerrado and Caatinga biomes from 1990 to 2010 based on a systematic remote sensing sampling approach

Achard, 2014, Determination of tropical deforestation rates and related carbon losses from 1990 to 2010, Global Change Biology, 20, 2540, 10.1111/gcb.12605

Achard, 2002, Determination of deforestation rates of the world's humid tropical forests, Science (New York, N.Y.), 297, 999, 10.1126/science.1070656

Aide, 2012, Deforestation and reforestation of Latin America and the Caribbean (2001–2010), Biotropica, 1

Barreda-Bautista, 2011, Tropical dry forests in the global picture: the challenge of remote sensing-based change detection in tropical dry environments, 231

Bellot, 2014

Beuchle, 2011, A satellite data set for tropical forest area change assessment, International Journal of Remote Sensing, 32, 7009, 10.1080/01431161.2011.611186

Bodart, 2013, Continental estimates of forest cover and forest cover changes in the dry ecosystems of Africa between 1990 and 2000, Journal of Biogeography, 40, 1036, 10.1111/jbi.12084

Bodart, 2011, Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics, ISPRS Journal of Photogrammetry and Remote Sensing, 66, 555, 10.1016/j.isprsjprs.2011.03.003

Bontemps, 2012, Revisiting land cover observation to address the needs of the climate modeling community, Biogeosciences, 9, 2145, 10.5194/bg-9-2145-2012

Brannstrom, 2008, Land change in the Brazilian savanna (Cerrado), 1986–2002: comparative analysis and implications for land-use policy, Land Use Policy, 25, 579, 10.1016/j.landusepol.2007.11.008

Brink, 2009, Monitoring 25 years of land cover change dynamics in Africa: a sample based remote sensing approach, Applied Geography, 29, 501, 10.1016/j.apgeog.2008.10.004

Castelletti, 2003, Quanto ainda resta da Caatinga?, 91

Coelho, 2014, Dinâmica do uso e ocupação do solo em uma bacia hidrográfica do semiárido brasileiro, Revista Brasileira de Engenharia Agrícola e Ambiental, 18, 64, 10.1590/S1415-43662014000100009

CSR/IBAMA, 2014

Eiten, 1977, Delimitação do conceito de Cerrado, Arquivos do Jardim Botânico, 21, 125

Eva, 2012, Forest cover changes in tropical South and Central America from 1990 to 2005 and related carbon emissions and removals, Remote Sensing, 4, 1369, 10.3390/rs4051369

FAO, 1998

FAO, 2012

Fearnside, 2001, Soybean cultivation as a threat to the environment in Brazil, Environmental Conservation, 28, 23, 10.1017/S0376892901000030

Grecchi, 2014, Land use and land cover changes in the Brazilian Cerrado: a multidisciplinary approach to assess the impacts of agricultural expansion, Applied Geography, 55, 300, 10.1016/j.apgeog.2014.09.014

Gutman, 2013, Assessment of the NASA–USGS global land survey (GLS) datasets, Remote Sensing of Environment, 134, 249, 10.1016/j.rse.2013.02.026

Hansen, 2014, Response to comment on “High-resolution global maps of 21st-century forest cover change”, Science, 344, 981, 10.1126/science.1248817

Hansen, 2013, High-resolution global maps of 21st-century forest cover change, Science, 342, 850, 10.1126/science.1244693

Hansen, 2008, Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data, Proceedings of the National Academy of Sciences of the United States of America, 105, 9439, 10.1073/pnas.0804042105

Hoekstra, 2004, Confronting a biome crisis: global disparities of habitat loss and protection, Ecology Letters, 8, 23, 10.1111/j.1461-0248.2004.00686.x

IBGE, 1993

IBGE, 2004

INPE

Jensen, 2005

Klink, 2005, Conservation of the Brazilian Cerrado, Conservation Biology, 19, 707, 10.1111/j.1523-1739.2005.00702.x

Lapola, 2013, Pervasive transition of the Brazilian land-use system, Nature Climate Change, 4, 27, 10.1038/nclimate2056

Leal, 2005, Changing the course of biodiversity conservation in the caatinga of northeastern Brazil, Conservation Biology, 19, 701, 10.1111/j.1523-1739.2005.00703.x

Liu, 2008, Simulating remotely sensed imagery for classification evaluation, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 299

Lunetta, 2002, Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA, Remote Sensing of Environment, 82, 258, 10.1016/S0034-4257(02)00042-1

Machado, 2004, Estimativas de perda da área do Cerrado brasileiro. Relatório técnico não publicado, Conservação Internacional

Mantovani, 1998, Estimativa da Integridade da Cobertura Vegetal de Cerrado Através de Dados TM/Landsat, 1455

Mayaux, 2005, Tropical forest cover change in the 1990s and options for future monitoring, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360, 373, 10.1098/rstb.2004.1590

MMA, 2007

MMA, 2011

MMA, 2014

MMA. (n.d.). PROBIO – Projeto de Conservação e utilização sustentável da diversidade biológica brasileira. Subprojeto – levantamento da cobertura vegetal e do uso do solo do bioma Caatinga. Relatório Final. Available at http://mapas.mma.gov.br/geodados/brasil/vegetacao/vegetacao2002/caatinga/documentos/relatorio_final.pdf Accessed 21.09.014.

MMA-IBAMA, 2009

MMA-IBAMA, 2010

MMA-IBAMA, 2011

MMA-IBAMA, 2011

MMA-IBAMA, 2011

Monge, 2002

Myers, 2000, Biodiversity hotspots for conservation priorities, Nature, 403, 853, 10.1038/35002501

Pennington, 2006, An overview of the plant diversity, biogeography and conservation of neotropical savannas and seasonally dry forests, 1

Portillo-Quintero, 2010, Extent and conservation of tropical dry forests in the Americas, Biological Conservation, 143, 144, 10.1016/j.biocon.2009.09.020

Potapov, 2011, The global Landsat imagery database for the FAO FRA remote sensing survey, International Journal of Digital Earth, 4, 2, 10.1080/17538947.2010.492244

Prado, 2003, As caatingas da América do Sul

Puyravaud, 2003, Standardizing the calculation of the annual rate of deforestation, Forest Ecology and Management, 177, 593, 10.1016/S0378-1127(02)00335-3

Queiroz, 2006, The Brazilian caatinga: phytogeographical patterns inferred from distribution data of the Leguminosae, 122

Raši, 2013, Automatic updating of an object-based tropical forest cover classification and change assessment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 66, 10.1109/JSTARS.2012.2217733

Raši, 2011, An automated approach for segmenting and classifying a large sample of multi-date Landsat imagery for pan-tropical forest monitoring, Remote Sensing of Environment, 115, 3659, 10.1016/j.rse.2011.09.004

Ratter, 1997, The Brazilian Cerrado vegetation and threats to its biodiversity, Annals of Botany, 80, 223, 10.1006/anbo.1997.0469

Redo, 2013, Vegetation change in Brazil's dryland ecoregions and the relationship to crop production and environmental factors: Cerrado, Caatinga, and Mato Grosso, 2001–2009, Journal of Land Use Science, 8, 123, 10.1080/1747423X.2012.667448

Ridder, 2007, 68

Rocha, 2011, Detecção de Desmatamentos no Bioma Cerrado entre 2002 e 2009: Padrões, Tendências e Impactos, Revista Brasileira de Cartografia, 63, 341

Rodal, 2006, The arboreal component of a dry forest in northeastern Brazil, Brazilian Journal of Biology, 66, 479, 10.1590/S1519-69842006000300014

Sampaio, 2005, Biomass equations for Brazilian semiarid caatinga plants, Acta Botanica Brasilica, 19, 935, 10.1590/S0102-33062005000400028

Sano, 2000, Assessing the spatial distribution of cultivated pastures in the Brazilian savanna, Pasturas Tropicales, 22, 2

Sano, 2005, Monitoramento semidetalhado (escala de 1:250.000) de ocupação de solos do Cerrado: considerações e proposta metodológica, 3309

Sano, 2007, 33

Sano, 2010, Land cover mapping of the tropical savanna region in Brazil, Environmental Monitoring and Assessment, 166, 113, 10.1007/s10661-009-0988-4

Santos, 2011, Caatinga: the scientific negligence experienced by a dry tropical forest, Tropical Conservation Science, 4, 276, 10.1177/194008291100400306

Särndal, 1992

Silva, 2006, Spatial heterogeneity, land use and conservation in the Cerrado region of Brazil, Journal of Biogeography, 33, 536, 10.1111/j.1365-2699.2005.01422.x

Strahler, 2006

Tropek, 2014, Comment on “High-resolution global maps of 21st-century forest cover change”, Science, 344, 2013, 10.1126/science.1248753

Vieira, 2013, Land use and land cover map of a semiarid region of Brazil for meteorological and climatic models, Revista Brasileira de Meteorologia, 28, 129, 10.1590/S0102-77862013000200002