Cited by 149Agriculture, Land Use, Rural DevelopmentLand Use and Ecosystem ServicesRemote Sensing in Agriculture

Recent cropping frequency, expansion, and abandonment in Mato Grosso, Brazil had selective land characteristics

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Spera, Stephanie A, Cohn, Avery S, VanWey, Leah K, Mustard, Jack F, Rudorff, Bernardo F, Risso, Joel, Adami, Marcos·2014·Environmental Research Letters

Abstract

This letter uses satellite remote sensing to examine patterns of cropland expansion, cropland abandonment, and changing cropping frequency in Mato Grosso, Brazil from 2001 to 2011. During this period, Mato Grosso emerged as a globally important center of agricultural production. In 2001, 3.3 million hectares of mechanized agriculture were cultivated in Mato Grosso, of which 500 000 hectares had two commercial crops per growing season (double cropping). By 2011, Mato Grosso had 5.8 million hectares of mechanized agriculture, of which 2.9 million hectares were double cropped. We found these agricultural changes to be selective with respect to land attributes—significant differences ( p < 0.001) existed between the land attributes of agriculture versus non-agriculture, single cropping versus double cropping, and expansion versus abandonment. Many of the land attributes (elevation, slope, maximum temperature, minimum temperature, initial soy transport costs, and soil) that were associated with an increased likelihood of expansion were associated with a decreased likelihood of abandonment ( p < 0.001). While land similar to agriculture and double cropping in 2001 was much more likely to be developed for agriculture than all other land, new cropland shifted to hotter, drier, lower locations that were more isolated from agricultural infrastructure ( p < 0.001). The scarcity of high quality remaining agricultural land available for agricultural expansion in Mato Grosso could be contributing to the slowdown in agricultural expansion observed there over 2006 to 2011. Land use policy analyses should control for land scarcity constraints on agricultural expansion.

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Research works printed but not linked: 29

  1. Angelsen A 2010 Policies for reduced deforestation and their impact on agricultural production Proc. Natl Acad. Sci. USA 107 19639-44 · DOI
  2. Arima E Y, Richards P, Walker R and Caldas M M 2011 Statistical confirmation of indirect land use change in the Brazilian Amazon Environ. Res. Lett. 6 024010 · DOI · Paper page
  3. Arvor D, Jonathan M, Penello Meirelles M S, Dubreuil V and Durieux L 2011 Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil Int. J. Remote Sens. 32 7847-71 · DOI
  4. Arvor D, Meirelles M, Dubreuil V, Begue A and Shimabukuro Y E 2012 Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices Appl. Geogr. 32 702-13 · DOI · Paper page
  5. Barona E, Ramankutty N, Hyman G and Coomes O T 2010 The role of pasture and soybean in deforestation of the brazilian amazon Environ. Res. Lett. 5 024002 · DOI
  6. Brown J C, Kastens J H, Coutinho A C, de Castro Victoria D and Bishop C R 2013 Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data Remote Sens. Environ. 130 39-50 · DOI
  7. DeFries R, Herold M, Verchot L, Macedo M N and Shimabukuro Y 2013 Export-oriented deforestation in Mato Grosso: harbinger or exception for other tropical forests? Phil. Trans. R. Soc. 368 1619 · DOI
  8. Farrow A, Risinamhodzi K, Zingore S and Delve R J 2011 Spatially targeting the distribution of agricultural input stockists in malawi Agric. Syst. 104 694-702 · DOI
  9. Fearnside P M 2001 Soybean cultivation as a threat to the environment in Brazil Environ. Conserv. 28 23-38 · DOI · Paper page
  10. Fearnside P M 2005 Deforestation in brazillian amazonia: history, rates, and consequences Conserv. Biol. 19 680-8 · DOI
  11. Galford G L, Mustard J F, Melillo J, Gendrin A, Cerri C C and Cerri C E 2008 Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil Remote Sens. Environ. 112 576-87 · DOI
  12. Jasinski E, Morton D, DeFries R, Shimabukuro Y, Anderson L and Hansen M 2005 Physical landscape correlates of the expansion of mechanized agriculture in Mato Grosso, Brazil Earth Interact. 9 1-18 · DOI
  13. Klink C A and Machado R B 2005 Conservation of the Brazilian cerrado Conserv. Biol. 19 707-13 · DOI
  14. Macedo M N, DeFries R S, Morton D C and Stickler C M Galford G L and Shimabukuro Y E 2012 Decoupling of deforestation and soy production in the southern Amazon during the late 2000s Proc. Natl Acad. Sci. 109 1341-6 · DOI · Paper page
  15. Morton D, Defries R, Randerson J, Giglio L, Schroeder W and van Der Werf G 2008 Agricultural intensification increases deforestation fire activity in Amazonia Glob. Change Biol. 14 2262-75 · DOI
  16. Naylor R et al 2005 Agriculture: losing the links between livestock and land Science 310 1621-2 · DOI
  17. Nepstad D et al 2009 The end of deforestaton in the Brazilian Amazon Science 326 1350-1 · DOI · Paper page
  18. Nepstad D, Stickler C M and Almeida O T 2006 Globalization of the amazon soy and beef industries: opportunities for conservation Conserv. Biol. 20 1595-603 · DOI
  19. M, Lister D, Hulme M and Makin I 2002 A high-resolution data set of surface climate over global land areas Clim. Res. 21 1-25 · DOI
  20. Ray D K and Foley J A 2013 Increasing global crop harvest frequency: recent trends and future directions Environ. Res. Lett. 8 44041-50 · DOI
  21. Richards P D, Myers R J, Swinton S M and Walker R T 2012 Exchange rates, soybean supply response, and deforestation in South America Glob. Environ. Change 22 454-62 · DOI · Paper page
  22. Rudel T K, Defries R, Asner G P and Laurance W F 2009 Changing drivers of deforestation and new opportunities for conservation Conserv. Biol. 23 1396-405 · DOI
  23. Rudorff B F et al 2011 The soy moratorium in the Amazon biome monitored by remote sensing images Remote Sens. 3 185-202 · DOI · Paper page
  24. Rudorff B F et al 2012 Remote sensing images to detect soy plantations in the amazon biome-the Soy Moratorium Initiative Sustainability 4 1074-88 · DOI
  25. Sephar C R 1995 Impact of strategic genes on agricultural development in the Brazilian tropical savannahs Field Crop. Res. 41 141-6 · DOI
  26. Soares-Filho B et al 2010 Role of Brazilian Amazon protected areas in climate change mitigation Proc. Natl Acad. Sci. 107 10821-6 · DOI · Paper page
  27. Soares-Filho B S et al 2006 Modelling conservation in the Amazon basin Nature 440 520-3 · DOI
  28. VanWey L K, Spera S, de Sa R, Mahr D and Mustard J F 2013 Socioeconomic development and agricultural intensification in Mato Grosso Phil. Trans. R. Soc. 368 1619 · DOI
  29. Van Zyl J J 2001 The shuttle radar topography mission (SRTM): a breakthrough in remote sensing of topography Acta Astronaut. 48 559-65 · DOI

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Authors
Spera, S. A., Cohn, A. S., VanWey, L. K., Mustard, J. F., Rudorff, B. F., Risso, J., & Adami, M.
Affiliations
  • Brown University (US)
  • Tufts University (US)
  • Instituto Nacional de Pesquisas Espaciais (BR)
Corresponding author
Cohn, Avery S
Venue
Environmental Research Letters
Published
2014-05-01
Volume
9
Issue
6
Pages
064010
ISSN
1748-9326 (ISSN-L)
OpenAlex
W2008685682
Cited by
149
References
4
Citations by year
2026: 7 · 2025: 5 · 2024: 7 · 2023: 10 · 2022: 9 · 2021: 26 · 2020: 14 · 2019: 15 · 2018: 18 · 2017: 19 · 2016: 12 · 2015: 5 · 2014: 1
FWCI
42.31
Type
journal article
Language
en
Open access
Locations
  • Environmental Research Letters (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Goddard Space Flight Center
Topics
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture, Land Use, Rural Development
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
Keywords
cropland expansion, agricultural abandonment, double cropping, cropping frequency, land suitability, land scarcity, agricultural mechanization, agricultural land use change, Mato Grosso, elevation and slope, land use policy

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