AMBIO

, Volume 42, Issue 1, pp 29–40 | Cite as

Contrasting Patterns of Urban Expansion in Colombia, Ecuador, Peru, and Bolivia Between 1992 and 2009

  • Nora L. Álvarez-Berríos
  • Isabel K. Parés-Ramos
  • T. Mitchell Aide
Report

Abstract

The global urban population is increasing rapidly, but patterns of urban expansion differ greatly among countries. Urban transition theory predicts that the shift from low to high urbanization depends on a country’s history and level of economic development. This study describes urban expansion in Colombia, Ecuador, Peru, and Bolivia between 1992 and 2009. Urban dynamics were analyzed by combining nighttime lights and census data from 4032 municipalities. High-lit areas (>52–63 pixel values) were correlated with urban populations across municipalities and years (R 2 > 0.90). Analyses showed that between 1992 and 2009 Bolivia and Ecuador had rapid population growth and rapidly increasing high-lit areas, while Peru and Colombia had lower rates of population growth and urbanization (i.e., expansion of high-lit areas). We demonstrate how nighttime lights can be a useful tool, providing a homogeneous platform for multi-scale analyses of urban growth.

Keywords

Andean countries Nighttime lights Population growth Urban expansion Urban transition 

Notes

Acknowledgments

This project was partially funded by a grant from the Coupled Natural and Human Systems program of the U.S. National Science Foundation (# 0709598). NSF Integrative Graduate Education and Research Traineeship Program (# 0801577), and NSF Graduate Research Fellowship Program provided financial support to N.A-B. The Land Tenure Center in UW-Madison facilitated access to data. We thank Daniel Redo, Sheila Ward, Serge Aucoin, and two anonymous reviewers for their helpful comments.

References

  1. Angel, S., J. Parent, D.L. Civco, A. Blei, and D. Potere. 2011. The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050. Progress in Planning 75: 53–107.CrossRefGoogle Scholar
  2. Arbona, J.M., and B. Kohl. 2004. City profile La Paz-El Alto. Cities 21: 255–265.CrossRefGoogle Scholar
  3. Balderrama, C., N. Tassi, A. Rubena, L. Aramayo, and I. Cazorla. 2011. Rural migration in Bolivia: The impact of climate change, economic crisis and state policy. Retrieved July 17, 2012, from http://pubs.iied.org/10568IIED.html.
  4. Bloom, D.E., D. Canning, and G. Fink. 2008. Urbanization and the wealth of nations. Science 319: 772–775.CrossRefGoogle Scholar
  5. Bocquier, P. 2005. World Urbanization Prospects: An alternative to the UN model of projection compatible with the mobility transition theory. Demographic Research 12: 197–236.CrossRefGoogle Scholar
  6. Carrión, D., and J. Vazconez. 2003. The case of Quito, Ecuador, UN-Habitat Global Report on Human Settlements, London, UK, 33 pp.Google Scholar
  7. Cerrutti, M., and R. Bertoncello. 2003. Urbanization and internal migration patterns in Latin America. Retrieved November 16, 2011, from http://pum.princeton.edu/pumconference/papers/1-cerrutti.pdf.
  8. CODHES. 2006. Consultancy for human rights and displacement. Retrieved November 17, 2011, from http://www.codhes.org (in Spanish).
  9. Coral, I. 1994. Displacement given political violence in Peru: 1980–1992. Institute for Peruvian Studies, Report 58, Lima, Peru (in Spanish).Google Scholar
  10. Cotlear, D. 2006. A new social contract for Peru: An agenda for improving education, health care, and the social safety net, 303 pp. Washington, DC: World Bank.Google Scholar
  11. DANE (National Department for Statistics, Colombia). 2011. http://www.dane.gov.co.
  12. DeFries, R.S., T. Rudel, M. Uriarte, and M.C. Hansen. 2010. Deforestation driven by urban population growth and agricultural trade in the twenty-first century. Nature Geoscience 3: 178–181.CrossRefGoogle Scholar
  13. Elvidge, C.D., V.R. Hobson, K.E. Baugh, J. Dietz, Y.E. Shimabukuro, T. Krug, E.M.L.M. Novo, and F.R. Echavarria. 2001. DMSP-OLS estimation of rainforest area impacted by ground fires in Roraima, Brazil: 1995 versus 1998. International Journal of Remote Sensing 22: 2661–2673.Google Scholar
  14. Etter, A., C. McAlpine, and H. Possingham. 2008. Historical patterns and drivers of landscape change in Colombia since 1500: A regionalized spatial approach. Annals of the Association of American Geographers 98: 2–23.CrossRefGoogle Scholar
  15. Fjeldså, J., M.D. Álvarez, J.M. Lazcano, and B. León. 2005. Illicit crops and armed conflict as constraints on biodiversity conservation in the Andes Region. AMBIO 34: 205–211.Google Scholar
  16. Galster, G., R. Hanson, M.R. Ratcliffe, H. Wolman, S. Coleman, and J. Freihage. 2001. Wrestling sprawl to the ground: Defining and measuring an elusive concept. Housing Policy Debate 12: 681–717.CrossRefGoogle Scholar
  17. Ghosh, T., R.L. Powell, C.D. Elvidge, K.E. Baugh, P.C. Sutton, and S. Anderson. 2010. Shedding light on the global distribution of economic activity. Geography 3: 148–161.Google Scholar
  18. Grimm, N.B., S.H. Faeth, N.E. Golubiewski, C.L. Redman, J. Wu, X. Bai, and J.M. Briggs. 2008. Global change and the ecology of cities. Science 319: 756–760.CrossRefGoogle Scholar
  19. Herold, M., and D.A. Roberts. 2010. The spectral dimension in urban remote sensing. In Remote sensing of urban and suburban areas, ed. T. Rashed, and C. Jürgens, 352 pp. London: Springer.Google Scholar
  20. IEA (International Energy Agency). 2011. http://www.worldenergyoutlook.org/.
  21. INE (National Institute of Statistics, Bolivia). 2011. http://www.ine.gob.bo.
  22. INEC (National Institute of Statistics and Census, Ecuador). 2011. http://www.inec.gov.ec.
  23. INEI (National Institute of Statistics and Informatics, Peru). 2011. http://www.inei.gob.pe/.
  24. Letu, H., M. Hara, G. Tana, and F. Nishio. 2012. A saturated light correction method for DMSP/OLS nighttime satellite imagery. IEEE Transactions on Geoscience and Remote Sensing 50: 389–396.CrossRefGoogle Scholar
  25. Liu, Z., C. He, Q. Zhang, Q. Huang, and Y. Yang. 2012. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008. Landscape and Urban Planning 106: 62–72.CrossRefGoogle Scholar
  26. Martine, G., G. McGranahan, M. Montgomery, and R. Fernández-Castilla (eds.). 2008. The new global frontier: Urbanization, poverty and environment in the 21st century. New York: Earthscan.Google Scholar
  27. Miller, G. 2010. Contraception as development? New evidence from family planning in Colombia. The Economic Journal 120: 709–736.CrossRefGoogle Scholar
  28. Montgomery, M.R. 2008. The urban transformation of the developing world. Science 319: 761–764.CrossRefGoogle Scholar
  29. NOAA. 2011. Global gas-flaring estimates 1994–2010. http://www.ngdc.noaa.gov/dmsp/interest/gas_flares.html.
  30. Oda, T., and S. Maksyutov. 2011. A very high-resolution global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics 11: 543–556.CrossRefGoogle Scholar
  31. Palacios, R. 2005. From Leguía to Fujimori: Trajectory of the political power in Peru 1919–2000. In Republican Peru, from San Martin to Fujimori, 144 pp. Lima: Fondo Editorial de la Universidad de Lima (in Spanish).Google Scholar
  32. Peek, P. 1980. Agrarian change and labour migration in the Sierra of Ecuador. International Labour Review 119: 609–621.Google Scholar
  33. Pereyra, O. 2009. Parallel cities: Urban form, urbanization and residential segregation in a Latin American city. Retrieved July 7, 2012, from http://www.centrodametropole.org.br/ISA2009/assets/papers/18.10.pdf.
  34. Riofrío, G. 2003. The case of Lima, Peru. Retrieved July 7, 2012, from http://www.ucl.ac.uk/dpu-projects/Global_Report/pdfs/Lima.pdf.
  35. Sánchez, L.M. 2007. Forced migration and urbanization in Colombia. Retrieved July 7, 2012 from http://www.uni-weimar.de/architektur/raum/doktoranden/sanchez_Migracion_forzada_urbanizacion_en_Colombia.pdf (in Spanish).
  36. Sarmiento, Y. 1999. Causes and evolution of the urban restoration by densification in Bogota. Bitácora 5: 21–35 (in Spanish).Google Scholar
  37. Seto, K.C., and R.K. Kaufmann. 2003. Modeling the drivers of urban land use change in the Pearl River Delta, China: Integrating remote sensing with socioeconomic data. Land Economics 79: 106–121.CrossRefGoogle Scholar
  38. Seto, K.C., M. Fragkias, B. Güneralp, and M.K. Reilly. 2011. A meta-analysis of global urban land expansion. PLoS ONE 6: e23777.CrossRefGoogle Scholar
  39. Sutton, P., D. Roberts, C. Elvidge, and K. Baugh. 2001. Census from Heaven: An estimate of the global human population using night-time satellite imagery. International Journal of Remote Sensing 22: 3061–3076.CrossRefGoogle Scholar
  40. Sutton, P.C., M.J. Taylor, and C.D. Elvidge. 2010. Using DMSP/OLS imagery to characterize urban populations in developed and developing countries. In Remote sensing of urban and suburban areas, ed. T. Rashed, and C. Jürgens, 352 pp. London: Springer.Google Scholar
  41. UN (United Nations). 2010. World urbanization prospects: The 2009 revision, New York.Google Scholar
  42. UN Statistics Division. 2010. National Accounts Main Aggregates. http://unstats.un.org/unsd/snaama/dnllist.asp.
  43. World Bank. 2012. World Bank development indicators. http://data.worldbank.org/indicator/.
  44. Zelinsky, W. 1983. The impasse in migration theory: A sketch map for potential escapees. In Population movements: Their forms and functions in urbanization and development, ed. P.A. Morrison, 351 pp. Belgium: Ordina.Google Scholar
  45. Zhang, Q., and K.C. Seto. 2011. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data. Remote Sensing of Environment 115: 2320–2329.CrossRefGoogle Scholar

Copyright information

© Royal Swedish Academy of Sciences 2012

Authors and Affiliations

  • Nora L. Álvarez-Berríos
    • 1
  • Isabel K. Parés-Ramos
    • 2
  • T. Mitchell Aide
    • 2
  1. 1.Department of Environmental SciencesUniversity of Puerto Rico-Río PiedrasSan JuanUSA
  2. 2.Department of BiologyUniversity of Puerto Rico-Río PiedrasSan JuanUSA

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