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Articles

Using High-Resolution Remotely Sensed Data to Examine the Relationship Between Agriculture and Fertility in Mali

Literature Cited

  • Axinn, W., and J. Barber. 2003. Linking people and land use. In People and the environment, ed. J. Fox, R. R. Rindfuss, S. J. Walsh, and V. Mishra, 285–313. New York: Springer.
  • Axinn, W., and T. Fricke. 1996. Community context, women's natal kin ties, and demand for children: Macro–micro linkages in social demography. Rural Sociology 61 (2): 249–71.
  • Axinn, W., and D. Ghimire. 2011. Social organization, population, and land use. American Journal of Sociology 117 (1): 209–58.
  • Bailey, R., M. Jenike, P. Ellison, G. Bentley, A. Harrigan, and N. Peacock. 1992. The ecology of birth seasonality among agriculturalists in central Africa. Journal of Biosocial Science 24 (3): 393–412.
  • Bentley, G., T. Goldberg, and G. Jaslenska. 1993. The fertility of agricultural and non-agricultural traditional societies. Population Studies 47 (2): 269–81.
  • Biddlecom, A., W. Axinn, and J. Barber. 2005. Environmental effects on family size preferences and subsequent reproductive behavior in Nepal. Population and Environment 26 (3): 583–621.
  • Blaike, P., and H. Brookfield, eds. 1987. Land degradation and society. London and New York: Routledge & Kegan Paul.
  • Bongaarts, J. 1980. Does malnutrition affect fecundity? A summary of evidence. Science 208 (8): 564–69.
  • ———. 1993. The relative contributions of biological and behavioural factors in determining natural fertility: A demographer's perspective. In Biomedical and demographic determinants of reproduction, ed. R. Gray, H. Leridon, and A. Spira, 9–18. Oxford, UK: Clarendon.
  • ———. 2008. Fertility transitions in developing countries: Progress or stagnation? Studies in Family Planning 39 (2): 105–10.
  • Bongaarts, J., and M. Cain. 1981. Demographic responses to famine. In Famine, ed. K. M. Cahill, 44–59. New York: Orbis Books.
  • Caldwell, J. C., and P. Caldwell. 1992. Famine in Africa: A global perspective. In Mortality and society in sub-Saharan Africa, ed. E. van de Walle, G. Pison, and M. Sala-Diakandu, 367–90. Oxford, UK: Clarendon.
  • Castle, S. 2003. Factors influencing young Malians’ reluctance to use hormonal contraceptives. Studies in Family Planning 34 (3): 186–99.
  • Chen, L., S. Ahmed, M. Gesche, and W. Mosley. 1974. A prospective study of birth interval dynamics in rural Bangladesh. Population Studies 28 (2): 277–96.
  • Cohen, J. 1995. How many people can the earth support? New York: Norton.
  • The Demographic Health Surveys Program. 2006. Mali: Standard DHS, 2006. Rockville, MD: The DHS Program, ICF International. http://dhsprogram.com/what-we-do/survey/Survey-display-276.cfm (last accessed 29 April 2015).
  • Dixon-Mueller, R. 2008. How young is “too young”? Comparative perspectives on adolescent sexual, marital and reproductive transitions. Studies in Family Planning 39 (4): 247–62.
  • Ellison, P. T., C. Panter-Brick, S. F. Lipson, and M. T. O’Rourke. 1993. The ecological context of human ovarian function. Human Reproduction 8 (12): 2248–58.
  • Entwisle, B., J. B. Casterline, and H. Sayed. 1989. Villages as contexts for contraceptive behavior in rural Egypt. American Sociological Review 54:1019–34.
  • Entwisle, B., R. Rindfuss, S. Walsh, T. Evans, and S. Curran. 1997. Geographic information systems, spatial network analysis, and contraceptive choice. Demography 34 (2): 171–87.
  • Entwisle, B., S. Walsh, R. Rindfuss, and L. VanWey. 2005. Population and upland crop production in Nang Rong, Thailand. Population and Environment 26 (6): 449–70.
  • Fews Net. 2010. Mali livelihood zones. http://fews.net (last accessed 25 November 2013).
  • Findley, S. E. 1994. Does drought increase migration? A study of migration from rural Mali during the 1983–85 drought. International Migration Review 28 (3): 539–53.
  • Funk, C., J. Rowland, A. Adoum, G. Eilerts, and L. White. 2012. A climate trend analysis of Mali: U.S. Geological Survey Fact Sheet 2012–3105, U.S. Geological Survey, Washington, DC.
  • Gelman, A., and J. Hill. 2006. Data analysis using regression and multilevel/hierarchical models. London: Cambridge University Press.
  • Ghimire, D., and P. Mohai. 2005. Environmentalism and contraceptive use: How people in less developed settings approach environmental issues. Population and Environment 27 (1): 29–61.
  • Grace, K., G. Husak, L. Harrison, D. Pedreros, and J. Michaelsen. 2012. Using high resolution satellite imagery to estimate cropped area in Guatemala and Haiti. Applied Geography 32 (2): 433–40.
  • Gray, R. 1983. The impact of health and nutrition on natural fertility. In Determinants of fertility in developing countries, ed. R. A. Bulatao and R. D. Lee, 145–46. New York: Academic Press.
  • Heilig, G. K. 1997. Anthropogenic factors in land use change in China. Population and Development Review 23 (1): 139–68.
  • Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83 (1–2): 195–213.
  • Husak, G. J., M. T. Marshall, J. Michaelsen, D. Pedreros, C. Funk, and G. Galu. 2008. Crop area estimation using high and medium resolution satellite imagery in areas with complex topography. Journal of Geophysical Research 113:D14112.
  • Justice, C. O., E. Vermote, J. R. G. Townshend, R. Defries, D. P. Roy, D. K. Hall, V. V. Salomonson, et al. 1998. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing 36:1228–49.
  • Kidane, A. 1989. Demographic consequences of the 1984–1985 Ethiopian famine. Demography 26:515–22.
  • Lindstrom, D., and B. Berhanu. 1999. The impact of war, famine and economic decline on marital fertility in Ethiopia. Demography 36 (2): 247–61.
  • Marshall, M., G. Husak, J. Michaelsen, C. Funk, D. Pedreros, and A. Adoum. 2011. Testing a high resolution satellite interpretation technique for crop area monitoring in developing countries. International Journal of Remote Sensing 32 (23): 7997–8012.
  • McLafferty S. 2003. GIS and health care. Annual Review of Public Health 24 (1): 25–42.
  • Nanama, S., and E. Frongillo. 2012. Altered social cohesion and adverse psychological experiences with chronic food insecurity in the non-market economy and complex households in Burkina Faso. Social Science and Medicine 74 (3): 444–51.
  • Panter-Brick, C. 1996. Proximate determinants of birth seasonality and conception failure in Nepal. Population Studies 50:203–20.
  • Perz, S. 1997. The environment as a determinant of child mortality among migrants in frontier areas of Para and Rondonia, Brazil, 1980. Population and Environment 18 (3): 301–24.
  • Philibert, A., C. Tourigny, A. Coulibaly, and P. Fournier. 2013. Birth seasonality as a response to a changing rural environment (Kayes region, Mali). Journal of Biosocial Science 45 (4): 547–65.
  • Rosero-Bixby, L. 2004. Spatial access to health care in Costa Rica and its equity: A GIS-based study. Social Science & Medicine 58 (7): 1271–84.
  • Rudel, T. K. 1989. Population, development, and tropical deforestation: A cross national study. Rural Sociology 54 (5): 327–38.
  • Sastry, N. 1996. Community characteristics, individual and household attributes, and child survival in Brazil. Demography 33:211–29.
  • Sporton, D. 1999. Mixing methods in fertility research. The Professional Geographer 51 (1): 68–76.
  • Tappan, G., and M. McGahuey. 2007. Tracking environmental dynamics and agricultural intensification in southern Mali. Agricultural Systems 94 (1): 38–51.
  • Tatem, A., A. M. Noor, C. von Hagen, A. Di Gregorio, and S. I. Hay. 2007. High resolution settlement and population maps for low income nations: Combining land cover and national census in East Africa. PLoS One 2:e1298.
  • Trinitapoli, J., and S. Yeatman. 2011. Uncertainty and fertility in a generalized AIDS epidemic. American Sociological Review 76 (6): 935–54.
  • Tucker, C. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8 (2): 127–50.
  • Watmough, G. R., P. M. Atkinson, and C. W. Hutton. 2013. Predicting socioeconomic conditions from satellite sensor data in rural developing countries: A case study using female literacy in Assam, India. Applied Geography 44:192–200.

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