Abstract
Soil moisture reflects the amount of water available to crops in the top layer of soil. As such, considering soil moisture provides important insight into water availability and ultimately crop yields in agricultural settings. In studies of climate change, food security, and health, however, soil moisture is rarely empirically considered despite its connection to crop health and yields. In this project, we aim to advance understanding of climate impacts on food security by incorporating soil moisture into quantitative models of child health. Combining spatially referenced health survey data from the Demographic and Health Surveys for 2005 and 2010 in Senegal and 2007, 2011, and 2014 in Bangladesh, with soil moisture data from the Famine Early Warning System Network Land Data Assimilation System, we explore the linkages between sub-annual and sub-seasonal climate conditions and child malnutrition in two rainfed agriculture dependent countries—Bangladesh and Senegal. Results suggest that soil moisture, measured on very short time scales, may be associated with reductions in anthropometric weight-for-height z-scores, but the relationship is highly dependent upon geographic context.
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Data availability
The DHS data is publically available at https://dhsprogram.com/data/. Soil moisture and NDVI data are publically available at https://www.earthdata.nasa.gov/.
References
Ademe, D., Zaitchik, B. F., Tesfaye, K., Simane, B., Alemayehu, G., & Adgo, E. (2021). Analysis of agriculturally relevant rainfall characteristics in a tropical highland region: an agroecosystem perspective. Agricultural and Forest Meteorology, 311(November), 108697. https://doi.org/10.1016/j.agrformet.2021.108697
Aguayo, V. M. (2017). Complementary feeding practices for infants and young children in South Asia. A review of evidence for action post-2015. Maternal & Child Nutrition, 13, e12439. https://doi.org/10.1111/mcn.12439
Akresh, R., Verwimp, P., & Bundervoet, T. (2011). Civil war, crop failure, and child stunting in Rwanda. Economic Development and Cultural Change, 59(4), 777–810.
Alderman, H., & Headey, D. (2018). The timing of growth faltering has important implications for observational analyses of the underlying determinants of nutrition outcomes. PLOS ONE, 13(4), e0195904. https://doi.org/10.1371/journal.pone.0195904
Assogba, G. G. C., Adam, M., Berre, D., & Descheemaeker, K. (2022). Managing biomass in semi-arid Burkina Faso: strategies and levers for better crop and livestock production in contrasted farm systems. Agricultural Systems, 201(103458). https://doi.org/10.2139/ssrn.4005268
Bakhtsiyarava, M., Grace, K., & Nawrotzki, R. J. (2018). Climate, birth weight, and agricultural livelihoods in Kenya and Mali, 108, 144–151. https://doi.org/10.2105/AJPH.2017.304128
Bala, S. K., & Islam, A. S. (2009). Correlation between potato yield and MODIS-derived vegetation indices. International Journal of Remote Sensing, 30(10), 2491–2507. https://doi.org/10.1080/01431160802552744
Balk, D., Storeygard, A., Levy, M., Gaskell, J., Sharma, M., & Flor, R. (2005). Child hunger in the developing world: An analysis of environmental and social correlates. Food Policy, 30, 584–611. https://doi.org/10.1016/j.foodpol.2005.10.007
Barrett, C. B. (2010). Measuring food insecurity. Science, 327(5967), 825–828. https://doi.org/10.1126/science.1182768
Black, R. E., Victora, C. G., Walker, S. P., Bhutta, Z. A., Christian, P., De Onis, M., & Uauy, R. (2013). Maternal and child undernutrition and overweight in low-income and middle-income countries. The Lancet, 382(9890), 427–451. https://doi.org/10.1016/S0140-6736(13)60937-X
Boyle, E. H., King, M., & Sobek, M. (2022). IPUMS-Demographic and Health Surveys: Version 9. IPUMS and ICF International. https://doi.org/10.18128/D080.V9
Brown, M. E., & Kshirsagar, V. (2015). Weather and international price shocks on food prices in the developing world. Global Environmental Change, 35, 31–40. https://doi.org/10.1016/j.gloenvcha.2015.08.003
Brown, M. E., Backer, D., Billing, T., White, P., Grace, K., Doocy, S., & Huth, P. (2020). Empirical studies of factors associated with child malnutrition: Highlighting the evidence about climate and conflict shocks. Food Security, 12(6), 1241–1252. https://doi.org/10.1007/s12571-020-01041-y
Brown, M. E., De Beurs, K. M., & Grace, K. (2015). Global land surface phenology and implications for food security. Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, (Fao 2012), 353–363. https://doi.org/10.1201/b19322
Brown, M. E., Grace, K., Shively, G., Johnson, K. B., & Carroll, M. (2014). Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment, 36(1), 48–72. https://doi.org/10.1007/s11111-013-0201-0
Burgert, C. R., Colston, J., Roy, T., & Zachary, B. (2013). Geographic displacement procedure and georeferenced data release policy for the demographic and health surveys (7; DHS Spatial Analysis Report). USAID.
Chotard, S., Mason, J. B., Oliphant, N. P., Mebrahtu, S., & Hailey, P. (2011). Fluctuations in wasting in vulnerable child populations in the Greater Horn of Africa. Food and Nutrition Bulletin, 32(3 SUPPL.), 219–233. https://doi.org/10.1177/15648265100313s302
Cooper, M., Brown, M. E., Azzarri, C., & Meinzen-Dick, R. (2019). Hunger, nutrition, and precipitation: Evidence from Ghana and Bangladesh. Population and Environment, 41(2), 151–208. https://doi.org/10.1007/s11111-019-00323-8
Davenport, F., Grace, K., Funk, C., & Shukla, S. (2017). Child health outcomes in sub-Saharan Africa: a comparison of changes in climate and socio-economic factors. Global Environmental Change, 46(September 2016), 72–87. https://doi.org/10.1016/j.gloenvcha.2017.04.009
Davenport, F. M., Shukla, S., Turner, W., Funk, C., Krell, N., Harrison, L., Peterson, S. (2021). Sending out an SOS: using start of rainy season indicators for market price forecasting to support famine early warning. Environmental Research Letters, 16(8). https://doi.org/10.1088/1748-9326/ac15cc
De Camargo, M. B., & Hubbard, K. G. (1999). Drought sensitivity indices for a Sorghum crop. Journal of Production Agriculture, 12(2), 312–316. https://doi.org/10.2134/jpa1999.0312
De Sherbinin, A. (2011). The biophysical and geographical correlates of child malnutrition in Africa. Population, Space and Place, 17(1), 27–46. https://doi.org/10.1002/psp.599
Di Prima, S., Wright, E. P., Sharma, I. K., Syurina, E., & Broerse, J. E. W. (2022). Implementation and scale-up of nutrition-sensitive agriculture in low- and middle-income countries: a systematic review of what works, what doesn’t work and why. Global Food Security, 32, 100595. https://doi.org/10.1016/j.gfs.2021.100595
Dos Santos, S., & Henry, S. (2008). Rainfall variation as a factor in child survival in rural Burkina Faso: The benefit of an event-history analysis. Population, Space and Place, 14(1), 1–20. https://doi.org/10.1002/psp.470
Easterling, W. E., Aggarwal, P. K., Batima, P., Brander, K. M., Erda, L., Howden, S. M., Kirilenko, A. , Morton, J., Soussana, J.-F., Schmidhuber, J., & Tubiello, F. N. (2007). Food, fibre and forest products. In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, & C. E. Hanson (Eds.), Climate change 2007: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 273–313). Cambridge, UK: Cambridge University Press.
Eggen, M., Ozdogan, M., Zaitchik, B., Ademe, D., Foltz, J., & Simane, B. (2019). Vulnerability of sorghum production to extreme, sub-seasonal weather under climate change. Environmental Research Letters, 14(045005), 1–10.
Faisal, B. M. R., Rahman, H., Sharifee, N. H., Sultana, N., Islam, M. I., & Ahammad, T. (2019). Remotely sensed boro rice production forecasting using MODIS-NDVI: A Bangladesh perspective. AgriEngineering, 1(3), 356–375. https://doi.org/10.3390/agriengineering1030027
Fensholt, R., Sandholt, I., & Rasmussen, M. S. (2004). Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91(3–4), 490–507. https://doi.org/10.1016/j.rse.2004.04.009
FEWSNET. (2022). Senegal crop calendar. Retrieved from https://fews.net/west-africa/senegal
Frelat, R., Lopez-Ridaura, S., Giller, K. E., Herrero, M., Douxchamps, S., Djurfeldt, A. A., & Van Wijk, M. T. (2016). Drivers of household food availability in sub-Saharan Africa based on big data from small farms. Proceedings of the National Academy of Sciences of the United States of America, 113(2), 458–463. https://doi.org/10.1073/pnas.1518384112
Funk, C., & Budde, M. E. (2009). Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe. Remote Sensing of Environment, 113, 115–125. https://doi.org/10.1016/j.rse.2008.08.015
Grace, K., Brown, M., & McNally, A. (2014). Examining the link between food prices and food insecurity: A multi-level analysis of maize price and birthweight in Kenya. Food Policy, 46, 56–65. https://doi.org/10.1016/j.foodpol.2014.01.010
Grace, K., Davenport, F., Funk, C., & Lerner, A. M. (2012). Child malnutrition and climate in Sub-Saharan Africa: An analysis of recent trends in Kenya. Applied Geography, 35(1–2), 405–413. https://doi.org/10.1016/j.apgeog.2012.06.017
Grace, K., Nagle, N. N., & Husak, G. (2016). Can small-scale agricultural production improve children’s health? Examining stunting vulnerability among very young children in Mali, West Africa. Annals of the American Association of Geographers, 106(3), 722–737. https://doi.org/10.1080/24694452.2015.1123602
Grace, K., Verdin, A., Dorélien, A., Davenport, F., Funk, C., & Husak, G. (2021). Exploring strategies for investigating the mechanisms linking climate and individual-level child health outcomes: an analysis of birth weight in Mali. Demography, 1–32. https://doi.org/10.1215/00703370-8977484
Grace, K., Verdin, A., Brown, M., Bakhtsiyarava, M., Backer, D., & Billing, T. (2022). Conflict and climate factors and the risk of child acute malnutrition among children aged 24–59 months: A comparative analysis of Kenya, Nigeria, and Uganda. Spatial Demography, 10(2), 329–358. https://doi.org/10.1007/s40980-021-00102-w
Groten, S. M. E. (1993). NDVI—crop monitoring and early yield assessment of Burkina Faso. International Journal of Remote Sensing, 14(8), 1495–1515. https://doi.org/10.1080/01431169308953983
Huete, A., Didan, M., Miura, T., Rodriquez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 1–3. https://doi.org/10.1016/S0020-1693(00)85959-9
Iizumi, T., Sakuma, H., Yokozawa, M., Luo, J. J., Challinor, A. J., Brown, M. E., & Yamagata, T. (2013). Prediction of seasonal climate-induced variations in global food production. Nature Climate Change, 3(10), 904–908. https://doi.org/10.1038/nclimate1945
Islam, M. M., & Mamun, M. M. I. (2015). Variations of NDVI and its association with rainfall and evapotranspiration over Bangladesh. Rajshahi University Journal of Science and Engineering, 43, 21–28. https://doi.org/10.3329/rujse.v43i0.26160
Jalloh, A., Nelson, G. C., Thomas, T. S., Zougmoré, R. B., & Roy-Macauley, H. (2013). West African agriculture and climate change: a comprehensive analysis. International Food Policy Research Institute.
Johnson, K., & Brown, M. E. (2014). Environmental risk factors and child nutritional status and survival in a context of climate variability and change. Applied Geography, 54, 209–221. https://doi.org/10.1016/j.apgeog.2014.08.007
Jones, P., & Thornton, P. (2003). The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environmental Change, 13(1), 51–59. https://doi.org/10.1016/S0959-3780(02)00090-0
Kim, K., & Bevis, L. (2019). Soil fertility and poverty in developing countries. Choices Magazine, 34(2).
Kuchenbecker, J., Reinbott, A., Mtimuni, B., Krawinkel, M. B., & Jordan, I. (2017). Nutrition education improves dietary diversity of children 6–23 months at community-level: results from a cluster randomized controlled trial in Malawi. PLoS One1, 12(4), e0175216. https://doi.org/10.1371/journal.pone.0175216
Kohlmann, K., Sudfeld, C. R., Garba, S., Guindo, O., Grais, R. F., & Isanaka, S. (2021). Exploring the relationships between wasting and stunting among a cohort of children under two years of age in Niger. BMC Public Health, 21(1), 1713. https://doi.org/10.1186/s12889-021-11689-6
Kugler, T. A., Grace, K., Wrathall, D. J., de Sherbinin, A., Van Riper, D., Aubrecht, C., & Van Den Hoek, J. (2019). People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data. Population and Environment, 41(2), 209–234. https://doi.org/10.1007/s11111-019-00326-5
Lee, D., Davenport, F., Shukla, S., Husak, G., Funk, C., Harrison, L., McNally, A., Rowland, J., Budde, M., & Verdin, J. (2022). Maize yield forecasts for Sub-Saharan Africa using Earth Observation data and machine learning. Global Food Security, 33, 100643. https://doi.org/10.1016/j.gfs.2022.100643
Lobell, D. B., Bänziger, M., Magorokosho, C., & Vivek, B. (2011). Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change, 1(4), 42–45. https://doi.org/10.1038/nclimate1043
Lobell, D. B., Azzari, G., Burke, M., Gourlay, S., Jin, Z., Kilic, T., & Murray, S. (2019). Eyes in the sky, boots on the ground: Assessing satellite- and ground-based approaches to crop yield measurement and analysis. American Journal of Agricultural Economics, 102(1), 202–219. https://doi.org/10.1093/ajae/aaz051
Lokupitiya, E., Lefsky, M., & Paustian, K. (2010). Use of AVHRR NDVI time series and ground-based surveys for estimating county-level crop biomass. International Journal of Remote Sensing, 31(1), 141–158. https://doi.org/10.1080/01431160902882579
Lotsch, A., Friedl, M. A., Anderson, B. T., & Tucker, C. J. (2003). Coupled vegetation-precipitation variability observed from satellite and climate records: vegetation-precipitation dynamics. Geophysical Research Letters, 30(14). https://doi.org/10.1029/2003GL017506
Maxwell, D. (1995). Measuring food insecurity: the frequency and severity of “coping strategies.” Food Consumption and Nutrition Division Discussion Paper.
McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Verdin, J. P. (2017). A land data assimilation system for sub-Saharan Africa food and water security applications. Scientific Data, 4, 1–19. https://doi.org/10.1038/sdata.2017.12
Musyoka, P. K., Onjala, J., & Mureithi, L. P. (2021). Determinants of distress sales of farmland in rural Kenya. Development Studies Research, 8(1), 317–345. https://doi.org/10.1080/21665095.2021.1974918
Phalkey, R. K., Aranda-Jan, C., Marx, S., Höfle, B., & Sauerborn, R. (2015). Systematic review of current efforts to quantify the impacts of climate change on undernutrition. Proceedings of the National Academy of Sciences of the United States of America, 112(33), E4522–E4529. https://doi.org/10.1073/pnas.1409769112
Pinstrup-Andersen, P. (2009). Food security: Definition and measurement. Food Security, 1(1), 5–7. https://doi.org/10.1007/s12571-008-0002-y
Proctor, J., Rigden, A., Chan, D., & Huybers, P. (2022). More accurate specification of water supply shows its importance for global crop production. Nature Food, 3(9), 753–763. https://doi.org/10.1038/s43016-022-00592-x
Randell, H., Grace, K., & Bakhtsiyarava, M. (2021). Climatic conditions and infant care: Implications for child nutrition in rural Ethiopia. Population and Environment, 42(4), 1–28. https://doi.org/10.1007/s11111-020-00373-3.Climatic
Randell, H., Gray, C., & Grace, K. (2020). Stunted from the start: early life weather conditions and child undernutrition in Ethiopia. Social Science & Medicine, 261. https://doi.org/10.1016/j.socscimed.2020.113234
Rigden, A. J., Mueller, N. D., Holbrook, N. M., Pillai, N., & Huybers, P. (2020). Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields. Nature Food, 1. https://doi.org/10.1038/s43016-020-0028-7
Ritzema, R. S., Frelat, R., Douxchamps, S., Silvestri, S., Rufino, M. C., Herrero, M., Giller, K. E., López-Ridaura, S., Teufel, N., Paul, B. K., & van Wijk, M. T. (2017). Is production intensification likely to make farm households food-adequate? A simple food availability analysis across smallholder farming systems from East and West Africa. Food Security, 9(1), 115–131. https://doi.org/10.1007/s12571-016-0638-y
Ruane, A. C., Major, D. C., Yu, W. H., Alam, M., Hussain, S. G., Khan, A. S., & Rosenzweig, C. (2013). Multi-factor impact analysis of agricultural production in Bangladesh with climate change. Global Environmental Change, 23(1), 338–350. https://doi.org/10.1016/j.gloenvcha.2012.09.001
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., & Teuling, A. J. (2010). Investigating soil moisture-climate interactions in a changing climate: a review. Earth-Science Reviews, 99(3–4), 125–161. https://doi.org/10.1016/j.earscirev.2010.02.004
Shively, G., Sununtnasuk, C., & Brown, M. (2015). Environmental variability and child growth in Nepal. Health and Place, 35, 37–51. https://doi.org/10.1016/j.healthplace.2015.06.008
Shively, G. E. (2017). Infrastructure mitigates the sensitivity of child growth to local agriculture and rainfall in Nepal and Uganda. Proceedings of the National Academy of Sciences of the United States of America, 114(5), 903–908. https://doi.org/10.1073/pnas.1524482114
Shukla, S., Husak, G., Turner, W., Davenport, F., Funk, C., Harrison, L., & Krell, N. (2021). A slow rainy season onset is a reliable harbinger of drought in most food insecure regions in Sub-Saharan Africa. PLoS ONE, 16(1 January), 1–21. https://doi.org/10.1371/journal.pone.0242883
Thiede, B., & Strube, J. (2020). Climate variability and child nutrition: Findings from sub-Saharan Africa. Global Environmental Change, 28(2), 1–43. https://doi.org/10.1016/j.gloenvcha.2020.102192
Thiede, B. C., & Gray, C. (2020). Climate exposures and child undernutrition: evidence from Indonesia. Social Science and Medicine, 265(August), 113298. https://doi.org/10.1016/j.socscimed.2020.113298
UNICEF. (2022). Progress on breastfeeding in Bangladesh undermined by aggressive formula milk marketing – WHO, Retrieved April 7, 2023, from https://www.unicef.org/bangladesh/en/press-releases/progress-breastfeeding-bangladesh-undermined-aggressive-formula-milk-marketing-who
USDA. (2020). Crop explorer—world agricultural production (WAP) briefs—Bangladesh. Retrieved November 2021, from https://ipad.fas.usda.gov/cropexplorer/pecad_stories.aspx?regionid=bg&ftype=prodbriefs
Verhagen, J., Put, M., Zaal, F., & Keulen, H. (2004). Climate change and drought risks for agriculture. In A. J. Dietz, R. Ruben, & A. Verhagen (Eds.), The impact of climate change on drylands (Vol. 39, pp. 49–59). Kluwer Academic Publishers. https://doi.org/10.1007/1-4020-2158-5_6
Wheeler, T., & Von Braun, J. (2013). Climate change impacts on global food security. Science, 341(6145), 508–513. https://doi.org/10.1126/science.1239402
WHO. (2018). Breastfeeding. Retrieved December 2021, from https://www.who.int/health-topics/breastfeeding#tab=tab_1
World Bank. (2019a). Exclusive breastfeeding (% of children under 6 months)—Senegal | Data. Retrieved April 7, 2023, from https://data.worldbank.org/indicator/SH.STA.BFED.ZS?locations=SN
World Bank. (2019b). Prevalence of wasting, weight for height (% of children under 5)—Bangladesh | Data. Retrieved April 7, 2023, from https://data.worldbank.org/indicator/SH.STA.WAST.ZS?locations=BD
World Bank. (2019c). Prevalence of wasting, weight for height (% of children under 5)—Senegal | Data. Retrieved April 7, 2023, from https://data.worldbank.org/indicator/SH.STA.WAST.ZS?locations=SN
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The authors gratefully acknowledge support from the Minnesota Population Center (P2C HD041023) funded through a grant from the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD). This study was also supported by the Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification (SIIL) at Kansas State University through funding from the United States Agency for International Development (USAID) under the Cooperative Agreement (grant number AID-OAA-L-14–00006).
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Conceptualization: Ruthie Burrows, Kathryn Grace, Molly Brown, and Amy McNally; methodology: Ruthie Burrows, Kathryn Grace, and Molly Brown; formal analysis and investigation: Ruthie Burrows; writing—original draft preparation: Ruthie Burrows; writing—review and editing: Ruthie Burrows, Kathryn Grace, Molly Brown, and Amy McNally.
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Burrows, R.A., Grace, K., Brown, M.E. et al. Considering soil moisture in models of climate impacts on child health in farming-centric countries. Popul Environ 45, 15 (2023). https://doi.org/10.1007/s11111-023-00426-3
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DOI: https://doi.org/10.1007/s11111-023-00426-3