nach oben

Population and Environment

Erschienen in:

21.02.2021 | Original Paper

Climate variability and health in extremely vulnerable communities: investigating variations in surface water conditions and food security in the West African Sahel

verfasst von: Kathryn Grace, Frank Davenport

Erschienen in: Population and Environment | Ausgabe 4/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In this project we consider the ways that different livelihood strategies impact the climate-health linkage. Specifically, we build on knowledge of livestock mobility in the Sahel and use remotely sensed-based measures of waterholes with health survey data to investigate the linkages between child health outcomes related to food security. We focus on the landscape characteristics relevant to limitedly studied, but highly climate-vulnerable populations, pastoralists and agro-pastoralists in the Sahel. We combine remotely sensed-based data on surface waterholes and spatially referenced health survey data and use flexible regression modeling techniques to uncover the quantitative relationship between waterhole depth and a child’s height-for-age z-score (HAZ). The results suggest that the water depth level of nearby waterholes does indeed impact a child’s HAZ, even after accounting for other environmental factors. This relationship is impacted, however, by the livelihood practices of the area as well as by the source of household drinking water.

Vorheriger Artikel Climatic conditions and infant care: implications for child nutrition in rural Ethiopia

Nächster Artikel Correction to: Climate variability and health in extremely vulnerable communities: investigating variations in surface water conditions and food security in the West African Sahel

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

Developed recently by USGS scientists in collaboration with Climate Hazards Center at the University of California, Santa Barbara.

e.g. Global Precipitation Climatology Centre, Climate Prediction Center’s Unified precipitation data set, and University of Delaware’s precipitation data.

Adriansen, H. K., & Nielsen, T. T. (2005). The geography of pastoral mobility: a spatio-temporal analysis of GPS data from Sahelian Senegal. GeoJournal, 64(3), 177–188.

Adriansen, H. K. (2008). Understanding pastoral mobility: the case of Senegalese Fulani. Geographical Journal, 174(3), 207–222.CrossRef

Angassa, A., & Oba, G. (2013). Cattle herd vulnerability to rainfall variability: responses to two management scenarios in southern Ethiopia. Tropical Animal Health and Production, 45(3), 715–721.CrossRef

Bakhtsiyarava, M., Grace, K., & Nawrotzki, R. J. (2018). Climate, birth weight, and agricultural livelihoods in Kenya and Mali. American Journal of Public Health, 108(S2), S144–S150.CrossRef

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(5–6), 584–611.CrossRef

Black, R. E., Allen, L. H., Bhutta, Z. A., Caulfield, L. E., de Onis, M., Ezzati, M., et al. (2008). Maternal and child undernutrition: global and regional exposures and health consequences. The Lancet, 371(9608), 243–260.CrossRef

Black, R. E., Victora, C. G., Walker, S. P., Bhutta, Z. A., Christian, P., De Onis, M., ... & Maternal and Child Nutrition Study Group. (2013). Maternal and child undernutrition and overweight in low-income and middle-income countries. The lancet, 382(9890), 427–451.CrossRef

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.CrossRef

Cooper, M. W., Brown, M. E., Hochrainer-Stigler, S., Pflug, G., McCallum, I., Fritz, S., & Zvoleff, A. (2019). Mapping the effects of drought on child stunting. Proceedings of the National Academy of Sciences, 116(35), 17219–17224.CrossRef

Cosgrove, B. A., Lohmann, D., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., et al. (2003). Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. Journal of Geophysical Research, 108(D22), 8842.

Davenport, F., Dorélien, A., & Grace, K. (2020). Investigating the linkages between pregnancy outcomes and climate in sub-Saharan Africa. Population and Environment, pp.1–25.

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, 72–87.CrossRef

Davenport, F. M., Harrison, L., Shukla, S., Husak, G., Funk, C., & McNally, A. (2019). Using out-of-sample yield forecast experiments to evaluate which earth observation products best indicate end of season maize yields. Environmental Research Letters, 14(12), 124095.CrossRef

Ellis, J. E., & Swift, D. M. (1988). Stability of African pastoral ecosystems: alternate paradigms and implications for development.". Journal of Range Management Archives, 41(6), 450–459.CrossRef

FAO. (2001). Pastoralism in the new millennium. Animal Production and Health Paper No. 150. Rome, Italy. http://www.fao.org/DOCREP/005/y2647e/y2647e00.htm.

FAO. (1996). World Food Summit: Rome Declaration on World Food Security. Rome: Food and Agriculture Organization.

FAO. (2018). Pastoralism in Africa’s drylands. Rome. 52 pp. Licence: CC BY-NC-SA 3.0 IGO.

FEWS NET. (2014). Livelihood zone reports for Burkina Faso, Mali, and Senegals (accessed at http://www.fews.net on 25 July 2015).

Fratkin, El. (2001). East African pastoralism in transition: Maasai, Boran, and Rendille cases. African Studies Review, pp. 1–25.

Funk C., Michaelsen, J., & Marshall, M. (2012). Mapping recent decadal climate variations in Eastern Africa and the Sahel, in Remote sensing of drought: innovative monitoring approaches (eds Wardlow B., Anderson M. & Verdin J.).

Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., et al. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data, 2(1), 1–21.CrossRef

Funk, C., Verdin, A., Michaelsen, J., Peterson, P., Pedreros, D., & Husak, G. (2015). A global satellite assisted precipitation climatology. Earth System Science Data Discussions, 8(1).

Grace, K., Nagle, N. N., Burgert-Brucker, C. R., Rutzick, S., Van Riper, D. C., Dontamsetti, T., & Croft, T. (2019). Integrating environmental context into DHS analysis while protecting participant confidentiality: a new remote sensing method. Population and Development Review, 45(1), 197.CrossRef

Homewood, K. (2008). Ecology of African Pastoralist Societies. James Currey: Ohio University Press; Unisa Press.

Homewood, K. (1994). Pastoralists, environment and development in East African rangelands. Environment and population change, 311–323.

Husak, G., & Grace, K. (2016). In search of a global model of cultivation: using remote sensing to examine the characteristics and constraints of agricultural production in the developing world. Food Security, 8(1), 167–177.CrossRef

Isen, A., Rossin-Slater, M., & Walker, R. (2017). Relationship between season of birth, temperature exposure, and later life wellbeing. Proceedings of the National Academy of Sciences, 114(51), 13447–13452.CrossRef

Jones, A. D., Ngure, F. M., Pelto, G., & Young, S. L. (2013). What are we assessing when we measure food security? A compendium and review of current metrics. Advances in Nutrition, 4(5), 481–505.CrossRef

Jose, V. R. R., & Winkler, R. L. (2008). Simple robust averages of forecasts: Some empirical results. International Journal of Forecasting, 24(1), 163–169.CrossRef

Kanter, R., Walls, H. L., Tak, M., Roberts, F., & Waage, J. (2015). A conceptual framework for understanding the impacts of agriculture and food system policies on nutrition and health. Food Security, 7(4), 767–777.CrossRef

Makridakis, S. (1983). Averages of Forecasts: Some Empirical Results. Management Science, 29(9), 987–996.CrossRef

Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting methods and applications. John Wiley & Sons.

Martin, R., Müller, B., Linstädter, A., & Frank, K. (2014). How much climate change can pastoral livelihoods tolerate? Modelling rangeland use and evaluating risk. Global Environmental Change, 24, 183–192.CrossRef

Matthews, S. A., & Yang, T. C. (2013). Spatial polygamy and contextual exposures (spaces) promoting activity space approaches in research on place and health. American Behavioral Scientist, 57(8), 1057–1081.CrossRef

Mukuria, A., Macro, O. R. C., Cushing, J., & Sangha, J. (2005). Nutritional status of children: results from the demographic and health surveys 1994–2001.

New, M., Hulme, M., & Jones, P. (2000). Representing twentieth-century space–time climate variability. Part II: development of 1901–96 monthly grids of terrestrial surface climate. Journal of Climate, 13(13), pp.2217–2238.

Pelletier, D. L., Frongillo, E. A., Jr., Schroeder, D. G., & Habicht, J. P. (1995). The effects of malnutrition on child mortality in developing countries. Bulletin of the World Health Organization, 73(4), 443.

Pelletier, D. L. (1994). The potentiating effects of malnutrition on child mortality: epidemiologic evidence and policy implications. Nutrition reviews, 52(12), 409–415.CrossRef

Perchoux, C., Chaix, B., Cummins, S., & Kestens, Y. (2013). Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health & Place, 21, 86–93.CrossRef

Perez-Heydrich, C., Warren, J. L., Burgert, C. R., & Emch, M. E. (2016). Influence of demographic and health survey point displacements on raster-based analyses. Spatial Demography, 4(2), 135–153.CrossRef

Perez-Heydrich, C., Warren, J. L., Burgert, C. R., & Emch, M. (2013). Guidelines on the use of DHS GPS data. ICF International.

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, 112(33), E4522–E4529.CrossRef

Randall, S. (2015). Where have all the nomads gone? Fifty years of statistical and demographic invisibilities of African mobile pastoralists. Pastoralism, 5, 22.CrossRef

Randell, H., Gray, C., & Grace, K. (2020). Stunted from the start: Early life weather conditions and child undernutrition in Ethiopia. Social Science & Medicine, 261, 113234.CrossRef

Sadler, K., Kerven, C., Calo, M., Manske, M., & Catley, A. (2010). The fat and the lean: review of production and use of milk by pastoralists. Pastoralism, 1(2), 291–324.

Sandford, S. (1983). Management of pastoral development in the Third World. Wiley.

Sheffield, J., Goteti, G., & Wood, E. F. (2006). Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. Journal of Climate, 19(13), 3088–3111.CrossRef

Senay, G. B., Velpuri, N. M., Alemu, H., Pervez, S. M., Asante, K. O., Kariuki, G., et al. (2013). Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: application in the pastoral regions of East Africa. Pastoralism: Research, Policy and Practice, 3(1), 20.CrossRef

Shell-Duncan, B. (1995). Impact of seasonal variation in food availability and disease stress on the health status of nomadic Turkana children: a longitudinal analysis of morbidity, immunity, and nutritional status. American Journal of Human Biology, 7(3), 339–355.CrossRef

Thébaud, B., & Batterbury, S. (2001). Sahel pastoralists: opportunism, struggle, conflict and negotiation. A case study from eastern Niger. Global environmental change, 11(1), 69–78.CrossRef

Thiede, B. C., & Strube, J. (2020). Climate variability and child nutrition: Findings from sub-Saharan Africa. Global Environmental Change, 65, 102192.CrossRef

Turner, M. D., & Hiernaux, P. (2002). The use of herders’ accounts to map livestock activities across agropastoral landscapes in Semi-Arid Africa. Landscape Ecology, 17(5), 367–385.CrossRef

Turner, M. D., & Schlecht, E. (2019). Livestock mobility in sub-Saharan Africa: a critical review. Pastoralism, 9(1), 13.CrossRef

UNICEF. (2010). UNICEF conceptual framework. Retrieved 07/14, 2014 from http://www.unicef.org/nutrition/training/2.5/4.html.

UNDP. (2019). Human Development Report 2019. Beyond income, beyond averages, beyond today: inequalities in human development in the 21st century. New York. http://hdr.undp.org/en/content/human-development-report-2019.

Van den Bossche, P., & Coetzer, J. A. (2008). Climate change and animal health in Africa. Revue scientifique et technique (International Office of Epizootics), 27(2), 551–562.

Velpuri, N. M., Senay, G. B., & Asante, K. O. (2012). A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data. Hydrology and Earth System Sciences, 16(1), 1.CrossRef

Velpuri, N. M., Senay, G. B., Rowland, J., Verdin, J. P., & Alemu, H. (2014). Africa-wide monitoring of small surface water bodies using multisource satellite data: a monitoring system for FEWS NET. In Nile River Basin (pp. 69–95). Springer, Cham.

Verstraete, M. M., Scholes, R. J., & Smith, M. S. (2009). Climate and desertification: looking at an old problem through new lenses. Frontiers in Ecology and the Environment, 7(8), 421–428.CrossRef

Williams, C. A., & Albertson, J. D. (2006). Dynamical effects of the statistical structure of annual rainfall on dryland vegetation. Global Change Biology, 12(5), 777–792.CrossRef

Wood, S. N. (2017). Generalized additive models: an introduction with R. Chapman and Hall/CRC.

Wood, S. N. (2003). Thin plate regression splines. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65(1), 95–114.CrossRef

Titel: Climate variability and health in extremely vulnerable communities: investigating variations in surface water conditions and food security in the West African Sahel
verfasst von: Kathryn Grace
Frank Davenport
Publikationsdatum: 21.02.2021
Verlag: Springer Netherlands
Erschienen in: Population and Environment / Ausgabe 4/2021
Print ISSN: 0199-0039
Elektronische ISSN: 1573-7810
DOI: https://doi.org/10.1007/s11111-021-00375-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2021

Working toward effective anonymization for surveillance data: innovation at South Africa’s Agincourt Health and Socio-Demographic Surveillance Site

Putting people into dynamic places: the importance of specific contexts in understanding demographic responses to changes in the natural environment

Childhood exposure to polluted neighborhood environments and intergenerational income mobility, teenage birth, and incarceration in the USA

Amenities or disamenities? Estimating the impacts of extreme heat and wildfire on domestic US migration

Deepwater Horizon oil spill exposure and child health: a longitudinal analysis

Left home high and dry-reduced migration in response to repeated droughts in Thailand and Vietnam