Abstract
Human migration, referring to people choosing to move not just because of a direct danger of persecution or death but also to improve their lives, is expected to grow rapidly in the near future. In this context, the recent Trans-Mediterranean region raised particular interest for the variety of migration routes and of institutional, social, cultural and economic issues. Further, the region is affected by many threats due to the interactions of climate change vulnerability, water scarcity and land degradation with the needs of increasingly urbanized populations and environmentally-intensive food production. The aim of this study is contributing to deepen the knowledge about the potential nexus among climate, geopolitics and migration across the Trans-Mediterranean region, through a comprehensive analysis, based on well consolidated and scientifically sound methods and data, about the climate-related hazards and their consequences on water and food availability. The findings suggest that the study region is increasingly facing a general warming and a decrease of water availability. The climate regime and hydrological cycle influence the agriculture, so that yields of the key energy and protein crops considered (wheat, maize, rice, soybean) seem highly endangered leading to an increase in irrigation needs posing additional pressures on the water sector. Building resilience for water resources and food production systems to climate change becomes thus crucial for the whole Trans-Mediterranean region. But while climate adaptation measures have to be implemented rapidly through agricultural practices, climate change mitigation cannot be neglected: in this context, the SDG agenda can provide robust foundations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
Exposure: The extent to which human society and its supporting sectors are stressed by the future changing climate conditions. Exposure captures the physical factors external to the system that contribute to vulnerability.
Sensitivity: The degree to which people and the sectors they depend upon are affected by climate related perturbations. The factors increasing sensitivity include the degree of dependency on sectors that are climate-sensitive and proportion of populations sensitive to climate hazard due to factors such as topography and demography.
Adaptive capacity: The ability of society and its supporting sectors to adjust to reduce potential damage and to respond to the negative consequences of climate events. Adaptive capacity indicators seek to capture a collection of means, readily deployable to deal with sector-specific climate change impacts.
- 3.
Economic Readiness: The investment capability that facilitates mobilizing capitals from private sector.
Governance Readiness: The stability of the society and institutional arrangements that contribute to the investment risks. In a stable country with high governance capacity investors are assured that the invested capitals could grow under the help of responsive public services and without significant interruption.
Social readiness: Social conditions that help society to make efficient and equitable use of investment and yield more benefit from the investment.
- 4.
- 5.
- 6.
- 7.
South Sudan was comprised because country level data are available for the former Sudan according to the time period analysed.
- 8.
Excluded: Liechtenstein, Andorra, Gibraltar, San Marino, Vatican City because of their limited surface area.
- 9.
- 10.
No data for Bahrain is available in FAOSTAT.
- 11.
References
Barrios, S., Bertinelli, L., & Strobl, E. (2006). Climatic change and rural–urban migration: The case of sub-Saharan Africa. Journal of Urban Economics, 60(3), 357–371.
Brzoska, M., & Fröhlich, C. (2016). Climate change, migration and violent conflict: Vulnerabilities, pathways and adaptation strategies. Migration and Development, 5(2), 190–210. https://doi.org/10.1080/21632324.2015.1022973.
Cai, R., Feng, S., Oppenheimer, M., & Pytlikova, M. (2016). Climate variability and international migration: The importance of the agricultural linkage. Journal of Environmental Economics and Management, 79, 135–151. https://doi.org/10.1016/j.jeem.2016.06.005.
Cannon, A. J. (2016). Multivariate bias correction of climate model output: Matching marginal distributions and inter-variable dependence structure. Journal of Climate, 29(19), 7045–7064. https://doi.org/10.1175/JCLI-D-15-0679.1.
Cattaneo, C., & Peri, G. (2016). The migration response to increasing temperatures. Journal of Development Economics, 122, 127–146. https://doi.org/10.1016/j.jdeveco.2016.05.004.
De Pauw, E. (2005). Monitoring agricultural drought in the near east. In V. K. Boken, A. P. Cracknell, & R. L. Heathcote (Eds.), Monitoring and predicting agricultural drought (pp. 208–226). New York: Oxford University Press.
Di Paola, A., Rulli, M. C., & Santini, M. (2017). Human food vs. animal feed debate. A thorough analysis of environmental footprints. Land Use Policy, 67, 652–659. https://doi.org/10.1016/j.landusepol.2017.06.017.
Dinesh, D. (2016). Adaptation measures in agricultural systems: Messages to SBSTA 44 agriculture workshops (CCAFS Working Paper no. 145). Copenhagen: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Retrieved November 25, 2018, from http://hdl.handle.net/10568/71049
Evans, R. G., & Sadler, E. J. (2008). Methods and technologies to improve efficiency of water use. Water Resources Research, 44(7), W00E04. https://doi.org/10.1029/2007WR006200.
FAO (Food and Agriculture Organization of the United Nations). (2004). Progress achieved in developing strategies for drought mitigation and preparedness planning in the near east region. In: Proceedings of the Third Session of the Agriculture, Land, and Water Use Commission for the Near East, Doha, Qatar, March 9-11, 2004.
Ghimire, R., Ferreira, S., & Dorfman, J. H. (2015). Flood-induced displacement and civil conflict. World Development, 66, 614–628. https://doi.org/10.1016/j.worlddev.2014.09.021.
Grecequet, M., DeWaard, J., Hellmann, J. J., & Abel, G. J. (2017). Climate vulnerability and human migration in global perspective. Sustainability, 9(5), 720. https://doi.org/10.3390/su9050720.
Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high resolution grids of monthly climatic observations—The CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623–642. https://doi.org/10.1002/joc.3711.
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013). A trend-preserving bias correction—The ISI-MIP approach. Earth System Dynamics, 4(2), 219–236. https://doi.org/10.5194/esd-4-219-2013.
Hsiang, S. M., Burke, M., & Miguel, E. (2013). Quantifying the influence of climate on human conflict. Science, 341(6151), 1235367. https://doi.org/10.1126/science.1235367.
IPCC. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. Retrieved November 25, 2018, from https://www.ipcc.ch/pdf/special-reports/srex/SREX_Full_Report.pdf
IPCC. (2013). Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. Retrieved November 25, 2018, from http://www.ipcc.ch/report/ar5/wg1/
IPCC. (2014). Climate change 2014: Impacts, adaptation, and vulnerability. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. Retrieved November 25, 2018, from http://www.ipcc.ch/report/ar5/wg2/
IPCC. (2018) Global warming of 1.5°C: An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Geneva: IPCC. Retrieved November 25, 2018, from http://www.ipcc.ch/report/sr15/
IWMI (International Water Management Institute). (2007). Water for food, water for life: A comprehensive assessment of water management in agriculture. London: Earthscan.
Krishnamurthy, P. K., Lewis, K., & Choularton, R. J. (2014). A methodological framework for rapidly assessing the impacts of climate risk on national-level food security through a vulnerability index. Global Environmental Change, 25, 121–132. https://doi.org/10.1016/j.gloenvcha.2013.11.004.
Livi Bacci, M. (2018). Future demographic trends and scenarios. In Food & migrations. Understanding the geopolitical nexus in the Euro-Mediterranean (pp. 19–27). MacroGeo and Barilla Center for Food & Nutrition. Retrieved November 25, 2018, from https://www.foodandmigration.com/
Mancosu, N., Snyder, R. L., Kyriakakis, G., & Spano, D. (2015). Water scarcity and future challenges for food production. Water, 7(3), 975–992. https://doi.org/10.3390/w7030975.
Marchiori, L., Maystadt, J.-F., & Schumacher, I. (2011). The impact of weather anomalies on migration in sub-Saharan Africa. Journal of Environmental Economics and Management, 63(3), 355–374. https://doi.org/10.1016/j.jeem.2012.02.001.
Masih, I., Maskey, S., Mussá, F. E. F., & Trambauer, P. (2014). A review of droughts on the African continent: A geospatial and long-term perspective. Hydrology and Earth System Sciences, 18(9), 3635–3649. https://doi.org/10.5194/hess-18-3635-2014.
Piguet, E. (2010). Linking climate change, environmental degradation, and migration: A methodological overview. Wiley Interdisciplinary Reviews: Climate Change, 1(4), 517–524. https://doi.org/10.1002/wcc.54.
Raineri, L. (2018). Routes of trans-Mediterranean migration. In Food & migrations. Understanding the geopolitical nexus in the Euro-Mediterranean (pp. 57–62). MacroGeo and Barilla Center for Food & Nutrition. Retrieved November 25, 2018, from https://www.foodandmigration.com/
Ray, D. K., Gerber, J. S., MacDonald, G. K., & West, P. C. (2015). Climate variation explains a third of global crop yield variability. Nature Communications, 6, 5989. https://doi.org/10.1038/ncomms6989.
Reuveny, R. (2007). Climate change induced migration and violent conflicts. Political Geography, 26(6), 656–673. https://doi.org/10.1016/j.polgeo.2007.05.001.
Ronco, P., Zennaro, F., Torresan, S., Critto, A., Santini, M., Trabucco, A., Zollo, A. L., Galluccio, G., & Marcomini, A. (2017). A risk assessment framework for irrigated agriculture under climate change. Advances in Water Resources, 110, 562–578. https://doi.org/10.1016/j.advwatres.2017.08.003.
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., Neumann, K., Piontek, F., Pugh, T. A. M., Schmid, E., Stehfest, E., Yang, H., & Jones, J. W. (2014). Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proceedings of the National Academy of Sciences, 111(9), 3268–3273. https://doi.org/10.1073/pnas.1222463110.
Sippel, S., Otto, F. E. L., Forkel, M., Allen, M. R., Guillod, B. P., Heimann, M., Reichstein, M., Seneviratne, S. I., Thonicke, K., & Mahecha, M. D. (2016). A novel bias correction methodology for climate impact simulations. Earth System Dynamics, 7(1), 71–88. https://doi.org/10.5194/esd-7-71-2016.
Spinoni, J., Naumann, G., Vogt, J. V., & Barbosa, P. (2015). The biggest drought events in Europe from 1950 to 2012. Journal of Hydrology: Regional Studies, 3, 509–524. https://doi.org/10.1016/j.ejrh.2015.01.001.
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012). An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society, 93(4), 485–498. https://doi.org/10.1175/BAMS-D-11-00094.1.
UNDESA (United Nations, Department of Economic and Social Affairs, Population Division). (2017). Trends in International Migrant Stock: The 2017 Revision (United Nations database, POP/DB/MIG/Stock/Rev.2017). Accessed November 25, 2018, from http://www.un.org/en/development/desa/population/migration/data/estimates2/docs/MigrationStockDocumentation_2017.pdf.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., & Rose, S. K. (2011). The representative concentration pathways: An overview. Climatic Change, 109(1–2), 5–31. https://doi.org/10.1007/s10584-011-0148-z.
Vörösmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B. (2000). Global water resources vulnerability from climate change and population growth. Science, 289(5477), 284–288. https://doi.org/10.1126/science.289.5477.284.
World Food Programme (WPF). (2017). At the root of the Exodus: Food Security, Conflict and International Migration. Retrieved November 25, 2018, from https://docs.wfp.org/api/documents/WFP-0000015358/download/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Caporaso, L., Santini, M., Noce, S., de Sanctis, A., Caracciolo, L., Antonelli, M. (2019). Drivers of Migration in the Trans-Mediterranean Region: The Likely Role of Climate Change and Resource Security in the Geopolitical Context. In: Valentini, R., Sievenpiper, J., Antonelli, M., Dembska, K. (eds) Achieving the Sustainable Development Goals Through Sustainable Food Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-23969-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-23969-5_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23968-8
Online ISBN: 978-3-030-23969-5
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)