journal article·2019-11-30Open access

The Influence of Environmental Change (Crops and Water) on Population Redistribution in Mexico and Ethiopia

Haibin Xia, Susana B. Adamo, Alex de Sherbinin, Bryan Jones

Applied Sciences· Volume 9· Issue 23

Abstract

This paper discusses the effects of long-term environmental change (represented by the abundance or scarcity relative to the long-term average level of crop yield/river flow) and short-term environmental shock (represented by the maximum number of consecutive years below the median crop yield/river flow per decade) on population redistribution in Mexico and Ethiopia. Crop production and water resources, which are affected by climate change and influence human survival and activities, were selected as research variables. Two developing countries, namely, Mexico and Ethiopia, were selected as comparison cases. The results showed that short-term environmental shocks had no correlation with population redistribution. Short-term environmental shocks might fail to influence migration decisions or cause only temporary displacements that cannot be detected by demographic statistics. Among the long-term environmental change factors, only crop yield deviation was found to have a significant positive correlation with population redistribution. Based on two different datasets and two different decades, crop yield deviation is positively correlated with population redistribution; the correlation coefficients between crop yield deviation and population redistribution were 0.134 to 0.162 in Mexico and 0.102 to 0.235 in Ethiopia. When urbanization was considered as the control variable, the correlation coefficient between crop yield deviation and population redistribution in Mexico dropped by half, while it was almost the same in Ethiopia. However, Ethiopia’s population redistribution was more clearly influenced by the population itself. Crop yield deviation relative to water flow deviation meant changes in livelihoods. Population redistribution is a possible means of adapting to changes in livelihood. Mexico exhibited high resilience to changes in livelihoods caused by long-term environmental change, especially in its densely populated areas. In contrast, Ethiopia was characterized mainly by high population growth and low population migration. People in some areas of Ethiopia were forced to endure hardship of livelihood deterioration or to stay where they were due to the difficulty of obtaining sufficient resources to afford the cost of migration.
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Research context

OpenAlex topics: Climate Change, Adaptation, Migration · Migration and Labor Dynamics · Energy and Environment Impacts

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China

School of Geographic Sciences, East China Normal University, Shanghai 200241, China

Center for International Earth Science Information Network (CIESIN), The Earth Institute at Columbia University, New York, NY 10964, USA

Institute for Demographic Research, City University of New York, NY 10017, USA

Funding

National Natural Science Foundation of China · Development Program of China

References (63)

Show source-provided references
1. The Outlook for Population Growth10.1126/science.1208859 ↗
2. UN (2015). World Population Prospects: The 2015 Revision, Highlights. Popul. Dev. Rev., 36, 854–855.
3. Population and environment10.1146/annurev.energy.32.041306.100243 ↗
4. Population Growth and its Implications for Global Security10.1111/ajes.12161 ↗
5. Inter- and transdisciplinary approaches to population-environment research for sustainability aims: A review and appraisal10.1007/s11111-012-0176-2 ↗
6. 7 Billion and Counting10.1126/science.1209290 ↗
7. Wedge approach to water stress10.1038/ngeo2241 ↗
8. Proximate causes and underlying driving forces of tropical deforestation10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 ↗
9. Food Security: The Challenge of Feeding 9 Billion People10.1126/science.1185383 ↗
10. Climate variability and inter-provincial migration in South America, 1970-201110.1016/j.gloenvcha.2016.10.005 ↗
11. Rural household demographics, livelihoods and the environment10.1016/j.gloenvcha.2007.05.005 ↗
12. Climate shocks and rural-urban migration in Mexico: Exploring nonlinearities and thresholds10.1007/s10584-016-1849-0 ↗
13. Heterogeneity in the Determinants of Population Growth at the Local Level: Analysis of the Spanish Case with a GWR Approach10.1177/0160017615589009 ↗
14. Population growth in US counties, 1840–199010.1016/S0166-0462(01)00065-5 ↗
15. Road expansion, urban growth, and induced travel-A path analysis10.1080/01944360308976303 ↗
16. Global Human Capital: Integrating Education and Population10.1126/science.1206964 ↗
17. Global environmental change and migration: Governance challenges10.1016/j.gloenvcha.2009.12.001 ↗
18. Climate change and global water resources: SRES emissions and socio-economic scenarios10.1016/j.gloenvcha.2003.10.006 ↗
19. Stephane Hallegatte, M.B., Laura Bonzanigo, M.F., Tamaro Kane, U.N., Julie Rozenberg, D.T., and Vogt-Schilb, A. (2016). Shock Waves: Managing the Impacts of Climate Change on Poverty, World Bank. Climate Change and Development.10.1596/978-1-4648-0673-5 ↗
20. Global water resources: Vulnerability from climate change and population growth10.1126/science.289.5477.284 ↗
21. Heat stress increases long-term human migration in rural Pakistan10.1038/nclimate2103 ↗
22. Human migration and displacement in the context of adaptation to climate change: The Cancun Adaptation Framework and potential for future action10.1068/c1209j ↗
23. Introduction: Understanding the links between population dynamics and climate change10.1007/s11111-014-0208-1 ↗
24. Evaluation of spatio-temporal rainfall variability and performance of a stochastic rainfall model in Bangladesh10.1002/joc.6071 ↗
25. Migration as an adaptation to climate change10.1007/s10584-005-9000-7 ↗
26. WorldBank (2017, December 01). World Development Indicators. Available online: http://databank.worldbank.org/data/Views/Reports/ReportWidgetCustom.aspx?Report_Name=CountryProfile&Id=b450fd57&tbar=y&dd=y&inf=n&zm=n.
27. (2017, December 01). ILO ILOSTAT 2017. Available online: http://www.ilo.org/global/statistics-and-databases/lang--en/index.htm.
28. ADAPTATION TO CLIMATE CHANGE Time to Adapt to a Warming World, but Where’s the Science?10.1126/science.334.6059.1052 ↗
29. Indicators for social and economic coping capacity-moving toward a working definition of adaptive capacity10.1016/S0959-3780(01)00026-7 ↗
30. Climate variability and international migration: The importance of the agricultural linkage10.1016/j.jeem.2016.06.005 ↗
31. Future long-term changes in global water resources driven by socio-economic and climatic changes10.1623/hysj.52.2.247 ↗
32. Preparing for Resettlement Associated with Climate Change10.1126/science.1208821 ↗
33. CIESIN (Center for International Earth Science Information Network—Columbia University) (2016). Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals.
34. Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 410.1080/23754931.2015.1014272 ↗
35. The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework10.1073/pnas.1312330110 ↗
36. Assessing inter-sectoral climate change risks: The role of ISIMIP10.1088/1748-9326/12/1/010301 ↗
37. Assessing the impacts of 1.5 °C global warming—simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)10.5194/gmd-10-4321-2017 ↗
38. State-of-the-art global models underestimate impacts from climate extremes10.1038/s41467-019-08745-6 ↗
39. Population-Environment Interactions: European Migration, Population Composition and Climate Change10.1007/s10640-013-9677-4 ↗
40. Modelling the role of agriculture for the 20th century global terrestrial carbon balance10.1111/j.1365-2486.2006.01305.x ↗
41. Agricultural green and blue water consumption and its influence on the global water system10.1029/2007WR006331 ↗
42. Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0)10.5194/gmd-11-2789-2018 ↗
43. LPJmL4—A dynamic global vegetation model with managed land—Part 1: Model description10.5194/gmd-11-1343-2018 ↗
44. LPJmL4—A dynamic global vegetation model with managed land—Part 2: Model evaluation10.5194/gmd-11-1377-2018 ↗
45. Global gridded crop model evaluation: Benchmarking, skills, deficiencies and implications10.5194/gmd-10-1403-2017 ↗
46. LS3MIP (v1.0) contribution to CMIP6: The Land Surface, Snow and Soil moisture Model Intercomparison Project—Aims, setup and expected outcome10.5194/gmd-9-2809-2016 ↗
47. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling10.1175/JCLI3790.1 ↗
48. Influence of extreme weather disasters on global crop production10.1038/nature16467 ↗
49. Climate extremes: Observations, modeling, and impacts10.1126/science.289.5487.2068 ↗
50. Disaster-induced migration: Assessing the impact of extreme weather events on livelihoods
51. From Primitive Migration to Climate Refugees: The Curious Fate of the Natural Environment in Migration Studies10.1080/00045608.2012.696233 ↗
52. Environmental Dimensions of Migration10.1146/annurev-soc-073014-112223 ↗
53. Population growth rate and its determinants: An overview10.1098/rstb.2002.1117 ↗
54. Impact of Population Growth10.1126/science.171.3977.1212 ↗
55. Incorporating spatial non-stationarity to improve dasymetric mapping of population10.1016/j.apgeog.2015.07.002 ↗
56. Xu, Z., and Ouyang, A. (2017). The Factors Influencing China’s Population Distribution and Spatial Heterogeneity: A Prefectural-Level Analysis using Geographically Weighted Regression. Appl. Spat. Anal. Policy., 11.10.1007/s12061-017-9224-8 ↗
57. The Influence of Internal Migration on Exposure to Extreme Weather Events in Mexico10.1080/08941920.2015.1076918 ↗
58. Human Migration in the Era of Climate Change10.1093/reep/rez008 ↗
59. The role of environmental degradation in population displacement
60. Droughts in Asian Least Developed Countries: Vulnerability and sustainability10.1016/j.wace.2014.06.003 ↗
61. Does Drought Increase Migration? A Study of Migration from Rural Mali during the 1983–1985 Drought
62. The migration response to increasing temperatures10.1016/j.jdeveco.2016.05.004 ↗
63. Migration as adaptation10.1038/478477a ↗