Using a database, containing annual time series of population and net migration from 43 communities over 1990–2014, the authors systematically test for climigration by comparing out-migration rates from the most threatened communities with those from other, generally similar places.
Hamilton, L. C., K. Saito, P. A. Loring, R. B. Lammers and H. P. Huntington. 2016. Climigration? Population and climate change in Arctic Alaska. Population and Environment 38(2): 115-133.DOI: http://dx.doi.org/10.1007/s11111-016-0259-6
Household migration as a livelihood adaptation in response to a natural disaster: Nicaragua and Hurricane Mitch
Using data drawn from the Nicaragua Living Standards and Measurement Study Survey, this study examines international livelihood migrations from Nicaragua in the years surrounding the rapid-onset Hurricane Mitch event of 1998.
Loebach, P. 2016. Household migration as a livelihood adaptation in response to a natural disaster: Nicaragua and Hurricane Mitch. Population and Environment 38(2): 185-206.DOI: http://dx.doi.org/10.1007/s11111-016-0256-9
The study uses satellite imagery of war-torn Syria, to show how conflict and migration caused sudden reductions in Syrian agricultural land use and water use.
Müller, M. F., J. Yoon, S. M. Gorelick, N. Avisse and A. Tilmant. 2016. Impact of the Syrian refugee crisis on land use and transboundary freshwater resources. Proceedings of the National Academy of Sciences 113(52): 14932-14937.DOI: http://dx.doi.org/10.1073/pnas.1614342113
Assessing the effectiveness of a social vulnerability index in predicting heterogeneity in the impacts of natural hazards: Case study of the Tropical Storm Washi flood in the Philippines
Using raw, individual-level census data for the Philippines, the authors developed social vulnerability indices at the most basic level of governance, the barangay, to establish relationships between the derived vulnerability measurements and flood exposure and the impacts of coastal flash floods triggered by Tropical Storm Washi in the southern Philippines in December 2011.
Ignacio, J. Andres F.; Cruz, Grace T.; Nardi, Fernando; Henry, Sabine. 2016. Assessing the effectiveness of a social vulnerability index in predicting heterogeneity in the impacts of natural hazards: Case study of the Tropical Storm Washi flood in the Philippines. Vienna Yearbook of Population Research 2015 (13):91–129DOI: http://dx.doi.org/10.1553/populationyearbook2015s91
The article introduces a new, publically available data extraction system Terra Populus (TerraPop), which was designed to facilitate population–environment studies. The use of TerraPop was showcased by exploring variations in the climate–migration association in Burkina Faso and Senegal based on differences in the local food security context.
Nawrotzki, R. J., A. M. Schlak and T. A. Kugler. 2016. Climate, migration, and the local food security context: introducing Terra Populus. Population and Environment 38(2): 164-184.DOI: http://dx.doi.org/10.1007/s11111-016-0260-0
Daily mortality changes in Taiwan in the 1970s: An examination of the relationship between temperature and mortality
By examining the impact of extreme temperatures on mortality in Taiwan over the period 1971–1980, the study shows that variations in daily mortality were related to changes in temperature.
Zhao. Zhongwei; Zhu, Yuan; Tu, Edward Jow-Ching. 2016. Daily mortality changes in Taiwan in the 1970s: An examination of the relationship between temperature and mortality. Vienna Yearbook of Population Research 2015 (13):71–90DOI: http://dx.doi.org/10.1553/populationyearbook2015s71
Using a unique panel surveys dataset from rural Thailand, the paper explores the causes cited by surveyed household members for why the respondent’s household had a bad income year, and the associated demographic characteristics across households in which the respondent reported that environmental and other economic problems represented risk factors.
Meijer-Irons, Jacqueline. 2016. Who perceives what? A demographic analysis of subjective perception in rural Thailand. Vienna Yearbook of Population Research 2015 (13):167–191DOI: http://dx.doi.org/10.1553/populationyearbook2015s167
Course Syllabus. On completing the course the student will be able to:
1. Present a basic understanding of how population dynamics contribute to the causes and consequences of anthropogenic climate change, and to a population’s capacity to respond;
2. Discuss the strengths and weaknesses of different ways in which the links between population dynamics and climate change – and more generally between population and environment – can be conceptualized and studied empirically;
3. Identify and use efficiently key relevant (open-access) data sets;
4. Identify opportunities for incorporating population-based policies in a country’s climate change mitigation and adaptation strategies;
5. Extend and apply the lessons learned from studying the links between population change and climate to the broader discussion of how population dynamics figure in a country’s chances of reaching the objectives of sustainable development, namely, sustained economic growth, environmental protection, and social equity.
DEMO 8088: Population, Climate Change and Sustainable Development. Semester 2, 2016. ANU School of Demography.
The portal seeks to provide a one-stop service website to promote new research, information exchange and dialogue, intended to fill the existing data, research and knowledge gaps on the migration-environment nexus. The Environmental Migration Portal has been created as part of the "Migration, Environment and Climate Change: Evidence for Policy (MECLEP)" project funded by the European Union.
Environmental Migration Portal: Knowledge Platform on People on the Move in a Changing Climate. European Union.
Using spatial methods to test the hypothesis that there are higher levels of social vulnerability in flood-prone areas of New York City and
Mumbai, the authors employed census data to develop social vulnerability indices of the cities, New York City and Mumbai, then overlaid the SoVI scores onto flood extent maps for Hurricane Sandy (New York, October 2012) and the Mumbai flash floods (July 2005).
de Sherbinin, Alex; Bardy, Guillem. 2016. Social vulnerability to floods in two coastal megacities: New York City and Mumbai. Vienna Yearbook of Population Research 2015 (13):131–165DOI: http://dx.doi.org/10.1553/populationyearbook2015s131