The full text of this article hosted at iucr.org is unavailable due to technical difficulties.

Journal list menu

Geographic disparities and moral hazards in the predicted impacts of climate change on human populations

J. Samson

Corresponding Author

Department of Natural Resource Sciences, Macdonald Campus, McGill University, 21,111 Lakeshore Road, Ste‐Anne‐de‐Bellevue, QC, Canada, H9X 3V9

J. Samson, Department of Natural Resource Sciences, Macdonald Campus, McGill University, 21,111 Lakeshore Road, Ste‐Anne‐de‐Bellevue, QC, Canada, H9X 3V9. E‐mail: E-mail address:jason.samson@mail.mcgill.ca
Search for more papers by this author
D. Berteaux

Canada Research Chair in Northern Ecosystem Conservation and Centre d'Études Nordiques, Université du Québec à Rimouski, 300, Allée des Ursulines, Rimouski, QC, Canada, G5L 3A1

Search for more papers by this author
B. J. McGill

School of Biology and Ecology Sustainability Solutions Initiative, University of Maine, 5751 Murray Hall, Orono, ME 04469, USA

Search for more papers by this author
M. M. Humphries

Department of Natural Resource Sciences, Macdonald Campus, McGill University, 21,111 Lakeshore Road, Ste‐Anne‐de‐Bellevue, QC, Canada, H9X 3V9

Search for more papers by this author
First published: 17 February 2011
Cited by: 34

ABSTRACT

Aim  It has been qualitatively understood for a long time that climate change will have widely varying effects on human well‐being in different regions of the world. The spatial complexities underlying our relationship to climate and the geographical disparities in human demographic change have, however, precluded the development of global indices of the predicted regional impacts of climate change on humans. Humans will be most negatively affected by climate change in regions where populations are strongly dependent on climate and favourable climatic conditions decline. Here we use the relationship between the distribution of human population density and climate as a basis to develop the first global index of predicted impacts of climate change on human populations.

Location  Global.

Methods  We use spatially explicit models of the present relationship between human population density and climate along with forecasted climate change to predict climate vulnerabilities over the coming decades. We then globally represent regional disparities in human population dynamics estimated with our ecological niche model and with a demographic forecast and contrast these disparities with CO2 emissions data to quantitatively evaluate the notion of moral hazard in climate change policies.

Results  Strongly negative impacts of climate change are predicted in Central America, central South America, the Arabian Peninsula, Southeast Asia and much of Africa. Importantly, the regions of greatest vulnerability are generally distant from the high‐latitude regions where the magnitude of climate change will be greatest. Furthermore, populations contributing the most to greenhouse gas emissions on a per capita basis are unlikely to experience the worst impacts of climate change, satisfying the conditions for a moral hazard in climate change policies.

Main conclusions  Regionalized analysis of relationships between distribution of human population density and climate provides a novel framework for developing global indices of human vulnerability to climate change. The predicted consequences of climate change on human populations are correlated with the factors causing climate change at the regional level, providing quantitative support for many qualitative statements found in international climate change assessments.

Number of times cited: 34

  • , , Remote Sensing of Aerosols, Clouds, and Precipitation, (109)
  • , Adaptation to climate change: A review through a development economics lens, World Development, 104, (183)
  • , Adversity of prolonged extreme cold exposure among adult clients diagnosed with coronary artery diseases: a primer for recommending community health nursing intervention, Nursing Open, 5, 1, (62-69), (2017).
  • , The Factors Influencing China’s Population Distribution and Spatial Heterogeneity: a Prefectural-Level Analysis using Geographically Weighted Regression, Applied Spatial Analysis and Policy
  • , Geography, institutions and development: a review of the long-run impacts of climate change, Climate and Development, 9, 5, (452)
  • , , Alleviating World Suffering, (431)
  • , Promoting climate justice in high-income countries: lessons from African American communities on the Chesapeake Bay, Climatic Change, 143, 1-2, (185)
  • , Using Government Resettlement Projects as a Sustainable Adaptation Strategy for Climate Change, Sustainability, 9, 8, (1373)
  • , Coping with Shocks: Impact of Insurance Payouts on Small-Scale Farmers, The Geneva Papers on Risk and Insurance - Issues and Practice, 42, 2, (348)
  • , Adaptation by the least vulnerable: Managing climate and disaster risks in Finland, International Journal of Disaster Risk Reduction
  • , Biodiversity Areas under Threat: Overlap of Climate Change and Population Pressures on the World’s Biodiversity Priorities, PLOS ONE, 12, 1, (e0170615)
  • , The Ethics of Belief, Cognition, and Climate Change Pseudoskepticism: Implications for Public Discourse, Topics in Cognitive Science, 8, 1, (19-48), (2016).
  • , Climate justice in lieu of climate change: a sustainable approach to respond to the climate change injustice and an awakening of the environmental movement, Energy, Ecology and Environment, 1, 2, (67)
  • , , Equity and Justice in Developmental Science: Implications for Young People, Families, and Communities, (203)
  • , Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices, Ocean & Coastal Management, 123, (18)
  • , , Realising the 'Triple Dividend of Resilience', (129)
  • , Future climate of the Carpathians: climate change hot-spots and implications for ecosystems, Regional Environmental Change, 16, 5, (1495)
  • , Sustainability in Science Education? How the Next Generation Science Standards Approach Sustainability, and Why It Matters, Science Education, 99, 1, (121-144), (2014).
  • , Macroecological factors explain large‐scale spatial population patterns of ancient agriculturalists, Global Ecology and Biogeography, 24, 9, (1030-1039), (2015).
  • , Moral hazard in ecology, Frontiers in Ecology and Evolution, 3
  • , A critical examination of the climate engineering moral hazard and risk compensation concern, The Anthropocene Review, 2, 2, (174)
  • , Cultural knowledge and local vulnerability in African American communities, Nature Climate Change, 5, 7, (683)
  • , The costs of uncoordinated infrastructure management in multi-reservoir river basins, Environmental Research Letters, 9, 10, (105006)
  • , Climate security vulnerability in Africa mapping 3.01, Political Geography, 43, (51)
  • , When It Rains, It Pours: Future Climate Extremes and Health, Annals of Global Health, 80, 4, (332)
  • , A spatial analysis of population dynamics and climate change in Africa: potential vulnerability hot spots emerge where precipitation declines and demographic pressures coincide, Population and Environment, 35, 3, (323)
  • , A Transdisciplinary Perspective on Hedonomic Sustainability Design, Ergonomics in Design: The Quarterly of Human Factors Applications, 22, 2, (22)
  • , Emerging and Reemerging Neglected Tropical Diseases: a Review of Key Characteristics, Risk Factors, and the Policy and Innovation Environment, Clinical Microbiology Reviews, 27, 4, (949)
  • 2014 International Conference on Identification, Information and Knowledge in the Internet of Things, (2014).21210.1109/IIKI.2014.50
  • , Public Health and Global Climate Disruption, Public Health Reviews, 35, 1
  • , The climate-population nexus in the East African Horn: Emerging degradation trends in rangeland and pastoral livelihood zones, Global Environmental Change, 23, 6, (1525)
  • , Predicting climate change effects on agriculture from ecological niche modeling: who profits, who loses?, Climatic Change, 116, 2, (177)
  • , Demographic Amplification of Climate Change Experienced by the Contiguous United States Population during the 20th Century, PLoS ONE, 7, 10, (e45683)
  • , Forests and trees for social adaptation to climate variability and change, Wiley Interdisciplinary Reviews: Climate Change, 3, 6, (581-596), (2012).