Skip to main content

Vulnerability and Climate Change

  • Chapter
  • First Online:
Water, Food and Welfare

Abstract

This chapter discusses the linkages and the implications of the potential presence of large-scale hydrometeorological events in Mexico and the relevance of the water footprint methodology to strengthen the institutional management capabilities that tend to mitigate the impacts on the welfare of the population at local levels.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Scenarios elaborated by the IPCC are a collection of models for the analysis of climatic implications under different combinations of economic growth, demographic dynamics, technological patterns, and specific energy sources. The scenarios are: A1–grouping the A1FI, A1T, A1B scenarios– , A2, B1, B2. These scenarios do not include conditions related to other climate initiatives such as those derived from the Framework Convention on Climate Change or the emissions standards associated with the Montreal Protocol (IPCC 2001).

  2. 2.

    The concept of latent vulnerability is used in the sense of underlying inflation in the economy. That is, a phenomenon that has not yet occurred but could be decisive in the amplification effects.

  3. 3.

    Although cluster analysis is purely descriptive, it is a useful statistical tool to define groups based on similarities, it comprises techniques that produce classifications or types from data that were not classified initially. The method implicates finding similarities between observations by measuring the metric distance between them. There are two methods: hierarchical and nonhierarchical. With the first one, data are grouped sequentially in a nested succession using the nearest neighbor method. In the nonhierarchical method, a set of seed points is selected depending on the number of selected clusters a priori and then build clusters around these points.

  4. 4.

    In cluster analysis there is no single solution as the choice depends largely on the researcher criterion and his/her theoretical framework. He/she faces a trade: as the average distance decreases, the number of clusters increases and vice versa.

References

  • Bitrán, Daniel. Metodologías para la evaluación del impacto socioeconómico de los desastres Studies and Perspectives Series 108. México: CEPAL 2009.

    Google Scholar 

  • Brown, Amber and Marty D. Matlock. A Review of water scarcity indices and metodologies. The sustainability Consortiun, White Paper Num. 106, USA: University of Arkansas, 2011.

    Google Scholar 

  • CONAGUA. Hipercubo de estadísticas del agua en México. México: SEMARNAT, 2011.

    Google Scholar 

  • CONAGUA. Agenda del agua 2030. Avances y logros 2012. México: SEMARNAT, 2012.

    Google Scholar 

  • Constantino, Roberto and Hilda R. Davila. “Una aproximación a la vulnerabilidad y la resiliencia ante eventos hidrometeorológicos extremos en México” in Política y Cultura, 38. México: Universidad Autonoma Metropolitana, 2011.

    Google Scholar 

  • Cutter, Susan. et al. “A Place-based Model for Understanding Community Resilience to Natural Disasters” in Global Environmental Change, 18. USA: 2008.

    Google Scholar 

  • Galindo, Luis Miguel. Economía del cambio climático en México. México: SHCP, SEMARNAT, 2009.

    Google Scholar 

  • Garrido, Alberto et al. “Water footprint and virtual water trade in Spain” in Natural Resource Management and Policy Series. Spain: Springer, Fundacion Marcelino Botin, 2010.

    Google Scholar 

  • Hoekstra, Arjen and Ashok K. Chapagain. “Water footprints of nations: Water use by people as function of their consumption pattern”, Water Resources Management 21. (2007): 35–48.

    Google Scholar 

  • Hoekstra, Arjen. Water Neutral. Reducing and Offsetting the Impacts of Water Footprints, Research Report 28. The Netherlands: UNESCO-IHE, 2008.

    Google Scholar 

  • IPCC. Climate change. Impacts, adaptation and vulnerability, Third assessment report of the IPCC, WMO, UNEP: 2001.

    Google Scholar 

  • Kundzewicz, Zbigniew et al. Freshwater resources and their management. Climate Change 2007: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the IPCC. Cambridge: University Press, 2007.

    Google Scholar 

  • Magaña, Victor and Caetano, Ernesto. Pronóstico climático estacional regionalizado para la República Mexicana como elemento para la reducción de riesgo, para la identificación de opciones de adaptación al cambio climático y para la alimentación del sistema: cambio climático por estado y por sector. Informe final del proyecto INE/A1-006/2007. México: SEMARNAT, INE, UNAM, CCA, 2007.

    Google Scholar 

  • Martínez, Polioptro. Efectos del cambio climático en los recursos hídricos de México. México: IMTA, 2007.

    Google Scholar 

  • Martínez, Polioptro. Altas de vulnerabilidad hídrica en México ante el cambio climático. México: IMTA, 2010.

    Google Scholar 

  • Moser, Sussane. Resilience on the face of global environmental change, CARRI Research Report 2. USA: Oak Ridge National Laboratory, 2008.

    Google Scholar 

  • Perrings, Charles. “Resilience and sustainable development”, Environment and Development Economics 11. UK: Cambridge (2006): 417–427.

    Google Scholar 

  • Prieto, Ricaro et al. Determinación de periodos de sequía y lluvia intensa en diferentes regiones de México ante escenarios de cambio climático, Informe final del proyecto: INE/A1-056/2007. México: SEMARNAT, INE, IMTA, 2007.

    Google Scholar 

  • SEMARNAT. Distribution of costs of climate change among sectors of the Mexican economy. An input-output approach, Mexico. México: SEMARNAT, 2009.

    Google Scholar 

  • Vargas, Jorge E. “Políticas públicas para la reducción de la vulnerabilidad frente a los desastres naturales y socionaturales”, Environment and Development Series 50. Chile: CEPAL, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 The Author(s)

About this chapter

Cite this chapter

Dávila-Ibáñez, H.R., Constantino-Toto, R.M. (2016). Vulnerability and Climate Change. In: Pérez-Espejo, R., Constantino-Toto, R., Dávila-Ibáñez, H. (eds) Water, Food and Welfare. SpringerBriefs in Environment, Security, Development and Peace, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-28824-6_12

Download citation

Publish with us

Policies and ethics