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Construction of Disaster Risk in Mountain Systems and its Integrated Management

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Montology Palimpsest

Part of the book series: Montology ((M,volume 1))

Abstract

Disasters in mountain systems affect sustainability through human, economic, and environmental losses. Although disaster risk is partially understood when analyzing mountain hazards, deeper insights into lowland-upland interactions in terms of vulnerability and exposure and the way disaster risk is amplified are fundamental to reduce disaster risk. In this chapter, we look at the way in which disaster risk and disasters in mountain systems are constructed. We explore the significance of addressing root causes and disaster risk drivers, along with their interlinkages and interdependencies which echo the systemic nature of risk as a baseline to identify the key processes for integrated disaster risk management in mountain systems. This chapter concludes that in any anatomy of disaster risk, the complex and multiscalar map of spatial inequality, weak or failed governance and neglected dimension of sustained use of scientific knowledge are the main ingredients of unsuccessful disaster risk management.

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Acknowledgments

Special thanks are due to Ricardo J. Garnica-Peña for helping to elaborate the map and to Andreas Haller and Fausto Sarmiento for providing suggestions to improve this chapter.

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Authors and Affiliations

  1. Institute of Geography, National Autonomous University of Mexico (UNAM), Mexico City, Mexico

    Irasema Alcántara-Ayala

  2. University of Northern British Columbia, Lheidli T’enneh, Prince George, BC, Canada

    Marten Geertsema

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  1. Irasema Alcántara-Ayala
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Correspondence to Irasema Alcántara-Ayala .

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Editors and Affiliations

  1. Neotropical Montology Collaboratory, Department of Geography, University of Georgia, Athens, GA, USA

    Fausto O. Sarmiento

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Alcántara-Ayala, I., Geertsema, M. (2022). Construction of Disaster Risk in Mountain Systems and its Integrated Management. In: Sarmiento, F.O. (eds) Montology Palimpsest. Montology, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-031-13298-8_19

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